Overview

Dataset statistics

Number of variables130
Number of observations29
Missing cells1040
Missing cells (%)27.6%
Duplicate rows1
Duplicate rows (%)3.4%
Total size in memory29.6 KiB
Average record size in memory1.0 KiB

Variable types

Numeric1
Text129

Dataset

Description456온누리상품권지역별회수현황20157
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202535

Alerts

Dataset has 1 (3.4%) duplicate rowsDuplicates
Unnamed: 0 has 13 (44.8%) missing valuesMissing
Unnamed: 1 has 7 (24.1%) missing valuesMissing
온누리 상품권 지역별 회수 현황 has 9 (31.0%) missing valuesMissing
Unnamed: 3 has 9 (31.0%) missing valuesMissing
Unnamed: 4 has 9 (31.0%) missing valuesMissing
Unnamed: 5 has 8 (27.6%) missing valuesMissing
Unnamed: 6 has 8 (27.6%) missing valuesMissing
Unnamed: 7 has 8 (27.6%) missing valuesMissing
Unnamed: 8 has 7 (24.1%) missing valuesMissing
Unnamed: 9 has 8 (27.6%) missing valuesMissing
Unnamed: 10 has 9 (31.0%) missing valuesMissing
Unnamed: 11 has 9 (31.0%) missing valuesMissing
Unnamed: 12 has 9 (31.0%) missing valuesMissing
Unnamed: 13 has 9 (31.0%) missing valuesMissing
Unnamed: 14 has 9 (31.0%) missing valuesMissing
Unnamed: 15 has 9 (31.0%) missing valuesMissing
Unnamed: 16 has 9 (31.0%) missing valuesMissing
Unnamed: 17 has 9 (31.0%) missing valuesMissing
Unnamed: 18 has 9 (31.0%) missing valuesMissing
Unnamed: 19 has 9 (31.0%) missing valuesMissing
Unnamed: 20 has 9 (31.0%) missing valuesMissing
Unnamed: 21 has 6 (20.7%) missing valuesMissing
Unnamed: 22 has 8 (27.6%) missing valuesMissing
Unnamed: 23 has 9 (31.0%) missing valuesMissing
Unnamed: 24 has 9 (31.0%) missing valuesMissing
Unnamed: 25 has 9 (31.0%) missing valuesMissing
Unnamed: 26 has 9 (31.0%) missing valuesMissing
Unnamed: 27 has 9 (31.0%) missing valuesMissing
Unnamed: 28 has 9 (31.0%) missing valuesMissing
Unnamed: 29 has 9 (31.0%) missing valuesMissing
Unnamed: 30 has 9 (31.0%) missing valuesMissing
Unnamed: 31 has 9 (31.0%) missing valuesMissing
Unnamed: 32 has 9 (31.0%) missing valuesMissing
Unnamed: 33 has 9 (31.0%) missing valuesMissing
Unnamed: 34 has 7 (24.1%) missing valuesMissing
Unnamed: 35 has 6 (20.7%) missing valuesMissing
Unnamed: 36 has 7 (24.1%) missing valuesMissing
Unnamed: 37 has 7 (24.1%) missing valuesMissing
Unnamed: 38 has 7 (24.1%) missing valuesMissing
Unnamed: 39 has 7 (24.1%) missing valuesMissing
Unnamed: 40 has 7 (24.1%) missing valuesMissing
Unnamed: 41 has 7 (24.1%) missing valuesMissing
Unnamed: 42 has 7 (24.1%) missing valuesMissing
Unnamed: 43 has 7 (24.1%) missing valuesMissing
Unnamed: 44 has 7 (24.1%) missing valuesMissing
Unnamed: 45 has 7 (24.1%) missing valuesMissing
Unnamed: 46 has 7 (24.1%) missing valuesMissing
Unnamed: 47 has 7 (24.1%) missing valuesMissing
Unnamed: 48 has 6 (20.7%) missing valuesMissing
Unnamed: 49 has 7 (24.1%) missing valuesMissing
Unnamed: 50 has 7 (24.1%) missing valuesMissing
Unnamed: 51 has 7 (24.1%) missing valuesMissing
Unnamed: 52 has 7 (24.1%) missing valuesMissing
Unnamed: 53 has 7 (24.1%) missing valuesMissing
Unnamed: 54 has 7 (24.1%) missing valuesMissing
Unnamed: 55 has 7 (24.1%) missing valuesMissing
Unnamed: 56 has 7 (24.1%) missing valuesMissing
Unnamed: 57 has 7 (24.1%) missing valuesMissing
Unnamed: 58 has 7 (24.1%) missing valuesMissing
Unnamed: 59 has 7 (24.1%) missing valuesMissing
Unnamed: 60 has 7 (24.1%) missing valuesMissing
Unnamed: 61 has 6 (20.7%) missing valuesMissing
Unnamed: 62 has 7 (24.1%) missing valuesMissing
Unnamed: 63 has 7 (24.1%) missing valuesMissing
Unnamed: 64 has 7 (24.1%) missing valuesMissing
Unnamed: 65 has 7 (24.1%) missing valuesMissing
Unnamed: 66 has 7 (24.1%) missing valuesMissing
Unnamed: 67 has 7 (24.1%) missing valuesMissing
Unnamed: 68 has 6 (20.7%) missing valuesMissing
Unnamed: 69 has 6 (20.7%) missing valuesMissing
Unnamed: 70 has 7 (24.1%) missing valuesMissing
Unnamed: 71 has 6 (20.7%) missing valuesMissing
Unnamed: 72 has 7 (24.1%) missing valuesMissing
Unnamed: 73 has 6 (20.7%) missing valuesMissing
Unnamed: 74 has 6 (20.7%) missing valuesMissing
Unnamed: 75 has 7 (24.1%) missing valuesMissing
Unnamed: 76 has 7 (24.1%) missing valuesMissing
Unnamed: 77 has 7 (24.1%) missing valuesMissing
Unnamed: 78 has 7 (24.1%) missing valuesMissing
Unnamed: 79 has 7 (24.1%) missing valuesMissing
Unnamed: 80 has 7 (24.1%) missing valuesMissing
Unnamed: 81 has 9 (31.0%) missing valuesMissing
Unnamed: 82 has 6 (20.7%) missing valuesMissing
Unnamed: 83 has 9 (31.0%) missing valuesMissing
Unnamed: 84 has 9 (31.0%) missing valuesMissing
Unnamed: 85 has 9 (31.0%) missing valuesMissing
Unnamed: 86 has 9 (31.0%) missing valuesMissing
Unnamed: 87 has 9 (31.0%) missing valuesMissing
Unnamed: 88 has 9 (31.0%) missing valuesMissing
Unnamed: 89 has 9 (31.0%) missing valuesMissing
Unnamed: 90 has 9 (31.0%) missing valuesMissing
Unnamed: 91 has 9 (31.0%) missing valuesMissing
Unnamed: 92 has 9 (31.0%) missing valuesMissing
Unnamed: 93 has 9 (31.0%) missing valuesMissing
Unnamed: 94 has 9 (31.0%) missing valuesMissing
Unnamed: 95 has 9 (31.0%) missing valuesMissing
Unnamed: 96 has 6 (20.7%) missing valuesMissing
Unnamed: 97 has 9 (31.0%) missing valuesMissing
Unnamed: 98 has 9 (31.0%) missing valuesMissing
Unnamed: 99 has 9 (31.0%) missing valuesMissing
Unnamed: 100 has 9 (31.0%) missing valuesMissing
Unnamed: 101 has 7 (24.1%) missing valuesMissing
Unnamed: 102 has 9 (31.0%) missing valuesMissing
Unnamed: 103 has 9 (31.0%) missing valuesMissing
Unnamed: 104 has 9 (31.0%) missing valuesMissing
Unnamed: 105 has 9 (31.0%) missing valuesMissing
Unnamed: 106 has 9 (31.0%) missing valuesMissing
Unnamed: 107 has 9 (31.0%) missing valuesMissing
Unnamed: 108 has 9 (31.0%) missing valuesMissing
Unnamed: 109 has 9 (31.0%) missing valuesMissing
Unnamed: 110 has 9 (31.0%) missing valuesMissing
Unnamed: 111 has 9 (31.0%) missing valuesMissing
Unnamed: 112 has 9 (31.0%) missing valuesMissing
Unnamed: 113 has 7 (24.1%) missing valuesMissing
Unnamed: 114 has 9 (31.0%) missing valuesMissing
Unnamed: 115 has 9 (31.0%) missing valuesMissing
Unnamed: 116 has 9 (31.0%) missing valuesMissing
Unnamed: 117 has 9 (31.0%) missing valuesMissing
Unnamed: 118 has 9 (31.0%) missing valuesMissing
Unnamed: 119 has 8 (27.6%) missing valuesMissing
Unnamed: 120 has 9 (31.0%) missing valuesMissing
Unnamed: 121 has 9 (31.0%) missing valuesMissing
Unnamed: 122 has 9 (31.0%) missing valuesMissing
Unnamed: 123 has 9 (31.0%) missing valuesMissing
Unnamed: 124 has 9 (31.0%) missing valuesMissing
Unnamed: 125 has 8 (27.6%) missing valuesMissing
Unnamed: 126 has 6 (20.7%) missing valuesMissing
Unnamed: 127 has 7 (24.1%) missing valuesMissing
Unnamed: 128 has 7 (24.1%) missing valuesMissing
Unnamed: 129 has 8 (27.6%) missing valuesMissing

Reproduction

Analysis started2024-03-14 00:38:18.619363
Analysis finished2024-03-14 00:38:21.507418
Duration2.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing13
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean8.5
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-03-14T09:38:21.552568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q14.75
median8.5
Q312.25
95-th percentile15.25
Maximum16
Range15
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation4.7609523
Coefficient of variation (CV)0.56011203
Kurtosis-1.2
Mean8.5
Median Absolute Deviation (MAD)4
Skewness0
Sum136
Variance22.666667
MonotonicityNot monotonic
2024-03-14T09:38:21.645487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 1
 
3.4%
7 1
 
3.4%
6 1
 
3.4%
4 1
 
3.4%
14 1
 
3.4%
12 1
 
3.4%
16 1
 
3.4%
9 1
 
3.4%
8 1
 
3.4%
2 1
 
3.4%
Other values (6) 6
20.7%
(Missing) 13
44.8%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
16 1
3.4%
15 1
3.4%
14 1
3.4%
13 1
3.4%
12 1
3.4%
11 1
3.4%
10 1
3.4%
9 1
3.4%
8 1
3.4%
7 1
3.4%

Unnamed: 1
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:21.796499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.6818182
Min length2

Characters and Unicode

Total characters59
Distinct characters37
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row지역
2nd row강원
3rd row경기
4th row경남
5th row경북
ValueCountFrequency (%)
지역 1
 
4.5%
강원 1
 
4.5%
소계 1
 
4.5%
전자상품권(신협 1
 
4.5%
전자상품권(bc 1
 
4.5%
세종시 1
 
4.5%
충북 1
 
4.5%
충남 1
 
4.5%
제주 1
 
4.5%
전북 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:22.060634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 5
 
8.5%
경 3
 
5.1%
남 3
 
5.1%
북 3
 
5.1%
) 2
 
3.4%
상 2
 
3.4%
충 2
 
3.4%
품 2
 
3.4%
권 2
 
3.4%
( 2
 
3.4%
Other values (27) 33
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53
89.8%
Close Punctuation 2
 
3.4%
Open Punctuation 2
 
3.4%
Uppercase Letter 2
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 5
 
9.4%
경 3
 
5.7%
남 3
 
5.7%
북 3
 
5.7%
상 2
 
3.8%
충 2
 
3.8%
품 2
 
3.8%
권 2
 
3.8%
울 2
 
3.8%
산 2
 
3.8%
Other values (23) 27
50.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
B 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53
89.8%
Common 4
 
6.8%
Latin 2
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 5
 
9.4%
경 3
 
5.7%
남 3
 
5.7%
북 3
 
5.7%
상 2
 
3.8%
충 2
 
3.8%
품 2
 
3.8%
권 2
 
3.8%
울 2
 
3.8%
산 2
 
3.8%
Other values (23) 27
50.9%
Common
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%
Latin
ValueCountFrequency (%)
C 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53
89.8%
ASCII 6
 
10.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 5
 
9.4%
경 3
 
5.7%
남 3
 
5.7%
북 3
 
5.7%
상 2
 
3.8%
충 2
 
3.8%
품 2
 
3.8%
권 2
 
3.8%
울 2
 
3.8%
산 2
 
3.8%
Other values (23) 27
50.9%
ASCII
ValueCountFrequency (%)
) 2
33.3%
( 2
33.3%
C 1
16.7%
B 1
16.7%

온누리 상품권 지역별 회수 현황
Text

MISSING 

Distinct18
Distinct (%)90.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:22.197150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4
Min length2

Characters and Unicode

Total characters80
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)80.0%

Sample

1st row7월
2nd row30
3rd row2,240
4th row10
5th row810
ValueCountFrequency (%)
12,450 2
 
10.0%
0 2
 
10.0%
2,240 1
 
5.0%
10 1
 
5.0%
810 1
 
5.0%
80 1
 
5.0%
5,795 1
 
5.0%
195 1
 
5.0%
1,590 1
 
5.0%
7월 1
 
5.0%
Other values (8) 8
40.0%
2024-03-14T09:38:22.442012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
25.0%
0 14
17.5%
5 10
12.5%
1 7
 
8.8%
4 7
 
8.8%
2 5
 
6.2%
, 5
 
6.2%
8 3
 
3.8%
9 3
 
3.8%
7 2
 
2.5%
Other values (4) 4
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53
66.2%
Space Separator 20
 
25.0%
Other Punctuation 5
 
6.2%
Dash Punctuation 1
 
1.2%
Other Letter 1
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
26.4%
5 10
18.9%
1 7
13.2%
4 7
13.2%
2 5
 
9.4%
8 3
 
5.7%
9 3
 
5.7%
7 2
 
3.8%
3 1
 
1.9%
6 1
 
1.9%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 79
98.8%
Hangul 1
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
20
25.3%
0 14
17.7%
5 10
12.7%
1 7
 
8.9%
4 7
 
8.9%
2 5
 
6.3%
, 5
 
6.3%
8 3
 
3.8%
9 3
 
3.8%
7 2
 
2.5%
Other values (3) 3
 
3.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79
98.8%
Hangul 1
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
25.3%
0 14
17.7%
5 10
12.7%
1 7
 
8.9%
4 7
 
8.9%
2 5
 
6.3%
, 5
 
6.3%
8 3
 
3.8%
9 3
 
3.8%
7 2
 
2.5%
Other values (3) 3
 
3.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 3
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:22.606565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.95
Min length2

Characters and Unicode

Total characters119
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row8월
2nd row3,630
3rd row9,110
4th row805
5th row9,510
ValueCountFrequency (%)
8월 1
 
5.0%
3,630 1
 
5.0%
137,475 1
 
5.0%
1
 
5.0%
4,495 1
 
5.0%
7,565 1
 
5.0%
15,300 1
 
5.0%
3,020 1
 
5.0%
4,770 1
 
5.0%
1,280 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:22.867695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
16.8%
, 17
14.3%
0 13
10.9%
5 13
10.9%
1 11
9.2%
8 9
7.6%
9 7
 
5.9%
7 7
 
5.9%
3 6
 
5.0%
2 6
 
5.0%
Other values (4) 10
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80
67.2%
Space Separator 20
 
16.8%
Other Punctuation 17
 
14.3%
Other Letter 1
 
0.8%
Dash Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
16.2%
5 13
16.2%
1 11
13.8%
8 9
11.2%
9 7
8.8%
7 7
8.8%
3 6
7.5%
2 6
7.5%
4 6
7.5%
6 2
 
2.5%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118
99.2%
Hangul 1
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
20
16.9%
, 17
14.4%
0 13
11.0%
5 13
11.0%
1 11
9.3%
8 9
7.6%
9 7
 
5.9%
7 7
 
5.9%
3 6
 
5.1%
2 6
 
5.1%
Other values (3) 9
7.6%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
99.2%
Hangul 1
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
16.9%
, 17
14.4%
0 13
11.0%
5 13
11.0%
1 11
9.3%
8 9
7.6%
9 7
 
5.9%
7 7
 
5.9%
3 6
 
5.1%
2 6
 
5.1%
Other values (3) 9
7.6%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 4
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:23.026565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.1
Min length2

Characters and Unicode

Total characters142
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row9월
2nd row39,940
3rd row86,925
4th row100,505
5th row101,385
ValueCountFrequency (%)
9월 1
 
5.0%
39,940 1
 
5.0%
1,343,915 1
 
5.0%
1
 
5.0%
28,995 1
 
5.0%
57,025 1
 
5.0%
41,155 1
 
5.0%
39,570 1
 
5.0%
33,010 1
 
5.0%
46,785 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:23.355922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 20
14.1%
20
14.1%
5 19
13.4%
0 14
9.9%
1 13
9.2%
9 12
8.5%
3 12
8.5%
8 9
6.3%
4 8
 
5.6%
2 6
 
4.2%
Other values (4) 9
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100
70.4%
Other Punctuation 20
 
14.1%
Space Separator 20
 
14.1%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 19
19.0%
0 14
14.0%
1 13
13.0%
9 12
12.0%
3 12
12.0%
8 9
9.0%
4 8
8.0%
2 6
 
6.0%
7 4
 
4.0%
6 3
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 141
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 20
14.2%
20
14.2%
5 19
13.5%
0 14
9.9%
1 13
9.2%
9 12
8.5%
3 12
8.5%
8 9
6.4%
4 8
 
5.7%
2 6
 
4.3%
Other values (3) 8
 
5.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 20
14.2%
20
14.2%
5 19
13.5%
0 14
9.9%
1 13
9.2%
9 12
8.5%
3 12
8.5%
8 9
6.4%
4 8
 
5.7%
2 6
 
4.3%
Other values (3) 8
 
5.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 5
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing8
Missing (%)27.6%
Memory size364.0 B
2024-03-14T09:38:23.546796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length7.9047619
Min length3

Characters and Unicode

Total characters166
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row10월
2nd row76,755
3rd row285,265
4th row153,985
5th row208,610
ValueCountFrequency (%)
10월 1
 
4.2%
76,755 1
 
4.2%
365,000 1
 
4.2%
청구가 1
 
4.2%
수수료 1
 
4.2%
4,057,985 1
 
4.2%
2,564,145 1
 
4.2%
1
 
4.2%
116,430 1
 
4.2%
72,060 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T09:38:23.846024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
13.9%
, 21
12.7%
5 20
12.0%
0 16
9.6%
6 15
9.0%
1 13
7.8%
8 11
6.6%
4 9
 
5.4%
2 8
 
4.8%
3 7
 
4.2%
Other values (11) 23
13.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 112
67.5%
Space Separator 23
 
13.9%
Other Punctuation 21
 
12.7%
Other Letter 9
 
5.4%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
17.9%
0 16
14.3%
6 15
13.4%
1 13
11.6%
8 11
9.8%
4 9
8.0%
2 8
 
7.1%
3 7
 
6.2%
7 7
 
6.2%
9 6
 
5.4%
Other Letter
ValueCountFrequency (%)
수 2
22.2%
월 1
11.1%
료 1
11.1%
청 1
11.1%
구 1
11.1%
가 1
11.1%
많 1
11.1%
음 1
11.1%
Space Separator
ValueCountFrequency (%)
23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 157
94.6%
Hangul 9
 
5.4%

Most frequent character per script

Common
ValueCountFrequency (%)
23
14.6%
, 21
13.4%
5 20
12.7%
0 16
10.2%
6 15
9.6%
1 13
8.3%
8 11
7.0%
4 9
 
5.7%
2 8
 
5.1%
3 7
 
4.5%
Other values (3) 14
8.9%
Hangul
ValueCountFrequency (%)
수 2
22.2%
월 1
11.1%
료 1
11.1%
청 1
11.1%
구 1
11.1%
가 1
11.1%
많 1
11.1%
음 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 157
94.6%
Hangul 9
 
5.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
14.6%
, 21
13.4%
5 20
12.7%
0 16
10.2%
6 15
9.6%
1 13
8.3%
8 11
7.0%
4 9
 
5.7%
2 8
 
5.1%
3 7
 
4.5%
Other values (3) 14
8.9%
Hangul
ValueCountFrequency (%)
수 2
22.2%
월 1
11.1%
료 1
11.1%
청 1
11.1%
구 1
11.1%
가 1
11.1%
많 1
11.1%
음 1
11.1%

Unnamed: 6
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing8
Missing (%)27.6%
Memory size364.0 B
2024-03-14T09:38:24.012848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length6
Mean length6.6666667
Min length3

Characters and Unicode

Total characters140
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row11월
2nd row32,010
3rd row211,010
4th row74,120
5th row83,100
ValueCountFrequency (%)
11월 1
 
4.3%
28,965 1
 
4.3%
360,000 1
 
4.3%
청구가 1
 
4.3%
5,258,335 1
 
4.3%
1,200,350 1
 
4.3%
1
 
4.3%
54,680 1
 
4.3%
29,280 1
 
4.3%
20,690 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T09:38:24.268911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25
17.9%
, 21
15.0%
1 15
10.7%
3 12
8.6%
2 12
8.6%
5 12
8.6%
8 7
 
5.0%
6 7
 
5.0%
4 7
 
5.0%
6
 
4.3%
Other values (9) 16
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 106
75.7%
Other Punctuation 21
 
15.0%
Space Separator 6
 
4.3%
Other Letter 6
 
4.3%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25
23.6%
1 15
14.2%
3 12
11.3%
2 12
11.3%
5 12
11.3%
8 7
 
6.6%
6 7
 
6.6%
4 7
 
6.6%
9 5
 
4.7%
7 4
 
3.8%
Other Letter
ValueCountFrequency (%)
월 1
16.7%
청 1
16.7%
구 1
16.7%
가 1
16.7%
적 1
16.7%
음 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 134
95.7%
Hangul 6
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25
18.7%
, 21
15.7%
1 15
11.2%
3 12
9.0%
2 12
9.0%
5 12
9.0%
8 7
 
5.2%
6 7
 
5.2%
4 7
 
5.2%
6
 
4.5%
Other values (3) 10
 
7.5%
Hangul
ValueCountFrequency (%)
월 1
16.7%
청 1
16.7%
구 1
16.7%
가 1
16.7%
적 1
16.7%
음 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134
95.7%
Hangul 6
 
4.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25
18.7%
, 21
15.7%
1 15
11.2%
3 12
9.0%
2 12
9.0%
5 12
9.0%
8 7
 
5.2%
6 7
 
5.2%
4 7
 
5.2%
6
 
4.5%
Other values (3) 10
 
7.5%
Hangul
ValueCountFrequency (%)
월 1
16.7%
청 1
16.7%
구 1
16.7%
가 1
16.7%
적 1
16.7%
음 1
16.7%

Unnamed: 7
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing8
Missing (%)27.6%
Memory size364.0 B
2024-03-14T09:38:24.433538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.3333333
Min length3

Characters and Unicode

Total characters154
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row12월
2nd row35,415
3rd row227,985
4th row52,670
5th row76,845
ValueCountFrequency (%)
12월 1
 
4.3%
23,345 1
 
4.3%
10,000 1
 
4.3%
청구가 1
 
4.3%
6,314,210 1
 
4.3%
1,055,875 1
 
4.3%
1
 
4.3%
43,665 1
 
4.3%
23,050 1
 
4.3%
13,715 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T09:38:24.720179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 24
15.6%
22
14.3%
, 21
13.6%
0 16
10.4%
1 13
8.4%
3 11
7.1%
2 10
6.5%
4 9
 
5.8%
6 8
 
5.2%
7 6
 
3.9%
Other values (9) 14
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 104
67.5%
Space Separator 22
 
14.3%
Other Punctuation 21
 
13.6%
Other Letter 6
 
3.9%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 24
23.1%
0 16
15.4%
1 13
12.5%
3 11
10.6%
2 10
9.6%
4 9
 
8.7%
6 8
 
7.7%
7 6
 
5.8%
8 4
 
3.8%
9 3
 
2.9%
Other Letter
ValueCountFrequency (%)
월 1
16.7%
청 1
16.7%
구 1
16.7%
가 1
16.7%
적 1
16.7%
음 1
16.7%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 148
96.1%
Hangul 6
 
3.9%

Most frequent character per script

Common
ValueCountFrequency (%)
5 24
16.2%
22
14.9%
, 21
14.2%
0 16
10.8%
1 13
8.8%
3 11
7.4%
2 10
6.8%
4 9
 
6.1%
6 8
 
5.4%
7 6
 
4.1%
Other values (3) 8
 
5.4%
Hangul
ValueCountFrequency (%)
월 1
16.7%
청 1
16.7%
구 1
16.7%
가 1
16.7%
적 1
16.7%
음 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 148
96.1%
Hangul 6
 
3.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 24
16.2%
22
14.9%
, 21
14.2%
0 16
10.8%
1 13
8.8%
3 11
7.4%
2 10
6.8%
4 9
 
6.1%
6 8
 
5.4%
7 6
 
4.1%
Other values (3) 8
 
5.4%
Hangul
ValueCountFrequency (%)
월 1
16.7%
청 1
16.7%
구 1
16.7%
가 1
16.7%
적 1
16.7%
음 1
16.7%

Unnamed: 8
Text

MISSING 

Distinct20
Distinct (%)90.9%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:24.865509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length7.6818182
Min length2

Characters and Unicode

Total characters169
Distinct characters19
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st row2009년 (7월~12월)
2nd row187,780
3rd row822,535
4th row382,095
5th row480,260
ValueCountFrequency (%)
6,314,210 2
 
8.7%
0 2
 
8.7%
166,960 1
 
4.3%
822,535 1
 
4.3%
382,095 1
 
4.3%
187,780 1
 
4.3%
1
 
4.3%
248,265 1
 
4.3%
189,020 1
 
4.3%
139,450 1
 
4.3%
Other values (11) 11
47.8%
2024-03-14T09:38:25.109472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22
13.0%
22
13.0%
, 20
11.8%
2 16
9.5%
1 15
8.9%
5 14
8.3%
9 12
7.1%
3 10
5.9%
8 9
5.3%
6 9
5.3%
Other values (9) 20
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 119
70.4%
Space Separator 22
 
13.0%
Other Punctuation 20
 
11.8%
Other Letter 3
 
1.8%
Control 1
 
0.6%
Open Punctuation 1
 
0.6%
Math Symbol 1
 
0.6%
Close Punctuation 1
 
0.6%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22
18.5%
2 16
13.4%
1 15
12.6%
5 14
11.8%
9 12
10.1%
3 10
8.4%
8 9
7.6%
6 9
7.6%
4 8
 
6.7%
7 4
 
3.4%
Other Letter
ValueCountFrequency (%)
월 2
66.7%
년 1
33.3%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 166
98.2%
Hangul 3
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22
13.3%
22
13.3%
, 20
12.0%
2 16
9.6%
1 15
9.0%
5 14
8.4%
9 12
7.2%
3 10
6.0%
8 9
5.4%
6 9
5.4%
Other values (7) 17
10.2%
Hangul
ValueCountFrequency (%)
월 2
66.7%
년 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 166
98.2%
Hangul 3
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22
13.3%
22
13.3%
, 20
12.0%
2 16
9.6%
1 15
9.0%
5 14
8.4%
9 12
7.2%
3 10
6.0%
8 9
5.4%
6 9
5.4%
Other values (7) 17
10.2%
Hangul
ValueCountFrequency (%)
월 2
66.7%
년 1
33.3%

Unnamed: 9
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing8
Missing (%)27.6%
Memory size364.0 B
2024-03-14T09:38:25.275505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length6.952381
Min length2

Characters and Unicode

Total characters146
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row2010년
2nd row1월
3rd row43,095
4th row187,110
5th row51,655
ValueCountFrequency (%)
2010년 1
 
4.8%
40,950 1
 
4.8%
1,025,590 1
 
4.8%
1
 
4.8%
42,145 1
 
4.8%
20,040 1
 
4.8%
15,085 1
 
4.8%
116,455 1
 
4.8%
19,560 1
 
4.8%
40,270 1
 
4.8%
Other values (11) 11
52.4%
2024-03-14T09:38:25.593323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23
15.8%
, 20
13.7%
5 20
13.7%
20
13.7%
1 15
10.3%
4 9
 
6.2%
2 8
 
5.5%
9 7
 
4.8%
8 7
 
4.8%
3 6
 
4.1%
Other values (5) 11
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 103
70.5%
Other Punctuation 20
 
13.7%
Space Separator 20
 
13.7%
Other Letter 2
 
1.4%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
22.3%
5 20
19.4%
1 15
14.6%
4 9
 
8.7%
2 8
 
7.8%
9 7
 
6.8%
8 7
 
6.8%
3 6
 
5.8%
7 5
 
4.9%
6 3
 
2.9%
Other Letter
ValueCountFrequency (%)
년 1
50.0%
월 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 144
98.6%
Hangul 2
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23
16.0%
, 20
13.9%
5 20
13.9%
20
13.9%
1 15
10.4%
4 9
 
6.2%
2 8
 
5.6%
9 7
 
4.9%
8 7
 
4.9%
3 6
 
4.2%
Other values (3) 9
 
6.2%
Hangul
ValueCountFrequency (%)
년 1
50.0%
월 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 144
98.6%
Hangul 2
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23
16.0%
, 20
13.9%
5 20
13.9%
20
13.9%
1 15
10.4%
4 9
 
6.2%
2 8
 
5.6%
9 7
 
4.9%
8 7
 
4.9%
3 6
 
4.2%
Other values (3) 9
 
6.2%
Hangul
ValueCountFrequency (%)
년 1
50.0%
월 1
50.0%

Unnamed: 10
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:25.801617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length6.95
Min length2

Characters and Unicode

Total characters139
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월
2nd row112,335
3rd row778,265
4th row476,335
5th row429,175
ValueCountFrequency (%)
2월 1
 
5.0%
112,335 1
 
5.0%
6,053,635 1
 
5.0%
1
 
5.0%
218,625 1
 
5.0%
163,595 1
 
5.0%
67,025 1
 
5.0%
637,395 1
 
5.0%
130,375 1
 
5.0%
200,935 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:26.068570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 21
15.1%
5 21
15.1%
3 16
11.5%
1 13
9.4%
2 12
8.6%
6 11
7.9%
0 11
7.9%
7 9
6.5%
4 7
 
5.0%
8 6
 
4.3%
Other values (4) 12
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 112
80.6%
Other Punctuation 21
 
15.1%
Space Separator 4
 
2.9%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 21
18.8%
3 16
14.3%
1 13
11.6%
2 12
10.7%
6 11
9.8%
0 11
9.8%
7 9
8.0%
4 7
 
6.2%
8 6
 
5.4%
9 6
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 21
15.2%
5 21
15.2%
3 16
11.6%
1 13
9.4%
2 12
8.7%
6 11
8.0%
0 11
8.0%
7 9
6.5%
4 7
 
5.1%
8 6
 
4.3%
Other values (3) 11
8.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 21
15.2%
5 21
15.2%
3 16
11.6%
1 13
9.4%
2 12
8.7%
6 11
8.0%
0 11
8.0%
7 9
6.5%
4 7
 
5.1%
8 6
 
4.3%
Other values (3) 11
8.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 11
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:26.226581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length6.8
Min length2

Characters and Unicode

Total characters136
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row3월
2nd row98,240
3rd row507,870
4th row311,270
5th row311,780
ValueCountFrequency (%)
3월 1
 
5.0%
98,240 1
 
5.0%
4,809,590 1
 
5.0%
1
 
5.0%
139,965 1
 
5.0%
120,085 1
 
5.0%
47,590 1
 
5.0%
844,475 1
 
5.0%
145,725 1
 
5.0%
122,590 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:26.481276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23
16.9%
, 20
14.7%
5 15
11.0%
1 14
10.3%
2 12
8.8%
8 11
8.1%
4 9
 
6.6%
3 8
 
5.9%
9 8
 
5.9%
7 7
 
5.1%
Other values (4) 9
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110
80.9%
Other Punctuation 20
 
14.7%
Space Separator 4
 
2.9%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
20.9%
5 15
13.6%
1 14
12.7%
2 12
10.9%
8 11
10.0%
4 9
 
8.2%
3 8
 
7.3%
9 8
 
7.3%
7 7
 
6.4%
6 3
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 135
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23
17.0%
, 20
14.8%
5 15
11.1%
1 14
10.4%
2 12
8.9%
8 11
8.1%
4 9
 
6.7%
3 8
 
5.9%
9 8
 
5.9%
7 7
 
5.2%
Other values (3) 8
 
5.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 135
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23
17.0%
, 20
14.8%
5 15
11.1%
1 14
10.4%
2 12
8.9%
8 11
8.1%
4 9
 
6.7%
3 8
 
5.9%
9 8
 
5.9%
7 7
 
5.2%
Other values (3) 8
 
5.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 12
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:26.646169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.55
Min length2

Characters and Unicode

Total characters131
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row4월
2nd row54,315
3rd row253,445
4th row167,195
5th row142,530
ValueCountFrequency (%)
4월 1
 
5.0%
54,315 1
 
5.0%
3,362,905 1
 
5.0%
1
 
5.0%
80,770 1
 
5.0%
62,880 1
 
5.0%
27,355 1
 
5.0%
916,790 1
 
5.0%
157,280 1
 
5.0%
82,315 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:26.911613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 20
15.3%
5 17
13.0%
3 14
10.7%
0 14
10.7%
1 13
9.9%
7 12
9.2%
2 11
8.4%
6 7
 
5.3%
4 6
 
4.6%
9 6
 
4.6%
Other values (4) 11
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 105
80.2%
Other Punctuation 20
 
15.3%
Space Separator 4
 
3.1%
Other Letter 1
 
0.8%
Dash Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 17
16.2%
3 14
13.3%
0 14
13.3%
1 13
12.4%
7 12
11.4%
2 11
10.5%
6 7
6.7%
4 6
 
5.7%
9 6
 
5.7%
8 5
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 130
99.2%
Hangul 1
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
, 20
15.4%
5 17
13.1%
3 14
10.8%
0 14
10.8%
1 13
10.0%
7 12
9.2%
2 11
8.5%
6 7
 
5.4%
4 6
 
4.6%
9 6
 
4.6%
Other values (3) 10
7.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 130
99.2%
Hangul 1
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 20
15.4%
5 17
13.1%
3 14
10.8%
0 14
10.8%
1 13
10.0%
7 12
9.2%
2 11
8.5%
6 7
 
5.4%
4 6
 
4.6%
9 6
 
4.6%
Other values (3) 10
7.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 13
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:27.079521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.45
Min length2

Characters and Unicode

Total characters129
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row5월
2nd row35,935
3rd row219,780
4th row94,785
5th row108,555
ValueCountFrequency (%)
5월 1
 
5.0%
35,935 1
 
5.0%
2,597,380 1
 
5.0%
1
 
5.0%
74,970 1
 
5.0%
42,590 1
 
5.0%
20,515 1
 
5.0%
862,765 1
 
5.0%
115,735 1
 
5.0%
98,855 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:27.348963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 22
17.1%
, 20
15.5%
0 12
9.3%
2 10
7.8%
1 10
7.8%
8 10
7.8%
3 9
7.0%
7 9
7.0%
9 8
 
6.2%
4 8
 
6.2%
Other values (4) 11
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 103
79.8%
Other Punctuation 20
 
15.5%
Space Separator 4
 
3.1%
Other Letter 1
 
0.8%
Dash Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 22
21.4%
0 12
11.7%
2 10
9.7%
1 10
9.7%
8 10
9.7%
3 9
8.7%
7 9
8.7%
9 8
 
7.8%
4 8
 
7.8%
6 5
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 128
99.2%
Hangul 1
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
5 22
17.2%
, 20
15.6%
0 12
9.4%
2 10
7.8%
1 10
7.8%
8 10
7.8%
3 9
7.0%
7 9
7.0%
9 8
 
6.2%
4 8
 
6.2%
Other values (3) 10
7.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 128
99.2%
Hangul 1
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 22
17.2%
, 20
15.6%
0 12
9.4%
2 10
7.8%
1 10
7.8%
8 10
7.8%
3 9
7.0%
7 9
7.0%
9 8
 
6.2%
4 8
 
6.2%
Other values (3) 10
7.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 14
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:27.534596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10.5
Mean length6.4
Min length2

Characters and Unicode

Total characters128
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row6월
2nd row34,600
3rd row194,230
4th row58,585
5th row74,855
ValueCountFrequency (%)
6월 1
 
5.0%
34,600 1
 
5.0%
2,508,480 1
 
5.0%
1
 
5.0%
53,855 1
 
5.0%
36,670 1
 
5.0%
16,210 1
 
5.0%
903,945 1
 
5.0%
120,270 1
 
5.0%
86,470 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:27.801978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 20
15.6%
0 16
12.5%
5 16
12.5%
2 12
9.4%
8 10
7.8%
6 9
7.0%
4 9
7.0%
7 9
7.0%
3 8
 
6.2%
1 7
 
5.5%
Other values (4) 12
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 102
79.7%
Other Punctuation 20
 
15.6%
Space Separator 4
 
3.1%
Other Letter 1
 
0.8%
Dash Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
15.7%
5 16
15.7%
2 12
11.8%
8 10
9.8%
6 9
8.8%
4 9
8.8%
7 9
8.8%
3 8
7.8%
1 7
6.9%
9 6
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 127
99.2%
Hangul 1
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
, 20
15.7%
0 16
12.6%
5 16
12.6%
2 12
9.4%
8 10
7.9%
6 9
7.1%
4 9
7.1%
7 9
7.1%
3 8
 
6.3%
1 7
 
5.5%
Other values (3) 11
8.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 127
99.2%
Hangul 1
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 20
15.7%
0 16
12.6%
5 16
12.6%
2 12
9.4%
8 10
7.9%
6 9
7.1%
4 9
7.1%
7 9
7.1%
3 8
 
6.3%
1 7
 
5.5%
Other values (3) 11
8.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 15
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:28.000058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length6.35
Min length2

Characters and Unicode

Total characters127
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row7월
2nd row31,255
3rd row168,575
4th row45,135
5th row66,785
ValueCountFrequency (%)
7월 1
 
5.0%
31,255 1
 
5.0%
2,840,165 1
 
5.0%
1
 
5.0%
46,205 1
 
5.0%
29,720 1
 
5.0%
13,475 1
 
5.0%
798,260 1
 
5.0%
735,690 1
 
5.0%
53,730 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:28.461673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 20
15.7%
5 20
15.7%
3 11
8.7%
6 11
8.7%
1 10
7.9%
2 10
7.9%
9 10
7.9%
0 9
7.1%
7 8
 
6.3%
8 6
 
4.7%
Other values (4) 12
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 101
79.5%
Other Punctuation 20
 
15.7%
Space Separator 4
 
3.1%
Other Letter 1
 
0.8%
Dash Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
19.8%
3 11
10.9%
6 11
10.9%
1 10
9.9%
2 10
9.9%
9 10
9.9%
0 9
8.9%
7 8
 
7.9%
8 6
 
5.9%
4 6
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 126
99.2%
Hangul 1
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
, 20
15.9%
5 20
15.9%
3 11
8.7%
6 11
8.7%
1 10
7.9%
2 10
7.9%
9 10
7.9%
0 9
7.1%
7 8
 
6.3%
8 6
 
4.8%
Other values (3) 11
8.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 126
99.2%
Hangul 1
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 20
15.9%
5 20
15.9%
3 11
8.7%
6 11
8.7%
1 10
7.9%
2 10
7.9%
9 10
7.9%
0 9
7.1%
7 8
 
6.3%
8 6
 
4.8%
Other values (3) 11
8.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 16
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:28.624057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10.5
Mean length6.5
Min length2

Characters and Unicode

Total characters130
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row8월
2nd row38,980
3rd row192,515
4th row48,195
5th row54,905
ValueCountFrequency (%)
8월 1
 
5.0%
38,980 1
 
5.0%
3,632,795 1
 
5.0%
1
 
5.0%
63,645 1
 
5.0%
35,375 1
 
5.0%
13,655 1
 
5.0%
778,225 1
 
5.0%
1,664,605 1
 
5.0%
36,855 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:28.920289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 23
17.7%
, 21
16.2%
3 14
10.8%
4 12
9.2%
1 10
7.7%
0 9
 
6.9%
6 9
 
6.9%
7 8
 
6.2%
8 7
 
5.4%
2 6
 
4.6%
Other values (4) 11
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 103
79.2%
Other Punctuation 21
 
16.2%
Space Separator 4
 
3.1%
Other Letter 1
 
0.8%
Dash Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 23
22.3%
3 14
13.6%
4 12
11.7%
1 10
9.7%
0 9
 
8.7%
6 9
 
8.7%
7 8
 
7.8%
8 7
 
6.8%
2 6
 
5.8%
9 5
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 129
99.2%
Hangul 1
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
5 23
17.8%
, 21
16.3%
3 14
10.9%
4 12
9.3%
1 10
7.8%
0 9
 
7.0%
6 9
 
7.0%
7 8
 
6.2%
8 7
 
5.4%
2 6
 
4.7%
Other values (3) 10
7.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129
99.2%
Hangul 1
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 23
17.8%
, 21
16.3%
3 14
10.9%
4 12
9.3%
1 10
7.8%
0 9
 
7.0%
6 9
 
7.0%
7 8
 
6.2%
8 7
 
5.4%
2 6
 
4.7%
Other values (3) 10
7.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 17
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:29.084650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.5
Min length2

Characters and Unicode

Total characters150
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row9월
2nd row193,030
3rd row1,095,725
4th row756,245
5th row554,810
ValueCountFrequency (%)
9월 1
 
5.0%
193,030 1
 
5.0%
12,280,220 1
 
5.0%
1
 
5.0%
348,565 1
 
5.0%
293,580 1
 
5.0%
82,065 1
 
5.0%
1,381,705 1
 
5.0%
2,369,835 1
 
5.0%
331,915 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:29.335391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 26
17.3%
5 21
14.0%
0 15
10.0%
2 15
10.0%
1 14
9.3%
3 12
8.0%
9 10
 
6.7%
8 10
 
6.7%
7 7
 
4.7%
6 7
 
4.7%
Other values (4) 13
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 118
78.7%
Other Punctuation 26
 
17.3%
Space Separator 4
 
2.7%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 21
17.8%
0 15
12.7%
2 15
12.7%
1 14
11.9%
3 12
10.2%
9 10
8.5%
8 10
8.5%
7 7
 
5.9%
6 7
 
5.9%
4 7
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 149
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 26
17.4%
5 21
14.1%
0 15
10.1%
2 15
10.1%
1 14
9.4%
3 12
8.1%
9 10
 
6.7%
8 10
 
6.7%
7 7
 
4.7%
6 7
 
4.7%
Other values (3) 12
8.1%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 149
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 26
17.4%
5 21
14.1%
0 15
10.1%
2 15
10.1%
1 14
9.4%
3 12
8.1%
9 10
 
6.7%
8 10
 
6.7%
7 7
 
4.7%
6 7
 
4.7%
Other values (3) 12
8.1%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 18
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:29.522662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length7.25
Min length3

Characters and Unicode

Total characters145
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row10월
2nd row157,795
3rd row861,435
4th row565,885
5th row360,810
ValueCountFrequency (%)
10월 1
 
5.0%
157,795 1
 
5.0%
10,647,130 1
 
5.0%
1
 
5.0%
299,250 1
 
5.0%
250,285 1
 
5.0%
79,705 1
 
5.0%
1,306,000 1
 
5.0%
2,450,270 1
 
5.0%
376,920 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:29.819029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23
15.9%
, 23
15.9%
5 16
11.0%
2 13
9.0%
1 12
8.3%
6 10
6.9%
7 9
 
6.2%
8 9
 
6.2%
3 9
 
6.2%
4 8
 
5.5%
Other values (4) 13
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 116
80.0%
Other Punctuation 23
 
15.9%
Space Separator 4
 
2.8%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
19.8%
5 16
13.8%
2 13
11.2%
1 12
10.3%
6 10
8.6%
7 9
 
7.8%
8 9
 
7.8%
3 9
 
7.8%
4 8
 
6.9%
9 7
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 144
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23
16.0%
, 23
16.0%
5 16
11.1%
2 13
9.0%
1 12
8.3%
6 10
6.9%
7 9
 
6.2%
8 9
 
6.2%
3 9
 
6.2%
4 8
 
5.6%
Other values (3) 12
8.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 144
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23
16.0%
, 23
16.0%
5 16
11.1%
2 13
9.0%
1 12
8.3%
6 10
6.9%
7 9
 
6.2%
8 9
 
6.2%
3 9
 
6.2%
4 8
 
5.6%
Other values (3) 12
8.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 19
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:29.973052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length7.1
Min length3

Characters and Unicode

Total characters142
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row11월
2nd row107,115
3rd row597,085
4th row370,005
5th row223,010
ValueCountFrequency (%)
11월 1
 
5.0%
107,115 1
 
5.0%
7,661,965 1
 
5.0%
1
 
5.0%
158,755 1
 
5.0%
239,965 1
 
5.0%
58,115 1
 
5.0%
1,261,410 1
 
5.0%
1,969,035 1
 
5.0%
183,260 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:30.299093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 22
15.5%
5 20
14.1%
1 18
12.7%
0 16
11.3%
6 12
8.5%
7 11
7.7%
3 11
7.7%
8 9
6.3%
9 6
 
4.2%
2 6
 
4.2%
Other values (4) 11
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114
80.3%
Other Punctuation 22
 
15.5%
Space Separator 4
 
2.8%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
17.5%
1 18
15.8%
0 16
14.0%
6 12
10.5%
7 11
9.6%
3 11
9.6%
8 9
7.9%
9 6
 
5.3%
2 6
 
5.3%
4 5
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 141
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 22
15.6%
5 20
14.2%
1 18
12.8%
0 16
11.3%
6 12
8.5%
7 11
7.8%
3 11
7.8%
8 9
6.4%
9 6
 
4.3%
2 6
 
4.3%
Other values (3) 10
7.1%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 22
15.6%
5 20
14.2%
1 18
12.8%
0 16
11.3%
6 12
8.5%
7 11
7.8%
3 11
7.8%
8 9
6.4%
9 6
 
4.3%
2 6
 
4.3%
Other values (3) 10
7.1%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 20
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:30.472342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length6.9
Min length3

Characters and Unicode

Total characters138
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row12월
2nd row99,635
3rd row727,080
4th row336,335
5th row213,145
ValueCountFrequency (%)
12월 1
 
5.0%
99,635 1
 
5.0%
6,414,015 1
 
5.0%
1
 
5.0%
98,055 1
 
5.0%
189,495 1
 
5.0%
59,820 1
 
5.0%
958,400 1
 
5.0%
1,409,935 1
 
5.0%
154,740 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:30.747328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 21
15.2%
0 17
12.3%
5 15
10.9%
1 13
9.4%
4 12
8.7%
3 11
8.0%
9 10
7.2%
7 10
7.2%
2 8
 
5.8%
8 8
 
5.8%
Other values (4) 13
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111
80.4%
Other Punctuation 21
 
15.2%
Space Separator 4
 
2.9%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
15.3%
5 15
13.5%
1 13
11.7%
4 12
10.8%
3 11
9.9%
9 10
9.0%
7 10
9.0%
2 8
7.2%
8 8
7.2%
6 7
6.3%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 137
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 21
15.3%
0 17
12.4%
5 15
10.9%
1 13
9.5%
4 12
8.8%
3 11
8.0%
9 10
7.3%
7 10
7.3%
2 8
 
5.8%
8 8
 
5.8%
Other values (3) 12
8.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 21
15.3%
0 17
12.4%
5 15
10.9%
1 13
9.5%
4 12
8.8%
3 11
8.0%
9 10
7.3%
7 10
7.3%
2 8
 
5.8%
8 8
 
5.8%
Other values (3) 12
8.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 21
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:38:30.900233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.6086957
Min length2

Characters and Unicode

Total characters198
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row단위 : 천원
2nd row소계
3rd row1,006,330
4th row5,783,115
5th row3,281,625
ValueCountFrequency (%)
0 2
 
8.0%
2
 
8.0%
11,288,315 1
 
4.0%
천원 1
 
4.0%
단위 1
 
4.0%
1,638,190 1
 
4.0%
63,833,870 1
 
4.0%
1,624,805 1
 
4.0%
1,484,280 1
 
4.0%
500,615 1
 
4.0%
Other values (13) 13
52.0%
2024-03-14T09:38:31.154424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 35
17.7%
0 25
12.6%
24
12.1%
5 17
8.6%
1 17
8.6%
8 16
8.1%
3 15
7.6%
2 12
 
6.1%
6 11
 
5.6%
4 8
 
4.0%
Other values (10) 18
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 131
66.2%
Other Punctuation 36
 
18.2%
Space Separator 24
 
12.1%
Other Letter 6
 
3.0%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25
19.1%
5 17
13.0%
1 17
13.0%
8 16
12.2%
3 15
11.5%
2 12
9.2%
6 11
8.4%
4 8
 
6.1%
7 7
 
5.3%
9 3
 
2.3%
Other Letter
ValueCountFrequency (%)
소 1
16.7%
계 1
16.7%
단 1
16.7%
위 1
16.7%
천 1
16.7%
원 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 35
97.2%
: 1
 
2.8%
Space Separator
ValueCountFrequency (%)
24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
97.0%
Hangul 6
 
3.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 35
18.2%
0 25
13.0%
24
12.5%
5 17
8.9%
1 17
8.9%
8 16
8.3%
3 15
7.8%
2 12
 
6.2%
6 11
 
5.7%
4 8
 
4.2%
Other values (4) 12
 
6.2%
Hangul
ValueCountFrequency (%)
소 1
16.7%
계 1
16.7%
단 1
16.7%
위 1
16.7%
천 1
16.7%
원 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
97.0%
Hangul 6
 
3.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 35
18.2%
0 25
13.0%
24
12.5%
5 17
8.9%
1 17
8.9%
8 16
8.3%
3 15
7.8%
2 12
 
6.2%
6 11
 
5.7%
4 8
 
4.2%
Other values (4) 12
 
6.2%
Hangul
ValueCountFrequency (%)
소 1
16.7%
계 1
16.7%
단 1
16.7%
위 1
16.7%
천 1
16.7%
원 1
16.7%

Unnamed: 22
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing8
Missing (%)27.6%
Memory size364.0 B
2024-03-14T09:38:31.308887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length6.952381
Min length2

Characters and Unicode

Total characters146
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row2011년
2nd row1월
3rd row123,755
4th row688,410
5th row448,150
ValueCountFrequency (%)
2011년 1
 
4.8%
227,895 1
 
4.8%
8,810,310 1
 
4.8%
1
 
4.8%
149,515 1
 
4.8%
183,410 1
 
4.8%
63,740 1
 
4.8%
1,193,505 1
 
4.8%
1,955,295 1
 
4.8%
456,380 1
 
4.8%
Other values (11) 11
52.4%
2024-03-14T09:38:31.563957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 22
15.1%
5 19
13.0%
1 16
11.0%
8 15
10.3%
0 12
8.2%
9 12
8.2%
2 11
7.5%
3 11
7.5%
4 9
6.2%
7 8
 
5.5%
Other values (5) 11
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 117
80.1%
Other Punctuation 22
 
15.1%
Space Separator 4
 
2.7%
Other Letter 2
 
1.4%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 19
16.2%
1 16
13.7%
8 15
12.8%
0 12
10.3%
9 12
10.3%
2 11
9.4%
3 11
9.4%
4 9
7.7%
7 8
6.8%
6 4
 
3.4%
Other Letter
ValueCountFrequency (%)
년 1
50.0%
월 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 144
98.6%
Hangul 2
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
, 22
15.3%
5 19
13.2%
1 16
11.1%
8 15
10.4%
0 12
8.3%
9 12
8.3%
2 11
7.6%
3 11
7.6%
4 9
6.2%
7 8
 
5.6%
Other values (3) 9
6.2%
Hangul
ValueCountFrequency (%)
년 1
50.0%
월 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 144
98.6%
Hangul 2
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 22
15.3%
5 19
13.2%
1 16
11.1%
8 15
10.4%
0 12
8.3%
9 12
8.3%
2 11
7.6%
3 11
7.6%
4 9
6.2%
7 8
 
5.6%
Other values (3) 9
6.2%
Hangul
ValueCountFrequency (%)
년 1
50.0%
월 1
50.0%

Unnamed: 23
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:31.755316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.65
Min length2

Characters and Unicode

Total characters153
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월
2nd row277,905
3rd row1,238,105
4th row772,635
5th row638,620
ValueCountFrequency (%)
2월 1
 
5.0%
277,905 1
 
5.0%
13,676,855 1
 
5.0%
1
 
5.0%
254,185 1
 
5.0%
266,485 1
 
5.0%
202,565 1
 
5.0%
1,455,930 1
 
5.0%
2,208,390 1
 
5.0%
1,040,750 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:32.038129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 27
17.6%
5 20
13.1%
2 18
11.8%
0 17
11.1%
6 14
9.2%
8 10
 
6.5%
9 9
 
5.9%
1 9
 
5.9%
7 8
 
5.2%
3 8
 
5.2%
Other values (4) 13
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
78.4%
Other Punctuation 27
 
17.6%
Space Separator 4
 
2.6%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
16.7%
2 18
15.0%
0 17
14.2%
6 14
11.7%
8 10
8.3%
9 9
7.5%
1 9
7.5%
7 8
 
6.7%
3 8
 
6.7%
4 7
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 152
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 27
17.8%
5 20
13.2%
2 18
11.8%
0 17
11.2%
6 14
9.2%
8 10
 
6.6%
9 9
 
5.9%
1 9
 
5.9%
7 8
 
5.3%
3 8
 
5.3%
Other values (3) 12
7.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 152
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 27
17.8%
5 20
13.2%
2 18
11.8%
0 17
11.2%
6 14
9.2%
8 10
 
6.6%
9 9
 
5.9%
1 9
 
5.9%
7 8
 
5.3%
3 8
 
5.3%
Other values (3) 12
7.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 24
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:32.196465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length7.3
Min length2

Characters and Unicode

Total characters146
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row3월
2nd row155,565
3rd row996,815
4th row445,150
5th row324,750
ValueCountFrequency (%)
3월 1
 
5.0%
155,565 1
 
5.0%
11,170,070 1
 
5.0%
1
 
5.0%
147,455 1
 
5.0%
154,100 1
 
5.0%
520,320 1
 
5.0%
1,482,345 1
 
5.0%
3,145,320 1
 
5.0%
478,980 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:32.512385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 23
15.8%
, 23
15.8%
0 20
13.7%
1 15
10.3%
3 12
8.2%
4 12
8.2%
7 9
 
6.2%
6 8
 
5.5%
2 7
 
4.8%
8 6
 
4.1%
Other values (4) 11
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 117
80.1%
Other Punctuation 23
 
15.8%
Space Separator 4
 
2.7%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 23
19.7%
0 20
17.1%
1 15
12.8%
3 12
10.3%
4 12
10.3%
7 9
 
7.7%
6 8
 
6.8%
2 7
 
6.0%
8 6
 
5.1%
9 5
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 145
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
5 23
15.9%
, 23
15.9%
0 20
13.8%
1 15
10.3%
3 12
8.3%
4 12
8.3%
7 9
 
6.2%
6 8
 
5.5%
2 7
 
4.8%
8 6
 
4.1%
Other values (3) 10
6.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 23
15.9%
, 23
15.9%
0 20
13.8%
1 15
10.3%
3 12
8.3%
4 12
8.3%
7 9
 
6.2%
6 8
 
5.5%
2 7
 
4.8%
8 6
 
4.1%
Other values (3) 10
6.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 25
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:32.669282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length7.1
Min length2

Characters and Unicode

Total characters142
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row4월
2nd row117,790
3rd row941,605
4th row343,445
5th row217,455
ValueCountFrequency (%)
4월 1
 
5.0%
117,790 1
 
5.0%
8,850,320 1
 
5.0%
1
 
5.0%
85,915 1
 
5.0%
105,165 1
 
5.0%
475,685 1
 
5.0%
1,425,075 1
 
5.0%
2,399,135 1
 
5.0%
280,535 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:32.936898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 24
16.9%
, 22
15.5%
1 15
10.6%
4 12
8.5%
0 12
8.5%
9 9
 
6.3%
3 9
 
6.3%
2 9
 
6.3%
7 8
 
5.6%
6 8
 
5.6%
Other values (4) 14
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114
80.3%
Other Punctuation 22
 
15.5%
Space Separator 4
 
2.8%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 24
21.1%
1 15
13.2%
4 12
10.5%
0 12
10.5%
9 9
 
7.9%
3 9
 
7.9%
2 9
 
7.9%
7 8
 
7.0%
6 8
 
7.0%
8 8
 
7.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 141
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
5 24
17.0%
, 22
15.6%
1 15
10.6%
4 12
8.5%
0 12
8.5%
9 9
 
6.4%
3 9
 
6.4%
2 9
 
6.4%
7 8
 
5.7%
6 8
 
5.7%
Other values (3) 13
9.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 24
17.0%
, 22
15.6%
1 15
10.6%
4 12
8.5%
0 12
8.5%
9 9
 
6.4%
3 9
 
6.4%
2 9
 
6.4%
7 8
 
5.7%
6 8
 
5.7%
Other values (3) 13
9.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 26
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:33.111480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length7.1
Min length2

Characters and Unicode

Total characters142
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row5월
2nd row169,280
3rd row852,010
4th row341,965
5th row217,520
ValueCountFrequency (%)
5월 1
 
5.0%
169,280 1
 
5.0%
8,221,310 1
 
5.0%
1
 
5.0%
88,155 1
 
5.0%
118,145 1
 
5.0%
530,900 1
 
5.0%
1,464,755 1
 
5.0%
1,661,555 1
 
5.0%
282,255 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:33.380506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 24
16.9%
, 22
15.5%
1 18
12.7%
8 13
9.2%
2 12
8.5%
0 12
8.5%
9 8
 
5.6%
3 8
 
5.6%
4 7
 
4.9%
6 6
 
4.2%
Other values (4) 12
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114
80.3%
Other Punctuation 22
 
15.5%
Space Separator 4
 
2.8%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 24
21.1%
1 18
15.8%
8 13
11.4%
2 12
10.5%
0 12
10.5%
9 8
 
7.0%
3 8
 
7.0%
4 7
 
6.1%
6 6
 
5.3%
7 6
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 141
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
5 24
17.0%
, 22
15.6%
1 18
12.8%
8 13
9.2%
2 12
8.5%
0 12
8.5%
9 8
 
5.7%
3 8
 
5.7%
4 7
 
5.0%
6 6
 
4.3%
Other values (3) 11
7.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 24
17.0%
, 22
15.6%
1 18
12.8%
8 13
9.2%
2 12
8.5%
0 12
8.5%
9 8
 
5.7%
3 8
 
5.7%
4 7
 
5.0%
6 6
 
4.3%
Other values (3) 11
7.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 27
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:33.532669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.95
Min length2

Characters and Unicode

Total characters139
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row6월
2nd row156,165
3rd row762,615
4th row350,065
5th row137,790
ValueCountFrequency (%)
6월 1
 
5.0%
156,165 1
 
5.0%
7,176,775 1
 
5.0%
1
 
5.0%
63,700 1
 
5.0%
74,860 1
 
5.0%
131,440 1
 
5.0%
1,390,550 1
 
5.0%
1,509,570 1
 
5.0%
350,355 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:33.792059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 22
15.8%
0 20
14.4%
5 18
12.9%
7 18
12.9%
6 11
7.9%
1 11
7.9%
3 9
6.5%
2 7
 
5.0%
9 6
 
4.3%
8 6
 
4.3%
Other values (4) 11
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111
79.9%
Other Punctuation 22
 
15.8%
Space Separator 4
 
2.9%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
18.0%
5 18
16.2%
7 18
16.2%
6 11
9.9%
1 11
9.9%
3 9
8.1%
2 7
 
6.3%
9 6
 
5.4%
8 6
 
5.4%
4 5
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 22
15.9%
0 20
14.5%
5 18
13.0%
7 18
13.0%
6 11
8.0%
1 11
8.0%
3 9
6.5%
2 7
 
5.1%
9 6
 
4.3%
8 6
 
4.3%
Other values (3) 10
7.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 22
15.9%
0 20
14.5%
5 18
13.0%
7 18
13.0%
6 11
8.0%
1 11
8.0%
3 9
6.5%
2 7
 
5.1%
9 6
 
4.3%
8 6
 
4.3%
Other values (3) 10
7.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 28
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:33.963041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length7
Min length2

Characters and Unicode

Total characters140
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row7월
2nd row143,755
3rd row886,635
4th row342,360
5th row158,545
ValueCountFrequency (%)
7월 1
 
5.0%
143,755 1
 
5.0%
8,830,110 1
 
5.0%
1
 
5.0%
76,100 1
 
5.0%
104,210 1
 
5.0%
146,140 1
 
5.0%
1,329,690 1
 
5.0%
3,125,270 1
 
5.0%
297,235 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:34.249821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 22
15.7%
5 16
11.4%
1 14
10.0%
0 14
10.0%
6 12
8.6%
2 12
8.6%
3 11
7.9%
8 11
7.9%
7 8
 
5.7%
4 7
 
5.0%
Other values (4) 13
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 112
80.0%
Other Punctuation 22
 
15.7%
Space Separator 4
 
2.9%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 16
14.3%
1 14
12.5%
0 14
12.5%
6 12
10.7%
2 12
10.7%
3 11
9.8%
8 11
9.8%
7 8
7.1%
4 7
6.2%
9 7
6.2%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 139
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 22
15.8%
5 16
11.5%
1 14
10.1%
0 14
10.1%
6 12
8.6%
2 12
8.6%
3 11
7.9%
8 11
7.9%
7 8
 
5.8%
4 7
 
5.0%
Other values (3) 12
8.6%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 139
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 22
15.8%
5 16
11.5%
1 14
10.1%
0 14
10.1%
6 12
8.6%
2 12
8.6%
3 11
7.9%
8 11
7.9%
7 8
 
5.8%
4 7
 
5.0%
Other values (3) 12
8.6%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 29
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:34.411083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length7.2
Min length2

Characters and Unicode

Total characters144
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row8월
2nd row143,780
3rd row844,355
4th row416,905
5th row148,365
ValueCountFrequency (%)
8월 1
 
5.0%
143,780 1
 
5.0%
8,011,475 1
 
5.0%
1
 
5.0%
78,915 1
 
5.0%
134,280 1
 
5.0%
211,345 1
 
5.0%
1,540,125 1
 
5.0%
1,572,480 1
 
5.0%
269,095 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:34.709058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 23
16.0%
1 22
15.3%
5 20
13.9%
0 14
9.7%
4 13
9.0%
8 11
7.6%
3 10
6.9%
9 7
 
4.9%
2 7
 
4.9%
7 6
 
4.2%
Other values (4) 11
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
79.9%
Other Punctuation 23
 
16.0%
Space Separator 4
 
2.8%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 22
19.1%
5 20
17.4%
0 14
12.2%
4 13
11.3%
8 11
9.6%
3 10
8.7%
9 7
 
6.1%
2 7
 
6.1%
7 6
 
5.2%
6 5
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 143
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 23
16.1%
1 22
15.4%
5 20
14.0%
0 14
9.8%
4 13
9.1%
8 11
7.7%
3 10
7.0%
9 7
 
4.9%
2 7
 
4.9%
7 6
 
4.2%
Other values (3) 10
7.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 143
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 23
16.1%
1 22
15.4%
5 20
14.0%
0 14
9.8%
4 13
9.1%
8 11
7.7%
3 10
7.0%
9 7
 
4.9%
2 7
 
4.9%
7 6
 
4.2%
Other values (3) 10
7.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 30
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:34.872317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length8.3
Min length2

Characters and Unicode

Total characters166
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row9월
2nd row985,300
3rd row7,880,820
4th row2,323,950
5th row2,112,845
ValueCountFrequency (%)
9월 1
 
5.0%
985,300 1
 
5.0%
46,383,630 1
 
5.0%
1
 
5.0%
921,310 1
 
5.0%
3,240,425 1
 
5.0%
461,770 1
 
5.0%
3,097,015 1
 
5.0%
2,015,990 1
 
5.0%
2,749,725 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:35.164371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 33
19.9%
0 18
10.8%
2 18
10.8%
5 16
9.6%
3 15
9.0%
9 13
 
7.8%
1 12
 
7.2%
4 10
 
6.0%
8 9
 
5.4%
7 9
 
5.4%
Other values (4) 13
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 127
76.5%
Other Punctuation 33
 
19.9%
Space Separator 4
 
2.4%
Other Letter 1
 
0.6%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
14.2%
2 18
14.2%
5 16
12.6%
3 15
11.8%
9 13
10.2%
1 12
9.4%
4 10
7.9%
8 9
7.1%
7 9
7.1%
6 7
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 165
99.4%
Hangul 1
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
, 33
20.0%
0 18
10.9%
2 18
10.9%
5 16
9.7%
3 15
9.1%
9 13
 
7.9%
1 12
 
7.3%
4 10
 
6.1%
8 9
 
5.5%
7 9
 
5.5%
Other values (3) 12
 
7.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 165
99.4%
Hangul 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 33
20.0%
0 18
10.9%
2 18
10.9%
5 16
9.7%
3 15
9.1%
9 13
 
7.9%
1 12
 
7.3%
4 10
 
6.1%
8 9
 
5.5%
7 9
 
5.5%
Other values (3) 12
 
7.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 31
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:35.339531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length8.1
Min length3

Characters and Unicode

Total characters162
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row10월
2nd row539,740
3rd row3,576,200
4th row1,162,445
5th row921,355
ValueCountFrequency (%)
10월 1
 
5.0%
539,740 1
 
5.0%
24,421,385 1
 
5.0%
1
 
5.0%
505,990 1
 
5.0%
1,228,655 1
 
5.0%
440,810 1
 
5.0%
2,063,000 1
 
5.0%
2,367,085 1
 
5.0%
1,266,625 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:35.581368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 30
18.5%
0 23
14.2%
5 23
14.2%
2 16
9.9%
1 12
 
7.4%
4 11
 
6.8%
3 10
 
6.2%
6 9
 
5.6%
9 8
 
4.9%
8 7
 
4.3%
Other values (4) 13
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125
77.2%
Other Punctuation 30
 
18.5%
Space Separator 5
 
3.1%
Other Letter 1
 
0.6%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
18.4%
5 23
18.4%
2 16
12.8%
1 12
9.6%
4 11
8.8%
3 10
8.0%
6 9
 
7.2%
9 8
 
6.4%
8 7
 
5.6%
7 6
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 161
99.4%
Hangul 1
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
, 30
18.6%
0 23
14.3%
5 23
14.3%
2 16
9.9%
1 12
 
7.5%
4 11
 
6.8%
3 10
 
6.2%
6 9
 
5.6%
9 8
 
5.0%
8 7
 
4.3%
Other values (3) 12
 
7.5%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 161
99.4%
Hangul 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 30
18.6%
0 23
14.3%
5 23
14.3%
2 16
9.9%
1 12
 
7.5%
4 11
 
6.8%
3 10
 
6.2%
6 9
 
5.6%
9 8
 
5.0%
8 7
 
4.3%
Other values (3) 12
 
7.5%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 32
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:35.747341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length7.6
Min length3

Characters and Unicode

Total characters152
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row11월
2nd row430,655
3rd row2,226,220
4th row861,620
5th row573,480
ValueCountFrequency (%)
11월 1
 
5.0%
430,655 1
 
5.0%
19,066,980 1
 
5.0%
1
 
5.0%
502,500 1
 
5.0%
669,880 1
 
5.0%
488,045 1
 
5.0%
2,027,650 1
 
5.0%
3,197,460 1
 
5.0%
805,860 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:36.020075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 25
16.4%
0 21
13.8%
6 15
9.9%
5 14
9.2%
4 13
8.6%
2 13
8.6%
3 11
7.2%
8 11
7.2%
7 10
 
6.6%
1 7
 
4.6%
Other values (4) 12
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
78.9%
Other Punctuation 25
 
16.4%
Space Separator 5
 
3.3%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
17.5%
6 15
12.5%
5 14
11.7%
4 13
10.8%
2 13
10.8%
3 11
9.2%
8 11
9.2%
7 10
8.3%
1 7
 
5.8%
9 5
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 151
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 25
16.6%
0 21
13.9%
6 15
9.9%
5 14
9.3%
4 13
8.6%
2 13
8.6%
3 11
7.3%
8 11
7.3%
7 10
 
6.6%
1 7
 
4.6%
Other values (3) 11
7.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 25
16.6%
0 21
13.9%
6 15
9.9%
5 14
9.3%
4 13
8.6%
2 13
8.6%
3 11
7.3%
8 11
7.3%
7 10
 
6.6%
1 7
 
4.6%
Other values (3) 11
7.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 33
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:36.173563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length7.6
Min length3

Characters and Unicode

Total characters152
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row12월
2nd row342,895
3rd row1,778,425
4th row804,880
5th row466,690
ValueCountFrequency (%)
12월 1
 
5.0%
342,895 1
 
5.0%
16,365,910 1
 
5.0%
1
 
5.0%
453,135 1
 
5.0%
491,140 1
 
5.0%
427,400 1
 
5.0%
1,974,135 1
 
5.0%
3,087,155 1
 
5.0%
832,180 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:36.457247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 25
16.4%
0 18
11.8%
1 17
11.2%
5 14
9.2%
3 13
8.6%
4 12
7.9%
8 11
7.2%
2 10
 
6.6%
9 10
 
6.6%
7 8
 
5.3%
Other values (4) 14
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
78.9%
Other Punctuation 25
 
16.4%
Space Separator 5
 
3.3%
Other Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
15.0%
1 17
14.2%
5 14
11.7%
3 13
10.8%
4 12
10.0%
8 11
9.2%
2 10
8.3%
9 10
8.3%
7 8
6.7%
6 7
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 151
99.3%
Hangul 1
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 25
16.6%
0 18
11.9%
1 17
11.3%
5 14
9.3%
3 13
8.6%
4 12
7.9%
8 11
7.3%
2 10
 
6.6%
9 10
 
6.6%
7 8
 
5.3%
Other values (3) 13
8.6%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151
99.3%
Hangul 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 25
16.6%
0 18
11.9%
1 17
11.3%
5 14
9.3%
3 13
8.6%
4 12
7.9%
8 11
7.3%
2 10
 
6.6%
9 10
 
6.6%
7 8
 
5.3%
Other values (3) 13
8.6%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 34
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:36.600477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.2272727
Min length1

Characters and Unicode

Total characters181
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row소계
2nd row3,586,585
3rd row22,672,215
4th row8,613,570
5th row6,197,050
ValueCountFrequency (%)
0 2
 
9.1%
9,109,975 1
 
4.5%
소계 1
 
4.5%
180,985,130 1
 
4.5%
1
 
4.5%
3,326,875 1
 
4.5%
6,770,755 1
 
4.5%
4,100,160 1
 
4.5%
20,443,775 1
 
4.5%
28,244,705 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:36.890643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 36
19.9%
0 21
11.6%
5 19
10.5%
1 19
10.5%
2 17
9.4%
7 15
8.3%
3 12
 
6.6%
8 10
 
5.5%
6 10
 
5.5%
9 8
 
4.4%
Other values (5) 14
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
76.2%
Other Punctuation 36
 
19.9%
Space Separator 4
 
2.2%
Other Letter 2
 
1.1%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
15.2%
5 19
13.8%
1 19
13.8%
2 17
12.3%
7 15
10.9%
3 12
8.7%
8 10
7.2%
6 10
7.2%
9 8
 
5.8%
4 7
 
5.1%
Other Letter
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 179
98.9%
Hangul 2
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
, 36
20.1%
0 21
11.7%
5 19
10.6%
1 19
10.6%
2 17
9.5%
7 15
8.4%
3 12
 
6.7%
8 10
 
5.6%
6 10
 
5.6%
9 8
 
4.5%
Other values (3) 12
 
6.7%
Hangul
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 179
98.9%
Hangul 2
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 36
20.1%
0 21
11.7%
5 19
10.6%
1 19
10.6%
2 17
9.5%
7 15
8.4%
3 12
 
6.7%
8 10
 
5.6%
6 10
 
5.6%
9 8
 
4.5%
Other values (3) 12
 
6.7%
Hangul
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%

Unnamed: 35
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:38:37.036212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.4347826
Min length2

Characters and Unicode

Total characters217
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row2012년
2nd row1월
3rd row 801,025
4th row 4,271,815
5th row 1,547,365
ValueCountFrequency (%)
2
 
8.7%
2012년 1
 
4.3%
2,056,725 1
 
4.3%
36,492,994 1
 
4.3%
227,324 1
 
4.3%
1,178,415 1
 
4.3%
1,132,070 1
 
4.3%
611,975 1
 
4.3%
3,133,395 1
 
4.3%
4,966,475 1
 
4.3%
Other values (12) 12
52.2%
2024-03-14T09:38:37.290175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
18.4%
, 35
16.1%
5 22
10.1%
2 21
9.7%
1 19
8.8%
0 14
 
6.5%
3 12
 
5.5%
8 11
 
5.1%
4 11
 
5.1%
9 11
 
5.1%
Other values (5) 21
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
63.6%
Space Separator 40
 
18.4%
Other Punctuation 35
 
16.1%
Dash Punctuation 2
 
0.9%
Other Letter 2
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 22
15.9%
2 21
15.2%
1 19
13.8%
0 14
10.1%
3 12
8.7%
8 11
8.0%
4 11
8.0%
9 11
8.0%
7 9
6.5%
6 8
 
5.8%
Other Letter
ValueCountFrequency (%)
년 1
50.0%
월 1
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 215
99.1%
Hangul 2
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
40
18.6%
, 35
16.3%
5 22
10.2%
2 21
9.8%
1 19
8.8%
0 14
 
6.5%
3 12
 
5.6%
8 11
 
5.1%
4 11
 
5.1%
9 11
 
5.1%
Other values (3) 19
8.8%
Hangul
ValueCountFrequency (%)
년 1
50.0%
월 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
99.1%
Hangul 2
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
18.6%
, 35
16.3%
5 22
10.2%
2 21
9.8%
1 19
8.8%
0 14
 
6.5%
3 12
 
5.6%
8 11
 
5.1%
4 11
 
5.1%
9 11
 
5.1%
Other values (3) 19
8.8%
Hangul
ValueCountFrequency (%)
년 1
50.0%
월 1
50.0%

Unnamed: 36
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:37.449191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length9.2272727
Min length2

Characters and Unicode

Total characters203
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row2월
2nd row 598,355
3rd row 2,995,020
4th row 1,198,135
5th row 1,398,070
ValueCountFrequency (%)
2
 
9.1%
1,430,245 1
 
4.5%
2월 1
 
4.5%
26,775,487 1
 
4.5%
89,527 1
 
4.5%
766,800 1
 
4.5%
768,390 1
 
4.5%
985,360 1
 
4.5%
2,483,735 1
 
4.5%
3,700,615 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:37.686601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
19.7%
, 31
15.3%
1 17
8.4%
0 16
 
7.9%
5 15
 
7.4%
3 15
 
7.4%
9 14
 
6.9%
8 14
 
6.9%
7 13
 
6.4%
2 9
 
4.4%
Other values (4) 19
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 129
63.5%
Space Separator 40
 
19.7%
Other Punctuation 31
 
15.3%
Dash Punctuation 2
 
1.0%
Other Letter 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 17
13.2%
0 16
12.4%
5 15
11.6%
3 15
11.6%
9 14
10.9%
8 14
10.9%
7 13
10.1%
2 9
7.0%
4 8
6.2%
6 8
6.2%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 202
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
40
19.8%
, 31
15.3%
1 17
8.4%
0 16
 
7.9%
5 15
 
7.4%
3 15
 
7.4%
9 14
 
6.9%
8 14
 
6.9%
7 13
 
6.4%
2 9
 
4.5%
Other values (3) 18
8.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 202
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
19.8%
, 31
15.3%
1 17
8.4%
0 16
 
7.9%
5 15
 
7.4%
3 15
 
7.4%
9 14
 
6.9%
8 14
 
6.9%
7 13
 
6.4%
2 9
 
4.5%
Other values (3) 18
8.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 37
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:37.835861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length8.7727273
Min length2

Characters and Unicode

Total characters193
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row3월
2nd row 468,310
3rd row 2,034,480
4th row 826,335
5th row 742,055
ValueCountFrequency (%)
2
 
9.1%
965,125 1
 
4.5%
3월 1
 
4.5%
20,537,882 1
 
4.5%
62,717 1
 
4.5%
470,365 1
 
4.5%
458,460 1
 
4.5%
649,730 1
 
4.5%
2,657,625 1
 
4.5%
3,887,835 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:38.074709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
20.7%
, 26
13.5%
5 18
9.3%
3 17
8.8%
0 14
 
7.3%
4 13
 
6.7%
2 13
 
6.7%
7 13
 
6.7%
6 11
 
5.7%
8 10
 
5.2%
Other values (4) 18
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
64.2%
Space Separator 40
 
20.7%
Other Punctuation 26
 
13.5%
Dash Punctuation 2
 
1.0%
Other Letter 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 18
14.5%
3 17
13.7%
0 14
11.3%
4 13
10.5%
2 13
10.5%
7 13
10.5%
6 11
8.9%
8 10
8.1%
9 10
8.1%
1 5
 
4.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
40
20.8%
, 26
13.5%
5 18
9.4%
3 17
8.9%
0 14
 
7.3%
4 13
 
6.8%
2 13
 
6.8%
7 13
 
6.8%
6 11
 
5.7%
8 10
 
5.2%
Other values (3) 17
8.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
20.8%
, 26
13.5%
5 18
9.4%
3 17
8.9%
0 14
 
7.3%
4 13
 
6.8%
2 13
 
6.8%
7 13
 
6.8%
6 11
 
5.7%
8 10
 
5.2%
Other values (3) 17
8.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 38
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:38.216250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length8.7727273
Min length2

Characters and Unicode

Total characters193
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row4월
2nd row 397,795
3rd row 1,508,595
4th row 800,300
5th row 985,590
ValueCountFrequency (%)
2
 
9.1%
709,925 1
 
4.5%
4월 1
 
4.5%
19,524,669 1
 
4.5%
37,699 1
 
4.5%
366,185 1
 
4.5%
684,125 1
 
4.5%
639,890 1
 
4.5%
2,852,100 1
 
4.5%
3,734,640 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:38.447083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
20.7%
, 26
13.5%
5 21
10.9%
9 17
8.8%
0 16
 
8.3%
4 15
 
7.8%
3 12
 
6.2%
6 11
 
5.7%
8 9
 
4.7%
2 9
 
4.7%
Other values (4) 17
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
64.2%
Space Separator 40
 
20.7%
Other Punctuation 26
 
13.5%
Dash Punctuation 2
 
1.0%
Other Letter 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 21
16.9%
9 17
13.7%
0 16
12.9%
4 15
12.1%
3 12
9.7%
6 11
8.9%
8 9
7.3%
2 9
7.3%
7 8
 
6.5%
1 6
 
4.8%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
40
20.8%
, 26
13.5%
5 21
10.9%
9 17
8.9%
0 16
 
8.3%
4 15
 
7.8%
3 12
 
6.2%
6 11
 
5.7%
8 9
 
4.7%
2 9
 
4.7%
Other values (3) 16
 
8.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
20.8%
, 26
13.5%
5 21
10.9%
9 17
8.9%
0 16
 
8.3%
4 15
 
7.8%
3 12
 
6.2%
6 11
 
5.7%
8 9
 
4.7%
2 9
 
4.7%
Other values (3) 16
 
8.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 39
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:38.609828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.0454545
Min length2

Characters and Unicode

Total characters199
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row5월
2nd row 499,555
3rd row 1,886,655
4th row 1,305,400
5th row 1,548,110
ValueCountFrequency (%)
2
 
9.1%
746,030 1
 
4.5%
5월 1
 
4.5%
24,256,716 1
 
4.5%
30,156 1
 
4.5%
490,260 1
 
4.5%
657,085 1
 
4.5%
806,430 1
 
4.5%
3,421,870 1
 
4.5%
4,225,105 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:38.866333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
20.1%
, 29
14.6%
0 24
12.1%
5 20
10.1%
1 14
 
7.0%
4 12
 
6.0%
6 12
 
6.0%
2 11
 
5.5%
8 10
 
5.0%
3 9
 
4.5%
Other values (4) 18
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 127
63.8%
Space Separator 40
 
20.1%
Other Punctuation 29
 
14.6%
Dash Punctuation 2
 
1.0%
Other Letter 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
18.9%
5 20
15.7%
1 14
11.0%
4 12
9.4%
6 12
9.4%
2 11
8.7%
8 10
7.9%
3 9
 
7.1%
7 9
 
7.1%
9 6
 
4.7%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 198
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
40
20.2%
, 29
14.6%
0 24
12.1%
5 20
10.1%
1 14
 
7.1%
4 12
 
6.1%
6 12
 
6.1%
2 11
 
5.6%
8 10
 
5.1%
3 9
 
4.5%
Other values (3) 17
8.6%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 198
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
20.2%
, 29
14.6%
0 24
12.1%
5 20
10.1%
1 14
 
7.1%
4 12
 
6.1%
6 12
 
6.1%
2 11
 
5.6%
8 10
 
5.1%
3 9
 
4.5%
Other values (3) 17
8.6%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 40
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:39.036395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.0454545
Min length2

Characters and Unicode

Total characters199
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row6월
2nd row 451,060
3rd row 1,601,985
4th row 1,030,360
5th row 1,297,890
ValueCountFrequency (%)
2
 
9.1%
656,875 1
 
4.5%
6월 1
 
4.5%
20,598,378 1
 
4.5%
23,073 1
 
4.5%
368,930 1
 
4.5%
445,130 1
 
4.5%
820,045 1
 
4.5%
2,624,355 1
 
4.5%
3,662,595 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:39.300491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
20.1%
, 29
14.6%
3 22
11.1%
0 20
10.1%
5 15
 
7.5%
6 15
 
7.5%
1 12
 
6.0%
9 10
 
5.0%
8 10
 
5.0%
2 9
 
4.5%
Other values (4) 17
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 127
63.8%
Space Separator 40
 
20.1%
Other Punctuation 29
 
14.6%
Dash Punctuation 2
 
1.0%
Other Letter 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 22
17.3%
0 20
15.7%
5 15
11.8%
6 15
11.8%
1 12
9.4%
9 10
7.9%
8 10
7.9%
2 9
7.1%
4 8
 
6.3%
7 6
 
4.7%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 198
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
40
20.2%
, 29
14.6%
3 22
11.1%
0 20
10.1%
5 15
 
7.6%
6 15
 
7.6%
1 12
 
6.1%
9 10
 
5.1%
8 10
 
5.1%
2 9
 
4.5%
Other values (3) 16
 
8.1%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 198
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
20.2%
, 29
14.6%
3 22
11.1%
0 20
10.1%
5 15
 
7.6%
6 15
 
7.6%
1 12
 
6.1%
9 10
 
5.1%
8 10
 
5.1%
2 9
 
4.5%
Other values (3) 16
 
8.1%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 41
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:39.451886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.8636364
Min length2

Characters and Unicode

Total characters195
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row7월
2nd row 377,130
3rd row 1,354,195
4th row 820,785
5th row 515,200
ValueCountFrequency (%)
2
 
9.1%
665,225 1
 
4.5%
7월 1
 
4.5%
16,410,617 1
 
4.5%
20,302 1
 
4.5%
292,980 1
 
4.5%
287,035 1
 
4.5%
378,075 1
 
4.5%
2,101,425 1
 
4.5%
3,280,880 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:39.697051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
20.5%
, 27
13.8%
5 19
9.7%
0 17
8.7%
7 16
 
8.2%
2 15
 
7.7%
3 14
 
7.2%
1 14
 
7.2%
4 8
 
4.1%
8 8
 
4.1%
Other values (4) 17
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125
64.1%
Space Separator 40
 
20.5%
Other Punctuation 27
 
13.8%
Dash Punctuation 2
 
1.0%
Other Letter 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 19
15.2%
0 17
13.6%
7 16
12.8%
2 15
12.0%
3 14
11.2%
1 14
11.2%
4 8
6.4%
8 8
6.4%
6 8
6.4%
9 6
 
4.8%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
40
20.6%
, 27
13.9%
5 19
9.8%
0 17
8.8%
7 16
 
8.2%
2 15
 
7.7%
3 14
 
7.2%
1 14
 
7.2%
4 8
 
4.1%
8 8
 
4.1%
Other values (3) 16
 
8.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
20.6%
, 27
13.9%
5 19
9.8%
0 17
8.8%
7 16
 
8.2%
2 15
 
7.7%
3 14
 
7.2%
1 14
 
7.2%
4 8
 
4.1%
8 8
 
4.1%
Other values (3) 16
 
8.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 42
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:39.862729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length9
Min length5

Characters and Unicode

Total characters198
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row8월(합계)
2nd row 320,485
3rd row 1,113,615
4th row 668,035
5th row 511,820
ValueCountFrequency (%)
8월(합계 1
 
4.5%
320,485 1
 
4.5%
11,426,522 1
 
4.5%
15,061 1
 
4.5%
27,041 1
 
4.5%
12,810 1
 
4.5%
258,385 1
 
4.5%
228,615 1
 
4.5%
123,715 1
 
4.5%
1,062,640 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:40.164113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
19.7%
, 25
12.6%
5 24
12.1%
1 21
10.6%
2 16
8.1%
6 14
 
7.1%
8 13
 
6.6%
0 13
 
6.6%
3 9
 
4.5%
7 6
 
3.0%
Other values (12) 18
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
62.6%
Space Separator 39
 
19.7%
Other Punctuation 27
 
13.6%
Other Letter 3
 
1.5%
Uppercase Letter 3
 
1.5%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 24
19.4%
1 21
16.9%
2 16
12.9%
6 14
11.3%
8 13
10.5%
0 13
10.5%
3 9
 
7.3%
7 6
 
4.8%
4 5
 
4.0%
9 3
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 25
92.6%
# 1
 
3.7%
! 1
 
3.7%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
97.0%
Hangul 3
 
1.5%
Latin 3
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
39
20.3%
, 25
13.0%
5 24
12.5%
1 21
10.9%
2 16
8.3%
6 14
 
7.3%
8 13
 
6.8%
0 13
 
6.8%
3 9
 
4.7%
7 6
 
3.1%
Other values (6) 12
 
6.2%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 195
98.5%
Hangul 3
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
20.0%
, 25
12.8%
5 24
12.3%
1 21
10.8%
2 16
8.2%
6 14
 
7.2%
8 13
 
6.7%
0 13
 
6.7%
3 9
 
4.6%
7 6
 
3.1%
Other values (9) 15
 
7.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%

Unnamed: 43
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:40.326902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length9.9090909
Min length5

Characters and Unicode

Total characters218
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row9월(합계)
2nd row 748,000
3rd row 9,103,345
4th row 4,453,125
5th row 2,118,460
ValueCountFrequency (%)
9월(합계 1
 
4.5%
748,000 1
 
4.5%
50,347,970 1
 
4.5%
73,465 1
 
4.5%
734,985 1
 
4.5%
118,495 1
 
4.5%
841,565 1
 
4.5%
4,236,420 1
 
4.5%
196,000 1
 
4.5%
2,381,855 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:40.613630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
17.9%
, 34
15.6%
0 20
9.2%
5 19
8.7%
4 18
8.3%
1 16
7.3%
8 13
 
6.0%
3 11
 
5.0%
2 10
 
4.6%
9 10
 
4.6%
Other values (12) 28
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 135
61.9%
Space Separator 39
 
17.9%
Other Punctuation 36
 
16.5%
Other Letter 3
 
1.4%
Uppercase Letter 3
 
1.4%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
14.8%
5 19
14.1%
4 18
13.3%
1 16
11.9%
8 13
9.6%
3 11
8.1%
2 10
7.4%
9 10
7.4%
7 9
6.7%
6 9
6.7%
Other Punctuation
ValueCountFrequency (%)
, 34
94.4%
# 1
 
2.8%
! 1
 
2.8%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 212
97.2%
Hangul 3
 
1.4%
Latin 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
39
18.4%
, 34
16.0%
0 20
9.4%
5 19
9.0%
4 18
8.5%
1 16
7.5%
8 13
 
6.1%
3 11
 
5.2%
2 10
 
4.7%
9 10
 
4.7%
Other values (6) 22
10.4%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
18.1%
, 34
15.8%
0 20
9.3%
5 19
8.8%
4 18
8.4%
1 16
7.4%
8 13
 
6.0%
3 11
 
5.1%
2 10
 
4.7%
9 10
 
4.7%
Other values (9) 25
11.6%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%

Unnamed: 44
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:40.795664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.454545
Min length5

Characters and Unicode

Total characters230
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row10월(합계)
2nd row 2,256,670
3rd row 17,336,295
4th row 7,161,445
5th row 5,077,560
ValueCountFrequency (%)
10월(합계 1
 
4.5%
2,256,670 1
 
4.5%
99,210,540 1
 
4.5%
148,238 1
 
4.5%
1,131,987 1
 
4.5%
1,909,750 1
 
4.5%
2,384,375 1
 
4.5%
4,907,320 1
 
4.5%
713,055 1
 
4.5%
4,519,990 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:41.117791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
17.0%
, 38
16.5%
9 20
8.7%
5 17
7.4%
4 17
7.4%
7 17
7.4%
0 17
7.4%
1 16
7.0%
3 14
 
6.1%
2 11
 
4.8%
Other values (12) 24
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 143
62.2%
Other Punctuation 40
 
17.4%
Space Separator 39
 
17.0%
Other Letter 3
 
1.3%
Uppercase Letter 3
 
1.3%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 20
14.0%
5 17
11.9%
4 17
11.9%
7 17
11.9%
0 17
11.9%
1 16
11.2%
3 14
9.8%
2 11
7.7%
6 8
 
5.6%
8 6
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 38
95.0%
# 1
 
2.5%
! 1
 
2.5%
Other Letter
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 224
97.4%
Hangul 3
 
1.3%
Latin 3
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
39
17.4%
, 38
17.0%
9 20
8.9%
5 17
7.6%
4 17
7.6%
7 17
7.6%
0 17
7.6%
1 16
7.1%
3 14
 
6.2%
2 11
 
4.9%
Other values (6) 18
8.0%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 227
98.7%
Hangul 3
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
17.2%
, 38
16.7%
9 20
8.8%
5 17
7.5%
4 17
7.5%
7 17
7.5%
0 17
7.5%
1 16
7.0%
3 14
 
6.2%
2 11
 
4.8%
Other values (9) 21
9.3%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%

Unnamed: 45
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:41.298882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length9.7727273
Min length5

Characters and Unicode

Total characters215
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row11월(합계)
2nd row 949,595
3rd row 6,125,990
4th row 2,290,430
5th row 1,612,150
ValueCountFrequency (%)
11월(합계 1
 
4.5%
949,595 1
 
4.5%
37,493,118 1
 
4.5%
126,627 1
 
4.5%
703,866 1
 
4.5%
73,525 1
 
4.5%
892,510 1
 
4.5%
2,209,700 1
 
4.5%
319,180 1
 
4.5%
2,725,625 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:41.584357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
18.1%
, 32
14.9%
5 21
9.8%
2 20
9.3%
1 19
8.8%
0 15
 
7.0%
9 14
 
6.5%
8 11
 
5.1%
7 11
 
5.1%
6 11
 
5.1%
Other values (12) 22
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 134
62.3%
Space Separator 39
 
18.1%
Other Punctuation 34
 
15.8%
Other Letter 3
 
1.4%
Uppercase Letter 3
 
1.4%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 21
15.7%
2 20
14.9%
1 19
14.2%
0 15
11.2%
9 14
10.4%
8 11
8.2%
7 11
8.2%
6 11
8.2%
3 9
6.7%
4 3
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 32
94.1%
# 1
 
2.9%
! 1
 
2.9%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
97.2%
Hangul 3
 
1.4%
Latin 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
39
18.7%
, 32
15.3%
5 21
10.0%
2 20
9.6%
1 19
9.1%
0 15
 
7.2%
9 14
 
6.7%
8 11
 
5.3%
7 11
 
5.3%
6 11
 
5.3%
Other values (6) 16
7.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 212
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
18.4%
, 32
15.1%
5 21
9.9%
2 20
9.4%
1 19
9.0%
0 15
 
7.1%
9 14
 
6.6%
8 11
 
5.2%
7 11
 
5.2%
6 11
 
5.2%
Other values (9) 19
9.0%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%

Unnamed: 46
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:42.014504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length9.4545455
Min length5

Characters and Unicode

Total characters208
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row12월(합계)
2nd row 642,705
3rd row 3,660,650
4th row 1,334,580
5th row 1,025,440
ValueCountFrequency (%)
12월(합계 1
 
4.5%
642,705 1
 
4.5%
23,132,738 1
 
4.5%
41,622 1
 
4.5%
435,606 1
 
4.5%
48,185 1
 
4.5%
469,675 1
 
4.5%
1,168,535 1
 
4.5%
210,780 1
 
4.5%
2,073,170 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:42.294938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
18.8%
, 29
13.9%
0 19
9.1%
1 16
7.7%
6 16
7.7%
5 15
 
7.2%
3 13
 
6.2%
2 12
 
5.8%
7 11
 
5.3%
4 10
 
4.8%
Other values (12) 28
13.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130
62.5%
Space Separator 39
 
18.8%
Other Punctuation 31
 
14.9%
Other Letter 3
 
1.4%
Uppercase Letter 3
 
1.4%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
14.6%
1 16
12.3%
6 16
12.3%
5 15
11.5%
3 13
10.0%
2 12
9.2%
7 11
8.5%
4 10
7.7%
8 9
6.9%
9 9
6.9%
Other Punctuation
ValueCountFrequency (%)
, 29
93.5%
# 1
 
3.2%
! 1
 
3.2%
Other Letter
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 202
97.1%
Hangul 3
 
1.4%
Latin 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
39
19.3%
, 29
14.4%
0 19
9.4%
1 16
7.9%
6 16
7.9%
5 15
 
7.4%
3 13
 
6.4%
2 12
 
5.9%
7 11
 
5.4%
4 10
 
5.0%
Other values (6) 22
10.9%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 205
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
19.0%
, 29
14.1%
0 19
9.3%
1 16
7.8%
6 16
7.8%
5 15
 
7.3%
3 13
 
6.3%
2 12
 
5.9%
7 11
 
5.4%
4 10
 
4.9%
Other values (9) 25
12.2%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%

Unnamed: 47
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:42.458109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.5
Min length2

Characters and Unicode

Total characters209
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row소계
2nd row8,510,685
3rd row52,992,640
4th row23,436,295
5th row19,428,185
ValueCountFrequency (%)
소계 1
 
4.5%
8,510,685 1
 
4.5%
386,207,631 1
 
4.5%
405,013 1
 
4.5%
3,524,283 1
 
4.5%
2,162,765 1
 
4.5%
8,780,445 1
 
4.5%
17,182,885 1
 
4.5%
6,454,235 1
 
4.5%
32,037,785 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:42.742296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 41
19.6%
2 20
9.6%
3 20
9.6%
5 19
9.1%
6 19
9.1%
0 18
8.6%
1 16
 
7.7%
4 15
 
7.2%
8 14
 
6.7%
9 11
 
5.3%
Other values (4) 16
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 162
77.5%
Other Punctuation 41
 
19.6%
Space Separator 4
 
1.9%
Other Letter 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20
12.3%
3 20
12.3%
5 19
11.7%
6 19
11.7%
0 18
11.1%
1 16
9.9%
4 15
9.3%
8 14
8.6%
9 11
6.8%
7 10
6.2%
Other Letter
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 207
99.0%
Hangul 2
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 41
19.8%
2 20
9.7%
3 20
9.7%
5 19
9.2%
6 19
9.2%
0 18
8.7%
1 16
 
7.7%
4 15
 
7.2%
8 14
 
6.8%
9 11
 
5.3%
Other values (2) 14
 
6.8%
Hangul
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 207
99.0%
Hangul 2
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 41
19.8%
2 20
9.7%
3 20
9.7%
5 19
9.2%
6 19
9.2%
0 18
8.7%
1 16
 
7.7%
4 15
 
7.2%
8 14
 
6.8%
9 11
 
5.3%
Other values (2) 14
 
6.8%
Hangul
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%

Unnamed: 48
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:38:42.932733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.0434783
Min length5

Characters and Unicode

Total characters185
Distinct characters18
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row2013년
2nd row1월(합계)
3rd row618,210
4th row3,013,090
5th row1,162,235
ValueCountFrequency (%)
2013년 1
 
4.3%
1,049,355 1
 
4.3%
23,452,044 1
 
4.3%
11,520 1
 
4.3%
304,968 1
 
4.3%
43,605 1
 
4.3%
464,245 1
 
4.3%
1,005,440 1
 
4.3%
246,615 1
 
4.3%
1,798,455 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T09:38:43.224570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 33
17.8%
1 21
11.4%
5 21
11.4%
0 20
10.8%
4 17
9.2%
2 16
8.6%
8 14
7.6%
6 13
 
7.0%
3 11
 
5.9%
9 6
 
3.2%
Other values (8) 13
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 144
77.8%
Other Punctuation 33
 
17.8%
Other Letter 4
 
2.2%
Space Separator 2
 
1.1%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
14.6%
5 21
14.6%
0 20
13.9%
4 17
11.8%
2 16
11.1%
8 14
9.7%
6 13
9.0%
3 11
7.6%
9 6
 
4.2%
7 5
 
3.5%
Other Letter
ValueCountFrequency (%)
계 1
25.0%
합 1
25.0%
월 1
25.0%
년 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 181
97.8%
Hangul 4
 
2.2%

Most frequent character per script

Common
ValueCountFrequency (%)
, 33
18.2%
1 21
11.6%
5 21
11.6%
0 20
11.0%
4 17
9.4%
2 16
8.8%
8 14
7.7%
6 13
 
7.2%
3 11
 
6.1%
9 6
 
3.3%
Other values (4) 9
 
5.0%
Hangul
ValueCountFrequency (%)
계 1
25.0%
합 1
25.0%
월 1
25.0%
년 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 181
97.8%
Hangul 4
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 33
18.2%
1 21
11.6%
5 21
11.6%
0 20
11.0%
4 17
9.4%
2 16
8.8%
8 14
7.7%
6 13
 
7.2%
3 11
 
6.1%
9 6
 
3.3%
Other values (4) 9
 
5.0%
Hangul
ValueCountFrequency (%)
계 1
25.0%
합 1
25.0%
월 1
25.0%
년 1
25.0%

Unnamed: 49
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:43.431006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8.2272727
Min length5

Characters and Unicode

Total characters181
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row2월(합계)
2nd row1,202,195
3rd row5,314,030
4th row1,844,060
5th row2,196,025
ValueCountFrequency (%)
2월(합계 1
 
4.5%
1,202,195 1
 
4.5%
38,217,902 1
 
4.5%
28,543 1
 
4.5%
346,714 1
 
4.5%
87,565 1
 
4.5%
814,165 1
 
4.5%
1,545,535 1
 
4.5%
309,470 1
 
4.5%
2,359,555 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:43.723093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 35
19.3%
1 21
11.6%
5 21
11.6%
4 16
8.8%
0 16
8.8%
3 15
8.3%
2 13
 
7.2%
6 10
 
5.5%
9 9
 
5.0%
8 7
 
3.9%
Other values (12) 18
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 135
74.6%
Other Punctuation 37
 
20.4%
Other Letter 3
 
1.7%
Uppercase Letter 3
 
1.7%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
15.6%
5 21
15.6%
4 16
11.9%
0 16
11.9%
3 15
11.1%
2 13
9.6%
6 10
7.4%
9 9
6.7%
8 7
 
5.2%
7 7
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 35
94.6%
# 1
 
2.7%
! 1
 
2.7%
Other Letter
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 175
96.7%
Hangul 3
 
1.7%
Latin 3
 
1.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 35
20.0%
1 21
12.0%
5 21
12.0%
4 16
9.1%
0 16
9.1%
3 15
8.6%
2 13
 
7.4%
6 10
 
5.7%
9 9
 
5.1%
8 7
 
4.0%
Other values (6) 12
 
6.9%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 178
98.3%
Hangul 3
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 35
19.7%
1 21
11.8%
5 21
11.8%
4 16
9.0%
0 16
9.0%
3 15
8.4%
2 13
 
7.3%
6 10
 
5.6%
9 9
 
5.1%
8 7
 
3.9%
Other values (9) 15
8.4%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%

Unnamed: 50
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:43.877515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.6818182
Min length5

Characters and Unicode

Total characters169
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row3월(합계)
2nd row753,205
3rd row2,924,980
4th row959,605
5th row943,180
ValueCountFrequency (%)
3월(합계 1
 
4.5%
753,205 1
 
4.5%
20,980,507 1
 
4.5%
34,862 1
 
4.5%
125,150 1
 
4.5%
59,490 1
 
4.5%
484,640 1
 
4.5%
1,000,220 1
 
4.5%
231,755 1
 
4.5%
1,616,015 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:44.148730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 29
17.2%
0 28
16.6%
1 18
10.7%
5 17
10.1%
9 14
8.3%
2 11
 
6.5%
4 11
 
6.5%
8 9
 
5.3%
6 7
 
4.1%
3 7
 
4.1%
Other values (12) 18
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 129
76.3%
Other Punctuation 31
 
18.3%
Other Letter 3
 
1.8%
Uppercase Letter 3
 
1.8%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
21.7%
1 18
14.0%
5 17
13.2%
9 14
10.9%
2 11
 
8.5%
4 11
 
8.5%
8 9
 
7.0%
6 7
 
5.4%
3 7
 
5.4%
7 7
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 29
93.5%
# 1
 
3.2%
! 1
 
3.2%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 163
96.4%
Hangul 3
 
1.8%
Latin 3
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
, 29
17.8%
0 28
17.2%
1 18
11.0%
5 17
10.4%
9 14
8.6%
2 11
 
6.7%
4 11
 
6.7%
8 9
 
5.5%
6 7
 
4.3%
3 7
 
4.3%
Other values (6) 12
7.4%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 166
98.2%
Hangul 3
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 29
17.5%
0 28
16.9%
1 18
10.8%
5 17
10.2%
9 14
8.4%
2 11
 
6.6%
4 11
 
6.6%
8 9
 
5.4%
6 7
 
4.2%
3 7
 
4.2%
Other values (9) 15
9.0%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%

Unnamed: 51
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:44.325259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length7.0454545
Min length1

Characters and Unicode

Total characters155
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row4월(합계)
2nd row618,245
3rd row2,083,955
4th row850,595
5th row762,225
ValueCountFrequency (%)
4월(합계 1
 
4.5%
618,245 1
 
4.5%
16,401,226 1
 
4.5%
0 1
 
4.5%
99,596 1
 
4.5%
49,630 1
 
4.5%
507,150 1
 
4.5%
830,430 1
 
4.5%
168,570 1
 
4.5%
1,688,175 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:44.595778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 24
15.5%
5 22
14.2%
1 17
11.0%
0 16
10.3%
6 15
9.7%
2 10
6.5%
8 9
 
5.8%
9 9
 
5.8%
4 9
 
5.8%
3 7
 
4.5%
Other values (12) 17
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
77.4%
Other Punctuation 26
 
16.8%
Other Letter 3
 
1.9%
Uppercase Letter 3
 
1.9%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 22
18.3%
1 17
14.2%
0 16
13.3%
6 15
12.5%
2 10
8.3%
8 9
7.5%
9 9
7.5%
4 9
7.5%
3 7
 
5.8%
7 6
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 24
92.3%
# 1
 
3.8%
! 1
 
3.8%
Other Letter
ValueCountFrequency (%)
계 1
33.3%
월 1
33.3%
합 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 149
96.1%
Hangul 3
 
1.9%
Latin 3
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
, 24
16.1%
5 22
14.8%
1 17
11.4%
0 16
10.7%
6 15
10.1%
2 10
6.7%
8 9
 
6.0%
9 9
 
6.0%
4 9
 
6.0%
3 7
 
4.7%
Other values (6) 11
7.4%
Hangul
ValueCountFrequency (%)
계 1
33.3%
월 1
33.3%
합 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 152
98.1%
Hangul 3
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 24
15.8%
5 22
14.5%
1 17
11.2%
0 16
10.5%
6 15
9.9%
2 10
6.6%
8 9
 
5.9%
9 9
 
5.9%
4 9
 
5.9%
3 7
 
4.6%
Other values (9) 14
9.2%
Hangul
ValueCountFrequency (%)
계 1
33.3%
월 1
33.3%
합 1
33.3%

Unnamed: 52
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:44.749500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.2272727
Min length1

Characters and Unicode

Total characters159
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row5월(합계)
2nd row548,515
3rd row2,137,015
4th row1,714,035
5th row958,200
ValueCountFrequency (%)
5월(합계 1
 
4.5%
548,515 1
 
4.5%
18,960,333 1
 
4.5%
0 1
 
4.5%
97,263 1
 
4.5%
50,815 1
 
4.5%
626,895 1
 
4.5%
1,180,845 1
 
4.5%
190,825 1
 
4.5%
1,826,960 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:44.996903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 26
16.4%
5 21
13.2%
1 21
13.2%
0 17
10.7%
6 12
7.5%
8 12
7.5%
9 10
 
6.3%
2 9
 
5.7%
3 9
 
5.7%
7 7
 
4.4%
Other values (12) 15
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 122
76.7%
Other Punctuation 28
 
17.6%
Other Letter 3
 
1.9%
Uppercase Letter 3
 
1.9%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 21
17.2%
1 21
17.2%
0 17
13.9%
6 12
9.8%
8 12
9.8%
9 10
8.2%
2 9
7.4%
3 9
7.4%
7 7
 
5.7%
4 4
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 26
92.9%
# 1
 
3.6%
! 1
 
3.6%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 153
96.2%
Hangul 3
 
1.9%
Latin 3
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
, 26
17.0%
5 21
13.7%
1 21
13.7%
0 17
11.1%
6 12
7.8%
8 12
7.8%
9 10
 
6.5%
2 9
 
5.9%
3 9
 
5.9%
7 7
 
4.6%
Other values (6) 9
 
5.9%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 156
98.1%
Hangul 3
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 26
16.7%
5 21
13.5%
1 21
13.5%
0 17
10.9%
6 12
7.7%
8 12
7.7%
9 10
 
6.4%
2 9
 
5.8%
3 9
 
5.8%
7 7
 
4.5%
Other values (9) 12
7.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%

Unnamed: 53
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:45.181607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.3181818
Min length5

Characters and Unicode

Total characters161
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row6월(합계)
2nd row461,505
3rd row1,561,945
4th row1,022,170
5th row601,925
ValueCountFrequency (%)
6월(합계 1
 
4.5%
461,505 1
 
4.5%
13,677,031 1
 
4.5%
1,127 1
 
4.5%
86,334 1
 
4.5%
36,015 1
 
4.5%
425,200 1
 
4.5%
685,305 1
 
4.5%
149,165 1
 
4.5%
1,541,975 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:45.469294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 26
16.1%
1 23
14.3%
5 22
13.7%
6 14
8.7%
0 14
8.7%
3 12
7.5%
4 10
 
6.2%
7 8
 
5.0%
2 8
 
5.0%
9 7
 
4.3%
Other values (12) 17
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
77.0%
Other Punctuation 28
 
17.4%
Other Letter 3
 
1.9%
Uppercase Letter 3
 
1.9%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23
18.5%
5 22
17.7%
6 14
11.3%
0 14
11.3%
3 12
9.7%
4 10
8.1%
7 8
 
6.5%
2 8
 
6.5%
9 7
 
5.6%
8 6
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 26
92.9%
# 1
 
3.6%
! 1
 
3.6%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 155
96.3%
Hangul 3
 
1.9%
Latin 3
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
, 26
16.8%
1 23
14.8%
5 22
14.2%
6 14
9.0%
0 14
9.0%
3 12
7.7%
4 10
 
6.5%
7 8
 
5.2%
2 8
 
5.2%
9 7
 
4.5%
Other values (6) 11
7.1%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 158
98.1%
Hangul 3
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 26
16.5%
1 23
14.6%
5 22
13.9%
6 14
8.9%
0 14
8.9%
3 12
7.6%
4 10
 
6.3%
7 8
 
5.1%
2 8
 
5.1%
9 7
 
4.4%
Other values (9) 14
8.9%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%

Unnamed: 54
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:45.674097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length7.1363636
Min length5

Characters and Unicode

Total characters157
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row7월(합계)
2nd row415,795
3rd row1,301,675
4th row737,540
5th row525,500
ValueCountFrequency (%)
7월(합계 1
 
4.5%
415,795 1
 
4.5%
12,451,699 1
 
4.5%
1,725 1
 
4.5%
631,429 1
 
4.5%
28,475 1
 
4.5%
335,780 1
 
4.5%
551,860 1
 
4.5%
99,370 1
 
4.5%
1,610,920 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:45.943488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 24
15.3%
5 23
14.6%
0 14
8.9%
3 13
8.3%
9 13
8.3%
1 12
7.6%
2 12
7.6%
7 12
7.6%
4 12
7.6%
6 7
 
4.5%
Other values (12) 15
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 122
77.7%
Other Punctuation 26
 
16.6%
Other Letter 3
 
1.9%
Uppercase Letter 3
 
1.9%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 23
18.9%
0 14
11.5%
3 13
10.7%
9 13
10.7%
1 12
9.8%
2 12
9.8%
7 12
9.8%
4 12
9.8%
6 7
 
5.7%
8 4
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 24
92.3%
# 1
 
3.8%
! 1
 
3.8%
Other Letter
ValueCountFrequency (%)
계 1
33.3%
월 1
33.3%
합 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 151
96.2%
Hangul 3
 
1.9%
Latin 3
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
, 24
15.9%
5 23
15.2%
0 14
9.3%
3 13
8.6%
9 13
8.6%
1 12
7.9%
2 12
7.9%
7 12
7.9%
4 12
7.9%
6 7
 
4.6%
Other values (6) 9
 
6.0%
Hangul
ValueCountFrequency (%)
계 1
33.3%
월 1
33.3%
합 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 154
98.1%
Hangul 3
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 24
15.6%
5 23
14.9%
0 14
9.1%
3 13
8.4%
9 13
8.4%
1 12
7.8%
2 12
7.8%
7 12
7.8%
4 12
7.8%
6 7
 
4.5%
Other values (9) 12
7.8%
Hangul
ValueCountFrequency (%)
계 1
33.3%
월 1
33.3%
합 1
33.3%

Unnamed: 55
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:46.083999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length6.6818182
Min length1

Characters and Unicode

Total characters147
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row8월(합계)
2nd row357,165
3rd row1,024,535
4th row534,040
5th row375,625
ValueCountFrequency (%)
0 2
 
9.1%
338,170 1
 
4.5%
8월(합계 1
 
4.5%
9,057,515 1
 
4.5%
19,155 1
 
4.5%
255,500 1
 
4.5%
457,115 1
 
4.5%
143,780 1
 
4.5%
1,350,105 1
 
4.5%
310,020 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:46.326436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24
16.3%
5 24
16.3%
, 22
15.0%
1 16
10.9%
7 10
6.8%
3 10
6.8%
2 8
 
5.4%
6 6
 
4.1%
4 6
 
4.1%
8 6
 
4.1%
Other values (12) 15
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114
77.6%
Other Punctuation 24
 
16.3%
Uppercase Letter 3
 
2.0%
Other Letter 3
 
2.0%
Close Punctuation 1
 
0.7%
Space Separator 1
 
0.7%
Open Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
21.1%
5 24
21.1%
1 16
14.0%
7 10
8.8%
3 10
8.8%
2 8
 
7.0%
6 6
 
5.3%
4 6
 
5.3%
8 6
 
5.3%
9 4
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 22
91.7%
# 1
 
4.2%
! 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
E 1
33.3%
R 1
33.3%
Other Letter
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 141
95.9%
Latin 3
 
2.0%
Hangul 3
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24
17.0%
5 24
17.0%
, 22
15.6%
1 16
11.3%
7 10
7.1%
3 10
7.1%
2 8
 
5.7%
6 6
 
4.3%
4 6
 
4.3%
8 6
 
4.3%
Other values (6) 9
 
6.4%
Latin
ValueCountFrequency (%)
F 1
33.3%
E 1
33.3%
R 1
33.3%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 144
98.0%
Hangul 3
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24
16.7%
5 24
16.7%
, 22
15.3%
1 16
11.1%
7 10
6.9%
3 10
6.9%
2 8
 
5.6%
6 6
 
4.2%
4 6
 
4.2%
8 6
 
4.2%
Other values (9) 12
8.3%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%

Unnamed: 56
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:46.490394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8.3181818
Min length5

Characters and Unicode

Total characters183
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row9월(합계)
2nd row1,303,900
3rd row7,553,900
4th row2,250,545
5th row1,915,405
ValueCountFrequency (%)
9월(합계 1
 
4.5%
1,303,900 1
 
4.5%
49,099,870 1
 
4.5%
3,000 1
 
4.5%
931,600 1
 
4.5%
135,275 1
 
4.5%
1,198,005 1
 
4.5%
2,503,710 1
 
4.5%
292,465 1
 
4.5%
2,851,850 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:46.753920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 36
19.7%
0 28
15.3%
5 20
10.9%
9 18
9.8%
2 14
 
7.7%
1 13
 
7.1%
3 13
 
7.1%
8 11
 
6.0%
4 9
 
4.9%
7 7
 
3.8%
Other values (12) 14
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 136
74.3%
Other Punctuation 38
 
20.8%
Uppercase Letter 3
 
1.6%
Other Letter 3
 
1.6%
Space Separator 1
 
0.5%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
20.6%
5 20
14.7%
9 18
13.2%
2 14
10.3%
1 13
9.6%
3 13
9.6%
8 11
 
8.1%
4 9
 
6.6%
7 7
 
5.1%
6 3
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 36
94.7%
# 1
 
2.6%
! 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
E 1
33.3%
R 1
33.3%
Other Letter
ValueCountFrequency (%)
계 1
33.3%
월 1
33.3%
합 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 177
96.7%
Latin 3
 
1.6%
Hangul 3
 
1.6%

Most frequent character per script

Common
ValueCountFrequency (%)
, 36
20.3%
0 28
15.8%
5 20
11.3%
9 18
10.2%
2 14
 
7.9%
1 13
 
7.3%
3 13
 
7.3%
8 11
 
6.2%
4 9
 
5.1%
7 7
 
4.0%
Other values (6) 8
 
4.5%
Latin
ValueCountFrequency (%)
F 1
33.3%
E 1
33.3%
R 1
33.3%
Hangul
ValueCountFrequency (%)
계 1
33.3%
월 1
33.3%
합 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180
98.4%
Hangul 3
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 36
20.0%
0 28
15.6%
5 20
11.1%
9 18
10.0%
2 14
 
7.8%
1 13
 
7.2%
3 13
 
7.2%
8 11
 
6.1%
4 9
 
5.0%
7 7
 
3.9%
Other values (9) 11
 
6.1%
Hangul
ValueCountFrequency (%)
계 1
33.3%
월 1
33.3%
합 1
33.3%

Unnamed: 57
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:46.918049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8.4545455
Min length5

Characters and Unicode

Total characters186
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row10월(합계)
2nd row1,008,920
3rd row6,507,610
4th row1,631,105
5th row1,521,170
ValueCountFrequency (%)
10월(합계 1
 
4.5%
1,008,920 1
 
4.5%
41,747,410 1
 
4.5%
3,000 1
 
4.5%
1,693,900 1
 
4.5%
120,620 1
 
4.5%
1,007,265 1
 
4.5%
2,160,140 1
 
4.5%
381,045 1
 
4.5%
2,124,330 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:47.172882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 37
19.9%
0 35
18.8%
1 23
12.4%
4 11
 
5.9%
5 11
 
5.9%
2 11
 
5.9%
9 10
 
5.4%
3 10
 
5.4%
7 9
 
4.8%
6 9
 
4.8%
Other values (12) 20
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
74.2%
Other Punctuation 39
 
21.0%
Other Letter 3
 
1.6%
Uppercase Letter 3
 
1.6%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%
Space Separator 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35
25.4%
1 23
16.7%
4 11
 
8.0%
5 11
 
8.0%
2 11
 
8.0%
9 10
 
7.2%
3 10
 
7.2%
7 9
 
6.5%
6 9
 
6.5%
8 9
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 37
94.9%
# 1
 
2.6%
! 1
 
2.6%
Other Letter
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 180
96.8%
Hangul 3
 
1.6%
Latin 3
 
1.6%

Most frequent character per script

Common
ValueCountFrequency (%)
, 37
20.6%
0 35
19.4%
1 23
12.8%
4 11
 
6.1%
5 11
 
6.1%
2 11
 
6.1%
9 10
 
5.6%
3 10
 
5.6%
7 9
 
5.0%
6 9
 
5.0%
Other values (6) 14
 
7.8%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 183
98.4%
Hangul 3
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 37
20.2%
0 35
19.1%
1 23
12.6%
4 11
 
6.0%
5 11
 
6.0%
2 11
 
6.0%
9 10
 
5.5%
3 10
 
5.5%
7 9
 
4.9%
6 9
 
4.9%
Other values (9) 17
9.3%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%

Unnamed: 58
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:47.349372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.8636364
Min length5

Characters and Unicode

Total characters173
Distinct characters22
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row11월(합계)
2nd row727,390
3rd row3,745,825
4th row968,160
5th row870,740
ValueCountFrequency (%)
11월(합계 1
 
4.5%
727,390 1
 
4.5%
24,100,157 1
 
4.5%
1,180 1
 
4.5%
844,857 1
 
4.5%
60,580 1
 
4.5%
662,070 1
 
4.5%
1,373,150 1
 
4.5%
218,665 1
 
4.5%
1,455,310 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:47.624898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 31
17.9%
0 26
15.0%
1 24
13.9%
5 18
10.4%
4 12
 
6.9%
6 12
 
6.9%
7 11
 
6.4%
8 9
 
5.2%
2 8
 
4.6%
3 7
 
4.0%
Other values (12) 15
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 131
75.7%
Other Punctuation 33
 
19.1%
Uppercase Letter 3
 
1.7%
Other Letter 3
 
1.7%
Space Separator 1
 
0.6%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
19.8%
1 24
18.3%
5 18
13.7%
4 12
9.2%
6 12
9.2%
7 11
8.4%
8 9
 
6.9%
2 8
 
6.1%
3 7
 
5.3%
9 4
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 31
93.9%
# 1
 
3.0%
! 1
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
E 1
33.3%
R 1
33.3%
Other Letter
ValueCountFrequency (%)
합 1
33.3%
계 1
33.3%
월 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 167
96.5%
Latin 3
 
1.7%
Hangul 3
 
1.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 31
18.6%
0 26
15.6%
1 24
14.4%
5 18
10.8%
4 12
 
7.2%
6 12
 
7.2%
7 11
 
6.6%
8 9
 
5.4%
2 8
 
4.8%
3 7
 
4.2%
Other values (6) 9
 
5.4%
Latin
ValueCountFrequency (%)
F 1
33.3%
E 1
33.3%
R 1
33.3%
Hangul
ValueCountFrequency (%)
합 1
33.3%
계 1
33.3%
월 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170
98.3%
Hangul 3
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 31
18.2%
0 26
15.3%
1 24
14.1%
5 18
10.6%
4 12
 
7.1%
6 12
 
7.1%
7 11
 
6.5%
8 9
 
5.3%
2 8
 
4.7%
3 7
 
4.1%
Other values (9) 12
 
7.1%
Hangul
ValueCountFrequency (%)
합 1
33.3%
계 1
33.3%
월 1
33.3%

Unnamed: 59
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:47.828426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.7727273
Min length5

Characters and Unicode

Total characters171
Distinct characters20
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row12월 합계
2nd row698,850
3rd row3,518,210
4th row1,588,405
5th row928,190
ValueCountFrequency (%)
12월 1
 
4.3%
1,057,670 1
 
4.3%
23,685,024 1
 
4.3%
2,107 1
 
4.3%
51,392 1
 
4.3%
57,080 1
 
4.3%
615,605 1
 
4.3%
1,359,475 1
 
4.3%
278,860 1
 
4.3%
1,463,885 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T09:38:48.113614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 31
18.1%
1 19
11.1%
0 18
10.5%
5 18
10.5%
8 17
9.9%
6 14
8.2%
4 12
 
7.0%
2 9
 
5.3%
9 8
 
4.7%
3 8
 
4.7%
Other values (10) 17
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130
76.0%
Other Punctuation 33
 
19.3%
Other Letter 3
 
1.8%
Uppercase Letter 3
 
1.8%
Space Separator 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
14.6%
0 18
13.8%
5 18
13.8%
8 17
13.1%
6 14
10.8%
4 12
9.2%
2 9
6.9%
9 8
6.2%
3 8
6.2%
7 7
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 31
93.9%
# 1
 
3.0%
! 1
 
3.0%
Other Letter
ValueCountFrequency (%)
합 1
33.3%
계 1
33.3%
월 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 165
96.5%
Hangul 3
 
1.8%
Latin 3
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
, 31
18.8%
1 19
11.5%
0 18
10.9%
5 18
10.9%
8 17
10.3%
6 14
8.5%
4 12
 
7.3%
2 9
 
5.5%
9 8
 
4.8%
3 8
 
4.8%
Other values (4) 11
 
6.7%
Hangul
ValueCountFrequency (%)
합 1
33.3%
계 1
33.3%
월 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 168
98.2%
Hangul 3
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 31
18.5%
1 19
11.3%
0 18
10.7%
5 18
10.7%
8 17
10.1%
6 14
8.3%
4 12
 
7.1%
2 9
 
5.4%
9 8
 
4.8%
3 8
 
4.8%
Other values (7) 14
8.3%
Hangul
ValueCountFrequency (%)
합 1
33.3%
계 1
33.3%
월 1
33.3%

Unnamed: 60
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:48.274407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.3636364
Min length2

Characters and Unicode

Total characters206
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row소계
2nd row8,713,895
3rd row40,686,770
4th row15,262,495
5th row13,600,370
ValueCountFrequency (%)
소계 1
 
4.5%
8,713,895 1
 
4.5%
291,830,718 1
 
4.5%
87,064 1
 
4.5%
5,213,203 1
 
4.5%
748,305 1
 
4.5%
7,396,520 1
 
4.5%
14,653,225 1
 
4.5%
2,710,585 1
 
4.5%
21,687,535 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:48.576799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 40
19.4%
1 23
11.2%
5 21
10.2%
0 18
8.7%
2 18
8.7%
6 16
 
7.8%
7 15
 
7.3%
3 15
 
7.3%
8 13
 
6.3%
4 11
 
5.3%
Other values (4) 16
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
77.7%
Other Punctuation 40
 
19.4%
Space Separator 4
 
1.9%
Other Letter 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23
14.4%
5 21
13.1%
0 18
11.2%
2 18
11.2%
6 16
10.0%
7 15
9.4%
3 15
9.4%
8 13
8.1%
4 11
6.9%
9 10
6.2%
Other Letter
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
99.0%
Hangul 2
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 40
19.6%
1 23
11.3%
5 21
10.3%
0 18
8.8%
2 18
8.8%
6 16
 
7.8%
7 15
 
7.4%
3 15
 
7.4%
8 13
 
6.4%
4 11
 
5.4%
Other values (2) 14
 
6.9%
Hangul
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
99.0%
Hangul 2
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 40
19.6%
1 23
11.3%
5 21
10.3%
0 18
8.8%
2 18
8.8%
6 16
 
7.8%
7 15
 
7.4%
3 15
 
7.4%
8 13
 
6.4%
4 11
 
5.4%
Other values (2) 14
 
6.9%
Hangul
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%

Unnamed: 61
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:38:48.714547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.3043478
Min length3

Characters and Unicode

Total characters214
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row2014년
2nd row1월합계
3rd row 713,715
4th row 4,737,105
5th row 2,550,825
ValueCountFrequency (%)
2
 
8.7%
2014년 1
 
4.3%
1,109,780 1
 
4.3%
32,315,990 1
 
4.3%
86,635 1
 
4.3%
652,500 1
 
4.3%
1,591,390 1
 
4.3%
297,490 1
 
4.3%
1,772,920 1
 
4.3%
2,086,670 1
 
4.3%
Other values (12) 12
52.2%
2024-03-14T09:38:48.967181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
18.7%
, 33
15.4%
5 21
9.8%
0 20
9.3%
1 16
 
7.5%
2 14
 
6.5%
9 14
 
6.5%
8 13
 
6.1%
7 12
 
5.6%
6 10
 
4.7%
Other values (7) 21
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 135
63.1%
Space Separator 40
 
18.7%
Other Punctuation 33
 
15.4%
Other Letter 4
 
1.9%
Dash Punctuation 2
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 21
15.6%
0 20
14.8%
1 16
11.9%
2 14
10.4%
9 14
10.4%
8 13
9.6%
7 12
8.9%
6 10
7.4%
3 8
 
5.9%
4 7
 
5.2%
Other Letter
ValueCountFrequency (%)
계 1
25.0%
월 1
25.0%
년 1
25.0%
합 1
25.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210
98.1%
Hangul 4
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
40
19.0%
, 33
15.7%
5 21
10.0%
0 20
9.5%
1 16
 
7.6%
2 14
 
6.7%
9 14
 
6.7%
8 13
 
6.2%
7 12
 
5.7%
6 10
 
4.8%
Other values (3) 17
8.1%
Hangul
ValueCountFrequency (%)
계 1
25.0%
월 1
25.0%
년 1
25.0%
합 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
98.1%
Hangul 4
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
19.0%
, 33
15.7%
5 21
10.0%
0 20
9.5%
1 16
 
7.6%
2 14
 
6.7%
9 14
 
6.7%
8 13
 
6.2%
7 12
 
5.7%
6 10
 
4.8%
Other values (3) 17
8.1%
Hangul
ValueCountFrequency (%)
계 1
25.0%
월 1
25.0%
년 1
25.0%
합 1
25.0%

Unnamed: 62
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:49.134294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.272727
Min length3

Characters and Unicode

Total characters226
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row2월합계
2nd row 1,087,555
3rd row 6,889,300
4th row 2,353,045
5th row 2,236,065
ValueCountFrequency (%)
2월합계 1
 
4.5%
1,087,555 1
 
4.5%
46,817,247 1
 
4.5%
1
 
4.5%
2,302,522 1
 
4.5%
139,090 1
 
4.5%
1,157,190 1
 
4.5%
1,730,515 1
 
4.5%
363,135 1
 
4.5%
2,459,020 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:49.396338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
17.7%
, 39
17.3%
5 24
10.6%
3 20
8.8%
0 19
8.4%
2 17
7.5%
1 16
 
7.1%
7 12
 
5.3%
9 12
 
5.3%
8 10
 
4.4%
Other values (6) 17
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 143
63.3%
Space Separator 40
 
17.7%
Other Punctuation 39
 
17.3%
Other Letter 3
 
1.3%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 24
16.8%
3 20
14.0%
0 19
13.3%
2 17
11.9%
1 16
11.2%
7 12
8.4%
9 12
8.4%
8 10
7.0%
6 7
 
4.9%
4 6
 
4.2%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 223
98.7%
Hangul 3
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
40
17.9%
, 39
17.5%
5 24
10.8%
3 20
9.0%
0 19
8.5%
2 17
7.6%
1 16
 
7.2%
7 12
 
5.4%
9 12
 
5.4%
8 10
 
4.5%
Other values (3) 14
 
6.3%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 223
98.7%
Hangul 3
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
17.9%
, 39
17.5%
5 24
10.8%
3 20
9.0%
0 19
8.5%
2 17
7.6%
1 16
 
7.2%
7 12
 
5.4%
9 12
 
5.4%
8 10
 
4.5%
Other values (3) 14
 
6.3%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 63
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:49.579256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12.5
Mean length9.6818182
Min length3

Characters and Unicode

Total characters213
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row3월합계
2nd row 735,375
3rd row 3,564,460
4th row 1,317,305
5th row 1,097,705
ValueCountFrequency (%)
3월합계 1
 
4.5%
735,375 1
 
4.5%
28,055,960 1
 
4.5%
1
 
4.5%
1,421,685 1
 
4.5%
70,770 1
 
4.5%
717,775 1
 
4.5%
929,655 1
 
4.5%
295,235 1
 
4.5%
1,671,380 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:49.870277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
18.8%
, 33
15.5%
0 20
9.4%
5 19
8.9%
7 16
 
7.5%
3 15
 
7.0%
1 15
 
7.0%
9 15
 
7.0%
6 14
 
6.6%
4 9
 
4.2%
Other values (6) 17
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 136
63.8%
Space Separator 40
 
18.8%
Other Punctuation 33
 
15.5%
Other Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
14.7%
5 19
14.0%
7 16
11.8%
3 15
11.0%
1 15
11.0%
9 15
11.0%
6 14
10.3%
4 9
6.6%
2 8
 
5.9%
8 5
 
3.7%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
40
19.0%
, 33
15.7%
0 20
9.5%
5 19
9.0%
7 16
 
7.6%
3 15
 
7.1%
1 15
 
7.1%
9 15
 
7.1%
6 14
 
6.7%
4 9
 
4.3%
Other values (3) 14
 
6.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
19.0%
, 33
15.7%
0 20
9.5%
5 19
9.0%
7 16
 
7.6%
3 15
 
7.1%
1 15
 
7.1%
9 15
 
7.1%
6 14
 
6.7%
4 9
 
4.3%
Other values (3) 14
 
6.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 64
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:50.078125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.5909091
Min length3

Characters and Unicode

Total characters211
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row4월합계
2nd row 601,300
3rd row 2,363,225
4th row 1,121,210
5th row 993,880
ValueCountFrequency (%)
4월합계 1
 
4.5%
601,300 1
 
4.5%
24,467,570 1
 
4.5%
1
 
4.5%
1,489,270 1
 
4.5%
53,165 1
 
4.5%
540,020 1
 
4.5%
674,100 1
 
4.5%
237,790 1
 
4.5%
1,761,120 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:50.350792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
19.0%
, 32
15.2%
0 21
10.0%
1 19
9.0%
5 17
8.1%
6 16
 
7.6%
2 14
 
6.6%
4 12
 
5.7%
3 11
 
5.2%
7 10
 
4.7%
Other values (6) 19
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 135
64.0%
Space Separator 40
 
19.0%
Other Punctuation 32
 
15.2%
Other Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
15.6%
1 19
14.1%
5 17
12.6%
6 16
11.9%
2 14
10.4%
4 12
8.9%
3 11
8.1%
7 10
7.4%
8 8
 
5.9%
9 7
 
5.2%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 208
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
40
19.2%
, 32
15.4%
0 21
10.1%
1 19
9.1%
5 17
8.2%
6 16
 
7.7%
2 14
 
6.7%
4 12
 
5.8%
3 11
 
5.3%
7 10
 
4.8%
Other values (3) 16
 
7.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 208
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
19.2%
, 32
15.4%
0 21
10.1%
1 19
9.1%
5 17
8.2%
6 16
 
7.7%
2 14
 
6.7%
4 12
 
5.8%
3 11
 
5.3%
7 10
 
4.8%
Other values (3) 16
 
7.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 65
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:50.535862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.5909091
Min length3

Characters and Unicode

Total characters211
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row5월합계
2nd row 626,325
3rd row 2,342,075
4th row 1,260,410
5th row 1,096,070
ValueCountFrequency (%)
5월합계 1
 
4.5%
626,325 1
 
4.5%
24,054,748 1
 
4.5%
1
 
4.5%
1,132,098 1
 
4.5%
76,510 1
 
4.5%
726,535 1
 
4.5%
827,330 1
 
4.5%
262,320 1
 
4.5%
1,842,420 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:50.797121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
19.0%
, 32
15.2%
0 21
10.0%
5 20
9.5%
2 17
8.1%
1 15
 
7.1%
4 13
 
6.2%
7 13
 
6.2%
8 11
 
5.2%
6 10
 
4.7%
Other values (6) 19
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 135
64.0%
Space Separator 40
 
19.0%
Other Punctuation 32
 
15.2%
Other Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
15.6%
5 20
14.8%
2 17
12.6%
1 15
11.1%
4 13
9.6%
7 13
9.6%
8 11
8.1%
6 10
7.4%
3 9
6.7%
9 6
 
4.4%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 208
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
40
19.2%
, 32
15.4%
0 21
10.1%
5 20
9.6%
2 17
8.2%
1 15
 
7.2%
4 13
 
6.2%
7 13
 
6.2%
8 11
 
5.3%
6 10
 
4.8%
Other values (3) 16
 
7.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 208
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
19.2%
, 32
15.4%
0 21
10.1%
5 20
9.6%
2 17
8.2%
1 15
 
7.2%
4 13
 
6.2%
7 13
 
6.2%
8 11
 
5.3%
6 10
 
4.8%
Other values (3) 16
 
7.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 66
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:50.950691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.7727273
Min length3

Characters and Unicode

Total characters215
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row6월합계
2nd row 588,425
3rd row 2,394,985
4th row 1,409,325
5th row 1,003,990
ValueCountFrequency (%)
6월합계 1
 
4.5%
588,425 1
 
4.5%
27,336,828 1
 
4.5%
1
 
4.5%
1,265,343 1
 
4.5%
63,040 1
 
4.5%
712,660 1
 
4.5%
858,305 1
 
4.5%
366,610 1
 
4.5%
2,206,910 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:51.214822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
18.6%
, 34
15.8%
0 23
10.7%
1 19
8.8%
2 16
 
7.4%
6 14
 
6.5%
5 14
 
6.5%
3 13
 
6.0%
4 11
 
5.1%
9 11
 
5.1%
Other values (6) 20
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 137
63.7%
Space Separator 40
 
18.6%
Other Punctuation 34
 
15.8%
Other Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
16.8%
1 19
13.9%
2 16
11.7%
6 14
10.2%
5 14
10.2%
3 13
9.5%
4 11
8.0%
9 11
8.0%
8 9
 
6.6%
7 7
 
5.1%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 212
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
40
18.9%
, 34
16.0%
0 23
10.8%
1 19
9.0%
2 16
 
7.5%
6 14
 
6.6%
5 14
 
6.6%
3 13
 
6.1%
4 11
 
5.2%
9 11
 
5.2%
Other values (3) 17
8.0%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 212
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
18.9%
, 34
16.0%
0 23
10.8%
1 19
9.0%
2 16
 
7.5%
6 14
 
6.6%
5 14
 
6.6%
3 13
 
6.1%
4 11
 
5.2%
9 11
 
5.2%
Other values (3) 17
8.0%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 67
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:51.368820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.9545455
Min length3

Characters and Unicode

Total characters219
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row7월합계
2nd row 647,960
3rd row 2,990,275
4th row 1,630,685
5th row 1,122,535
ValueCountFrequency (%)
7월합계 1
 
4.5%
647,960 1
 
4.5%
38,445,045 1
 
4.5%
1
 
4.5%
1,570,930 1
 
4.5%
52,800 1
 
4.5%
968,130 1
 
4.5%
793,005 1
 
4.5%
417,915 1
 
4.5%
3,251,490 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:51.633484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
18.3%
, 36
16.4%
0 23
10.5%
1 22
10.0%
5 21
9.6%
9 12
 
5.5%
7 11
 
5.0%
6 11
 
5.0%
3 11
 
5.0%
2 10
 
4.6%
Other values (6) 22
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 139
63.5%
Space Separator 40
 
18.3%
Other Punctuation 36
 
16.4%
Other Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
16.5%
1 22
15.8%
5 21
15.1%
9 12
8.6%
7 11
7.9%
6 11
7.9%
3 11
7.9%
2 10
7.2%
4 9
 
6.5%
8 9
 
6.5%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 216
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
40
18.5%
, 36
16.7%
0 23
10.6%
1 22
10.2%
5 21
9.7%
9 12
 
5.6%
7 11
 
5.1%
6 11
 
5.1%
3 11
 
5.1%
2 10
 
4.6%
Other values (3) 19
8.8%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 216
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
18.5%
, 36
16.7%
0 23
10.6%
1 22
10.2%
5 21
9.7%
9 12
 
5.6%
7 11
 
5.1%
6 11
 
5.1%
3 11
 
5.1%
2 10
 
4.6%
Other values (3) 19
8.8%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 68
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:38:51.808363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.6521739
Min length3

Characters and Unicode

Total characters222
Distinct characters21
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row8월합계
2nd row 639,590
3rd row 3,126,695
4th row 1,942,855
5th row 1,305,095
ValueCountFrequency (%)
8월합계 1
 
4.3%
1,714,790 1
 
4.3%
1,193,588,132 1
 
4.3%
42,923,185 1
 
4.3%
1
 
4.3%
1,403,020 1
 
4.3%
45,690 1
 
4.3%
625,700 1
 
4.3%
724,250 1
 
4.3%
592,000 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T09:38:52.147103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
18.0%
, 35
15.8%
0 24
10.8%
1 16
 
7.2%
5 16
 
7.2%
2 15
 
6.8%
6 13
 
5.9%
9 13
 
5.9%
3 12
 
5.4%
4 10
 
4.5%
Other values (11) 28
12.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
62.2%
Space Separator 40
 
18.0%
Other Punctuation 37
 
16.7%
Other Letter 3
 
1.4%
Uppercase Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
17.4%
1 16
11.6%
5 16
11.6%
2 15
10.9%
6 13
9.4%
9 13
9.4%
3 12
8.7%
4 10
7.2%
8 10
7.2%
7 9
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 35
94.6%
# 1
 
2.7%
! 1
 
2.7%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 216
97.3%
Hangul 3
 
1.4%
Latin 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
40
18.5%
, 35
16.2%
0 24
11.1%
1 16
 
7.4%
5 16
 
7.4%
2 15
 
6.9%
6 13
 
6.0%
9 13
 
6.0%
3 12
 
5.6%
4 10
 
4.6%
Other values (5) 22
10.2%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
18.3%
, 35
16.0%
0 24
11.0%
1 16
 
7.3%
5 16
 
7.3%
2 15
 
6.8%
6 13
 
5.9%
9 13
 
5.9%
3 12
 
5.5%
4 10
 
4.6%
Other values (8) 25
11.4%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%

Unnamed: 69
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:38:52.331275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.043478
Min length3

Characters and Unicode

Total characters231
Distinct characters21
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row9월합계
2nd row 1,611,645
3rd row 9,467,205
4th row 4,358,140
5th row 3,848,780
ValueCountFrequency (%)
9월합계 1
 
4.3%
2,902,155 1
 
4.3%
1,276,026,737 1
 
4.3%
82,438,605 1
 
4.3%
1
 
4.3%
450,795 1
 
4.3%
145,335 1
 
4.3%
1,656,875 1
 
4.3%
2,484,875 1
 
4.3%
968,915 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T09:38:52.608107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
17.3%
, 38
16.5%
5 24
10.4%
4 18
7.8%
8 15
 
6.5%
6 15
 
6.5%
2 14
 
6.1%
3 14
 
6.1%
0 13
 
5.6%
1 12
 
5.2%
Other values (11) 28
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 144
62.3%
Space Separator 40
 
17.3%
Other Punctuation 40
 
17.3%
Other Letter 3
 
1.3%
Uppercase Letter 3
 
1.3%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 24
16.7%
4 18
12.5%
8 15
10.4%
6 15
10.4%
2 14
9.7%
3 14
9.7%
0 13
9.0%
1 12
8.3%
7 10
6.9%
9 9
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 38
95.0%
# 1
 
2.5%
! 1
 
2.5%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 225
97.4%
Hangul 3
 
1.3%
Latin 3
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
40
17.8%
, 38
16.9%
5 24
10.7%
4 18
8.0%
8 15
 
6.7%
6 15
 
6.7%
2 14
 
6.2%
3 14
 
6.2%
0 13
 
5.8%
1 12
 
5.3%
Other values (5) 22
9.8%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 228
98.7%
Hangul 3
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
17.5%
, 38
16.7%
5 24
10.5%
4 18
7.9%
8 15
 
6.6%
6 15
 
6.6%
2 14
 
6.1%
3 14
 
6.1%
0 13
 
5.7%
1 12
 
5.3%
Other values (8) 25
11.0%
Hangul
ValueCountFrequency (%)
월 1
33.3%
계 1
33.3%
합 1
33.3%

Unnamed: 70
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:52.807637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.090909
Min length3

Characters and Unicode

Total characters222
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row10월합계
2nd row 851,935
3rd row 5,185,670
4th row 1,986,640
5th row 1,973,165
ValueCountFrequency (%)
10월합계 1
 
4.5%
851,935 1
 
4.5%
46,825,901 1
 
4.5%
1
 
4.5%
1,497,771 1
 
4.5%
85,285 1
 
4.5%
942,585 1
 
4.5%
1,736,330 1
 
4.5%
519,240 1
 
4.5%
2,771,735 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:53.063115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
18.0%
, 37
16.7%
5 22
9.9%
1 20
9.0%
2 15
 
6.8%
7 14
 
6.3%
8 13
 
5.9%
4 13
 
5.9%
0 12
 
5.4%
9 12
 
5.4%
Other values (6) 24
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 141
63.5%
Space Separator 40
 
18.0%
Other Punctuation 37
 
16.7%
Other Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 22
15.6%
1 20
14.2%
2 15
10.6%
7 14
9.9%
8 13
9.2%
4 13
9.2%
0 12
8.5%
9 12
8.5%
6 11
7.8%
3 9
6.4%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 219
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
40
18.3%
, 37
16.9%
5 22
10.0%
1 20
9.1%
2 15
 
6.8%
7 14
 
6.4%
8 13
 
5.9%
4 13
 
5.9%
0 12
 
5.5%
9 12
 
5.5%
Other values (3) 21
9.6%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
18.3%
, 37
16.9%
5 22
10.0%
1 20
9.1%
2 15
 
6.8%
7 14
 
6.4%
8 13
 
5.9%
4 13
 
5.9%
0 12
 
5.5%
9 12
 
5.5%
Other values (3) 21
9.6%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 71
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:38:53.219489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.7826087
Min length3

Characters and Unicode

Total characters225
Distinct characters21
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row11월합계
2nd row 795,370
3rd row 4,661,820
4th row 1,449,885
5th row 1,328,270
ValueCountFrequency (%)
11월합계 1
 
4.3%
1,424,175 1
 
4.3%
1,359,733,937 1
 
4.3%
36,881,299 1
 
4.3%
1
 
4.3%
1,004,999 1
 
4.3%
58,210 1
 
4.3%
681,795 1
 
4.3%
1,493,140 1
 
4.3%
415,820 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T09:38:53.470107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
17.8%
, 36
16.0%
1 21
9.3%
9 17
7.6%
3 16
 
7.1%
5 16
 
7.1%
0 14
 
6.2%
6 13
 
5.8%
2 13
 
5.8%
4 11
 
4.9%
Other values (11) 28
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 140
62.2%
Space Separator 40
 
17.8%
Other Punctuation 38
 
16.9%
Other Letter 3
 
1.3%
Uppercase Letter 3
 
1.3%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
15.0%
9 17
12.1%
3 16
11.4%
5 16
11.4%
0 14
10.0%
6 13
9.3%
2 13
9.3%
4 11
7.9%
8 11
7.9%
7 8
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 36
94.7%
# 1
 
2.6%
! 1
 
2.6%
Other Letter
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 219
97.3%
Hangul 3
 
1.3%
Latin 3
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
40
18.3%
, 36
16.4%
1 21
9.6%
9 17
7.8%
3 16
 
7.3%
5 16
 
7.3%
0 14
 
6.4%
6 13
 
5.9%
2 13
 
5.9%
4 11
 
5.0%
Other values (5) 22
10.0%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%
Latin
ValueCountFrequency (%)
R 1
33.3%
E 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 222
98.7%
Hangul 3
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
18.0%
, 36
16.2%
1 21
9.5%
9 17
7.7%
3 16
 
7.2%
5 16
 
7.2%
0 14
 
6.3%
6 13
 
5.9%
2 13
 
5.9%
4 11
 
5.0%
Other values (8) 25
11.3%
Hangul
ValueCountFrequency (%)
계 1
33.3%
합 1
33.3%
월 1
33.3%

Unnamed: 72
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:53.625589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10
Min length3

Characters and Unicode

Total characters220
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row12월합계
2nd row 800,315
3rd row 4,533,920
4th row 1,569,305
5th row 1,576,015
ValueCountFrequency (%)
12월합계 1
 
4.5%
800,315 1
 
4.5%
37,079,815 1
 
4.5%
1
 
4.5%
1,013,645 1
 
4.5%
58,330 1
 
4.5%
632,395 1
 
4.5%
1,616,370 1
 
4.5%
430,705 1
 
4.5%
2,430,750 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:38:53.900545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
18.2%
, 36
16.4%
3 23
10.5%
0 22
10.0%
5 21
9.5%
1 19
8.6%
9 12
 
5.5%
8 10
 
4.5%
6 9
 
4.1%
7 9
 
4.1%
Other values (6) 19
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 140
63.6%
Space Separator 40
 
18.2%
Other Punctuation 36
 
16.4%
Other Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 23
16.4%
0 22
15.7%
5 21
15.0%
1 19
13.6%
9 12
8.6%
8 10
7.1%
6 9
 
6.4%
7 9
 
6.4%
2 8
 
5.7%
4 7
 
5.0%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 217
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
40
18.4%
, 36
16.6%
3 23
10.6%
0 22
10.1%
5 21
9.7%
1 19
8.8%
9 12
 
5.5%
8 10
 
4.6%
6 9
 
4.1%
7 9
 
4.1%
Other values (3) 16
 
7.4%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 217
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
18.4%
, 36
16.6%
3 23
10.6%
0 22
10.1%
5 21
9.7%
1 19
8.8%
9 12
 
5.5%
8 10
 
4.6%
6 9
 
4.1%
7 9
 
4.1%
Other values (3) 16
 
7.4%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 73
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:38:54.094104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length9.0869565
Min length1

Characters and Unicode

Total characters209
Distinct characters19
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row소계
2nd row9,699,510
3rd row52,256,735
4th row22,949,630
5th row19,566,630
ValueCountFrequency (%)
소계 1
 
4.3%
22,118,000 1
 
4.3%
1,396,813,752 1
 
4.3%
467,642,193 1
 
4.3%
0 1
 
4.3%
14,552,078 1
 
4.3%
934,860 1
 
4.3%
10,014,160 1
 
4.3%
15,459,265 1
 
4.3%
5,167,175 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T09:38:54.439004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 40
19.1%
0 26
12.4%
1 22
10.5%
6 20
9.6%
9 19
9.1%
5 17
8.1%
2 15
 
7.2%
3 13
 
6.2%
4 12
 
5.7%
7 10
 
4.8%
Other values (9) 15
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
76.6%
Other Punctuation 42
 
20.1%
Uppercase Letter 3
 
1.4%
Space Separator 2
 
1.0%
Other Letter 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
16.2%
1 22
13.8%
6 20
12.5%
9 19
11.9%
5 17
10.6%
2 15
9.4%
3 13
8.1%
4 12
7.5%
7 10
 
6.2%
8 6
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 40
95.2%
# 1
 
2.4%
! 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
F 1
33.3%
E 1
33.3%
Other Letter
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
97.6%
Latin 3
 
1.4%
Hangul 2
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 40
19.6%
0 26
12.7%
1 22
10.8%
6 20
9.8%
9 19
9.3%
5 17
8.3%
2 15
 
7.4%
3 13
 
6.4%
4 12
 
5.9%
7 10
 
4.9%
Other values (4) 10
 
4.9%
Latin
ValueCountFrequency (%)
R 1
33.3%
F 1
33.3%
E 1
33.3%
Hangul
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 207
99.0%
Hangul 2
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 40
19.3%
0 26
12.6%
1 22
10.6%
6 20
9.7%
9 19
9.2%
5 17
8.2%
2 15
 
7.2%
3 13
 
6.3%
4 12
 
5.8%
7 10
 
4.8%
Other values (7) 13
 
6.3%
Hangul
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%

Unnamed: 74
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:38:54.599296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length8.8695652
Min length3

Characters and Unicode

Total characters204
Distinct characters18
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row2015년
2nd row1월(1~6)
3rd row 193,060
4th row 880,310
5th row 291,860
ValueCountFrequency (%)
2015년 1
 
4.3%
494,450 1
 
4.3%
8,125,351 1
 
4.3%
1
 
4.3%
1,223,866 1
 
4.3%
12,465 1
 
4.3%
114,105 1
 
4.3%
452,130 1
 
4.3%
117,990 1
 
4.3%
416,390 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T09:38:54.881020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
19.6%
, 25
12.3%
1 24
11.8%
0 17
8.3%
5 15
 
7.4%
2 14
 
6.9%
3 14
 
6.9%
4 14
 
6.9%
8 10
 
4.9%
6 9
 
4.4%
Other values (8) 22
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 133
65.2%
Space Separator 40
 
19.6%
Other Punctuation 25
 
12.3%
Other Letter 2
 
1.0%
Close Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Open Punctuation 1
 
0.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 24
18.0%
0 17
12.8%
5 15
11.3%
2 14
10.5%
3 14
10.5%
4 14
10.5%
8 10
7.5%
6 9
 
6.8%
7 8
 
6.0%
9 8
 
6.0%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
년 1
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 202
99.0%
Hangul 2
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
40
19.8%
, 25
12.4%
1 24
11.9%
0 17
8.4%
5 15
 
7.4%
2 14
 
6.9%
3 14
 
6.9%
4 14
 
6.9%
8 10
 
5.0%
6 9
 
4.5%
Other values (6) 20
9.9%
Hangul
ValueCountFrequency (%)
월 1
50.0%
년 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 202
99.0%
Hangul 2
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
19.8%
, 25
12.4%
1 24
11.9%
0 17
8.4%
5 15
 
7.4%
2 14
 
6.9%
3 14
 
6.9%
4 14
 
6.9%
8 10
 
5.0%
6 9
 
4.5%
Other values (6) 20
9.9%
Hangul
ValueCountFrequency (%)
월 1
50.0%
년 1
50.0%

Unnamed: 75
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:55.027692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length8.7727273
Min length3

Characters and Unicode

Total characters193
Distinct characters17
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row1월(7~13)
2nd row 168,575
3rd row 849,145
4th row 330,630
5th row 391,750
ValueCountFrequency (%)
2
 
9.1%
526,595 1
 
4.5%
1월(7~13 1
 
4.5%
8,181,405 1
 
4.5%
15,190 1
 
4.5%
139,350 1
 
4.5%
474,165 1
 
4.5%
81,785 1
 
4.5%
545,660 1
 
4.5%
412,175 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:55.273108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
20.7%
, 24
12.4%
5 20
10.4%
1 19
9.8%
0 19
9.8%
8 13
 
6.7%
3 11
 
5.7%
4 10
 
5.2%
6 10
 
5.2%
9 9
 
4.7%
Other values (7) 18
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 123
63.7%
Space Separator 40
 
20.7%
Other Punctuation 24
 
12.4%
Dash Punctuation 2
 
1.0%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
16.3%
1 19
15.4%
0 19
15.4%
8 13
10.6%
3 11
8.9%
4 10
8.1%
6 10
8.1%
9 9
7.3%
7 7
 
5.7%
2 5
 
4.1%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
40
20.8%
, 24
12.5%
5 20
10.4%
1 19
9.9%
0 19
9.9%
8 13
 
6.8%
3 11
 
5.7%
4 10
 
5.2%
6 10
 
5.2%
9 9
 
4.7%
Other values (6) 17
8.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
20.8%
, 24
12.5%
5 20
10.4%
1 19
9.9%
0 19
9.9%
8 13
 
6.8%
3 11
 
5.7%
4 10
 
5.2%
6 10
 
5.2%
9 9
 
4.7%
Other values (6) 17
8.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 76
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:55.415977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length8.7272727
Min length3

Characters and Unicode

Total characters192
Distinct characters17
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row1월(14~20)
2nd row 137,150
3rd row 802,585
4th row 279,070
5th row 403,835
ValueCountFrequency (%)
2
 
9.1%
402,940 1
 
4.5%
1월(14~20 1
 
4.5%
6,918,665 1
 
4.5%
10,980 1
 
4.5%
121,280 1
 
4.5%
326,420 1
 
4.5%
92,855 1
 
4.5%
462,825 1
 
4.5%
360,785 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:55.930833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
20.8%
, 23
12.0%
0 20
10.4%
2 17
8.9%
5 15
 
7.8%
1 14
 
7.3%
8 11
 
5.7%
3 10
 
5.2%
4 10
 
5.2%
6 10
 
5.2%
Other values (7) 22
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 123
64.1%
Space Separator 40
 
20.8%
Other Punctuation 23
 
12.0%
Dash Punctuation 2
 
1.0%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
16.3%
2 17
13.8%
5 15
12.2%
1 14
11.4%
8 11
8.9%
3 10
8.1%
4 10
8.1%
6 10
8.1%
9 9
7.3%
7 7
 
5.7%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 191
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
40
20.9%
, 23
12.0%
0 20
10.5%
2 17
8.9%
5 15
 
7.9%
1 14
 
7.3%
8 11
 
5.8%
3 10
 
5.2%
4 10
 
5.2%
6 10
 
5.2%
Other values (6) 21
11.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 191
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
20.9%
, 23
12.0%
0 20
10.5%
2 17
8.9%
5 15
 
7.9%
1 14
 
7.3%
8 11
 
5.8%
3 10
 
5.2%
4 10
 
5.2%
6 10
 
5.2%
Other values (6) 21
11.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 77
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:56.088675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length8.5909091
Min length3

Characters and Unicode

Total characters189
Distinct characters17
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row1월(21~26)
2nd row 119,610
3rd row 593,605
4th row 216,285
5th row 256,555
ValueCountFrequency (%)
2
 
9.1%
322,305 1
 
4.5%
1월(21~26 1
 
4.5%
5,185,015 1
 
4.5%
7,025 1
 
4.5%
105,855 1
 
4.5%
225,950 1
 
4.5%
67,640 1
 
4.5%
366,990 1
 
4.5%
260,090 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:56.405219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
21.2%
5 26
13.8%
, 22
11.6%
2 16
 
8.5%
0 16
 
8.5%
1 15
 
7.9%
6 14
 
7.4%
9 11
 
5.8%
8 8
 
4.2%
3 7
 
3.7%
Other values (7) 14
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 121
64.0%
Space Separator 40
 
21.2%
Other Punctuation 22
 
11.6%
Dash Punctuation 2
 
1.1%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 26
21.5%
2 16
13.2%
0 16
13.2%
1 15
12.4%
6 14
11.6%
9 11
9.1%
8 8
 
6.6%
3 7
 
5.8%
4 5
 
4.1%
7 3
 
2.5%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 188
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
40
21.3%
5 26
13.8%
, 22
11.7%
2 16
 
8.5%
0 16
 
8.5%
1 15
 
8.0%
6 14
 
7.4%
9 11
 
5.9%
8 8
 
4.3%
3 7
 
3.7%
Other values (6) 13
 
6.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 188
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
21.3%
5 26
13.8%
, 22
11.7%
2 16
 
8.5%
0 16
 
8.5%
1 15
 
8.0%
6 14
 
7.4%
9 11
 
5.9%
8 8
 
4.3%
3 7
 
3.7%
Other values (6) 13
 
6.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 78
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:56.582121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.8636364
Min length3

Characters and Unicode

Total characters173
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row1월27일
2nd row 32,550
3rd row 163,900
4th row 56,230
5th row 59,045
ValueCountFrequency (%)
2
 
9.1%
74,525 1
 
4.5%
1월27일 1
 
4.5%
1,330,775 1
 
4.5%
3,300 1
 
4.5%
13,065 1
 
4.5%
71,535 1
 
4.5%
7,600 1
 
4.5%
97,470 1
 
4.5%
36,615 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:56.840553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
23.1%
, 22
12.7%
5 17
9.8%
0 17
9.8%
3 13
 
7.5%
1 11
 
6.4%
2 10
 
5.8%
6 10
 
5.8%
7 10
 
5.8%
9 8
 
4.6%
Other values (5) 15
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 107
61.8%
Space Separator 40
 
23.1%
Other Punctuation 22
 
12.7%
Dash Punctuation 2
 
1.2%
Other Letter 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 17
15.9%
0 17
15.9%
3 13
12.1%
1 11
10.3%
2 10
9.3%
6 10
9.3%
7 10
9.3%
9 8
7.5%
4 8
7.5%
8 3
 
2.8%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 171
98.8%
Hangul 2
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
40
23.4%
, 22
12.9%
5 17
9.9%
0 17
9.9%
3 13
 
7.6%
1 11
 
6.4%
2 10
 
5.8%
6 10
 
5.8%
7 10
 
5.8%
9 8
 
4.7%
Other values (3) 13
 
7.6%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 171
98.8%
Hangul 2
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
23.4%
, 22
12.9%
5 17
9.9%
0 17
9.9%
3 13
 
7.6%
1 11
 
6.4%
2 10
 
5.8%
6 10
 
5.8%
7 10
 
5.8%
9 8
 
4.7%
Other values (3) 13
 
7.6%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 79
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:57.009643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length7.8636364
Min length3

Characters and Unicode

Total characters173
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row1월28일
2nd row 26,505
3rd row 127,445
4th row 55,715
5th row 51,070
ValueCountFrequency (%)
2
 
9.1%
86,510 1
 
4.5%
1월28일 1
 
4.5%
1,213,780 1
 
4.5%
2,640 1
 
4.5%
12,810 1
 
4.5%
45,205 1
 
4.5%
17,615 1
 
4.5%
64,470 1
 
4.5%
72,440 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:57.254406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
23.1%
, 22
12.7%
5 16
 
9.2%
0 15
 
8.7%
1 15
 
8.7%
4 13
 
7.5%
2 12
 
6.9%
7 11
 
6.4%
6 10
 
5.8%
3 6
 
3.5%
Other values (5) 13
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 107
61.8%
Space Separator 40
 
23.1%
Other Punctuation 22
 
12.7%
Dash Punctuation 2
 
1.2%
Other Letter 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 16
15.0%
0 15
14.0%
1 15
14.0%
4 13
12.1%
2 12
11.2%
7 11
10.3%
6 10
9.3%
3 6
 
5.6%
8 6
 
5.6%
9 3
 
2.8%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 171
98.8%
Hangul 2
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
40
23.4%
, 22
12.9%
5 16
 
9.4%
0 15
 
8.8%
1 15
 
8.8%
4 13
 
7.6%
2 12
 
7.0%
7 11
 
6.4%
6 10
 
5.8%
3 6
 
3.5%
Other values (3) 11
 
6.4%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 171
98.8%
Hangul 2
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
23.4%
, 22
12.9%
5 16
 
9.4%
0 15
 
8.8%
1 15
 
8.8%
4 13
 
7.6%
2 12
 
7.0%
7 11
 
6.4%
6 10
 
5.8%
3 6
 
3.5%
Other values (3) 11
 
6.4%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 80
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:38:57.393616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length7.8181818
Min length3

Characters and Unicode

Total characters172
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row1월29일
2nd row 18,365
3rd row 130,720
4th row 47,355
5th row 43,090
ValueCountFrequency (%)
2
 
9.1%
56,415 1
 
4.5%
1월29일 1
 
4.5%
1,049,770 1
 
4.5%
550 1
 
4.5%
21,885 1
 
4.5%
49,500 1
 
4.5%
10,545 1
 
4.5%
85,025 1
 
4.5%
51,930 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:38:57.641558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
23.3%
, 21
12.2%
5 20
11.6%
0 20
11.6%
1 14
 
8.1%
4 13
 
7.6%
8 10
 
5.8%
3 9
 
5.2%
2 6
 
3.5%
9 6
 
3.5%
Other values (5) 13
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 107
62.2%
Space Separator 40
 
23.3%
Other Punctuation 21
 
12.2%
Dash Punctuation 2
 
1.2%
Other Letter 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
18.7%
0 20
18.7%
1 14
13.1%
4 13
12.1%
8 10
9.3%
3 9
8.4%
2 6
 
5.6%
9 6
 
5.6%
6 5
 
4.7%
7 4
 
3.7%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 170
98.8%
Hangul 2
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
40
23.5%
, 21
12.4%
5 20
11.8%
0 20
11.8%
1 14
 
8.2%
4 13
 
7.6%
8 10
 
5.9%
3 9
 
5.3%
2 6
 
3.5%
9 6
 
3.5%
Other values (3) 11
 
6.5%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170
98.8%
Hangul 2
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
23.5%
, 21
12.4%
5 20
11.8%
0 20
11.8%
1 14
 
8.2%
4 13
 
7.6%
8 10
 
5.9%
3 9
 
5.3%
2 6
 
3.5%
9 6
 
3.5%
Other values (3) 11
 
6.5%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 81
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:57.794996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.7
Min length7

Characters and Unicode

Total characters174
Distinct characters17
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row1월(30~31일)
2nd row 28,120
3rd row 173,090
4th row 59,260
5th row 66,200
ValueCountFrequency (%)
1월(30~31일 1
 
5.0%
28,120 1
 
5.0%
1,319,595 1
 
5.0%
1,860 1
 
5.0%
22,190 1
 
5.0%
47,590 1
 
5.0%
18,705 1
 
5.0%
100,030 1
 
5.0%
55,795 1
 
5.0%
71,115 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:58.058718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
20.7%
0 22
12.6%
, 22
12.6%
1 20
11.5%
5 13
 
7.5%
8 11
 
6.3%
3 10
 
5.7%
2 8
 
4.6%
9 8
 
4.6%
7 7
 
4.0%
Other values (7) 17
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111
63.8%
Space Separator 36
 
20.7%
Other Punctuation 22
 
12.6%
Other Letter 2
 
1.1%
Math Symbol 1
 
0.6%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22
19.8%
1 20
18.0%
5 13
11.7%
8 11
9.9%
3 10
9.0%
2 8
 
7.2%
9 8
 
7.2%
7 7
 
6.3%
6 6
 
5.4%
4 6
 
5.4%
Other Letter
ValueCountFrequency (%)
일 1
50.0%
월 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 172
98.9%
Hangul 2
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
36
20.9%
0 22
12.8%
, 22
12.8%
1 20
11.6%
5 13
 
7.6%
8 11
 
6.4%
3 10
 
5.8%
2 8
 
4.7%
9 8
 
4.7%
7 7
 
4.1%
Other values (5) 15
8.7%
Hangul
ValueCountFrequency (%)
일 1
50.0%
월 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 172
98.9%
Hangul 2
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
20.9%
0 22
12.8%
, 22
12.8%
1 20
11.6%
5 13
 
7.6%
8 11
 
6.4%
3 10
 
5.8%
2 8
 
4.7%
9 8
 
4.7%
7 7
 
4.1%
Other values (5) 15
8.7%
Hangul
ValueCountFrequency (%)
일 1
50.0%
월 1
50.0%

Unnamed: 82
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:38:58.241726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.5652174
Min length1

Characters and Unicode

Total characters220
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row1월합계
2nd row 723,935
3rd row 3,720,800
4th row 1,336,405
5th row 1,613,020
ValueCountFrequency (%)
1월합계 1
 
4.3%
1,506,900 1
 
4.3%
1,430,138,108 1
 
4.3%
33,324,356 1
 
4.3%
1
 
4.3%
1,223,866 1
 
4.3%
54,010 1
 
4.3%
550,540 1
 
4.3%
1,692,495 1
 
4.3%
414,735 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T09:38:58.558923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
18.2%
, 36
16.4%
3 22
10.0%
1 21
9.5%
0 21
9.5%
5 19
8.6%
4 12
 
5.5%
2 11
 
5.0%
8 10
 
4.5%
6 10
 
4.5%
Other values (6) 18
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 140
63.6%
Space Separator 40
 
18.2%
Other Punctuation 36
 
16.4%
Other Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 22
15.7%
1 21
15.0%
0 21
15.0%
5 19
13.6%
4 12
8.6%
2 11
7.9%
8 10
7.1%
6 10
7.1%
7 8
 
5.7%
9 6
 
4.3%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 217
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
40
18.4%
, 36
16.6%
3 22
10.1%
1 21
9.7%
0 21
9.7%
5 19
8.8%
4 12
 
5.5%
2 11
 
5.1%
8 10
 
4.6%
6 10
 
4.6%
Other values (3) 15
 
6.9%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 217
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
18.4%
, 36
16.6%
3 22
10.1%
1 21
9.7%
0 21
9.7%
5 19
8.8%
4 12
 
5.5%
2 11
 
5.1%
8 10
 
4.6%
6 10
 
4.6%
Other values (3) 15
 
6.9%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 83
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:58.748233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.05
Min length8

Characters and Unicode

Total characters181
Distinct characters17
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월(1~3일)
2nd row 85,960
3rd row 581,930
4th row 217,495
5th row 170,770
ValueCountFrequency (%)
2월(1~3일 1
 
5.0%
85,960 1
 
5.0%
4,543,105 1
 
5.0%
10,170 1
 
5.0%
62,335 1
 
5.0%
308,000 1
 
5.0%
32,705 1
 
5.0%
263,265 1
 
5.0%
182,685 1
 
5.0%
226,470 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:59.045850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
19.9%
, 22
12.2%
0 19
10.5%
1 16
8.8%
5 16
8.8%
3 12
 
6.6%
8 11
 
6.1%
7 11
 
6.1%
2 11
 
6.1%
6 10
 
5.5%
Other values (7) 17
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 118
65.2%
Space Separator 36
 
19.9%
Other Punctuation 22
 
12.2%
Other Letter 2
 
1.1%
Close Punctuation 1
 
0.6%
Math Symbol 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
16.1%
1 16
13.6%
5 16
13.6%
3 12
10.2%
8 11
9.3%
7 11
9.3%
2 11
9.3%
6 10
8.5%
4 7
 
5.9%
9 5
 
4.2%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 179
98.9%
Hangul 2
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
36
20.1%
, 22
12.3%
0 19
10.6%
1 16
8.9%
5 16
8.9%
3 12
 
6.7%
8 11
 
6.1%
7 11
 
6.1%
2 11
 
6.1%
6 10
 
5.6%
Other values (5) 15
8.4%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 179
98.9%
Hangul 2
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
20.1%
, 22
12.3%
0 19
10.6%
1 16
8.9%
5 16
8.9%
3 12
 
6.7%
8 11
 
6.1%
7 11
 
6.1%
2 11
 
6.1%
6 10
 
5.6%
Other values (5) 15
8.4%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 84
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:59.203476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.45
Min length4

Characters and Unicode

Total characters169
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월4일
2nd row 27,655
3rd row 171,485
4th row 64,855
5th row 53,885
ValueCountFrequency (%)
2월4일 1
 
5.0%
27,655 1
 
5.0%
1,693,610 1
 
5.0%
2,550 1
 
5.0%
22,145 1
 
5.0%
52,350 1
 
5.0%
12,555 1
 
5.0%
147,260 1
 
5.0%
61,300 1
 
5.0%
91,800 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:59.448153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
21.3%
5 24
14.2%
, 22
13.0%
1 13
 
7.7%
2 11
 
6.5%
0 11
 
6.5%
3 10
 
5.9%
4 9
 
5.3%
6 9
 
5.3%
8 9
 
5.3%
Other values (4) 15
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 109
64.5%
Space Separator 36
 
21.3%
Other Punctuation 22
 
13.0%
Other Letter 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 24
22.0%
1 13
11.9%
2 11
10.1%
0 11
10.1%
3 10
9.2%
4 9
 
8.3%
6 9
 
8.3%
8 9
 
8.3%
7 7
 
6.4%
9 6
 
5.5%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 167
98.8%
Hangul 2
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
36
21.6%
5 24
14.4%
, 22
13.2%
1 13
 
7.8%
2 11
 
6.6%
0 11
 
6.6%
3 10
 
6.0%
4 9
 
5.4%
6 9
 
5.4%
8 9
 
5.4%
Other values (2) 13
 
7.8%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 167
98.8%
Hangul 2
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
21.6%
5 24
14.4%
, 22
13.2%
1 13
 
7.8%
2 11
 
6.6%
0 11
 
6.6%
3 10
 
6.0%
4 9
 
5.4%
6 9
 
5.4%
8 9
 
5.4%
Other values (2) 13
 
7.8%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 85
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:38:59.599067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.45
Min length4

Characters and Unicode

Total characters169
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월5일
2nd row 20,570
3rd row 183,255
4th row 54,920
5th row 41,895
ValueCountFrequency (%)
2월5일 1
 
5.0%
20,570 1
 
5.0%
1,458,725 1
 
5.0%
2,035 1
 
5.0%
22,195 1
 
5.0%
68,000 1
 
5.0%
11,575 1
 
5.0%
95,630 1
 
5.0%
116,740 1
 
5.0%
105,100 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:38:59.856899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
21.3%
5 22
13.0%
, 22
13.0%
1 14
 
8.3%
0 13
 
7.7%
2 12
 
7.1%
3 12
 
7.1%
4 8
 
4.7%
6 8
 
4.7%
7 7
 
4.1%
Other values (4) 15
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 109
64.5%
Space Separator 36
 
21.3%
Other Punctuation 22
 
13.0%
Other Letter 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 22
20.2%
1 14
12.8%
0 13
11.9%
2 12
11.0%
3 12
11.0%
4 8
 
7.3%
6 8
 
7.3%
7 7
 
6.4%
8 7
 
6.4%
9 6
 
5.5%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 167
98.8%
Hangul 2
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
36
21.6%
5 22
13.2%
, 22
13.2%
1 14
 
8.4%
0 13
 
7.8%
2 12
 
7.2%
3 12
 
7.2%
4 8
 
4.8%
6 8
 
4.8%
7 7
 
4.2%
Other values (2) 13
 
7.8%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 167
98.8%
Hangul 2
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
21.6%
5 22
13.2%
, 22
13.2%
1 14
 
8.4%
0 13
 
7.8%
2 12
 
7.2%
3 12
 
7.2%
4 8
 
4.8%
6 8
 
4.8%
7 7
 
4.2%
Other values (2) 13
 
7.8%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 86
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:00.047233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length8.4
Min length4

Characters and Unicode

Total characters168
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월6일
2nd row 27,690
3rd row 132,965
4th row 67,015
5th row 65,645
ValueCountFrequency (%)
2월6일 1
 
5.0%
27,690 1
 
5.0%
1,598,875 1
 
5.0%
1,540 1
 
5.0%
32,720 1
 
5.0%
81,285 1
 
5.0%
7,575 1
 
5.0%
108,285 1
 
5.0%
50,895 1
 
5.0%
91,280 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:00.330338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
21.4%
, 22
13.1%
1 15
8.9%
5 15
8.9%
0 14
 
8.3%
2 12
 
7.1%
7 10
 
6.0%
6 9
 
5.4%
9 9
 
5.4%
8 9
 
5.4%
Other values (4) 17
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
64.3%
Space Separator 36
 
21.4%
Other Punctuation 22
 
13.1%
Other Letter 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
13.9%
5 15
13.9%
0 14
13.0%
2 12
11.1%
7 10
9.3%
6 9
8.3%
9 9
8.3%
8 9
8.3%
4 8
7.4%
3 7
6.5%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 166
98.8%
Hangul 2
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
36
21.7%
, 22
13.3%
1 15
9.0%
5 15
9.0%
0 14
 
8.4%
2 12
 
7.2%
7 10
 
6.0%
6 9
 
5.4%
9 9
 
5.4%
8 9
 
5.4%
Other values (2) 15
9.0%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 166
98.8%
Hangul 2
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
21.7%
, 22
13.3%
1 15
9.0%
5 15
9.0%
0 14
 
8.4%
2 12
 
7.2%
7 10
 
6.0%
6 9
 
5.4%
9 9
 
5.4%
8 9
 
5.4%
Other values (2) 15
9.0%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 87
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:00.505816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length8.85
Min length7

Characters and Unicode

Total characters177
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월(7~9)
2nd row 61,110
3rd row 308,335
4th row 173,985
5th row 134,645
ValueCountFrequency (%)
2월(7~9 1
 
5.0%
61,110 1
 
5.0%
2,652,315 1
 
5.0%
3,415 1
 
5.0%
43,535 1
 
5.0%
98,345 1
 
5.0%
13,450 1
 
5.0%
171,435 1
 
5.0%
100,720 1
 
5.0%
142,035 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:00.818535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
20.3%
, 22
12.4%
3 19
10.7%
1 18
10.2%
5 16
9.0%
0 14
 
7.9%
4 13
 
7.3%
2 9
 
5.1%
7 8
 
4.5%
6 8
 
4.5%
Other values (6) 14
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
65.0%
Space Separator 36
 
20.3%
Other Punctuation 22
 
12.4%
Other Letter 1
 
0.6%
Open Punctuation 1
 
0.6%
Math Symbol 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 19
16.5%
1 18
15.7%
5 16
13.9%
0 14
12.2%
4 13
11.3%
2 9
7.8%
7 8
7.0%
6 8
7.0%
8 6
 
5.2%
9 4
 
3.5%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 176
99.4%
Hangul 1
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
36
20.5%
, 22
12.5%
3 19
10.8%
1 18
10.2%
5 16
9.1%
0 14
 
8.0%
4 13
 
7.4%
2 9
 
5.1%
7 8
 
4.5%
6 8
 
4.5%
Other values (5) 13
 
7.4%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 176
99.4%
Hangul 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
20.5%
, 22
12.5%
3 19
10.8%
1 18
10.2%
5 16
9.1%
0 14
 
8.0%
4 13
 
7.4%
2 9
 
5.1%
7 8
 
4.5%
6 8
 
4.5%
Other values (5) 13
 
7.4%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 88
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:01.030574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length8.6
Min length5

Characters and Unicode

Total characters172
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월10일
2nd row 28,020
3rd row 257,315
4th row 106,060
5th row 60,845
ValueCountFrequency (%)
2월10일 1
 
5.0%
28,020 1
 
5.0%
1,935,740 1
 
5.0%
2,645 1
 
5.0%
30,600 1
 
5.0%
55,440 1
 
5.0%
23,950 1
 
5.0%
145,625 1
 
5.0%
62,665 1
 
5.0%
122,305 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:01.313008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
20.9%
, 22
12.8%
0 21
12.2%
5 19
11.0%
2 17
9.9%
4 12
 
7.0%
1 9
 
5.2%
3 9
 
5.2%
6 9
 
5.2%
7 7
 
4.1%
Other values (4) 11
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 112
65.1%
Space Separator 36
 
20.9%
Other Punctuation 22
 
12.8%
Other Letter 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
18.8%
5 19
17.0%
2 17
15.2%
4 12
10.7%
1 9
8.0%
3 9
8.0%
6 9
8.0%
7 7
 
6.2%
8 5
 
4.5%
9 4
 
3.6%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 170
98.8%
Hangul 2
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
36
21.2%
, 22
12.9%
0 21
12.4%
5 19
11.2%
2 17
10.0%
4 12
 
7.1%
1 9
 
5.3%
3 9
 
5.3%
6 9
 
5.3%
7 7
 
4.1%
Other values (2) 9
 
5.3%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170
98.8%
Hangul 2
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
21.2%
, 22
12.9%
0 21
12.4%
5 19
11.2%
2 17
10.0%
4 12
 
7.1%
1 9
 
5.3%
3 9
 
5.3%
6 9
 
5.3%
7 7
 
4.1%
Other values (2) 9
 
5.3%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 89
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:01.468512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length8.45
Min length5

Characters and Unicode

Total characters169
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월11일
2nd row 29,145
3rd row 190,815
4th row 110,205
5th row 94,285
ValueCountFrequency (%)
2월11일 1
 
5.0%
29,145 1
 
5.0%
1,917,600 1
 
5.0%
730 1
 
5.0%
43,670 1
 
5.0%
57,750 1
 
5.0%
13,735 1
 
5.0%
167,765 1
 
5.0%
78,875 1
 
5.0%
90,445 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:01.705789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
21.3%
, 21
12.4%
5 18
10.7%
1 17
10.1%
0 17
10.1%
7 13
 
7.7%
9 10
 
5.9%
4 10
 
5.9%
6 8
 
4.7%
8 6
 
3.6%
Other values (4) 13
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110
65.1%
Space Separator 36
 
21.3%
Other Punctuation 21
 
12.4%
Other Letter 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 18
16.4%
1 17
15.5%
0 17
15.5%
7 13
11.8%
9 10
9.1%
4 10
9.1%
6 8
7.3%
8 6
 
5.5%
3 6
 
5.5%
2 5
 
4.5%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 167
98.8%
Hangul 2
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
36
21.6%
, 21
12.6%
5 18
10.8%
1 17
10.2%
0 17
10.2%
7 13
 
7.8%
9 10
 
6.0%
4 10
 
6.0%
6 8
 
4.8%
8 6
 
3.6%
Other values (2) 11
 
6.6%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 167
98.8%
Hangul 2
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
21.6%
, 21
12.6%
5 18
10.8%
1 17
10.2%
0 17
10.2%
7 13
 
7.8%
9 10
 
6.0%
4 10
 
6.0%
6 8
 
4.8%
8 6
 
3.6%
Other values (2) 11
 
6.6%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 90
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:01.858591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length8.55
Min length5

Characters and Unicode

Total characters171
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월12일
2nd row 33,885
3rd row 215,150
4th row 123,775
5th row 85,565
ValueCountFrequency (%)
2월12일 1
 
5.0%
33,885 1
 
5.0%
1,977,235 1
 
5.0%
4,040 1
 
5.0%
38,940 1
 
5.0%
47,860 1
 
5.0%
11,520 1
 
5.0%
166,820 1
 
5.0%
155,330 1
 
5.0%
99,715 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:02.104993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
21.1%
, 22
12.9%
5 19
11.1%
1 16
9.4%
3 13
 
7.6%
0 13
 
7.6%
2 11
 
6.4%
8 11
 
6.4%
7 8
 
4.7%
4 8
 
4.7%
Other values (4) 14
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111
64.9%
Space Separator 36
 
21.1%
Other Punctuation 22
 
12.9%
Other Letter 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 19
17.1%
1 16
14.4%
3 13
11.7%
0 13
11.7%
2 11
9.9%
8 11
9.9%
7 8
7.2%
4 8
7.2%
6 7
 
6.3%
9 5
 
4.5%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 169
98.8%
Hangul 2
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
36
21.3%
, 22
13.0%
5 19
11.2%
1 16
9.5%
3 13
 
7.7%
0 13
 
7.7%
2 11
 
6.5%
8 11
 
6.5%
7 8
 
4.7%
4 8
 
4.7%
Other values (2) 12
 
7.1%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 169
98.8%
Hangul 2
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
21.3%
, 22
13.0%
5 19
11.2%
1 16
9.5%
3 13
 
7.7%
0 13
 
7.7%
2 11
 
6.5%
8 11
 
6.5%
7 8
 
4.7%
4 8
 
4.7%
Other values (2) 12
 
7.1%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 91
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:02.264772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length8.9
Min length7

Characters and Unicode

Total characters178
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월(13~15)
2nd row 31,250
3rd row 228,725
4th row 164,080
5th row 111,450
ValueCountFrequency (%)
2월(13~15 1
 
5.0%
31,250 1
 
5.0%
2,227,650 1
 
5.0%
3,755 1
 
5.0%
50,630 1
 
5.0%
61,120 1
 
5.0%
20,995 1
 
5.0%
171,205 1
 
5.0%
118,370 1
 
5.0%
115,715 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:02.543120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
20.2%
1 22
12.4%
, 22
12.4%
5 20
11.2%
2 18
10.1%
0 16
9.0%
3 8
 
4.5%
6 8
 
4.5%
7 7
 
3.9%
4 7
 
3.9%
Other values (6) 14
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 116
65.2%
Space Separator 36
 
20.2%
Other Punctuation 22
 
12.4%
Other Letter 1
 
0.6%
Open Punctuation 1
 
0.6%
Math Symbol 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 22
19.0%
5 20
17.2%
2 18
15.5%
0 16
13.8%
3 8
 
6.9%
6 8
 
6.9%
7 7
 
6.0%
4 7
 
6.0%
8 5
 
4.3%
9 5
 
4.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 177
99.4%
Hangul 1
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
36
20.3%
1 22
12.4%
, 22
12.4%
5 20
11.3%
2 18
10.2%
0 16
9.0%
3 8
 
4.5%
6 8
 
4.5%
7 7
 
4.0%
4 7
 
4.0%
Other values (5) 13
 
7.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 177
99.4%
Hangul 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
20.3%
1 22
12.4%
, 22
12.4%
5 20
11.3%
2 18
10.2%
0 16
9.0%
3 8
 
4.5%
6 8
 
4.5%
7 7
 
4.0%
4 7
 
4.0%
Other values (5) 13
 
7.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 92
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:02.732075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9
Min length5

Characters and Unicode

Total characters180
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월16일
2nd row 107,320
3rd row 652,415
4th row 505,985
5th row 245,070
ValueCountFrequency (%)
2월16일 1
 
5.0%
107,320 1
 
5.0%
5,255,060 1
 
5.0%
12,930 1
 
5.0%
101,750 1
 
5.0%
198,055 1
 
5.0%
46,025 1
 
5.0%
299,755 1
 
5.0%
134,300 1
 
5.0%
261,765 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:03.009606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
20.0%
5 26
14.4%
, 22
12.2%
0 18
10.0%
1 14
 
7.8%
2 12
 
6.7%
4 10
 
5.6%
6 9
 
5.0%
7 9
 
5.0%
3 9
 
5.0%
Other values (4) 15
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
66.7%
Space Separator 36
 
20.0%
Other Punctuation 22
 
12.2%
Other Letter 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 26
21.7%
0 18
15.0%
1 14
11.7%
2 12
10.0%
4 10
 
8.3%
6 9
 
7.5%
7 9
 
7.5%
3 9
 
7.5%
9 8
 
6.7%
8 5
 
4.2%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 178
98.9%
Hangul 2
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
36
20.2%
5 26
14.6%
, 22
12.4%
0 18
10.1%
1 14
 
7.9%
2 12
 
6.7%
4 10
 
5.6%
6 9
 
5.1%
7 9
 
5.1%
3 9
 
5.1%
Other values (2) 13
 
7.3%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 178
98.9%
Hangul 2
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
20.2%
5 26
14.6%
, 22
12.4%
0 18
10.1%
1 14
 
7.9%
2 12
 
6.7%
4 10
 
5.6%
6 9
 
5.1%
7 9
 
5.1%
3 9
 
5.1%
Other values (2) 13
 
7.3%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 93
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:03.216805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length8.85
Min length5

Characters and Unicode

Total characters177
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월17일
2nd row 68,700
3rd row 345,780
4th row 300,385
5th row 261,740
ValueCountFrequency (%)
2월17일 1
 
5.0%
68,700 1
 
5.0%
3,548,520 1
 
5.0%
10,270 1
 
5.0%
77,750 1
 
5.0%
118,800 1
 
5.0%
26,155 1
 
5.0%
173,735 1
 
5.0%
99,910 1
 
5.0%
172,745 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:03.482280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
20.3%
, 22
12.4%
5 18
10.2%
0 17
9.6%
1 16
9.0%
7 15
8.5%
4 12
 
6.8%
3 11
 
6.2%
2 9
 
5.1%
8 8
 
4.5%
Other values (4) 13
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 117
66.1%
Space Separator 36
 
20.3%
Other Punctuation 22
 
12.4%
Other Letter 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 18
15.4%
0 17
14.5%
1 16
13.7%
7 15
12.8%
4 12
10.3%
3 11
9.4%
2 9
7.7%
8 8
6.8%
6 6
 
5.1%
9 5
 
4.3%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 175
98.9%
Hangul 2
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
36
20.6%
, 22
12.6%
5 18
10.3%
0 17
9.7%
1 16
9.1%
7 15
8.6%
4 12
 
6.9%
3 11
 
6.3%
2 9
 
5.1%
8 8
 
4.6%
Other values (2) 11
 
6.3%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 175
98.9%
Hangul 2
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
20.6%
, 22
12.6%
5 18
10.3%
0 17
9.7%
1 16
9.1%
7 15
8.6%
4 12
 
6.9%
3 11
 
6.3%
2 9
 
5.1%
8 8
 
4.6%
Other values (2) 11
 
6.3%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Unnamed: 94
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:03.633720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.9
Min length8

Characters and Unicode

Total characters198
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월(18~24)
2nd row 419,740
3rd row 2,212,025
4th row 1,275,715
5th row 949,060
ValueCountFrequency (%)
2월(18~24 1
 
5.0%
419,740 1
 
5.0%
15,545,030 1
 
5.0%
52,310 1
 
5.0%
381,955 1
 
5.0%
598,455 1
 
5.0%
105,185 1
 
5.0%
758,275 1
 
5.0%
492,305 1
 
5.0%
1,063,770 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:03.893432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
18.2%
, 28
14.1%
5 23
11.6%
1 20
10.1%
0 18
9.1%
2 14
 
7.1%
4 13
 
6.6%
7 11
 
5.6%
8 10
 
5.1%
9 10
 
5.1%
Other values (6) 15
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130
65.7%
Space Separator 36
 
18.2%
Other Punctuation 28
 
14.1%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 23
17.7%
1 20
15.4%
0 18
13.8%
2 14
10.8%
4 13
10.0%
7 11
8.5%
8 10
7.7%
9 10
7.7%
3 8
 
6.2%
6 3
 
2.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 197
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
18.3%
, 28
14.2%
5 23
11.7%
1 20
10.2%
0 18
9.1%
2 14
 
7.1%
4 13
 
6.6%
7 11
 
5.6%
8 10
 
5.1%
9 10
 
5.1%
Other values (5) 14
 
7.1%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 197
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
18.3%
, 28
14.2%
5 23
11.7%
1 20
10.2%
0 18
9.1%
2 14
 
7.1%
4 13
 
6.6%
7 11
 
5.6%
8 10
 
5.1%
9 10
 
5.1%
Other values (5) 14
 
7.1%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 95
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:04.047777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.5
Min length8

Characters and Unicode

Total characters190
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row2월(25~28)
2nd row 209,885
3rd row 1,334,660
4th row 678,055
5th row 452,805
ValueCountFrequency (%)
2월(25~28 1
 
5.0%
209,885 1
 
5.0%
9,889,495 1
 
5.0%
20,430 1
 
5.0%
252,820 1
 
5.0%
317,360 1
 
5.0%
66,095 1
 
5.0%
537,250 1
 
5.0%
341,650 1
 
5.0%
606,875 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:04.312414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
18.9%
, 25
13.2%
5 22
11.6%
0 18
9.5%
8 16
8.4%
2 12
 
6.3%
6 12
 
6.3%
3 11
 
5.8%
4 11
 
5.8%
1 10
 
5.3%
Other values (6) 17
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125
65.8%
Space Separator 36
 
18.9%
Other Punctuation 25
 
13.2%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 22
17.6%
0 18
14.4%
8 16
12.8%
2 12
9.6%
6 12
9.6%
3 11
8.8%
4 11
8.8%
1 10
8.0%
9 7
 
5.6%
7 6
 
4.8%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 189
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
19.0%
, 25
13.2%
5 22
11.6%
0 18
9.5%
8 16
8.5%
2 12
 
6.3%
6 12
 
6.3%
3 11
 
5.8%
4 11
 
5.8%
1 10
 
5.3%
Other values (5) 16
8.5%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 189
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
19.0%
, 25
13.2%
5 22
11.6%
0 18
9.5%
8 16
8.5%
2 12
 
6.3%
6 12
 
6.3%
3 11
 
5.8%
4 11
 
5.8%
1 10
 
5.3%
Other values (5) 16
8.5%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 96
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:39:04.458273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.9565217
Min length3

Characters and Unicode

Total characters229
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row2월합계
2nd row 1,150,930
3rd row 6,814,855
4th row 3,842,530
5th row 2,727,660
ValueCountFrequency (%)
2
 
8.7%
2월합계 1
 
4.3%
3,190,020 1
 
4.3%
56,975,855 1
 
4.3%
2,732,895 1
 
4.3%
126,820 1
 
4.3%
1,161,045 1
 
4.3%
2,062,820 1
 
4.3%
391,520 1
 
4.3%
3,206,305 1
 
4.3%
Other values (12) 12
52.2%
2024-03-14T09:39:04.722748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
18.3%
, 39
17.0%
2 21
9.2%
0 21
9.2%
1 20
8.7%
5 18
7.9%
9 13
 
5.7%
3 13
 
5.7%
6 11
 
4.8%
4 11
 
4.8%
Other values (6) 20
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 143
62.4%
Space Separator 42
 
18.3%
Other Punctuation 39
 
17.0%
Other Letter 3
 
1.3%
Dash Punctuation 2
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 21
14.7%
0 21
14.7%
1 20
14.0%
5 18
12.6%
9 13
9.1%
3 13
9.1%
6 11
7.7%
4 11
7.7%
8 9
6.3%
7 6
 
4.2%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 226
98.7%
Hangul 3
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
42
18.6%
, 39
17.3%
2 21
9.3%
0 21
9.3%
1 20
8.8%
5 18
8.0%
9 13
 
5.8%
3 13
 
5.8%
6 11
 
4.9%
4 11
 
4.9%
Other values (3) 17
7.5%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 226
98.7%
Hangul 3
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
18.6%
, 39
17.3%
2 21
9.3%
0 21
9.3%
1 20
8.8%
5 18
8.0%
9 13
 
5.8%
3 13
 
5.8%
6 11
 
4.9%
4 11
 
4.9%
Other values (3) 17
7.5%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 97
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:04.895823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.05
Min length8

Characters and Unicode

Total characters201
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row3월(1~10)
2nd row 462,795
3rd row 2,534,350
4th row 1,553,000
5th row 774,090
ValueCountFrequency (%)
3월(1~10 1
 
5.0%
462,795 1
 
5.0%
20,906,570 1
 
5.0%
57,885 1
 
5.0%
454,585 1
 
5.0%
856,025 1
 
5.0%
211,105 1
 
5.0%
1,081,000 1
 
5.0%
820,915 1
 
5.0%
1,134,780 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:05.168796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
17.9%
, 30
14.9%
0 27
13.4%
5 24
11.9%
1 18
9.0%
7 11
 
5.5%
8 11
 
5.5%
2 10
 
5.0%
3 8
 
4.0%
6 8
 
4.0%
Other values (6) 18
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 131
65.2%
Space Separator 36
 
17.9%
Other Punctuation 30
 
14.9%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
20.6%
5 24
18.3%
1 18
13.7%
7 11
8.4%
8 11
8.4%
2 10
 
7.6%
3 8
 
6.1%
6 8
 
6.1%
4 7
 
5.3%
9 7
 
5.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 200
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
18.0%
, 30
15.0%
0 27
13.5%
5 24
12.0%
1 18
9.0%
7 11
 
5.5%
8 11
 
5.5%
2 10
 
5.0%
3 8
 
4.0%
6 8
 
4.0%
Other values (5) 17
8.5%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
18.0%
, 30
15.0%
0 27
13.5%
5 24
12.0%
1 18
9.0%
7 11
 
5.5%
8 11
 
5.5%
2 10
 
5.0%
3 8
 
4.0%
6 8
 
4.0%
Other values (5) 17
8.5%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 98
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:05.387258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.6
Min length8

Characters and Unicode

Total characters192
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row3월(11~17)
2nd row 241,495
3rd row 1,224,125
4th row 748,635
5th row 427,975
ValueCountFrequency (%)
3월(11~17 1
 
5.0%
241,495 1
 
5.0%
10,209,350 1
 
5.0%
32,490 1
 
5.0%
206,920 1
 
5.0%
347,775 1
 
5.0%
107,805 1
 
5.0%
577,885 1
 
5.0%
430,530 1
 
5.0%
584,970 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:05.688946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
18.8%
, 25
13.0%
5 18
9.4%
7 17
8.9%
2 16
8.3%
1 15
7.8%
0 14
 
7.3%
3 13
 
6.8%
4 11
 
5.7%
9 10
 
5.2%
Other values (6) 17
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 127
66.1%
Space Separator 36
 
18.8%
Other Punctuation 25
 
13.0%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 18
14.2%
7 17
13.4%
2 16
12.6%
1 15
11.8%
0 14
11.0%
3 13
10.2%
4 11
8.7%
9 10
7.9%
8 8
6.3%
6 5
 
3.9%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 191
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
18.8%
, 25
13.1%
5 18
9.4%
7 17
8.9%
2 16
8.4%
1 15
7.9%
0 14
 
7.3%
3 13
 
6.8%
4 11
 
5.8%
9 10
 
5.2%
Other values (5) 16
8.4%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 191
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
18.8%
, 25
13.1%
5 18
9.4%
7 17
8.9%
2 16
8.4%
1 15
7.9%
0 14
 
7.3%
3 13
 
6.8%
4 11
 
5.8%
9 10
 
5.2%
Other values (5) 16
8.4%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 99
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:05.843393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.55
Min length8

Characters and Unicode

Total characters191
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row3월(18~24)
2nd row 176,595
3rd row 1,056,100
4th row 613,170
5th row 321,235
ValueCountFrequency (%)
3월(18~24 1
 
5.0%
176,595 1
 
5.0%
8,417,030 1
 
5.0%
23,025 1
 
5.0%
171,050 1
 
5.0%
360,490 1
 
5.0%
112,715 1
 
5.0%
512,750 1
 
5.0%
309,570 1
 
5.0%
412,640 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:06.102322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
18.8%
, 25
13.1%
1 21
11.0%
0 21
11.0%
5 17
8.9%
2 16
8.4%
3 14
 
7.3%
6 10
 
5.2%
7 9
 
4.7%
4 8
 
4.2%
Other values (6) 14
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 126
66.0%
Space Separator 36
 
18.8%
Other Punctuation 25
 
13.1%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
16.7%
0 21
16.7%
5 17
13.5%
2 16
12.7%
3 14
11.1%
6 10
7.9%
7 9
7.1%
4 8
 
6.3%
9 7
 
5.6%
8 3
 
2.4%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 190
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
18.9%
, 25
13.2%
1 21
11.1%
0 21
11.1%
5 17
8.9%
2 16
8.4%
3 14
 
7.4%
6 10
 
5.3%
7 9
 
4.7%
4 8
 
4.2%
Other values (5) 13
 
6.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
18.9%
, 25
13.2%
1 21
11.1%
0 21
11.1%
5 17
8.9%
2 16
8.4%
3 14
 
7.4%
6 10
 
5.3%
7 9
 
4.7%
4 8
 
4.2%
Other values (5) 13
 
6.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 100
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:06.253227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.35
Min length8

Characters and Unicode

Total characters187
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row3월(25~31)
2nd row 182,510
3rd row 919,250
4th row 497,430
5th row 308,190
ValueCountFrequency (%)
3월(25~31 1
 
5.0%
182,510 1
 
5.0%
8,040,330 1
 
5.0%
18,905 1
 
5.0%
176,865 1
 
5.0%
328,650 1
 
5.0%
108,760 1
 
5.0%
442,625 1
 
5.0%
275,690 1
 
5.0%
512,775 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:06.512993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
19.3%
, 23
12.3%
5 18
9.6%
0 17
9.1%
3 16
8.6%
2 12
 
6.4%
4 12
 
6.4%
1 11
 
5.9%
9 10
 
5.3%
7 10
 
5.3%
Other values (6) 22
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
66.3%
Space Separator 36
 
19.3%
Other Punctuation 23
 
12.3%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 18
14.5%
0 17
13.7%
3 16
12.9%
2 12
9.7%
4 12
9.7%
1 11
8.9%
9 10
8.1%
7 10
8.1%
8 9
7.3%
6 9
7.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 186
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
19.4%
, 23
12.4%
5 18
9.7%
0 17
9.1%
3 16
8.6%
2 12
 
6.5%
4 12
 
6.5%
1 11
 
5.9%
9 10
 
5.4%
7 10
 
5.4%
Other values (5) 21
11.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 186
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
19.4%
, 23
12.4%
5 18
9.7%
0 17
9.1%
3 16
8.6%
2 12
 
6.5%
4 12
 
6.5%
1 11
 
5.9%
9 10
 
5.4%
7 10
 
5.4%
Other values (5) 21
11.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 101
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:39:06.692390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.272727
Min length3

Characters and Unicode

Total characters226
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row3월합계
2nd row 1,063,395
3rd row 5,733,825
4th row 3,412,235
5th row 1,831,490
ValueCountFrequency (%)
3월합계 1
 
4.5%
1,063,395 1
 
4.5%
48,583,279 1
 
4.5%
1
 
4.5%
1,009,999 1
 
4.5%
132,305 1
 
4.5%
1,009,420 1
 
4.5%
1,892,940 1
 
4.5%
540,385 1
 
4.5%
2,614,260 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:39:06.969870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
17.7%
, 39
17.3%
3 20
8.8%
0 17
7.5%
5 17
7.5%
1 16
 
7.1%
2 16
 
7.1%
9 15
 
6.6%
4 13
 
5.8%
6 12
 
5.3%
Other values (6) 21
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 143
63.3%
Space Separator 40
 
17.7%
Other Punctuation 39
 
17.3%
Other Letter 3
 
1.3%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 20
14.0%
0 17
11.9%
5 17
11.9%
1 16
11.2%
2 16
11.2%
9 15
10.5%
4 13
9.1%
6 12
8.4%
8 9
6.3%
7 8
 
5.6%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 223
98.7%
Hangul 3
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
40
17.9%
, 39
17.5%
3 20
9.0%
0 17
7.6%
5 17
7.6%
1 16
 
7.2%
2 16
 
7.2%
9 15
 
6.7%
4 13
 
5.8%
6 12
 
5.4%
Other values (3) 18
8.1%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 223
98.7%
Hangul 3
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
17.9%
, 39
17.5%
3 20
9.0%
0 17
7.6%
5 17
7.6%
1 16
 
7.2%
2 16
 
7.2%
9 15
 
6.7%
4 13
 
5.8%
6 12
 
5.4%
Other values (3) 18
8.1%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 102
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:07.146310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.45
Min length7

Characters and Unicode

Total characters189
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row4월(1~7)
2nd row 197,075
3rd row 1,082,480
4th row 574,330
5th row 287,210
ValueCountFrequency (%)
4월(1~7 1
 
5.0%
197,075 1
 
5.0%
9,380,700 1
 
5.0%
24,640 1
 
5.0%
196,490 1
 
5.0%
391,855 1
 
5.0%
118,235 1
 
5.0%
571,470 1
 
5.0%
401,130 1
 
5.0%
461,180 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:07.448475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
19.0%
, 25
13.2%
0 22
11.6%
1 18
9.5%
4 14
 
7.4%
3 14
 
7.4%
7 13
 
6.9%
5 12
 
6.3%
8 10
 
5.3%
2 9
 
4.8%
Other values (6) 16
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
65.6%
Space Separator 36
 
19.0%
Other Punctuation 25
 
13.2%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22
17.7%
1 18
14.5%
4 14
11.3%
3 14
11.3%
7 13
10.5%
5 12
9.7%
8 10
8.1%
2 9
7.3%
9 8
 
6.5%
6 4
 
3.2%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 188
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
19.1%
, 25
13.3%
0 22
11.7%
1 18
9.6%
4 14
 
7.4%
3 14
 
7.4%
7 13
 
6.9%
5 12
 
6.4%
8 10
 
5.3%
2 9
 
4.8%
Other values (5) 15
8.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 188
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
19.1%
, 25
13.3%
0 22
11.7%
1 18
9.6%
4 14
 
7.4%
3 14
 
7.4%
7 13
 
6.9%
5 12
 
6.4%
8 10
 
5.3%
2 9
 
4.8%
Other values (5) 15
8.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 103
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:07.634378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.35
Min length8

Characters and Unicode

Total characters187
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row4월(8~14)
2nd row 138,350
3rd row 830,640
4th row 453,250
5th row 302,345
ValueCountFrequency (%)
4월(8~14 1
 
5.0%
138,350 1
 
5.0%
7,900,145 1
 
5.0%
371,470 1
 
5.0%
311,755 1
 
5.0%
25,920 1
 
5.0%
89,325 1
 
5.0%
533,435 1
 
5.0%
400,920 1
 
5.0%
356,775 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:07.883248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
19.3%
, 24
12.8%
5 19
10.2%
0 17
9.1%
3 16
8.6%
4 14
 
7.5%
1 13
 
7.0%
7 12
 
6.4%
8 10
 
5.3%
2 9
 
4.8%
Other values (6) 17
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 123
65.8%
Space Separator 36
 
19.3%
Other Punctuation 24
 
12.8%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 19
15.4%
0 17
13.8%
3 16
13.0%
4 14
11.4%
1 13
10.6%
7 12
9.8%
8 10
8.1%
2 9
7.3%
9 9
7.3%
6 4
 
3.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 186
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
19.4%
, 24
12.9%
5 19
10.2%
0 17
9.1%
3 16
8.6%
4 14
 
7.5%
1 13
 
7.0%
7 12
 
6.5%
8 10
 
5.4%
2 9
 
4.8%
Other values (5) 16
8.6%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 186
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
19.4%
, 24
12.9%
5 19
10.2%
0 17
9.1%
3 16
8.6%
4 14
 
7.5%
1 13
 
7.0%
7 12
 
6.5%
8 10
 
5.4%
2 9
 
4.8%
Other values (5) 16
8.6%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 104
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:08.050297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.3
Min length8

Characters and Unicode

Total characters186
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row4월(15~21)
2nd row 123,740
3rd row 743,905
4th row 399,435
5th row 309,525
ValueCountFrequency (%)
4월(15~21 1
 
5.0%
123,740 1
 
5.0%
7,049,295 1
 
5.0%
28,500 1
 
5.0%
338,140 1
 
5.0%
210,340 1
 
5.0%
90,475 1
 
5.0%
441,160 1
 
5.0%
317,025 1
 
5.0%
357,565 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:08.301909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
19.4%
, 23
12.4%
0 21
11.3%
1 17
9.1%
5 17
9.1%
4 14
 
7.5%
2 14
 
7.5%
3 14
 
7.5%
7 9
 
4.8%
9 8
 
4.3%
Other values (6) 13
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 123
66.1%
Space Separator 36
 
19.4%
Other Punctuation 23
 
12.4%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
17.1%
1 17
13.8%
5 17
13.8%
4 14
11.4%
2 14
11.4%
3 14
11.4%
7 9
7.3%
9 8
 
6.5%
6 5
 
4.1%
8 4
 
3.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 185
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
19.5%
, 23
12.4%
0 21
11.4%
1 17
9.2%
5 17
9.2%
4 14
 
7.6%
2 14
 
7.6%
3 14
 
7.6%
7 9
 
4.9%
9 8
 
4.3%
Other values (5) 12
 
6.5%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 185
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
19.5%
, 23
12.4%
0 21
11.4%
1 17
9.2%
5 17
9.2%
4 14
 
7.6%
2 14
 
7.6%
3 14
 
7.6%
7 9
 
4.9%
9 8
 
4.3%
Other values (5) 12
 
6.5%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 105
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:08.467156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.3
Min length8

Characters and Unicode

Total characters186
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row4월(22~28)
2nd row 134,140
3rd row 816,045
4th row 447,265
5th row 256,115
ValueCountFrequency (%)
4월(22~28 1
 
5.0%
134,140 1
 
5.0%
6,830,910 1
 
5.0%
28,945 1
 
5.0%
280,920 1
 
5.0%
264,860 1
 
5.0%
88,370 1
 
5.0%
458,870 1
 
5.0%
350,460 1
 
5.0%
354,785 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:08.727241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
19.4%
, 23
12.4%
0 18
9.7%
2 17
9.1%
5 17
9.1%
8 16
8.6%
4 14
 
7.5%
1 11
 
5.9%
3 9
 
4.8%
6 9
 
4.8%
Other values (6) 16
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 123
66.1%
Space Separator 36
 
19.4%
Other Punctuation 23
 
12.4%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
14.6%
2 17
13.8%
5 17
13.8%
8 16
13.0%
4 14
11.4%
1 11
8.9%
3 9
7.3%
6 9
7.3%
9 7
 
5.7%
7 5
 
4.1%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 185
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
19.5%
, 23
12.4%
0 18
9.7%
2 17
9.2%
5 17
9.2%
8 16
8.6%
4 14
 
7.6%
1 11
 
5.9%
3 9
 
4.9%
6 9
 
4.9%
Other values (5) 15
8.1%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 185
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
19.5%
, 23
12.4%
0 18
9.7%
2 17
9.2%
5 17
9.2%
8 16
8.6%
4 14
 
7.6%
1 11
 
5.9%
3 9
 
4.9%
6 9
 
4.9%
Other values (5) 15
8.1%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 106
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:08.882557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length8.9
Min length7

Characters and Unicode

Total characters178
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row4월(29~30)
2nd row 49,030
3rd row 332,625
4th row 140,840
5th row 105,460
ValueCountFrequency (%)
4월(29~30 1
 
5.0%
49,030 1
 
5.0%
2,573,395 1
 
5.0%
9,015 1
 
5.0%
101,510 1
 
5.0%
87,610 1
 
5.0%
45,365 1
 
5.0%
137,975 1
 
5.0%
75,420 1
 
5.0%
144,930 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:09.499350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
20.2%
, 22
12.4%
5 18
10.1%
0 17
9.6%
3 14
 
7.9%
1 13
 
7.3%
4 12
 
6.7%
8 10
 
5.6%
6 9
 
5.1%
9 8
 
4.5%
Other values (6) 19
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 116
65.2%
Space Separator 36
 
20.2%
Other Punctuation 22
 
12.4%
Other Letter 1
 
0.6%
Open Punctuation 1
 
0.6%
Math Symbol 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 18
15.5%
0 17
14.7%
3 14
12.1%
1 13
11.2%
4 12
10.3%
8 10
8.6%
6 9
7.8%
9 8
6.9%
7 8
6.9%
2 7
 
6.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 177
99.4%
Hangul 1
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
36
20.3%
, 22
12.4%
5 18
10.2%
0 17
9.6%
3 14
 
7.9%
1 13
 
7.3%
4 12
 
6.8%
8 10
 
5.6%
6 9
 
5.1%
9 8
 
4.5%
Other values (5) 18
10.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 177
99.4%
Hangul 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
20.3%
, 22
12.4%
5 18
10.2%
0 17
9.6%
3 14
 
7.9%
1 13
 
7.3%
4 12
 
6.8%
8 10
 
5.6%
6 9
 
5.1%
9 8
 
4.5%
Other values (5) 18
10.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 107
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:09.695192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.3
Min length4

Characters and Unicode

Total characters206
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row4월합계
2nd row 642,335
3rd row 3,805,695
4th row 2,015,120
5th row 1,260,655
ValueCountFrequency (%)
4월합계 1
 
5.0%
642,335 1
 
5.0%
33,734,445 1
 
5.0%
462,570 1
 
5.0%
1,228,815 1
 
5.0%
980,585 1
 
5.0%
431,770 1
 
5.0%
2,142,910 1
 
5.0%
1,544,955 1
 
5.0%
1,675,235 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:09.986693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
17.5%
, 34
16.5%
5 25
12.1%
1 20
9.7%
2 16
7.8%
4 15
7.3%
6 13
 
6.3%
0 13
 
6.3%
3 10
 
4.9%
9 9
 
4.4%
Other values (5) 15
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 133
64.6%
Space Separator 36
 
17.5%
Other Punctuation 34
 
16.5%
Other Letter 3
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 25
18.8%
1 20
15.0%
2 16
12.0%
4 15
11.3%
6 13
9.8%
0 13
9.8%
3 10
 
7.5%
9 9
 
6.8%
8 6
 
4.5%
7 6
 
4.5%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 203
98.5%
Hangul 3
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
17.7%
, 34
16.7%
5 25
12.3%
1 20
9.9%
2 16
7.9%
4 15
7.4%
6 13
 
6.4%
0 13
 
6.4%
3 10
 
4.9%
9 9
 
4.4%
Other values (2) 12
 
5.9%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 203
98.5%
Hangul 3
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
17.7%
, 34
16.7%
5 25
12.3%
1 20
9.9%
2 16
7.9%
4 15
7.4%
6 13
 
6.4%
0 13
 
6.4%
3 10
 
4.9%
9 9
 
4.4%
Other values (2) 12
 
5.9%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 108
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:10.139593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9
Min length8

Characters and Unicode

Total characters180
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row5월(01~05)
2nd row 74,705
3rd row 334,360
4th row 220,395
5th row 94,355
ValueCountFrequency (%)
5월(01~05 1
 
5.0%
74,705 1
 
5.0%
3,121,680 1
 
5.0%
11,060 1
 
5.0%
187,090 1
 
5.0%
100,305 1
 
5.0%
27,070 1
 
5.0%
160,025 1
 
5.0%
94,410 1
 
5.0%
160,675 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:10.411159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
20.0%
0 26
14.4%
, 22
12.2%
5 16
8.9%
1 15
8.3%
7 12
 
6.7%
6 11
 
6.1%
3 10
 
5.6%
2 10
 
5.6%
4 8
 
4.4%
Other values (6) 14
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 118
65.6%
Space Separator 36
 
20.0%
Other Punctuation 22
 
12.2%
Other Letter 1
 
0.6%
Open Punctuation 1
 
0.6%
Math Symbol 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
22.0%
5 16
13.6%
1 15
12.7%
7 12
10.2%
6 11
9.3%
3 10
 
8.5%
2 10
 
8.5%
4 8
 
6.8%
9 5
 
4.2%
8 5
 
4.2%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 179
99.4%
Hangul 1
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
36
20.1%
0 26
14.5%
, 22
12.3%
5 16
8.9%
1 15
8.4%
7 12
 
6.7%
6 11
 
6.1%
3 10
 
5.6%
2 10
 
5.6%
4 8
 
4.5%
Other values (5) 13
 
7.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 179
99.4%
Hangul 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
20.1%
0 26
14.5%
, 22
12.3%
5 16
8.9%
1 15
8.4%
7 12
 
6.7%
6 11
 
6.1%
3 10
 
5.6%
2 10
 
5.6%
4 8
 
4.5%
Other values (5) 13
 
7.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 109
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:10.562882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.6
Min length8

Characters and Unicode

Total characters192
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row5월(06~12)
2nd row 222,385
3rd row 1,140,450
4th row 714,225
5th row 335,115
ValueCountFrequency (%)
5월(06~12 1
 
5.0%
222,385 1
 
5.0%
10,703,225 1
 
5.0%
29,100 1
 
5.0%
434,895 1
 
5.0%
365,495 1
 
5.0%
117,085 1
 
5.0%
769,760 1
 
5.0%
486,770 1
 
5.0%
531,390 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:10.827549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
18.8%
, 25
13.0%
5 22
11.5%
2 17
8.9%
0 16
8.3%
1 16
8.3%
6 10
 
5.2%
3 10
 
5.2%
4 10
 
5.2%
7 10
 
5.2%
Other values (6) 20
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 127
66.1%
Space Separator 36
 
18.8%
Other Punctuation 25
 
13.0%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 22
17.3%
2 17
13.4%
0 16
12.6%
1 16
12.6%
6 10
7.9%
3 10
7.9%
4 10
7.9%
7 10
7.9%
8 8
 
6.3%
9 8
 
6.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 191
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
18.8%
, 25
13.1%
5 22
11.5%
2 17
8.9%
0 16
8.4%
1 16
8.4%
6 10
 
5.2%
3 10
 
5.2%
4 10
 
5.2%
7 10
 
5.2%
Other values (5) 19
9.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 191
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
18.8%
, 25
13.1%
5 22
11.5%
2 17
8.9%
0 16
8.4%
1 16
8.4%
6 10
 
5.2%
3 10
 
5.2%
4 10
 
5.2%
7 10
 
5.2%
Other values (5) 19
9.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 110
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:10.988518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.45
Min length8

Characters and Unicode

Total characters189
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row5월(13~19)
2nd row 149,770
3rd row 813,325
4th row 468,165
5th row 368,070
ValueCountFrequency (%)
5월(13~19 1
 
5.0%
149,770 1
 
5.0%
8,002,520 1
 
5.0%
23,045 1
 
5.0%
327,870 1
 
5.0%
249,150 1
 
5.0%
106,340 1
 
5.0%
606,370 1
 
5.0%
436,845 1
 
5.0%
380,275 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:11.255965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
19.0%
, 24
12.7%
0 20
10.6%
1 16
8.5%
5 14
 
7.4%
2 14
 
7.4%
3 11
 
5.8%
7 11
 
5.8%
4 10
 
5.3%
8 10
 
5.3%
Other values (6) 23
12.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125
66.1%
Space Separator 36
 
19.0%
Other Punctuation 24
 
12.7%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
16.0%
1 16
12.8%
5 14
11.2%
2 14
11.2%
3 11
8.8%
7 11
8.8%
4 10
8.0%
8 10
8.0%
6 10
8.0%
9 9
7.2%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 188
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
19.1%
, 24
12.8%
0 20
10.6%
1 16
8.5%
5 14
 
7.4%
2 14
 
7.4%
3 11
 
5.9%
7 11
 
5.9%
4 10
 
5.3%
8 10
 
5.3%
Other values (5) 22
11.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 188
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
19.1%
, 24
12.8%
0 20
10.6%
1 16
8.5%
5 14
 
7.4%
2 14
 
7.4%
3 11
 
5.9%
7 11
 
5.9%
4 10
 
5.3%
8 10
 
5.3%
Other values (5) 22
11.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 111
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:11.423671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.35
Min length8

Characters and Unicode

Total characters187
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row5월(20~26)
2nd row 158,790
3rd row 713,950
4th row 362,205
5th row 282,335
ValueCountFrequency (%)
5월(20~26 1
 
5.0%
158,790 1
 
5.0%
6,586,885 1
 
5.0%
19,985 1
 
5.0%
255,065 1
 
5.0%
235,150 1
 
5.0%
105,165 1
 
5.0%
522,780 1
 
5.0%
311,250 1
 
5.0%
261,170 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:11.739548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
19.3%
5 24
12.8%
, 23
12.3%
1 18
9.6%
2 15
8.0%
6 14
 
7.5%
0 13
 
7.0%
8 12
 
6.4%
9 9
 
4.8%
7 8
 
4.3%
Other values (6) 15
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
66.3%
Space Separator 36
 
19.3%
Other Punctuation 23
 
12.3%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 24
19.4%
1 18
14.5%
2 15
12.1%
6 14
11.3%
0 13
10.5%
8 12
9.7%
9 9
 
7.3%
7 8
 
6.5%
3 7
 
5.6%
4 4
 
3.2%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 186
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
19.4%
5 24
12.9%
, 23
12.4%
1 18
9.7%
2 15
8.1%
6 14
 
7.5%
0 13
 
7.0%
8 12
 
6.5%
9 9
 
4.8%
7 8
 
4.3%
Other values (5) 14
 
7.5%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 186
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
19.4%
5 24
12.9%
, 23
12.4%
1 18
9.7%
2 15
8.1%
6 14
 
7.5%
0 13
 
7.0%
8 12
 
6.5%
9 9
 
4.8%
7 8
 
4.3%
Other values (5) 14
 
7.5%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 112
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:11.913420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.2
Min length8

Characters and Unicode

Total characters184
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row5월(27~31)
2nd row 108,960
3rd row 558,115
4th row 296,730
5th row 170,960
ValueCountFrequency (%)
5월(27~31 1
 
5.0%
108,960 1
 
5.0%
4,650,080 1
 
5.0%
15,825 1
 
5.0%
144,295 1
 
5.0%
191,490 1
 
5.0%
39,295 1
 
5.0%
301,820 1
 
5.0%
177,910 1
 
5.0%
261,685 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:12.199723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
19.6%
, 22
12.0%
1 19
10.3%
0 19
10.3%
5 16
8.7%
2 13
 
7.1%
9 12
 
6.5%
6 12
 
6.5%
4 10
 
5.4%
7 9
 
4.9%
Other values (6) 16
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 122
66.3%
Space Separator 36
 
19.6%
Other Punctuation 22
 
12.0%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
15.6%
0 19
15.6%
5 16
13.1%
2 13
10.7%
9 12
9.8%
6 12
9.8%
4 10
8.2%
7 9
7.4%
8 8
6.6%
3 4
 
3.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 183
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
36
19.7%
, 22
12.0%
1 19
10.4%
0 19
10.4%
5 16
8.7%
2 13
 
7.1%
9 12
 
6.6%
6 12
 
6.6%
4 10
 
5.5%
7 9
 
4.9%
Other values (5) 15
8.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 183
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
19.7%
, 22
12.0%
1 19
10.4%
0 19
10.4%
5 16
8.7%
2 13
 
7.1%
9 12
 
6.6%
6 12
 
6.6%
4 10
 
5.5%
7 9
 
4.9%
Other values (5) 15
8.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 113
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:39:12.343073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.6363636
Min length3

Characters and Unicode

Total characters212
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row5월합계
2nd row 714,610
3rd row 3,560,200
4th row 2,061,720
5th row 1,250,835
ValueCountFrequency (%)
2
 
9.1%
1,595,195 1
 
4.5%
5월합계 1
 
4.5%
33,064,390 1
 
4.5%
99,015 1
 
4.5%
1,349,215 1
 
4.5%
1,141,590 1
 
4.5%
394,955 1
 
4.5%
2,360,755 1
 
4.5%
1,507,185 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:39:12.589816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
19.3%
, 34
16.0%
5 22
10.4%
0 21
9.9%
1 17
8.0%
6 13
 
6.1%
2 13
 
6.1%
9 13
 
6.1%
3 12
 
5.7%
4 9
 
4.2%
Other values (6) 17
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 132
62.3%
Space Separator 41
 
19.3%
Other Punctuation 34
 
16.0%
Other Letter 3
 
1.4%
Dash Punctuation 2
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 22
16.7%
0 21
15.9%
1 17
12.9%
6 13
9.8%
2 13
9.8%
9 13
9.8%
3 12
9.1%
4 9
6.8%
7 8
 
6.1%
8 4
 
3.0%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
41
19.6%
, 34
16.3%
5 22
10.5%
0 21
10.0%
1 17
8.1%
6 13
 
6.2%
2 13
 
6.2%
9 13
 
6.2%
3 12
 
5.7%
4 9
 
4.3%
Other values (3) 14
 
6.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
19.6%
, 34
16.3%
5 22
10.5%
0 21
10.0%
1 17
8.1%
6 13
 
6.2%
2 13
 
6.2%
9 13
 
6.2%
3 12
 
5.7%
4 9
 
4.3%
Other values (3) 14
 
6.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 114
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:12.749918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.75
Min length8

Characters and Unicode

Total characters195
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row6월(01~09)
2nd row 227,150
3rd row 1,152,120
4th row 678,900
5th row 431,055
ValueCountFrequency (%)
6월(01~09 1
 
5.0%
227,150 1
 
5.0%
12,711,910 1
 
5.0%
31,330 1
 
5.0%
449,390 1
 
5.0%
514,280 1
 
5.0%
136,435 1
 
5.0%
892,340 1
 
5.0%
600,735 1
 
5.0%
646,880 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:13.036841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
19.0%
0 26
13.3%
, 26
13.3%
1 21
10.8%
5 14
 
7.2%
3 13
 
6.7%
9 11
 
5.6%
2 11
 
5.6%
4 9
 
4.6%
6 8
 
4.1%
Other values (6) 19
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 128
65.6%
Space Separator 37
 
19.0%
Other Punctuation 26
 
13.3%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
20.3%
1 21
16.4%
5 14
10.9%
3 13
10.2%
9 11
8.6%
2 11
8.6%
4 9
 
7.0%
6 8
 
6.2%
8 8
 
6.2%
7 7
 
5.5%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
37
19.1%
0 26
13.4%
, 26
13.4%
1 21
10.8%
5 14
 
7.2%
3 13
 
6.7%
9 11
 
5.7%
2 11
 
5.7%
4 9
 
4.6%
6 8
 
4.1%
Other values (5) 18
9.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
19.1%
0 26
13.4%
, 26
13.4%
1 21
10.8%
5 14
 
7.2%
3 13
 
6.7%
9 11
 
5.7%
2 11
 
5.7%
4 9
 
4.6%
6 8
 
4.1%
Other values (5) 18
9.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 115
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:13.201604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.45
Min length8

Characters and Unicode

Total characters189
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row6월(10~16)
2nd row 134,435
3rd row 638,185
4th row 373,815
5th row 330,840
ValueCountFrequency (%)
6월(10~16 1
 
5.0%
134,435 1
 
5.0%
7,343,515 1
 
5.0%
19,645 1
 
5.0%
202,060 1
 
5.0%
264,590 1
 
5.0%
84,440 1
 
5.0%
539,710 1
 
5.0%
387,560 1
 
5.0%
393,065 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:13.464733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
19.6%
, 24
12.7%
5 23
12.2%
3 17
9.0%
1 16
8.5%
0 15
7.9%
2 13
 
6.9%
6 10
 
5.3%
4 10
 
5.3%
8 8
 
4.2%
Other values (6) 16
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
65.6%
Space Separator 37
 
19.6%
Other Punctuation 24
 
12.7%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 23
18.5%
3 17
13.7%
1 16
12.9%
0 15
12.1%
2 13
10.5%
6 10
8.1%
4 10
8.1%
8 8
 
6.5%
7 6
 
4.8%
9 6
 
4.8%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 188
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
37
19.7%
, 24
12.8%
5 23
12.2%
3 17
9.0%
1 16
8.5%
0 15
8.0%
2 13
 
6.9%
6 10
 
5.3%
4 10
 
5.3%
8 8
 
4.3%
Other values (5) 15
8.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 188
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
19.7%
, 24
12.8%
5 23
12.2%
3 17
9.0%
1 16
8.5%
0 15
8.0%
2 13
 
6.9%
6 10
 
5.3%
4 10
 
5.3%
8 8
 
4.3%
Other values (5) 15
8.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 116
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:13.639758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.35
Min length8

Characters and Unicode

Total characters187
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row6월(17~23)
2nd row 132,810
3rd row 587,570
4th row 291,875
5th row 264,025
ValueCountFrequency (%)
6월(17~23 1
 
5.0%
132,810 1
 
5.0%
6,351,840 1
 
5.0%
17,825 1
 
5.0%
189,950 1
 
5.0%
232,175 1
 
5.0%
85,110 1
 
5.0%
457,685 1
 
5.0%
290,825 1
 
5.0%
319,450 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:13.993752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
19.8%
, 23
12.3%
5 20
10.7%
2 16
8.6%
1 14
 
7.5%
8 14
 
7.5%
0 13
 
7.0%
7 10
 
5.3%
3 10
 
5.3%
6 9
 
4.8%
Other values (6) 21
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 123
65.8%
Space Separator 37
 
19.8%
Other Punctuation 23
 
12.3%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
16.3%
2 16
13.0%
1 14
11.4%
8 14
11.4%
0 13
10.6%
7 10
8.1%
3 10
8.1%
6 9
7.3%
9 9
7.3%
4 8
 
6.5%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 186
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
37
19.9%
, 23
12.4%
5 20
10.8%
2 16
8.6%
1 14
 
7.5%
8 14
 
7.5%
0 13
 
7.0%
7 10
 
5.4%
3 10
 
5.4%
6 9
 
4.8%
Other values (5) 20
10.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 186
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
19.9%
, 23
12.4%
5 20
10.8%
2 16
8.6%
1 14
 
7.5%
8 14
 
7.5%
0 13
 
7.0%
7 10
 
5.4%
3 10
 
5.4%
6 9
 
4.8%
Other values (5) 20
10.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 117
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:14.171231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.15
Min length8

Characters and Unicode

Total characters183
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row6월(24~28)
2nd row 72,320
3rd row 379,465
4th row 211,295
5th row 185,130
ValueCountFrequency (%)
6월(24~28 1
 
5.0%
72,320 1
 
5.0%
3,282,280 1
 
5.0%
10,370 1
 
5.0%
88,965 1
 
5.0%
130,025 1
 
5.0%
24,870 1
 
5.0%
259,740 1
 
5.0%
105,565 1
 
5.0%
135,240 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:14.445165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
20.2%
, 22
12.0%
5 18
9.8%
2 17
9.3%
0 16
8.7%
1 14
 
7.7%
4 11
 
6.0%
3 11
 
6.0%
6 9
 
4.9%
7 9
 
4.9%
Other values (6) 19
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
65.6%
Space Separator 37
 
20.2%
Other Punctuation 22
 
12.0%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 18
15.0%
2 17
14.2%
0 16
13.3%
1 14
11.7%
4 11
9.2%
3 11
9.2%
6 9
7.5%
7 9
7.5%
8 8
6.7%
9 7
 
5.8%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 182
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
37
20.3%
, 22
12.1%
5 18
9.9%
2 17
9.3%
0 16
8.8%
1 14
 
7.7%
4 11
 
6.0%
3 11
 
6.0%
6 9
 
4.9%
7 9
 
4.9%
Other values (5) 18
9.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
20.3%
, 22
12.1%
5 18
9.9%
2 17
9.3%
0 16
8.8%
1 14
 
7.7%
4 11
 
6.0%
3 11
 
6.0%
6 9
 
4.9%
7 9
 
4.9%
Other values (5) 18
9.9%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 118
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:14.600432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.15
Min length8

Characters and Unicode

Total characters183
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row6월(29~30)
2nd row 79,640
3rd row 543,610
4th row 238,320
5th row 200,400
ValueCountFrequency (%)
6월(29~30 1
 
5.0%
79,640 1
 
5.0%
4,156,695 1
 
5.0%
15,110 1
 
5.0%
91,765 1
 
5.0%
138,295 1
 
5.0%
66,330 1
 
5.0%
261,875 1
 
5.0%
113,545 1
 
5.0%
166,625 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:14.859460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
20.2%
, 22
12.0%
1 18
9.8%
5 17
9.3%
0 16
8.7%
6 15
8.2%
3 12
 
6.6%
4 10
 
5.5%
2 9
 
4.9%
7 9
 
4.9%
Other values (6) 18
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
65.6%
Space Separator 37
 
20.2%
Other Punctuation 22
 
12.0%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
15.0%
5 17
14.2%
0 16
13.3%
6 15
12.5%
3 12
10.0%
4 10
8.3%
2 9
7.5%
7 9
7.5%
9 8
6.7%
8 6
 
5.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 182
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
37
20.3%
, 22
12.1%
1 18
9.9%
5 17
9.3%
0 16
8.8%
6 15
8.2%
3 12
 
6.6%
4 10
 
5.5%
2 9
 
4.9%
7 9
 
4.9%
Other values (5) 17
9.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
20.3%
, 22
12.1%
1 18
9.9%
5 17
9.3%
0 16
8.8%
6 15
8.2%
3 12
 
6.6%
4 10
 
5.5%
2 9
 
4.9%
7 9
 
4.9%
Other values (5) 17
9.3%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 119
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing8
Missing (%)27.6%
Memory size364.0 B
2024-03-14T09:39:15.044274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.047619
Min length3

Characters and Unicode

Total characters211
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row6월합계
2nd row 646,355
3rd row 3,300,950
4th row 1,794,205
5th row 1,411,450
ValueCountFrequency (%)
6월합계 1
 
4.8%
1,661,260 1
 
4.8%
33,846,240 1
 
4.8%
1
 
4.8%
94,280 1
 
4.8%
1,022,130 1
 
4.8%
1,279,365 1
 
4.8%
397,185 1
 
4.8%
2,411,350 1
 
4.8%
1,498,230 1
 
4.8%
Other values (11) 11
52.4%
2024-03-14T09:39:15.312225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
18.5%
, 35
16.6%
1 22
10.4%
5 19
9.0%
3 16
7.6%
0 16
7.6%
6 14
 
6.6%
4 14
 
6.6%
2 12
 
5.7%
9 7
 
3.3%
Other values (6) 17
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 133
63.0%
Space Separator 39
 
18.5%
Other Punctuation 35
 
16.6%
Other Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 22
16.5%
5 19
14.3%
3 16
12.0%
0 16
12.0%
6 14
10.5%
4 14
10.5%
2 12
9.0%
9 7
 
5.3%
7 7
 
5.3%
8 6
 
4.5%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 208
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
39
18.8%
, 35
16.8%
1 22
10.6%
5 19
9.1%
3 16
7.7%
0 16
7.7%
6 14
 
6.7%
4 14
 
6.7%
2 12
 
5.8%
9 7
 
3.4%
Other values (3) 14
 
6.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 208
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
18.8%
, 35
16.8%
1 22
10.6%
5 19
9.1%
3 16
7.7%
0 16
7.7%
6 14
 
6.7%
4 14
 
6.7%
2 12
 
5.8%
9 7
 
3.4%
Other values (3) 14
 
6.7%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 120
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:15.466969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.75
Min length7

Characters and Unicode

Total characters195
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row7월(1~7)
2nd row 183,890
3rd row 1,166,080
4th row 696,590
5th row 636,380
ValueCountFrequency (%)
7월(1~7 1
 
5.0%
183,890 1
 
5.0%
15,866,280 1
 
5.0%
21,140 1
 
5.0%
278,430 1
 
5.0%
346,455 1
 
5.0%
154,950 1
 
5.0%
1,075,370 1
 
5.0%
609,505 1
 
5.0%
640,645 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:15.723473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
19.0%
, 27
13.8%
0 21
10.8%
6 17
8.7%
5 16
8.2%
3 14
 
7.2%
8 12
 
6.2%
1 11
 
5.6%
4 11
 
5.6%
9 9
 
4.6%
Other values (6) 20
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 127
65.1%
Space Separator 37
 
19.0%
Other Punctuation 27
 
13.8%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
16.5%
6 17
13.4%
5 16
12.6%
3 14
11.0%
8 12
9.4%
1 11
8.7%
4 11
8.7%
9 9
7.1%
7 8
 
6.3%
2 8
 
6.3%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
37
19.1%
, 27
13.9%
0 21
10.8%
6 17
8.8%
5 16
8.2%
3 14
 
7.2%
8 12
 
6.2%
1 11
 
5.7%
4 11
 
5.7%
9 9
 
4.6%
Other values (5) 19
9.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
19.1%
, 27
13.9%
0 21
10.8%
6 17
8.8%
5 16
8.2%
3 14
 
7.2%
8 12
 
6.2%
1 11
 
5.7%
4 11
 
5.7%
9 9
 
4.6%
Other values (5) 19
9.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 121
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:15.923922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.7
Min length8

Characters and Unicode

Total characters194
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row7월(7~14)
2nd row 184,990
3rd row 1,112,100
4th row 709,655
5th row 644,045
ValueCountFrequency (%)
7월(7~14 1
 
5.0%
184,990 1
 
5.0%
14,358,835 1
 
5.0%
17,120 1
 
5.0%
210,460 1
 
5.0%
278,975 1
 
5.0%
147,210 1
 
5.0%
979,085 1
 
5.0%
542,675 1
 
5.0%
554,690 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:16.225511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
19.1%
, 26
13.4%
5 19
9.8%
1 16
8.2%
4 16
8.2%
0 15
7.7%
6 14
 
7.2%
9 13
 
6.7%
7 12
 
6.2%
2 12
 
6.2%
Other values (6) 14
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 127
65.5%
Space Separator 37
 
19.1%
Other Punctuation 26
 
13.4%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 19
15.0%
1 16
12.6%
4 16
12.6%
0 15
11.8%
6 14
11.0%
9 13
10.2%
7 12
9.4%
2 12
9.4%
8 6
 
4.7%
3 4
 
3.1%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 193
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
37
19.2%
, 26
13.5%
5 19
9.8%
1 16
8.3%
4 16
8.3%
0 15
7.8%
6 14
 
7.3%
9 13
 
6.7%
7 12
 
6.2%
2 12
 
6.2%
Other values (5) 13
 
6.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 193
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
19.2%
, 26
13.5%
5 19
9.8%
1 16
8.3%
4 16
8.3%
0 15
7.8%
6 14
 
7.3%
9 13
 
6.7%
7 12
 
6.2%
2 12
 
6.2%
Other values (5) 13
 
6.7%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 122
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:16.415198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.75
Min length8

Characters and Unicode

Total characters195
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row7월(15~21)
2nd row 201,160
3rd row 1,200,825
4th row 713,580
5th row 780,050
ValueCountFrequency (%)
7월(15~21 1
 
5.0%
201,160 1
 
5.0%
13,943,305 1
 
5.0%
29,605 1
 
5.0%
220,690 1
 
5.0%
286,525 1
 
5.0%
209,555 1
 
5.0%
935,360 1
 
5.0%
418,825 1
 
5.0%
475,920 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:16.694541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
19.0%
, 26
13.3%
0 23
11.8%
5 22
11.3%
2 15
7.7%
1 13
 
6.7%
8 11
 
5.6%
3 11
 
5.6%
6 10
 
5.1%
9 10
 
5.1%
Other values (6) 17
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 128
65.6%
Space Separator 37
 
19.0%
Other Punctuation 26
 
13.3%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
18.0%
5 22
17.2%
2 15
11.7%
1 13
10.2%
8 11
8.6%
3 11
8.6%
6 10
7.8%
9 10
7.8%
7 7
 
5.5%
4 6
 
4.7%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
37
19.1%
, 26
13.4%
0 23
11.9%
5 22
11.3%
2 15
7.7%
1 13
 
6.7%
8 11
 
5.7%
3 11
 
5.7%
6 10
 
5.2%
9 10
 
5.2%
Other values (5) 16
8.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
19.1%
, 26
13.4%
0 23
11.9%
5 22
11.3%
2 15
7.7%
1 13
 
6.7%
8 11
 
5.7%
3 11
 
5.7%
6 10
 
5.2%
9 10
 
5.2%
Other values (5) 16
8.2%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 123
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:16.847008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.75
Min length8

Characters and Unicode

Total characters195
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row7월(22~28)
2nd row 276,465
3rd row 1,534,145
4th row 853,040
5th row 788,155
ValueCountFrequency (%)
7월(22~28 1
 
5.0%
276,465 1
 
5.0%
13,939,150 1
 
5.0%
25,845 1
 
5.0%
266,725 1
 
5.0%
375,480 1
 
5.0%
194,060 1
 
5.0%
805,835 1
 
5.0%
496,375 1
 
5.0%
524,180 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:17.119267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
19.0%
, 26
13.3%
5 26
13.3%
4 15
7.7%
6 13
 
6.7%
0 12
 
6.2%
2 11
 
5.6%
8 11
 
5.6%
1 11
 
5.6%
3 11
 
5.6%
Other values (6) 22
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 128
65.6%
Space Separator 37
 
19.0%
Other Punctuation 26
 
13.3%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 26
20.3%
4 15
11.7%
6 13
10.2%
0 12
9.4%
2 11
8.6%
8 11
8.6%
1 11
8.6%
3 11
8.6%
7 9
 
7.0%
9 9
 
7.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
37
19.1%
, 26
13.4%
5 26
13.4%
4 15
7.7%
6 13
 
6.7%
0 12
 
6.2%
2 11
 
5.7%
8 11
 
5.7%
1 11
 
5.7%
3 11
 
5.7%
Other values (5) 21
10.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
19.1%
, 26
13.4%
5 26
13.4%
4 15
7.7%
6 13
 
6.7%
0 12
 
6.2%
2 11
 
5.7%
8 11
 
5.7%
1 11
 
5.7%
3 11
 
5.7%
Other values (5) 21
10.8%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 124
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-03-14T09:39:17.281850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.45
Min length8

Characters and Unicode

Total characters189
Distinct characters16
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row7월(29~31)
2nd row 145,995
3rd row 908,735
4th row 455,765
5th row 367,075
ValueCountFrequency (%)
7월(29~31 1
 
5.0%
145,995 1
 
5.0%
7,231,855 1
 
5.0%
11,450 1
 
5.0%
134,160 1
 
5.0%
225,035 1
 
5.0%
58,305 1
 
5.0%
363,135 1
 
5.0%
276,570 1
 
5.0%
268,265 1
 
5.0%
Other values (10) 10
50.0%
2024-03-14T09:39:17.582695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
19.6%
5 26
13.8%
, 24
12.7%
1 19
10.1%
3 13
 
6.9%
2 12
 
6.3%
0 12
 
6.3%
7 11
 
5.8%
6 11
 
5.8%
4 8
 
4.2%
Other values (6) 16
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
65.6%
Space Separator 37
 
19.6%
Other Punctuation 24
 
12.7%
Other Letter 1
 
0.5%
Open Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 26
21.0%
1 19
15.3%
3 13
10.5%
2 12
9.7%
0 12
9.7%
7 11
8.9%
6 11
8.9%
4 8
 
6.5%
9 7
 
5.6%
8 5
 
4.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Other Letter
ValueCountFrequency (%)
월 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 188
99.5%
Hangul 1
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
37
19.7%
5 26
13.8%
, 24
12.8%
1 19
10.1%
3 13
 
6.9%
2 12
 
6.4%
0 12
 
6.4%
7 11
 
5.9%
6 11
 
5.9%
4 8
 
4.3%
Other values (5) 15
8.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 188
99.5%
Hangul 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
19.7%
5 26
13.8%
, 24
12.8%
1 19
10.1%
3 13
 
6.9%
2 12
 
6.4%
0 12
 
6.4%
7 11
 
5.9%
6 11
 
5.9%
4 8
 
4.3%
Other values (5) 15
8.0%
Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 125
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing8
Missing (%)27.6%
Memory size364.0 B
2024-03-14T09:39:17.736414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.285714
Min length3

Characters and Unicode

Total characters216
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row7월합계
2nd row 992,500
3rd row 5,921,885
4th row 3,428,630
5th row 3,215,705
ValueCountFrequency (%)
7월합계 1
 
4.8%
2,463,700 1
 
4.8%
65,339,425 1
 
4.8%
1
 
4.8%
105,160 1
 
4.8%
1,110,465 1
 
4.8%
1,512,470 1
 
4.8%
764,080 1
 
4.8%
4,158,785 1
 
4.8%
2,343,950 1
 
4.8%
Other values (11) 11
52.4%
2024-03-14T09:39:18.002682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
18.1%
, 36
16.7%
5 20
9.3%
1 20
9.3%
0 17
7.9%
2 15
 
6.9%
6 14
 
6.5%
3 12
 
5.6%
7 10
 
4.6%
8 10
 
4.6%
Other values (6) 23
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 137
63.4%
Space Separator 39
 
18.1%
Other Punctuation 36
 
16.7%
Other Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
14.6%
1 20
14.6%
0 17
12.4%
2 15
10.9%
6 14
10.2%
3 12
8.8%
7 10
7.3%
8 10
7.3%
4 10
7.3%
9 9
6.6%
Other Letter
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 213
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
39
18.3%
, 36
16.9%
5 20
9.4%
1 20
9.4%
0 17
8.0%
2 15
 
7.0%
6 14
 
6.6%
3 12
 
5.6%
7 10
 
4.7%
8 10
 
4.7%
Other values (3) 20
9.4%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 213
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
18.3%
, 36
16.9%
5 20
9.4%
1 20
9.4%
0 17
8.0%
2 15
 
7.0%
6 14
 
6.6%
3 12
 
5.6%
7 10
 
4.7%
8 10
 
4.7%
Other values (3) 20
9.4%
Hangul
ValueCountFrequency (%)
월 1
33.3%
합 1
33.3%
계 1
33.3%

Unnamed: 126
Text

MISSING 

Distinct21
Distinct (%)91.3%
Missing6
Missing (%)20.7%
Memory size364.0 B
2024-03-14T09:39:18.203653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.608696
Min length2

Characters and Unicode

Total characters244
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row소계
2nd row 5,934,060
3rd row 32,858,210
4th row 17,890,845
5th row 13,310,815
ValueCountFrequency (%)
304,867,990 2
 
8.7%
2
 
8.7%
19,033,225 1
 
4.3%
32,858,210 1
 
4.3%
12,233,670 1
 
4.3%
5,934,060 1
 
4.3%
4,966,760 1
 
4.3%
1,074,160 1
 
4.3%
7,431,630 1
 
4.3%
10,562,265 1
 
4.3%
Other values (11) 11
47.8%
2024-03-14T09:39:18.475801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
18.0%
, 40
16.4%
0 24
9.8%
3 19
7.8%
1 19
7.8%
6 18
7.4%
9 16
 
6.6%
5 14
 
5.7%
8 13
 
5.3%
4 12
 
4.9%
Other values (5) 25
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 156
63.9%
Space Separator 44
 
18.0%
Other Punctuation 40
 
16.4%
Dash Punctuation 2
 
0.8%
Other Letter 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
15.4%
3 19
12.2%
1 19
12.2%
6 18
11.5%
9 16
10.3%
5 14
9.0%
8 13
8.3%
4 12
7.7%
2 11
7.1%
7 10
6.4%
Other Letter
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 242
99.2%
Hangul 2
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
44
18.2%
, 40
16.5%
0 24
9.9%
3 19
7.9%
1 19
7.9%
6 18
7.4%
9 16
 
6.6%
5 14
 
5.8%
8 13
 
5.4%
4 12
 
5.0%
Other values (3) 23
9.5%
Hangul
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 242
99.2%
Hangul 2
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
18.2%
, 40
16.5%
0 24
9.9%
3 19
7.9%
1 19
7.9%
6 18
7.4%
9 16
 
6.6%
5 14
 
5.8%
8 13
 
5.4%
4 12
 
5.0%
Other values (3) 23
9.5%
Hangul
ValueCountFrequency (%)
소 1
50.0%
계 1
50.0%

Unnamed: 127
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:39:18.667198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.954545
Min length2

Characters and Unicode

Total characters241
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row누계
2nd row37,638,845
3rd row208,072,220
4th row91,816,555
5th row75,177,840
ValueCountFrequency (%)
1,701,681,742 2
 
9.1%
134,168,445 1
 
4.5%
37,638,845 1
 
4.5%
208,072,220 1
 
4.5%
492,077 1
 
4.5%
28,256,324 1
 
4.5%
4,920,090 1
 
4.5%
38,822,700 1
 
4.5%
66,301,695 1
 
4.5%
22,406,850 1
 
4.5%
Other values (11) 11
50.0%
2024-03-14T09:39:18.911839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 43
17.8%
0 25
10.4%
1 23
9.5%
21
8.7%
6 19
7.9%
2 19
7.9%
7 18
7.5%
8 18
7.5%
5 16
 
6.6%
3 14
 
5.8%
Other values (4) 25
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 175
72.6%
Other Punctuation 43
 
17.8%
Space Separator 21
 
8.7%
Other Letter 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25
14.3%
1 23
13.1%
6 19
10.9%
2 19
10.9%
7 18
10.3%
8 18
10.3%
5 16
9.1%
3 14
8.0%
4 12
6.9%
9 11
6.3%
Other Letter
ValueCountFrequency (%)
누 1
50.0%
계 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 239
99.2%
Hangul 2
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
, 43
18.0%
0 25
10.5%
1 23
9.6%
21
8.8%
6 19
7.9%
2 19
7.9%
7 18
7.5%
8 18
7.5%
5 16
 
6.7%
3 14
 
5.9%
Other values (2) 23
9.6%
Hangul
ValueCountFrequency (%)
누 1
50.0%
계 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 239
99.2%
Hangul 2
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 43
18.0%
0 25
10.5%
1 23
9.6%
21
8.8%
6 19
7.9%
2 19
7.9%
7 18
7.5%
8 18
7.5%
5 16
 
6.7%
3 14
 
5.9%
Other values (2) 23
9.6%
Hangul
ValueCountFrequency (%)
누 1
50.0%
계 1
50.0%

Unnamed: 128
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2024-03-14T09:39:19.072619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.4090909
Min length2

Characters and Unicode

Total characters97
Distinct characters22
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row회수 점유율(누계)
2nd row2.2%
3rd row12.2%
4th row5.4%
5th row4.4%
ValueCountFrequency (%)
회수 1
 
4.3%
4.5 1
 
4.3%
100.0 1
 
4.3%
0.0 1
 
4.3%
1.7 1
 
4.3%
0.3 1
 
4.3%
2.3 1
 
4.3%
3.9 1
 
4.3%
1.3 1
 
4.3%
7.9 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T09:39:19.352815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 20
20.6%
% 20
20.6%
0 8
 
8.2%
1 8
 
8.2%
3 7
 
7.2%
2 6
 
6.2%
7 5
 
5.2%
4 5
 
5.2%
9 3
 
3.1%
5 3
 
3.1%
Other values (12) 12
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46
47.4%
Other Punctuation 40
41.2%
Other Letter 7
 
7.2%
Close Punctuation 1
 
1.0%
Open Punctuation 1
 
1.0%
Control 1
 
1.0%
Space Separator 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
17.4%
1 8
17.4%
3 7
15.2%
2 6
13.0%
7 5
10.9%
4 5
10.9%
9 3
 
6.5%
5 3
 
6.5%
8 1
 
2.2%
Other Letter
ValueCountFrequency (%)
회 1
14.3%
수 1
14.3%
계 1
14.3%
누 1
14.3%
율 1
14.3%
유 1
14.3%
점 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 20
50.0%
% 20
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90
92.8%
Hangul 7
 
7.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 20
22.2%
% 20
22.2%
0 8
 
8.9%
1 8
 
8.9%
3 7
 
7.8%
2 6
 
6.7%
7 5
 
5.6%
4 5
 
5.6%
9 3
 
3.3%
5 3
 
3.3%
Other values (5) 5
 
5.6%
Hangul
ValueCountFrequency (%)
회 1
14.3%
수 1
14.3%
계 1
14.3%
누 1
14.3%
율 1
14.3%
유 1
14.3%
점 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90
92.8%
Hangul 7
 
7.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 20
22.2%
% 20
22.2%
0 8
 
8.9%
1 8
 
8.9%
3 7
 
7.8%
2 6
 
6.7%
7 5
 
5.6%
4 5
 
5.6%
9 3
 
3.3%
5 3
 
3.3%
Other values (5) 5
 
5.6%
Hangul
ValueCountFrequency (%)
회 1
14.3%
수 1
14.3%
계 1
14.3%
누 1
14.3%
율 1
14.3%
유 1
14.3%
점 1
14.3%

Unnamed: 129
Text

MISSING 

Distinct19
Distinct (%)90.5%
Missing8
Missing (%)27.6%
Memory size364.0 B
2024-03-14T09:39:19.508691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.4761905
Min length4

Characters and Unicode

Total characters94
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)81.0%

Sample

1st row회수점유율(최근월)
2nd row3.1%
3rd row13.9%
4th row4.8%
5th row5.7%
ValueCountFrequency (%)
5.7 2
 
9.5%
3.1 2
 
9.5%
6.2 1
 
4.8%
5.3 1
 
4.8%
0.1 1
 
4.8%
0.9 1
 
4.8%
0.2 1
 
4.8%
2.1 1
 
4.8%
4.0 1
 
4.8%
0.8 1
 
4.8%
Other values (9) 9
42.9%
2024-03-14T09:39:19.759878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
% 20
21.3%
. 20
21.3%
0 9
9.6%
1 7
 
7.4%
7 5
 
5.3%
3 5
 
5.3%
8 4
 
4.3%
5 3
 
3.2%
2 3
 
3.2%
9 3
 
3.2%
Other values (12) 15
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44
46.8%
Other Punctuation 40
42.6%
Other Letter 8
 
8.5%
Open Punctuation 1
 
1.1%
Close Punctuation 1
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
20.5%
1 7
15.9%
7 5
11.4%
3 5
11.4%
8 4
9.1%
5 3
 
6.8%
2 3
 
6.8%
9 3
 
6.8%
4 3
 
6.8%
6 2
 
4.5%
Other Letter
ValueCountFrequency (%)
수 1
12.5%
점 1
12.5%
유 1
12.5%
율 1
12.5%
최 1
12.5%
근 1
12.5%
월 1
12.5%
회 1
12.5%
Other Punctuation
ValueCountFrequency (%)
% 20
50.0%
. 20
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 86
91.5%
Hangul 8
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
% 20
23.3%
. 20
23.3%
0 9
10.5%
1 7
 
8.1%
7 5
 
5.8%
3 5
 
5.8%
8 4
 
4.7%
5 3
 
3.5%
2 3
 
3.5%
9 3
 
3.5%
Other values (4) 7
 
8.1%
Hangul
ValueCountFrequency (%)
수 1
12.5%
점 1
12.5%
유 1
12.5%
율 1
12.5%
최 1
12.5%
근 1
12.5%
월 1
12.5%
회 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86
91.5%
Hangul 8
 
8.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
% 20
23.3%
. 20
23.3%
0 9
10.5%
1 7
 
8.1%
7 5
 
5.8%
3 5
 
5.8%
8 4
 
4.7%
5 3
 
3.5%
2 3
 
3.5%
9 3
 
3.5%
Other values (4) 7
 
8.1%
Hangul
ValueCountFrequency (%)
수 1
12.5%
점 1
12.5%
유 1
12.5%
율 1
12.5%
최 1
12.5%
근 1
12.5%
월 1
12.5%
회 1
12.5%

Sample

Unnamed: 0Unnamed: 1온누리 상품권 지역별 회수 현황Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 75Unnamed: 76Unnamed: 77Unnamed: 78Unnamed: 79Unnamed: 80Unnamed: 81Unnamed: 82Unnamed: 83Unnamed: 84Unnamed: 85Unnamed: 86Unnamed: 87Unnamed: 88Unnamed: 89Unnamed: 90Unnamed: 91Unnamed: 92Unnamed: 93Unnamed: 94Unnamed: 95Unnamed: 96Unnamed: 97Unnamed: 98Unnamed: 99Unnamed: 100Unnamed: 101Unnamed: 102Unnamed: 103Unnamed: 104Unnamed: 105Unnamed: 106Unnamed: 107Unnamed: 108Unnamed: 109Unnamed: 110Unnamed: 111Unnamed: 112Unnamed: 113Unnamed: 114Unnamed: 115Unnamed: 116Unnamed: 117Unnamed: 118Unnamed: 119Unnamed: 120Unnamed: 121Unnamed: 122Unnamed: 123Unnamed: 124Unnamed: 125Unnamed: 126Unnamed: 127Unnamed: 128Unnamed: 129
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>단위 : 천원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1<NA>지역7월8월9월10월11월12월2009년 (7월~12월)2010년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2011년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2012년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2013년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2014년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2015년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>누계회수 점유율(누계)회수점유율(최근월)
2<NA><NA><NA><NA><NA><NA><NA><NA><NA>1월2월3월4월5월6월7월8월9월10월11월12월소계1월2월3월4월5월6월7월8월9월10월11월12월소계1월2월3월4월5월6월7월8월(합계)9월(합계)10월(합계)11월(합계)12월(합계)소계1월(합계)2월(합계)3월(합계)4월(합계)5월(합계)6월(합계)7월(합계)8월(합계)9월(합계)10월(합계)11월(합계)12월 합계소계1월합계2월합계3월합계4월합계5월합계6월합계7월합계8월합계9월합계10월합계11월합계12월합계소계1월(1~6)1월(7~13)1월(14~20)1월(21~26)1월27일1월28일1월29일1월(30~31일)1월합계2월(1~3일)2월4일2월5일2월6일2월(7~9)2월10일2월11일2월12일2월(13~15)2월16일2월17일2월(18~24)2월(25~28)2월합계3월(1~10)3월(11~17)3월(18~24)3월(25~31)3월합계4월(1~7)4월(8~14)4월(15~21)4월(22~28)4월(29~30)4월합계5월(01~05)5월(06~12)5월(13~19)5월(20~26)5월(27~31)5월합계6월(01~09)6월(10~16)6월(17~23)6월(24~28)6월(29~30)6월합계7월(1~7)7월(7~14)7월(15~21)7월(22~28)7월(29~31)7월합계소계<NA><NA><NA>
39강원303,63039,94076,75532,01035,415187,78043,095112,33598,24054,31535,93534,60031,25538,980193,030157,795107,11599,6351,006,330123,755277,905155,565117,790169,280156,165143,755143,780985,300539,740430,655342,8953,586,585801,025598,355468,310397,795499,555451,060377,130320,485748,0002,256,670949,595642,7058,510,685618,2101,202,195753,205618,245548,515461,505415,795357,1651,303,9001,008,920727,390698,8508,713,895713,7151,087,555735,375601,300626,325588,425647,960639,5901,611,645851,935795,370800,3159,699,510193,060168,575137,150119,61032,55026,50518,36528,120723,93585,96027,65520,57027,69061,11028,02029,14533,88531,250107,32068,700419,740209,8851,150,930462,795241,495176,595182,5101,063,395197,075138,350123,740134,14049,030642,33574,705222,385149,770158,790108,960714,610227,150134,435132,81072,32079,640646,355183,890184,990201,160276,465145,995992,5005,934,06037,638,8452.2%3.1%
48경기2,2409,11086,925285,265211,010227,985822,535187,110778,265507,870253,445219,780194,230168,575192,5151,095,725861,435597,085727,0805,783,115688,4101,238,105996,815941,605852,010762,615886,635844,3557,880,8203,576,2002,226,2201,778,42522,672,2154,271,8152,995,0202,034,4801,508,5951,886,6551,601,9851,354,1951,113,6159,103,34517,336,2956,125,9903,660,65052,992,6403,013,0905,314,0302,924,9802,083,9552,137,0151,561,9451,301,6751,024,5357,553,9006,507,6103,745,8253,518,21040,686,7704,737,1056,889,3003,564,4602,363,2252,342,0752,394,9852,990,2753,126,6959,467,2055,185,6704,661,8204,533,92052,256,735880,310849,145802,585593,605163,900127,445130,720173,0903,720,800581,930171,485183,255132,965308,335257,315190,815215,150228,725652,415345,7802,212,0251,334,6606,814,8552,534,3501,224,1251,056,100919,2505,733,8251,082,480830,640743,905816,045332,6253,805,695334,3601,140,450813,325713,950558,1153,560,2001,152,120638,185587,570379,465543,6103,300,9501,166,0801,112,1001,200,8251,534,145908,7355,921,88532,858,210208,072,22012.2%13.9%
510경남10805100,505153,98574,12052,670382,09551,655476,335311,270167,19594,78558,58545,13548,195756,245565,885370,005336,3353,281,625448,150772,635445,150343,445341,965350,065342,360416,9052,323,9501,162,445861,620804,8808,613,5701,547,3651,198,135826,335800,3001,305,4001,030,360820,785668,0354,453,1257,161,4452,290,4301,334,58023,436,2951,162,2351,844,060959,605850,5951,714,0351,022,170737,540534,0402,250,5451,631,105968,1601,588,40515,262,4952,550,8252,353,0451,317,3051,121,2101,260,4101,409,3251,630,6851,942,8554,358,1401,986,6401,449,8851,569,30522,949,630291,860330,630279,070216,28556,23055,71547,35559,2601,336,405217,49564,85554,92067,015173,985106,060110,205123,775164,080505,985300,3851,275,715678,0553,842,5301,553,000748,635613,170497,4303,412,235574,330453,250399,435447,265140,8402,015,120220,395714,225468,165362,205296,7302,061,720678,900373,815291,875211,295238,3201,794,205696,590709,655713,580853,040455,7653,428,63017,890,84591,816,5555.4%4.8%
613경북8109,510101,385208,61083,10076,845480,26054,170429,175311,780142,530108,55574,85566,78554,905554,810360,810223,010213,1452,594,530279,635638,620324,750217,455217,520137,790158,545148,3652,112,845921,355573,480466,6906,197,0502,595,8401,398,070742,055985,5901,548,1101,297,890515,200511,8202,118,4605,077,5601,612,1501,025,44019,428,1852,002,1852,196,025943,180762,225958,200601,925525,500375,6251,915,4051,521,170870,740928,19013,600,3701,985,0602,236,0651,097,705993,8801,096,0701,003,9901,122,5351,305,0953,848,7801,973,1651,328,2701,576,01519,566,630341,475391,750403,835256,55559,04551,07043,09066,2001,613,020170,77053,88541,89565,645134,64560,84594,28585,565111,450245,070261,740949,060452,8052,727,660774,090427,975321,235308,1901,831,490287,210302,345309,525256,115105,4601,260,65594,355335,115368,070282,335170,9601,250,835431,055330,840264,025185,130200,4001,411,450636,380644,045780,050788,155367,0753,215,70513,310,81575,177,8404.4%5.7%
75광주805,07078,855117,93561,43045,020308,39038,805247,805106,28070,36555,73543,85536,39040,335337,460266,205170,755127,3401,541,330239,725298,570178,435119,905109,88077,05095,080119,7051,453,200592,595442,175397,4904,123,8101,035,585883,715592,960484,230450,040417,550347,675267,5951,786,1703,404,7951,193,785797,26011,661,360810,4151,467,960815,790611,295608,710448,465402,455280,1101,826,8301,590,6401,006,3201,004,68010,873,6701,186,6551,549,975910,905661,485767,555914,3701,906,0502,389,5403,542,2851,925,4251,591,6501,825,19519,171,090227,665372,060271,850257,63084,90546,36054,84035,8801,351,190178,005105,59058,01547,965123,61072,38559,10564,63564,480145,655130,215511,895548,8852,110,440791,655314,615306,980357,4401,770,690334,720318,710238,155250,840123,0651,265,490121,560462,560280,150246,280226,9751,337,525499,185332,245289,320126,940167,8451,415,535632,365564,935608,155571,565259,1952,636,21511,887,08559,566,7353.5%3.8%
811대구5,79529,73593,985164,58573,61549,515417,23042,035265,150230,540127,53082,46567,38545,96041,7401,171,105743,380373,455339,7853,530,530879,8251,299,880660,755454,260343,945235,850248,770252,3552,985,6451,408,930797,735655,28010,223,2301,892,4051,384,900774,140760,9651,591,2801,281,6751,010,655753,5102,895,4856,234,1602,573,2851,359,57022,512,0301,073,8412,694,3151,434,870952,175991,665770,865730,135565,2003,429,5402,948,9801,675,2001,692,81518,959,6012,594,5203,272,3051,663,3251,403,4051,588,0603,109,9505,181,5856,443,6609,866,4154,717,0953,206,0603,094,56046,140,940543,740689,965601,995464,390141,67095,450103,340109,5852,750,135378,710147,855133,695186,060251,170219,355197,465226,085255,610443,815394,4351,083,115703,9504,621,3201,728,710929,050726,425749,9354,134,120831,435796,645671,115575,305246,7153,121,215242,840991,270760,685611,665420,1753,026,6351,180,510767,385608,635309,650408,9353,275,1152,314,3402,052,1651,646,5901,634,905741,9558,389,95529,318,495131,102,0567.7%7.0%
915대전19518,185118,400298,640100,58563,920599,92557,980408,245251,280116,190100,260204,28599,23572,075586,295548,205255,540202,6752,902,265283,405562,600260,640147,885155,335276,770162,875183,5501,396,565672,805483,360380,0954,965,8851,009,395711,480403,580375,035467,200632,610335,375257,7651,167,4502,743,695956,925638,1509,698,660688,6351,187,395618,355510,025910,585765,395522,790309,6001,479,2001,104,485659,430645,9659,401,860882,3901,530,580745,990566,365971,4951,160,7451,021,170910,6602,324,9701,229,850893,615932,34013,170,170182,275208,980200,690116,59529,19032,53536,62531,245838,135106,99539,59527,62531,13562,48040,27045,06540,18553,265137,950125,415479,280251,2601,440,520668,970311,295225,205234,2951,439,765233,850194,395203,730183,13087,305902,410100,560328,475192,985187,165159,065968,250554,300299,585287,855149,655185,0901,476,485478,680419,195370,135469,365260,1551,997,5309,063,09549,801,8602.9%3.1%
Unnamed: 0Unnamed: 1온누리 상품권 지역별 회수 현황Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 75Unnamed: 76Unnamed: 77Unnamed: 78Unnamed: 79Unnamed: 80Unnamed: 81Unnamed: 82Unnamed: 83Unnamed: 84Unnamed: 85Unnamed: 86Unnamed: 87Unnamed: 88Unnamed: 89Unnamed: 90Unnamed: 91Unnamed: 92Unnamed: 93Unnamed: 94Unnamed: 95Unnamed: 96Unnamed: 97Unnamed: 98Unnamed: 99Unnamed: 100Unnamed: 101Unnamed: 102Unnamed: 103Unnamed: 104Unnamed: 105Unnamed: 106Unnamed: 107Unnamed: 108Unnamed: 109Unnamed: 110Unnamed: 111Unnamed: 112Unnamed: 113Unnamed: 114Unnamed: 115Unnamed: 116Unnamed: 117Unnamed: 118Unnamed: 119Unnamed: 120Unnamed: 121Unnamed: 122Unnamed: 123Unnamed: 124Unnamed: 125Unnamed: 126Unnamed: 127Unnamed: 128Unnamed: 129
197세종시----------------------------------------12,810118,4951,909,75073,52548,1852,162,76543,60587,56559,49049,63050,81536,01528,47519,155135,275120,62060,58057,080748,30586,635139,09070,77053,16576,51063,04052,80045,690145,33585,28558,21058,330934,86012,46515,19010,9807,0253,3002,6405501,86054,01010,1702,5502,0351,5403,4152,6457304,0403,75512,93010,27052,31020,430126,82057,88532,49023,02518,905132,30524,640371,47028,50028,9459,015462,57011,06029,10023,04519,98515,82599,01531,33019,64517,82510,37015,11094,28021,14017,12029,60525,84511,450105,1601,074,1604,920,0900.3%0.2%
20<NA>전자상품권(BC)<NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0227,32489,52762,71737,69930,15623,07320,30227,041734,9851,131,987703,866435,6063,524,283304,968346,714125,15099,59697,26386,334631,4290931,6001,693,900844,85751,3925,213,203-2,302,5221,421,6851,489,2701,132,0981,265,3431,570,9301,403,020450,7951,497,7711,004,9991,013,64514,552,0781,223,866------<NA>1,223,866<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2,732,895<NA><NA><NA><NA>1,009,999<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>-<NA><NA><NA><NA><NA>-<NA><NA><NA><NA><NA>-4,966,76028,256,3241.7%0.9%
21<NA>전자상품권(신협)<NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0-------15,06173,465148,238126,62741,622405,01311,52028,54334,862001,1271,72503,0003,0001,1802,10787,064------------0-------<NA>-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>-<NA><NA><NA><NA>-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>-492,0770.0%0.1%
22<NA>소계12,450137,4751,343,9152,564,1451,200,3501,055,8756,314,2101,025,5906,053,6354,809,5903,362,9052,597,3802,508,4802,840,1653,632,79512,280,22010,647,1307,661,9656,414,01563,833,8708,810,31013,676,85511,170,0708,850,3208,221,3107,176,7758,830,1108,011,47546,383,63024,421,38519,066,98016,365,910180,985,13036,492,99426,775,48720,537,88219,524,66924,256,71620,598,37816,410,61711,426,52250,347,97099,210,54037,493,11823,132,738386,207,63123,452,04438,217,90220,980,50716,401,22618,960,33313,677,03112,451,6999,057,51549,099,87041,747,41024,100,15723,685,024291,830,71832,315,99046,817,24728,055,96024,467,57024,054,74827,336,82838,445,04542,923,18582,438,60546,825,90136,881,29937,079,815467,642,1938,125,3518,181,4056,918,6655,185,0151,330,7751,213,7801,049,7701,319,59533,324,3564,543,1051,693,6101,458,7251,598,8752,652,3151,935,7401,917,6001,977,2352,227,6505,255,0603,548,52015,545,0309,889,49556,975,85520,906,57010,209,3508,417,0308,040,33048,583,2799,380,7007,900,1457,049,2956,830,9102,573,39533,734,4453,121,68010,703,2258,002,5206,586,8854,650,08033,064,39012,711,9107,343,5156,351,8403,282,2804,156,69533,846,24015,866,28014,358,83513,943,30513,939,1507,231,85565,339,425304,867,9901,701,681,742100.0%100.0%
23<NA>누계12,450149,9251,493,8404,057,9855,258,3356,314,2106,314,2107,339,80013,393,43518,203,02521,565,93024,163,31026,671,79029,511,95533,144,75045,424,97056,072,10063,734,06570,148,08070,148,08078,958,39092,635,245103,805,315112,655,635120,876,945128,053,720136,883,830144,895,305191,278,935215,700,320234,767,300251,133,210251,133,210287,626,204314,401,691334,939,573354,464,242378,720,958399,319,336415,729,953#REF!#REF!#REF!#REF!#REF!637,340,841660,792,885#REF!#REF!#REF!#REF!#REF!#REF!#REF!#REF!#REF!#REF!#REF!929,171,559961,487,5491,008,304,7961,036,360,7561,060,828,3261,084,883,0741,112,219,9021,150,664,9471,193,588,1321,276,026,7371,322,852,6381,359,733,9371,396,813,7521,396,813,7521,404,939,1031,413,120,5081,420,039,1731,425,224,1881,426,554,9631,427,768,7431,428,818,5131,430,138,1081,430,138,1081,434,681,2131,436,374,8231,437,833,5481,439,432,4231,442,084,7381,444,020,4781,445,938,0781,447,915,3131,450,142,9631,455,398,0231,458,946,5431,474,491,5731,484,381,0681,487,113,9631,508,020,5331,518,229,8831,526,646,9131,534,687,2431,535,697,2421,545,077,9421,552,978,0871,560,027,3821,566,858,2921,569,431,6871,569,431,6871,572,553,3671,583,256,5921,591,259,1121,597,845,9971,602,496,0771,602,496,0771,615,207,9871,622,551,5021,628,903,3421,632,185,6221,636,342,3171,636,342,3171,652,208,5971,666,567,4321,680,510,7371,694,449,8871,701,681,7421,701,681,742304,867,9901,701,681,7421<NA>
24<NA><NA><NA><NA><NA>수수료 청구가 365,000 많음청구가 360,000 적음청구가 10,000 적음<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>#REF!#REF!<NA>#REF!<NA>#REF!<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>-<NA><NA><NA>
25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
27<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

Unnamed: 0Unnamed: 1온누리 상품권 지역별 회수 현황Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 75Unnamed: 76Unnamed: 77Unnamed: 78Unnamed: 79Unnamed: 80Unnamed: 81Unnamed: 82Unnamed: 83Unnamed: 84Unnamed: 85Unnamed: 86Unnamed: 87Unnamed: 88Unnamed: 89Unnamed: 90Unnamed: 91Unnamed: 92Unnamed: 93Unnamed: 94Unnamed: 95Unnamed: 96Unnamed: 97Unnamed: 98Unnamed: 99Unnamed: 100Unnamed: 101Unnamed: 102Unnamed: 103Unnamed: 104Unnamed: 105Unnamed: 106Unnamed: 107Unnamed: 108Unnamed: 109Unnamed: 110Unnamed: 111Unnamed: 112Unnamed: 113Unnamed: 114Unnamed: 115Unnamed: 116Unnamed: 117Unnamed: 118Unnamed: 119Unnamed: 120Unnamed: 121Unnamed: 122Unnamed: 123Unnamed: 124Unnamed: 125Unnamed: 126Unnamed: 127Unnamed: 128Unnamed: 129# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4