Overview

Dataset statistics

Number of variables85
Number of observations380
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory256.9 KiB
Average record size in memory692.3 B

Variable types

Text73
Numeric12

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 상업용부동산 임대동향조사 중 집합상가의 분기별 층별임대료 및 층별효용비율 데이터입니다. - (단위:천원/㎡ , %) - 공표시기 : 계간(분기)
Author한국부동산원
URLhttps://www.data.go.kr/data/15069848/fileData.do

Alerts

시도 광역상권 하위상권 구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:12:08.212216
Analysis finished2023-12-12 07:12:10.179804
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct380
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:10.391694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length11.547368
Min length6

Characters and Unicode

Total characters4388
Distinct characters181
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

Unique380 ?
Unique (%)100.0%

Sample

1st row서울 임대료
2nd row서울 효용비율
3rd row서울 도심 임대료
4th row서울 도심 효용비율
5th row서울 도심 동대문 임대료
ValueCountFrequency (%)
효용비율 190
 
15.9%
임대료 190
 
15.9%
서울 76
 
6.4%
경기 70
 
5.9%
경남 40
 
3.4%
기타 38
 
3.2%
충남 28
 
2.3%
강남 22
 
1.8%
부산 22
 
1.8%
강원 18
 
1.5%
Other values (185) 498
41.8%
2023-12-12T16:12:11.166608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
812
18.5%
248
 
5.7%
196
 
4.5%
192
 
4.4%
190
 
4.3%
190
 
4.3%
190
 
4.3%
190
 
4.3%
124
 
2.8%
112
 
2.6%
Other values (171) 1944
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3568
81.3%
Space Separator 812
 
18.5%
Decimal Number 4
 
0.1%
Connector Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
248
 
7.0%
196
 
5.5%
192
 
5.4%
190
 
5.3%
190
 
5.3%
190
 
5.3%
190
 
5.3%
124
 
3.5%
112
 
3.1%
108
 
3.0%
Other values (166) 1828
51.2%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
812
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3568
81.3%
Common 820
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
248
 
7.0%
196
 
5.5%
192
 
5.4%
190
 
5.3%
190
 
5.3%
190
 
5.3%
190
 
5.3%
124
 
3.5%
112
 
3.1%
108
 
3.0%
Other values (166) 1828
51.2%
Common
ValueCountFrequency (%)
812
99.0%
_ 2
 
0.2%
2 2
 
0.2%
1 2
 
0.2%
/ 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3568
81.3%
ASCII 820
 
18.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
812
99.0%
_ 2
 
0.2%
2 2
 
0.2%
1 2
 
0.2%
/ 2
 
0.2%
Hangul
ValueCountFrequency (%)
248
 
7.0%
196
 
5.5%
192
 
5.4%
190
 
5.3%
190
 
5.3%
190
 
5.3%
190
 
5.3%
124
 
3.5%
112
 
3.1%
108
 
3.0%
Other values (166) 1828
51.2%
Distinct206
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:11.654585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.9368421
Min length1

Characters and Unicode

Total characters1116
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)38.2%

Sample

1st row12.8
2nd row25.8
3rd row24.5
4th row28.5
5th row46.1
ValueCountFrequency (%)
3.2 6
 
1.9%
5 6
 
1.9%
4.1 5
 
1.6%
4.6 4
 
1.3%
21.3 4
 
1.3%
3.9 4
 
1.3%
12.8 4
 
1.3%
4.8 4
 
1.3%
5.9 4
 
1.3%
6.6 4
 
1.3%
Other values (195) 265
85.5%
2023-12-12T16:12:12.370204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 276
24.7%
2 145
13.0%
1 135
12.1%
3 90
 
8.1%
4 80
 
7.2%
5 78
 
7.0%
6 75
 
6.7%
70
 
6.3%
9 52
 
4.7%
7 50
 
4.5%
Other values (2) 65
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 770
69.0%
Other Punctuation 276
 
24.7%
Space Separator 70
 
6.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 145
18.8%
1 135
17.5%
3 90
11.7%
4 80
10.4%
5 78
10.1%
6 75
9.7%
9 52
 
6.8%
7 50
 
6.5%
8 44
 
5.7%
0 21
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 276
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1116
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 276
24.7%
2 145
13.0%
1 135
12.1%
3 90
 
8.1%
4 80
 
7.2%
5 78
 
7.0%
6 75
 
6.7%
70
 
6.3%
9 52
 
4.7%
7 50
 
4.5%
Other values (2) 65
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 276
24.7%
2 145
13.0%
1 135
12.1%
3 90
 
8.1%
4 80
 
7.2%
5 78
 
7.0%
6 75
 
6.7%
70
 
6.3%
9 52
 
4.7%
7 50
 
4.5%
Other values (2) 65
 
5.8%

2014_1분기_1층
Real number (ℝ)

Distinct157
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.431842
Minimum4.1
Maximum163.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:12:12.535868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.39
Q126.275
median100
Q3100
95-th percentile100
Maximum163.2
Range159.1
Interquartile range (IQR)73.725

Descriptive statistics

Standard deviation37.190087
Coefficient of variation (CV)0.56837903
Kurtosis-1.6878498
Mean65.431842
Median Absolute Deviation (MAD)2
Skewness-0.20176431
Sum24864.1
Variance1383.1025
MonotonicityNot monotonic
2023-12-12T16:12:12.717351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
28.0 3
 
0.8%
16.4 3
 
0.8%
24.0 2
 
0.5%
30.6 2
 
0.5%
13.2 2
 
0.5%
20.7 2
 
0.5%
23.8 2
 
0.5%
26.3 2
 
0.5%
22.8 2
 
0.5%
Other values (147) 170
44.7%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.7 1
0.3%
7.8 2
0.5%
9.1 1
0.3%
9.3 1
0.3%
9.5 1
0.3%
9.7 1
0.3%
10.0 1
0.3%
10.6 1
0.3%
ValueCountFrequency (%)
163.2 1
 
0.3%
100.0 190
50.0%
96.0 1
 
0.3%
86.1 1
 
0.3%
79.0 1
 
0.3%
78.9 1
 
0.3%
72.2 2
 
0.5%
70.3 1
 
0.3%
68.3 1
 
0.3%
68.1 1
 
0.3%
Distinct270
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:13.211641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5684211
Min length1

Characters and Unicode

Total characters1356
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)51.1%

Sample

1st row22.7
2nd row45.7
3rd row53
4th row61.6
5th row63.5
ValueCountFrequency (%)
11.4 5
 
1.3%
9.4 4
 
1.1%
8.5 4
 
1.1%
11.2 4
 
1.1%
8.3 4
 
1.1%
8.7 4
 
1.1%
36.3 4
 
1.1%
38.9 4
 
1.1%
12.5 3
 
0.8%
6.2 3
 
0.8%
Other values (259) 337
89.6%
2023-12-12T16:12:13.913615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 345
25.4%
3 146
10.8%
1 140
10.3%
4 133
 
9.8%
2 118
 
8.7%
5 101
 
7.4%
6 95
 
7.0%
8 87
 
6.4%
7 85
 
6.3%
9 71
 
5.2%
Other values (2) 35
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1007
74.3%
Other Punctuation 345
 
25.4%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 146
14.5%
1 140
13.9%
4 133
13.2%
2 118
11.7%
5 101
10.0%
6 95
9.4%
8 87
8.6%
7 85
8.4%
9 71
7.1%
0 31
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 345
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1356
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 345
25.4%
3 146
10.8%
1 140
10.3%
4 133
 
9.8%
2 118
 
8.7%
5 101
 
7.4%
6 95
 
7.0%
8 87
 
6.4%
7 85
 
6.3%
9 71
 
5.2%
Other values (2) 35
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1356
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 345
25.4%
3 146
10.8%
1 140
10.3%
4 133
 
9.8%
2 118
 
8.7%
5 101
 
7.4%
6 95
 
7.0%
8 87
 
6.4%
7 85
 
6.3%
9 71
 
5.2%
Other values (2) 35
 
2.6%
Distinct251
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:14.403998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3631579
Min length1

Characters and Unicode

Total characters1278
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)46.6%

Sample

1st row18
2nd row36.3
3rd row39.6
4th row46
5th row51.3
ValueCountFrequency (%)
6.7 6
 
1.6%
8.5 6
 
1.6%
6.9 5
 
1.4%
6.3 5
 
1.4%
10.2 4
 
1.1%
30.2 4
 
1.1%
5.3 4
 
1.1%
7.5 4
 
1.1%
34.7 4
 
1.1%
8 4
 
1.1%
Other values (240) 324
87.6%
2023-12-12T16:12:15.064797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 322
25.2%
3 148
11.6%
2 136
10.6%
1 116
 
9.1%
6 104
 
8.1%
5 93
 
7.3%
4 90
 
7.0%
8 80
 
6.3%
7 76
 
5.9%
9 64
 
5.0%
Other values (2) 49
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 946
74.0%
Other Punctuation 322
 
25.2%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 148
15.6%
2 136
14.4%
1 116
12.3%
6 104
11.0%
5 93
9.8%
4 90
9.5%
8 80
8.5%
7 76
8.0%
9 64
6.8%
0 39
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 322
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 322
25.2%
3 148
11.6%
2 136
10.6%
1 116
 
9.1%
6 104
 
8.1%
5 93
 
7.3%
4 90
 
7.0%
8 80
 
6.3%
7 76
 
5.9%
9 64
 
5.0%
Other values (2) 49
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 322
25.2%
3 148
11.6%
2 136
10.6%
1 116
 
9.1%
6 104
 
8.1%
5 93
 
7.3%
4 90
 
7.0%
8 80
 
6.3%
7 76
 
5.9%
9 64
 
5.0%
Other values (2) 49
 
3.8%
Distinct229
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:15.599031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2973684
Min length1

Characters and Unicode

Total characters1253
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)38.7%

Sample

1st row14.5
2nd row29.3
3rd row10.9
4th row12.7
5th row39.5
ValueCountFrequency (%)
27.5 5
 
1.4%
6.9 5
 
1.4%
6.2 5
 
1.4%
6.3 5
 
1.4%
5.1 4
 
1.1%
5.8 4
 
1.1%
7.7 4
 
1.1%
7 4
 
1.1%
7.4 4
 
1.1%
22.7 4
 
1.1%
Other values (218) 310
87.6%
2023-12-12T16:12:16.195085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 320
25.5%
2 146
11.7%
1 129
10.3%
3 115
 
9.2%
4 96
 
7.7%
5 94
 
7.5%
7 84
 
6.7%
6 79
 
6.3%
8 71
 
5.7%
9 60
 
4.8%
Other values (2) 59
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 907
72.4%
Other Punctuation 320
 
25.5%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 146
16.1%
1 129
14.2%
3 115
12.7%
4 96
10.6%
5 94
10.4%
7 84
9.3%
6 79
8.7%
8 71
7.8%
9 60
6.6%
0 33
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 320
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 320
25.5%
2 146
11.7%
1 129
10.3%
3 115
 
9.2%
4 96
 
7.7%
5 94
 
7.5%
7 84
 
6.7%
6 79
 
6.3%
8 71
 
5.7%
9 60
 
4.8%
Other values (2) 59
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 320
25.5%
2 146
11.7%
1 129
10.3%
3 115
 
9.2%
4 96
 
7.7%
5 94
 
7.5%
7 84
 
6.7%
6 79
 
6.3%
8 71
 
5.7%
9 60
 
4.8%
Other values (2) 59
 
4.7%
Distinct216
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:16.659872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1078947
Min length1

Characters and Unicode

Total characters1181
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)38.2%

Sample

1st row14.7
2nd row29.6
3rd row10.4
4th row12
5th row16.8
ValueCountFrequency (%)
5.8 6
 
1.8%
7.2 6
 
1.8%
27.5 5
 
1.5%
10.4 5
 
1.5%
9 5
 
1.5%
6 5
 
1.5%
5.4 5
 
1.5%
5.9 5
 
1.5%
20.7 4
 
1.2%
5.5 4
 
1.2%
Other values (205) 282
84.9%
2023-12-12T16:12:17.284549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 294
24.9%
2 131
11.1%
1 111
 
9.4%
3 106
 
9.0%
5 103
 
8.7%
4 85
 
7.2%
6 83
 
7.0%
7 73
 
6.2%
8 59
 
5.0%
9 52
 
4.4%
Other values (2) 84
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 839
71.0%
Other Punctuation 294
 
24.9%
Space Separator 48
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 131
15.6%
1 111
13.2%
3 106
12.6%
5 103
12.3%
4 85
10.1%
6 83
9.9%
7 73
8.7%
8 59
7.0%
9 52
 
6.2%
0 36
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 294
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1181
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 294
24.9%
2 131
11.1%
1 111
 
9.4%
3 106
 
9.0%
5 103
 
8.7%
4 85
 
7.2%
6 83
 
7.0%
7 73
 
6.2%
8 59
 
5.0%
9 52
 
4.4%
Other values (2) 84
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 294
24.9%
2 131
11.1%
1 111
 
9.4%
3 106
 
9.0%
5 103
 
8.7%
4 85
 
7.2%
6 83
 
7.0%
7 73
 
6.2%
8 59
 
5.0%
9 52
 
4.4%
Other values (2) 84
 
7.1%
Distinct206
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:17.735770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9631579
Min length1

Characters and Unicode

Total characters1126
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)37.4%

Sample

1st row13.2
2nd row26.7
3rd row6.9
4th row8
5th row15.4
ValueCountFrequency (%)
5.6 7
 
2.3%
4.5 6
 
1.9%
5.5 5
 
1.6%
6.3 5
 
1.6%
5.8 5
 
1.6%
6.8 5
 
1.6%
5.2 4
 
1.3%
15.7 4
 
1.3%
5 4
 
1.3%
31 3
 
1.0%
Other values (195) 260
84.4%
2023-12-12T16:12:18.354841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 279
24.8%
1 125
11.1%
2 119
10.6%
5 96
 
8.5%
3 90
 
8.0%
6 80
 
7.1%
72
 
6.4%
4 70
 
6.2%
7 65
 
5.8%
8 60
 
5.3%
Other values (2) 70
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 775
68.8%
Other Punctuation 279
 
24.8%
Space Separator 72
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 125
16.1%
2 119
15.4%
5 96
12.4%
3 90
11.6%
6 80
10.3%
4 70
9.0%
7 65
8.4%
8 60
7.7%
9 48
 
6.2%
0 22
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 279
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1126
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 279
24.8%
1 125
11.1%
2 119
10.6%
5 96
 
8.5%
3 90
 
8.0%
6 80
 
7.1%
72
 
6.4%
4 70
 
6.2%
7 65
 
5.8%
8 60
 
5.3%
Other values (2) 70
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 279
24.8%
1 125
11.1%
2 119
10.6%
5 96
 
8.5%
3 90
 
8.0%
6 80
 
7.1%
72
 
6.4%
4 70
 
6.2%
7 65
 
5.8%
8 60
 
5.3%
Other values (2) 70
 
6.2%
Distinct196
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:18.950571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.9315789
Min length1

Characters and Unicode

Total characters1114
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)32.6%

Sample

1st row12.8
2nd row25.8
3rd row24.5
4th row28.5
5th row46.1
ValueCountFrequency (%)
5 6
 
1.9%
3.2 5
 
1.6%
6.6 4
 
1.3%
4.1 4
 
1.3%
4.8 4
 
1.3%
12.8 4
 
1.3%
4.6 4
 
1.3%
4.2 4
 
1.3%
3.9 4
 
1.3%
17.2 3
 
1.0%
Other values (185) 268
86.5%
2023-12-12T16:12:19.624394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 275
24.7%
2 141
12.7%
1 133
11.9%
3 89
 
8.0%
4 84
 
7.5%
5 83
 
7.5%
70
 
6.3%
6 69
 
6.2%
7 52
 
4.7%
8 48
 
4.3%
Other values (2) 70
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 769
69.0%
Other Punctuation 275
 
24.7%
Space Separator 70
 
6.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 141
18.3%
1 133
17.3%
3 89
11.6%
4 84
10.9%
5 83
10.8%
6 69
9.0%
7 52
 
6.8%
8 48
 
6.2%
9 45
 
5.9%
0 25
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 275
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1114
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 275
24.7%
2 141
12.7%
1 133
11.9%
3 89
 
8.0%
4 84
 
7.5%
5 83
 
7.5%
70
 
6.3%
6 69
 
6.2%
7 52
 
4.7%
8 48
 
4.3%
Other values (2) 70
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 275
24.7%
2 141
12.7%
1 133
11.9%
3 89
 
8.0%
4 84
 
7.5%
5 83
 
7.5%
70
 
6.3%
6 69
 
6.2%
7 52
 
4.7%
8 48
 
4.3%
Other values (2) 70
 
6.3%

2014_2분기_1층
Real number (ℝ)

Distinct155
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.435263
Minimum4.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:12:19.832081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.39
Q126.275
median100
Q3100
95-th percentile100
Maximum163.3
Range159.2
Interquartile range (IQR)73.725

Descriptive statistics

Standard deviation37.193615
Coefficient of variation (CV)0.56840324
Kurtosis-1.6870387
Mean65.435263
Median Absolute Deviation (MAD)2
Skewness-0.20219943
Sum24865.4
Variance1383.365
MonotonicityNot monotonic
2023-12-12T16:12:20.027442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
23.9 3
 
0.8%
16.4 3
 
0.8%
16.2 3
 
0.8%
12.6 3
 
0.8%
22.1 3
 
0.8%
17.5 2
 
0.5%
26.3 2
 
0.5%
17.0 2
 
0.5%
23.1 2
 
0.5%
Other values (145) 167
43.9%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.7 1
0.3%
7.8 1
0.3%
7.9 1
0.3%
9.2 1
0.3%
9.3 1
0.3%
9.5 1
0.3%
9.7 1
0.3%
10.0 1
0.3%
ValueCountFrequency (%)
163.3 1
 
0.3%
100.0 190
50.0%
96.0 1
 
0.3%
86.1 1
 
0.3%
79.1 1
 
0.3%
78.8 1
 
0.3%
72.5 1
 
0.3%
72.2 1
 
0.3%
70.7 1
 
0.3%
68.3 1
 
0.3%
Distinct271
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:20.487395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5526316
Min length1

Characters and Unicode

Total characters1350
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)51.1%

Sample

1st row22.7
2nd row45.7
3rd row53
4th row61.6
5th row63.5
ValueCountFrequency (%)
11.4 5
 
1.3%
8.5 4
 
1.1%
7.9 4
 
1.1%
6.2 4
 
1.1%
9 4
 
1.1%
6.6 4
 
1.1%
9.4 4
 
1.1%
8.9 3
 
0.8%
8.3 3
 
0.8%
7.5 3
 
0.8%
Other values (260) 338
89.9%
2023-12-12T16:12:21.178227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 342
25.3%
1 153
11.3%
3 140
10.4%
4 133
 
9.9%
2 109
 
8.1%
5 103
 
7.6%
6 94
 
7.0%
7 83
 
6.1%
9 81
 
6.0%
8 78
 
5.8%
Other values (2) 34
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1004
74.4%
Other Punctuation 342
 
25.3%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 153
15.2%
3 140
13.9%
4 133
13.2%
2 109
10.9%
5 103
10.3%
6 94
9.4%
7 83
8.3%
9 81
8.1%
8 78
7.8%
0 30
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 342
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 342
25.3%
1 153
11.3%
3 140
10.4%
4 133
 
9.9%
2 109
 
8.1%
5 103
 
7.6%
6 94
 
7.0%
7 83
 
6.1%
9 81
 
6.0%
8 78
 
5.8%
Other values (2) 34
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 342
25.3%
1 153
11.3%
3 140
10.4%
4 133
 
9.9%
2 109
 
8.1%
5 103
 
7.6%
6 94
 
7.0%
7 83
 
6.1%
9 81
 
6.0%
8 78
 
5.8%
Other values (2) 34
 
2.5%
Distinct241
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:21.701197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3789474
Min length1

Characters and Unicode

Total characters1284
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)42.4%

Sample

1st row18
2nd row36.2
3rd row39.6
4th row46
5th row51.3
ValueCountFrequency (%)
8.5 6
 
1.6%
6.9 6
 
1.6%
6.6 5
 
1.4%
6 5
 
1.4%
7.5 5
 
1.4%
6.7 5
 
1.4%
6.3 5
 
1.4%
8.3 4
 
1.1%
14.9 4
 
1.1%
26.5 4
 
1.1%
Other values (230) 321
86.8%
2023-12-12T16:12:22.387291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 325
25.3%
3 151
11.8%
2 133
10.4%
1 113
 
8.8%
5 103
 
8.0%
6 96
 
7.5%
4 89
 
6.9%
7 81
 
6.3%
8 79
 
6.2%
9 67
 
5.2%
Other values (2) 47
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 949
73.9%
Other Punctuation 325
 
25.3%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 151
15.9%
2 133
14.0%
1 113
11.9%
5 103
10.9%
6 96
10.1%
4 89
9.4%
7 81
8.5%
8 79
8.3%
9 67
7.1%
0 37
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 325
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1284
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 325
25.3%
3 151
11.8%
2 133
10.4%
1 113
 
8.8%
5 103
 
8.0%
6 96
 
7.5%
4 89
 
6.9%
7 81
 
6.3%
8 79
 
6.2%
9 67
 
5.2%
Other values (2) 47
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 325
25.3%
3 151
11.8%
2 133
10.4%
1 113
 
8.8%
5 103
 
8.0%
6 96
 
7.5%
4 89
 
6.9%
7 81
 
6.3%
8 79
 
6.2%
9 67
 
5.2%
Other values (2) 47
 
3.7%
Distinct235
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:22.896266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2763158
Min length1

Characters and Unicode

Total characters1245
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)42.4%

Sample

1st row14.5
2nd row29.3
3rd row10.9
4th row12.7
5th row39.5
ValueCountFrequency (%)
6.9 6
 
1.7%
6.3 5
 
1.4%
6.2 5
 
1.4%
21 4
 
1.1%
7.7 4
 
1.1%
5.8 4
 
1.1%
5.7 4
 
1.1%
5.1 4
 
1.1%
7.4 4
 
1.1%
5.5 4
 
1.1%
Other values (224) 310
87.6%
2023-12-12T16:12:23.530334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 316
25.4%
2 148
11.9%
1 128
10.3%
3 115
 
9.2%
5 92
 
7.4%
4 90
 
7.2%
7 84
 
6.7%
6 83
 
6.7%
8 68
 
5.5%
9 63
 
5.1%
Other values (2) 58
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 903
72.5%
Other Punctuation 316
 
25.4%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 148
16.4%
1 128
14.2%
3 115
12.7%
5 92
10.2%
4 90
10.0%
7 84
9.3%
6 83
9.2%
8 68
7.5%
9 63
7.0%
0 32
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 316
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 316
25.4%
2 148
11.9%
1 128
10.3%
3 115
 
9.2%
5 92
 
7.4%
4 90
 
7.2%
7 84
 
6.7%
6 83
 
6.7%
8 68
 
5.5%
9 63
 
5.1%
Other values (2) 58
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 316
25.4%
2 148
11.9%
1 128
10.3%
3 115
 
9.2%
5 92
 
7.4%
4 90
 
7.2%
7 84
 
6.7%
6 83
 
6.7%
8 68
 
5.5%
9 63
 
5.1%
Other values (2) 58
 
4.7%
Distinct216
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:24.048369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3.5
Mean length3.1157895
Min length1

Characters and Unicode

Total characters1184
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)37.9%

Sample

1st row14.6
2nd row29.3
3rd row9.5
4th row11.1
5th row14.8
ValueCountFrequency (%)
5.8 6
 
1.8%
7.2 6
 
1.8%
6 5
 
1.5%
27.5 5
 
1.5%
9 5
 
1.5%
5.4 5
 
1.5%
6.6 4
 
1.2%
10.4 4
 
1.2%
5.5 4
 
1.2%
20.7 4
 
1.2%
Other values (205) 284
85.5%
2023-12-12T16:12:24.753315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 296
25.0%
2 130
11.0%
1 113
 
9.5%
3 106
 
9.0%
5 105
 
8.9%
4 88
 
7.4%
6 83
 
7.0%
7 68
 
5.7%
8 58
 
4.9%
9 55
 
4.6%
Other values (2) 82
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 840
70.9%
Other Punctuation 296
 
25.0%
Space Separator 48
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 130
15.5%
1 113
13.5%
3 106
12.6%
5 105
12.5%
4 88
10.5%
6 83
9.9%
7 68
8.1%
8 58
6.9%
9 55
6.5%
0 34
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 296
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 296
25.0%
2 130
11.0%
1 113
 
9.5%
3 106
 
9.0%
5 105
 
8.9%
4 88
 
7.4%
6 83
 
7.0%
7 68
 
5.7%
8 58
 
4.9%
9 55
 
4.6%
Other values (2) 82
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 296
25.0%
2 130
11.0%
1 113
 
9.5%
3 106
 
9.0%
5 105
 
8.9%
4 88
 
7.4%
6 83
 
7.0%
7 68
 
5.7%
8 58
 
4.9%
9 55
 
4.6%
Other values (2) 82
 
6.9%
Distinct203
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:25.285974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9631579
Min length1

Characters and Unicode

Total characters1126
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)36.1%

Sample

1st row13.1
2nd row26.4
3rd row6.2
4th row7.2
5th row12.4
ValueCountFrequency (%)
5.6 7
 
2.3%
4.5 6
 
1.9%
5.5 5
 
1.6%
6.8 5
 
1.6%
6.3 5
 
1.6%
5.8 5
 
1.6%
6.2 4
 
1.3%
15.8 4
 
1.3%
5.2 4
 
1.3%
5 4
 
1.3%
Other values (192) 259
84.1%
2023-12-12T16:12:25.985617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 279
24.8%
1 125
11.1%
2 117
10.4%
5 99
 
8.8%
3 90
 
8.0%
6 78
 
6.9%
4 73
 
6.5%
72
 
6.4%
8 65
 
5.8%
7 62
 
5.5%
Other values (2) 66
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 775
68.8%
Other Punctuation 279
 
24.8%
Space Separator 72
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 125
16.1%
2 117
15.1%
5 99
12.8%
3 90
11.6%
6 78
10.1%
4 73
9.4%
8 65
8.4%
7 62
8.0%
9 44
 
5.7%
0 22
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 279
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1126
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 279
24.8%
1 125
11.1%
2 117
10.4%
5 99
 
8.8%
3 90
 
8.0%
6 78
 
6.9%
4 73
 
6.5%
72
 
6.4%
8 65
 
5.8%
7 62
 
5.5%
Other values (2) 66
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 279
24.8%
1 125
11.1%
2 117
10.4%
5 99
 
8.8%
3 90
 
8.0%
6 78
 
6.9%
4 73
 
6.5%
72
 
6.4%
8 65
 
5.8%
7 62
 
5.5%
Other values (2) 66
 
5.9%
Distinct200
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:26.460702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.9578947
Min length1

Characters and Unicode

Total characters1124
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)33.9%

Sample

1st row12.8
2nd row25.9
3rd row24.5
4th row28.5
5th row46.1
ValueCountFrequency (%)
5 6
 
1.9%
3.2 5
 
1.6%
3.5 4
 
1.3%
4.6 4
 
1.3%
6.6 4
 
1.3%
5.9 4
 
1.3%
4.8 4
 
1.3%
3.9 4
 
1.3%
4.2 4
 
1.3%
8.3 3
 
1.0%
Other values (189) 268
86.5%
2023-12-12T16:12:27.014799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 280
24.9%
2 142
12.6%
1 140
12.5%
5 90
 
8.0%
3 87
 
7.7%
4 76
 
6.8%
70
 
6.2%
6 69
 
6.1%
9 52
 
4.6%
7 52
 
4.6%
Other values (2) 66
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 774
68.9%
Other Punctuation 280
 
24.9%
Space Separator 70
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 142
18.3%
1 140
18.1%
5 90
11.6%
3 87
11.2%
4 76
9.8%
6 69
8.9%
9 52
 
6.7%
7 52
 
6.7%
8 44
 
5.7%
0 22
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 280
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1124
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 280
24.9%
2 142
12.6%
1 140
12.5%
5 90
 
8.0%
3 87
 
7.7%
4 76
 
6.8%
70
 
6.2%
6 69
 
6.1%
9 52
 
4.6%
7 52
 
4.6%
Other values (2) 66
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 280
24.9%
2 142
12.6%
1 140
12.5%
5 90
 
8.0%
3 87
 
7.7%
4 76
 
6.8%
70
 
6.2%
6 69
 
6.1%
9 52
 
4.6%
7 52
 
4.6%
Other values (2) 66
 
5.9%

2014_3분기_1층
Real number (ℝ)

Distinct158
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.435789
Minimum4.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:12:27.166749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.77
Q126.3
median100
Q3100
95-th percentile100
Maximum163.3
Range159.2
Interquartile range (IQR)73.7

Descriptive statistics

Standard deviation37.188589
Coefficient of variation (CV)0.56832185
Kurtosis-1.6876421
Mean65.435789
Median Absolute Deviation (MAD)2
Skewness-0.20162773
Sum24865.6
Variance1382.9912
MonotonicityNot monotonic
2023-12-12T16:12:27.317161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
13.8 3
 
0.8%
16.4 3
 
0.8%
20.7 3
 
0.8%
24.1 3
 
0.8%
28.2 2
 
0.5%
19.7 2
 
0.5%
26.8 2
 
0.5%
29.1 2
 
0.5%
15.1 2
 
0.5%
Other values (148) 168
44.2%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.7 1
0.3%
7.8 1
0.3%
8.0 1
0.3%
9.2 1
0.3%
9.4 1
0.3%
9.5 1
0.3%
9.7 1
0.3%
10.0 1
0.3%
ValueCountFrequency (%)
163.3 1
 
0.3%
100.0 190
50.0%
96.0 1
 
0.3%
86.1 1
 
0.3%
79.1 1
 
0.3%
78.8 1
 
0.3%
72.5 1
 
0.3%
72.2 1
 
0.3%
70.7 1
 
0.3%
68.3 1
 
0.3%
Distinct267
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:27.713154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5815789
Min length1

Characters and Unicode

Total characters1361
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)48.9%

Sample

1st row22.7
2nd row45.7
3rd row53
4th row61.6
5th row63.5
ValueCountFrequency (%)
7.9 5
 
1.3%
8.5 4
 
1.1%
9.4 4
 
1.1%
9 4
 
1.1%
45.8 4
 
1.1%
10.5 4
 
1.1%
6.6 4
 
1.1%
6.2 4
 
1.1%
35.7 3
 
0.8%
43.5 3
 
0.8%
Other values (256) 337
89.6%
2023-12-12T16:12:28.270862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 348
25.6%
1 158
11.6%
3 138
 
10.1%
4 126
 
9.3%
2 114
 
8.4%
5 113
 
8.3%
7 88
 
6.5%
6 87
 
6.4%
9 78
 
5.7%
8 78
 
5.7%
Other values (2) 33
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1009
74.1%
Other Punctuation 348
 
25.6%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 158
15.7%
3 138
13.7%
4 126
12.5%
2 114
11.3%
5 113
11.2%
7 88
8.7%
6 87
8.6%
9 78
7.7%
8 78
7.7%
0 29
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 348
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1361
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 348
25.6%
1 158
11.6%
3 138
 
10.1%
4 126
 
9.3%
2 114
 
8.4%
5 113
 
8.3%
7 88
 
6.5%
6 87
 
6.4%
9 78
 
5.7%
8 78
 
5.7%
Other values (2) 33
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1361
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 348
25.6%
1 158
11.6%
3 138
 
10.1%
4 126
 
9.3%
2 114
 
8.4%
5 113
 
8.3%
7 88
 
6.5%
6 87
 
6.4%
9 78
 
5.7%
8 78
 
5.7%
Other values (2) 33
 
2.4%
Distinct249
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:28.723952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3947368
Min length1

Characters and Unicode

Total characters1290
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)45.8%

Sample

1st row18
2nd row36.3
3rd row39.6
4th row46
5th row51.3
ValueCountFrequency (%)
6.9 6
 
1.6%
6.6 6
 
1.6%
6.7 5
 
1.4%
6 5
 
1.4%
35.6 4
 
1.1%
4.7 4
 
1.1%
8.5 4
 
1.1%
8.7 4
 
1.1%
8.3 4
 
1.1%
6.3 4
 
1.1%
Other values (238) 324
87.6%
2023-12-12T16:12:29.330178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 328
25.4%
3 149
11.6%
2 130
 
10.1%
1 118
 
9.1%
6 106
 
8.2%
5 95
 
7.4%
4 88
 
6.8%
7 82
 
6.4%
8 80
 
6.2%
9 68
 
5.3%
Other values (2) 46
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 952
73.8%
Other Punctuation 328
 
25.4%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 149
15.7%
2 130
13.7%
1 118
12.4%
6 106
11.1%
5 95
10.0%
4 88
9.2%
7 82
8.6%
8 80
8.4%
9 68
7.1%
0 36
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 328
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 328
25.4%
3 149
11.6%
2 130
 
10.1%
1 118
 
9.1%
6 106
 
8.2%
5 95
 
7.4%
4 88
 
6.8%
7 82
 
6.4%
8 80
 
6.2%
9 68
 
5.3%
Other values (2) 46
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 328
25.4%
3 149
11.6%
2 130
 
10.1%
1 118
 
9.1%
6 106
 
8.2%
5 95
 
7.4%
4 88
 
6.8%
7 82
 
6.4%
8 80
 
6.2%
9 68
 
5.3%
Other values (2) 46
 
3.6%
Distinct241
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:29.799984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2868421
Min length1

Characters and Unicode

Total characters1249
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)44.2%

Sample

1st row14.5
2nd row29.3
3rd row10.9
4th row12.7
5th row39.5
ValueCountFrequency (%)
6.9 6
 
1.7%
6.2 5
 
1.4%
5.1 5
 
1.4%
6.3 5
 
1.4%
7 5
 
1.4%
7.7 4
 
1.1%
5.7 4
 
1.1%
22.7 4
 
1.1%
6.6 3
 
0.8%
7.4 3
 
0.8%
Other values (230) 310
87.6%
2023-12-12T16:12:30.347047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 318
25.5%
2 152
12.2%
1 132
10.6%
3 112
 
9.0%
4 89
 
7.1%
6 88
 
7.0%
7 85
 
6.8%
5 83
 
6.6%
8 70
 
5.6%
9 61
 
4.9%
Other values (2) 59
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 905
72.5%
Other Punctuation 318
 
25.5%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 152
16.8%
1 132
14.6%
3 112
12.4%
4 89
9.8%
6 88
9.7%
7 85
9.4%
5 83
9.2%
8 70
7.7%
9 61
6.7%
0 33
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 318
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1249
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 318
25.5%
2 152
12.2%
1 132
10.6%
3 112
 
9.0%
4 89
 
7.1%
6 88
 
7.0%
7 85
 
6.8%
5 83
 
6.6%
8 70
 
5.6%
9 61
 
4.9%
Other values (2) 59
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 318
25.5%
2 152
12.2%
1 132
10.6%
3 112
 
9.0%
4 89
 
7.1%
6 88
 
7.0%
7 85
 
6.8%
5 83
 
6.6%
8 70
 
5.6%
9 61
 
4.9%
Other values (2) 59
 
4.7%
Distinct219
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:30.806756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1052632
Min length1

Characters and Unicode

Total characters1180
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)38.2%

Sample

1st row14.6
2nd row29.4
3rd row9.5
4th row11.1
5th row14.8
ValueCountFrequency (%)
5.8 6
 
1.8%
7.2 6
 
1.8%
6 6
 
1.8%
5.9 5
 
1.5%
9 5
 
1.5%
5.4 5
 
1.5%
6.6 4
 
1.2%
5.5 4
 
1.2%
15.4 4
 
1.2%
10.4 4
 
1.2%
Other values (208) 283
85.2%
2023-12-12T16:12:31.385930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 294
24.9%
2 131
11.1%
1 109
 
9.2%
3 104
 
8.8%
5 103
 
8.7%
4 96
 
8.1%
6 80
 
6.8%
7 70
 
5.9%
8 58
 
4.9%
9 57
 
4.8%
Other values (2) 78
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 838
71.0%
Other Punctuation 294
 
24.9%
Space Separator 48
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 131
15.6%
1 109
13.0%
3 104
12.4%
5 103
12.3%
4 96
11.5%
6 80
9.5%
7 70
8.4%
8 58
6.9%
9 57
6.8%
0 30
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 294
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 294
24.9%
2 131
11.1%
1 109
 
9.2%
3 104
 
8.8%
5 103
 
8.7%
4 96
 
8.1%
6 80
 
6.8%
7 70
 
5.9%
8 58
 
4.9%
9 57
 
4.8%
Other values (2) 78
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 294
24.9%
2 131
11.1%
1 109
 
9.2%
3 104
 
8.8%
5 103
 
8.7%
4 96
 
8.1%
6 80
 
6.8%
7 70
 
5.9%
8 58
 
4.9%
9 57
 
4.8%
Other values (2) 78
 
6.6%
Distinct202
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:31.813667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9473684
Min length1

Characters and Unicode

Total characters1120
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)36.1%

Sample

1st row13.1
2nd row26.4
3rd row6.2
4th row7.2
5th row12.4
ValueCountFrequency (%)
5.6 7
 
2.3%
4.5 6
 
1.9%
6.3 6
 
1.9%
5.8 5
 
1.6%
23.7 5
 
1.6%
26.4 4
 
1.3%
5.5 4
 
1.3%
6.8 4
 
1.3%
5 4
 
1.3%
4.3 4
 
1.3%
Other values (191) 259
84.1%
2023-12-12T16:12:32.429787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 276
24.6%
1 121
10.8%
2 112
10.0%
3 94
 
8.4%
5 90
 
8.0%
6 80
 
7.1%
4 77
 
6.9%
72
 
6.4%
7 65
 
5.8%
8 61
 
5.4%
Other values (2) 72
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 772
68.9%
Other Punctuation 276
 
24.6%
Space Separator 72
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 121
15.7%
2 112
14.5%
3 94
12.2%
5 90
11.7%
6 80
10.4%
4 77
10.0%
7 65
8.4%
8 61
7.9%
9 49
6.3%
0 23
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 276
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1120
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 276
24.6%
1 121
10.8%
2 112
10.0%
3 94
 
8.4%
5 90
 
8.0%
6 80
 
7.1%
4 77
 
6.9%
72
 
6.4%
7 65
 
5.8%
8 61
 
5.4%
Other values (2) 72
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 276
24.6%
1 121
10.8%
2 112
10.0%
3 94
 
8.4%
5 90
 
8.0%
6 80
 
7.1%
4 77
 
6.9%
72
 
6.4%
7 65
 
5.8%
8 61
 
5.4%
Other values (2) 72
 
6.4%
Distinct197
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:32.903776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.9526316
Min length1

Characters and Unicode

Total characters1122
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)32.1%

Sample

1st row12.8
2nd row25.8
3rd row24.5
4th row28.4
5th row46.1
ValueCountFrequency (%)
5 6
 
1.9%
3.2 5
 
1.6%
5.9 4
 
1.3%
2.2 4
 
1.3%
3.9 4
 
1.3%
6.6 4
 
1.3%
4.6 4
 
1.3%
4.7 4
 
1.3%
15.7 3
 
1.0%
4.4 3
 
1.0%
Other values (186) 269
86.8%
2023-12-12T16:12:33.546739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 280
25.0%
2 138
12.3%
1 134
11.9%
3 86
 
7.7%
5 84
 
7.5%
6 76
 
6.8%
4 75
 
6.7%
70
 
6.2%
7 55
 
4.9%
9 54
 
4.8%
Other values (2) 70
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 772
68.8%
Other Punctuation 280
 
25.0%
Space Separator 70
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 138
17.9%
1 134
17.4%
3 86
11.1%
5 84
10.9%
6 76
9.8%
4 75
9.7%
7 55
 
7.1%
9 54
 
7.0%
8 47
 
6.1%
0 23
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 280
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1122
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 280
25.0%
2 138
12.3%
1 134
11.9%
3 86
 
7.7%
5 84
 
7.5%
6 76
 
6.8%
4 75
 
6.7%
70
 
6.2%
7 55
 
4.9%
9 54
 
4.8%
Other values (2) 70
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 280
25.0%
2 138
12.3%
1 134
11.9%
3 86
 
7.7%
5 84
 
7.5%
6 76
 
6.8%
4 75
 
6.7%
70
 
6.2%
7 55
 
4.9%
9 54
 
4.8%
Other values (2) 70
 
6.2%

2014_4분기_1층
Real number (ℝ)

Distinct156
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.418421
Minimum4.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:12:33.709006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.765
Q126.275
median100
Q3100
95-th percentile100
Maximum163.3
Range159.2
Interquartile range (IQR)73.725

Descriptive statistics

Standard deviation37.207746
Coefficient of variation (CV)0.56876558
Kurtosis-1.6887727
Mean65.418421
Median Absolute Deviation (MAD)2
Skewness-0.2013292
Sum24859
Variance1384.4164
MonotonicityNot monotonic
2023-12-12T16:12:33.894964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
19.7 3
 
0.8%
16.4 3
 
0.8%
23.3 3
 
0.8%
13.8 3
 
0.8%
62.6 2
 
0.5%
16.2 2
 
0.5%
17.1 2
 
0.5%
24.3 2
 
0.5%
15.1 2
 
0.5%
Other values (146) 168
44.2%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.7 1
0.3%
7.8 1
0.3%
8.0 1
0.3%
9.2 1
0.3%
9.4 1
0.3%
9.5 1
0.3%
9.7 1
0.3%
10.0 1
0.3%
ValueCountFrequency (%)
163.3 1
 
0.3%
100.0 190
50.0%
96.0 1
 
0.3%
86.2 1
 
0.3%
79.1 1
 
0.3%
78.9 1
 
0.3%
73.0 1
 
0.3%
72.5 1
 
0.3%
70.7 1
 
0.3%
68.3 1
 
0.3%
Distinct259
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:34.342055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5657895
Min length1

Characters and Unicode

Total characters1355
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)46.1%

Sample

1st row22.6
2nd row45.7
3rd row53
4th row61.6
5th row63.5
ValueCountFrequency (%)
7.9 5
 
1.3%
41.5 4
 
1.1%
8.5 4
 
1.1%
9 4
 
1.1%
9.4 4
 
1.1%
6.6 4
 
1.1%
36.2 4
 
1.1%
45.8 4
 
1.1%
10.5 4
 
1.1%
12.5 4
 
1.1%
Other values (248) 335
89.1%
2023-12-12T16:12:35.300837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 345
25.5%
1 153
11.3%
3 141
10.4%
4 121
 
8.9%
5 120
 
8.9%
2 108
 
8.0%
6 88
 
6.5%
7 87
 
6.4%
9 80
 
5.9%
8 79
 
5.8%
Other values (2) 33
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1006
74.2%
Other Punctuation 345
 
25.5%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 153
15.2%
3 141
14.0%
4 121
12.0%
5 120
11.9%
2 108
10.7%
6 88
8.7%
7 87
8.6%
9 80
8.0%
8 79
7.9%
0 29
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 345
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1355
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 345
25.5%
1 153
11.3%
3 141
10.4%
4 121
 
8.9%
5 120
 
8.9%
2 108
 
8.0%
6 88
 
6.5%
7 87
 
6.4%
9 80
 
5.9%
8 79
 
5.8%
Other values (2) 33
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1355
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 345
25.5%
1 153
11.3%
3 141
10.4%
4 121
 
8.9%
5 120
 
8.9%
2 108
 
8.0%
6 88
 
6.5%
7 87
 
6.4%
9 80
 
5.9%
8 79
 
5.8%
Other values (2) 33
 
2.4%
Distinct243
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:35.779959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4210526
Min length1

Characters and Unicode

Total characters1300
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)41.8%

Sample

1st row18
2nd row36.3
3rd row39.6
4th row46
5th row51.3
ValueCountFrequency (%)
6.6 6
 
1.6%
6.9 6
 
1.6%
6.7 5
 
1.4%
8.7 4
 
1.1%
6.3 4
 
1.1%
8.3 4
 
1.1%
6 4
 
1.1%
7.6 4
 
1.1%
4.7 4
 
1.1%
8 3
 
0.8%
Other values (232) 326
88.1%
2023-12-12T16:12:36.490010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 333
25.6%
3 155
11.9%
2 127
 
9.8%
1 123
 
9.5%
6 104
 
8.0%
5 96
 
7.4%
4 88
 
6.8%
8 82
 
6.3%
7 80
 
6.2%
9 63
 
4.8%
Other values (2) 49
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 957
73.6%
Other Punctuation 333
 
25.6%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 155
16.2%
2 127
13.3%
1 123
12.9%
6 104
10.9%
5 96
10.0%
4 88
9.2%
8 82
8.6%
7 80
8.4%
9 63
6.6%
0 39
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 333
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 333
25.6%
3 155
11.9%
2 127
 
9.8%
1 123
 
9.5%
6 104
 
8.0%
5 96
 
7.4%
4 88
 
6.8%
8 82
 
6.3%
7 80
 
6.2%
9 63
 
4.8%
Other values (2) 49
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 333
25.6%
3 155
11.9%
2 127
 
9.8%
1 123
 
9.5%
6 104
 
8.0%
5 96
 
7.4%
4 88
 
6.8%
8 82
 
6.3%
7 80
 
6.2%
9 63
 
4.8%
Other values (2) 49
 
3.8%
Distinct239
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:36.997008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2763158
Min length1

Characters and Unicode

Total characters1245
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)44.7%

Sample

1st row14.5
2nd row29.3
3rd row10.9
4th row12.7
5th row39.5
ValueCountFrequency (%)
6.9 7
 
2.0%
6.2 6
 
1.7%
7.6 5
 
1.4%
5.7 5
 
1.4%
7 5
 
1.4%
20.8 4
 
1.1%
6.3 4
 
1.1%
5.1 4
 
1.1%
22.7 4
 
1.1%
26 4
 
1.1%
Other values (228) 306
86.4%
2023-12-12T16:12:37.619267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 316
25.4%
2 151
12.1%
1 130
10.4%
3 115
 
9.2%
6 92
 
7.4%
4 86
 
6.9%
5 83
 
6.7%
7 82
 
6.6%
8 69
 
5.5%
9 62
 
5.0%
Other values (2) 59
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 903
72.5%
Other Punctuation 316
 
25.4%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 151
16.7%
1 130
14.4%
3 115
12.7%
6 92
10.2%
4 86
9.5%
5 83
9.2%
7 82
9.1%
8 69
7.6%
9 62
6.9%
0 33
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 316
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 316
25.4%
2 151
12.1%
1 130
10.4%
3 115
 
9.2%
6 92
 
7.4%
4 86
 
6.9%
5 83
 
6.7%
7 82
 
6.6%
8 69
 
5.5%
9 62
 
5.0%
Other values (2) 59
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 316
25.4%
2 151
12.1%
1 130
10.4%
3 115
 
9.2%
6 92
 
7.4%
4 86
 
6.9%
5 83
 
6.7%
7 82
 
6.6%
8 69
 
5.5%
9 62
 
5.0%
Other values (2) 59
 
4.7%
Distinct219
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:38.100358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0894737
Min length1

Characters and Unicode

Total characters1174
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)38.7%

Sample

1st row14.6
2nd row29.4
3rd row9.5
4th row11.1
5th row14.8
ValueCountFrequency (%)
6 7
 
2.1%
7.2 6
 
1.8%
5.8 5
 
1.5%
5.4 5
 
1.5%
5.9 5
 
1.5%
5.5 5
 
1.5%
9 5
 
1.5%
6.6 4
 
1.2%
15.4 4
 
1.2%
10.4 4
 
1.2%
Other values (208) 282
84.9%
2023-12-12T16:12:38.690439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 291
24.8%
2 125
10.6%
1 111
 
9.5%
3 107
 
9.1%
5 104
 
8.9%
4 94
 
8.0%
6 85
 
7.2%
7 70
 
6.0%
8 55
 
4.7%
9 54
 
4.6%
Other values (2) 78
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 835
71.1%
Other Punctuation 291
 
24.8%
Space Separator 48
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 125
15.0%
1 111
13.3%
3 107
12.8%
5 104
12.5%
4 94
11.3%
6 85
10.2%
7 70
8.4%
8 55
6.6%
9 54
6.5%
0 30
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 291
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 291
24.8%
2 125
10.6%
1 111
 
9.5%
3 107
 
9.1%
5 104
 
8.9%
4 94
 
8.0%
6 85
 
7.2%
7 70
 
6.0%
8 55
 
4.7%
9 54
 
4.6%
Other values (2) 78
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 291
24.8%
2 125
10.6%
1 111
 
9.5%
3 107
 
9.1%
5 104
 
8.9%
4 94
 
8.0%
6 85
 
7.2%
7 70
 
6.0%
8 55
 
4.7%
9 54
 
4.6%
Other values (2) 78
 
6.6%
Distinct203
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:39.139114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9315789
Min length1

Characters and Unicode

Total characters1114
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)36.8%

Sample

1st row13.1
2nd row26.4
3rd row6.2
4th row7.2
5th row12.4
ValueCountFrequency (%)
5.6 8
 
2.6%
4.5 7
 
2.3%
6.3 6
 
1.9%
5.8 5
 
1.6%
7.3 4
 
1.3%
23.7 4
 
1.3%
5 4
 
1.3%
31.1 4
 
1.3%
21.6 4
 
1.3%
6.8 4
 
1.3%
Other values (192) 258
83.8%
2023-12-12T16:12:39.776242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 273
24.5%
1 122
11.0%
2 116
10.4%
3 99
 
8.9%
5 89
 
8.0%
6 78
 
7.0%
72
 
6.5%
4 68
 
6.1%
7 67
 
6.0%
8 57
 
5.1%
Other values (2) 73
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 769
69.0%
Other Punctuation 273
 
24.5%
Space Separator 72
 
6.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 122
15.9%
2 116
15.1%
3 99
12.9%
5 89
11.6%
6 78
10.1%
4 68
8.8%
7 67
8.7%
8 57
7.4%
9 51
6.6%
0 22
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 273
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1114
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 273
24.5%
1 122
11.0%
2 116
10.4%
3 99
 
8.9%
5 89
 
8.0%
6 78
 
7.0%
72
 
6.5%
4 68
 
6.1%
7 67
 
6.0%
8 57
 
5.1%
Other values (2) 73
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 273
24.5%
1 122
11.0%
2 116
10.4%
3 99
 
8.9%
5 89
 
8.0%
6 78
 
7.0%
72
 
6.5%
4 68
 
6.1%
7 67
 
6.0%
8 57
 
5.1%
Other values (2) 73
 
6.6%
Distinct189
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:40.251908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.9763158
Min length1

Characters and Unicode

Total characters1131
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)29.7%

Sample

1st row12.8
2nd row25.8
3rd row24.5
4th row28.4
5th row46.1
ValueCountFrequency (%)
5.4 5
 
1.6%
4.7 5
 
1.6%
5.9 5
 
1.6%
4.6 5
 
1.6%
5.1 5
 
1.6%
5 5
 
1.6%
3.2 5
 
1.6%
21.2 4
 
1.3%
6.9 4
 
1.3%
3.3 4
 
1.3%
Other values (178) 263
84.8%
2023-12-12T16:12:40.868778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 285
25.2%
2 138
12.2%
1 135
11.9%
3 88
 
7.8%
4 82
 
7.3%
5 79
 
7.0%
6 77
 
6.8%
70
 
6.2%
7 53
 
4.7%
8 53
 
4.7%
Other values (2) 71
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 776
68.6%
Other Punctuation 285
 
25.2%
Space Separator 70
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 138
17.8%
1 135
17.4%
3 88
11.3%
4 82
10.6%
5 79
10.2%
6 77
9.9%
7 53
 
6.8%
8 53
 
6.8%
9 52
 
6.7%
0 19
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 285
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1131
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 285
25.2%
2 138
12.2%
1 135
11.9%
3 88
 
7.8%
4 82
 
7.3%
5 79
 
7.0%
6 77
 
6.8%
70
 
6.2%
7 53
 
4.7%
8 53
 
4.7%
Other values (2) 71
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 285
25.2%
2 138
12.2%
1 135
11.9%
3 88
 
7.8%
4 82
 
7.3%
5 79
 
7.0%
6 77
 
6.8%
70
 
6.2%
7 53
 
4.7%
8 53
 
4.7%
Other values (2) 71
 
6.3%

2015_1분기_1층
Real number (ℝ)

Distinct150
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.412632
Minimum4.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:12:41.010846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.765
Q126.25
median100
Q3100
95-th percentile100
Maximum163.3
Range159.2
Interquartile range (IQR)73.75

Descriptive statistics

Standard deviation37.224555
Coefficient of variation (CV)0.56907288
Kurtosis-1.6891684
Mean65.412632
Median Absolute Deviation (MAD)2
Skewness-0.20194224
Sum24856.8
Variance1385.6675
MonotonicityNot monotonic
2023-12-12T16:12:41.152341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
19.0 3
 
0.8%
16.2 3
 
0.8%
13.8 3
 
0.8%
62.6 3
 
0.8%
28.2 3
 
0.8%
29.1 3
 
0.8%
21.6 2
 
0.5%
34.8 2
 
0.5%
17.2 2
 
0.5%
Other values (140) 166
43.7%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.7 1
0.3%
7.8 1
0.3%
8.0 1
0.3%
9.2 1
0.3%
9.3 1
0.3%
9.5 1
0.3%
9.7 1
0.3%
9.9 1
0.3%
ValueCountFrequency (%)
163.3 1
 
0.3%
100.0 190
50.0%
96.0 1
 
0.3%
86.2 1
 
0.3%
79.7 1
 
0.3%
79.1 1
 
0.3%
74.0 1
 
0.3%
72.5 1
 
0.3%
70.7 1
 
0.3%
68.4 1
 
0.3%
Distinct258
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:41.571604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5552632
Min length1

Characters and Unicode

Total characters1351
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)45.0%

Sample

1st row22.7
2nd row45.7
3rd row53
4th row61.5
5th row63.5
ValueCountFrequency (%)
36.3 5
 
1.3%
8.9 5
 
1.3%
10.5 4
 
1.1%
11.4 4
 
1.1%
9.4 4
 
1.1%
8.5 3
 
0.8%
8.7 3
 
0.8%
7.8 3
 
0.8%
8.6 3
 
0.8%
40.2 3
 
0.8%
Other values (247) 339
90.2%
2023-12-12T16:12:42.109031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 342
25.3%
1 153
11.3%
3 152
11.3%
4 128
 
9.5%
2 110
 
8.1%
5 99
 
7.3%
6 94
 
7.0%
7 83
 
6.1%
9 81
 
6.0%
8 74
 
5.5%
Other values (2) 35
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1005
74.4%
Other Punctuation 342
 
25.3%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 153
15.2%
3 152
15.1%
4 128
12.7%
2 110
10.9%
5 99
9.9%
6 94
9.4%
7 83
8.3%
9 81
8.1%
8 74
7.4%
0 31
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 342
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1351
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 342
25.3%
1 153
11.3%
3 152
11.3%
4 128
 
9.5%
2 110
 
8.1%
5 99
 
7.3%
6 94
 
7.0%
7 83
 
6.1%
9 81
 
6.0%
8 74
 
5.5%
Other values (2) 35
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1351
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 342
25.3%
1 153
11.3%
3 152
11.3%
4 128
 
9.5%
2 110
 
8.1%
5 99
 
7.3%
6 94
 
7.0%
7 83
 
6.1%
9 81
 
6.0%
8 74
 
5.5%
Other values (2) 35
 
2.6%
Distinct244
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:42.526255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4236842
Min length1

Characters and Unicode

Total characters1301
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)40.5%

Sample

1st row18
2nd row36.3
3rd row39.6
4th row45.9
5th row51.3
ValueCountFrequency (%)
6.6 6
 
1.6%
8.6 5
 
1.4%
7.6 4
 
1.1%
5.7 4
 
1.1%
7.5 4
 
1.1%
10.4 4
 
1.1%
6.9 4
 
1.1%
6.7 4
 
1.1%
6.3 4
 
1.1%
35.6 3
 
0.8%
Other values (233) 328
88.6%
2023-12-12T16:12:43.059193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 334
25.7%
3 150
11.5%
2 133
 
10.2%
1 126
 
9.7%
6 106
 
8.1%
5 94
 
7.2%
4 87
 
6.7%
7 80
 
6.1%
8 76
 
5.8%
9 69
 
5.3%
Other values (2) 46
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 957
73.6%
Other Punctuation 334
 
25.7%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 150
15.7%
2 133
13.9%
1 126
13.2%
6 106
11.1%
5 94
9.8%
4 87
9.1%
7 80
8.4%
8 76
7.9%
9 69
7.2%
0 36
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 334
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1301
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 334
25.7%
3 150
11.5%
2 133
 
10.2%
1 126
 
9.7%
6 106
 
8.1%
5 94
 
7.2%
4 87
 
6.7%
7 80
 
6.1%
8 76
 
5.8%
9 69
 
5.3%
Other values (2) 46
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 334
25.7%
3 150
11.5%
2 133
 
10.2%
1 126
 
9.7%
6 106
 
8.1%
5 94
 
7.2%
4 87
 
6.7%
7 80
 
6.1%
8 76
 
5.8%
9 69
 
5.3%
Other values (2) 46
 
3.5%
Distinct236
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:43.414165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2763158
Min length1

Characters and Unicode

Total characters1245
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)42.9%

Sample

1st row14.5
2nd row29.3
3rd row10.9
4th row12.7
5th row39.5
ValueCountFrequency (%)
6.9 6
 
1.7%
7 5
 
1.4%
6.2 5
 
1.4%
5.7 5
 
1.4%
7.6 4
 
1.1%
5 4
 
1.1%
20.9 4
 
1.1%
9.5 4
 
1.1%
6.3 4
 
1.1%
20.8 4
 
1.1%
Other values (225) 309
87.3%
2023-12-12T16:12:43.865353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 316
25.4%
2 149
12.0%
1 122
 
9.8%
3 114
 
9.2%
6 94
 
7.6%
5 86
 
6.9%
7 81
 
6.5%
4 75
 
6.0%
8 73
 
5.9%
9 69
 
5.5%
Other values (2) 66
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 903
72.5%
Other Punctuation 316
 
25.4%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 149
16.5%
1 122
13.5%
3 114
12.6%
6 94
10.4%
5 86
9.5%
7 81
9.0%
4 75
8.3%
8 73
8.1%
9 69
7.6%
0 40
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 316
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 316
25.4%
2 149
12.0%
1 122
 
9.8%
3 114
 
9.2%
6 94
 
7.6%
5 86
 
6.9%
7 81
 
6.5%
4 75
 
6.0%
8 73
 
5.9%
9 69
 
5.5%
Other values (2) 66
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 316
25.4%
2 149
12.0%
1 122
 
9.8%
3 114
 
9.2%
6 94
 
7.6%
5 86
 
6.9%
7 81
 
6.5%
4 75
 
6.0%
8 73
 
5.9%
9 69
 
5.5%
Other values (2) 66
 
5.3%
Distinct221
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:44.263217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1131579
Min length1

Characters and Unicode

Total characters1183
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)38.9%

Sample

1st row14.5
2nd row29.2
3rd row9.5
4th row11
5th row14.8
ValueCountFrequency (%)
5.4 7
 
2.1%
6 6
 
1.8%
15.4 5
 
1.5%
5.7 5
 
1.5%
5.9 5
 
1.5%
6.3 5
 
1.5%
7.2 4
 
1.2%
6.6 4
 
1.2%
5.5 4
 
1.2%
25.1 4
 
1.2%
Other values (210) 283
85.2%
2023-12-12T16:12:44.798187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 296
25.0%
2 122
10.3%
1 120
10.1%
3 110
 
9.3%
5 97
 
8.2%
4 96
 
8.1%
6 89
 
7.5%
7 71
 
6.0%
9 53
 
4.5%
8 53
 
4.5%
Other values (2) 76
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 839
70.9%
Other Punctuation 296
 
25.0%
Space Separator 48
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 122
14.5%
1 120
14.3%
3 110
13.1%
5 97
11.6%
4 96
11.4%
6 89
10.6%
7 71
8.5%
9 53
6.3%
8 53
6.3%
0 28
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 296
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1183
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 296
25.0%
2 122
10.3%
1 120
10.1%
3 110
 
9.3%
5 97
 
8.2%
4 96
 
8.1%
6 89
 
7.5%
7 71
 
6.0%
9 53
 
4.5%
8 53
 
4.5%
Other values (2) 76
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1183
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 296
25.0%
2 122
10.3%
1 120
10.1%
3 110
 
9.3%
5 97
 
8.2%
4 96
 
8.1%
6 89
 
7.5%
7 71
 
6.0%
9 53
 
4.5%
8 53
 
4.5%
Other values (2) 76
 
6.4%
Distinct206
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:45.343286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9631579
Min length1

Characters and Unicode

Total characters1126
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)35.8%

Sample

1st row13.1
2nd row26.4
3rd row6.2
4th row7.2
5th row12.4
ValueCountFrequency (%)
6.3 6
 
1.9%
5.5 5
 
1.6%
4.5 5
 
1.6%
5.8 5
 
1.6%
5.6 5
 
1.6%
5 4
 
1.3%
6.5 4
 
1.3%
7.3 4
 
1.3%
31.1 3
 
1.0%
30.9 3
 
1.0%
Other values (195) 264
85.7%
2023-12-12T16:12:46.026895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 279
24.8%
1 129
11.5%
2 111
 
9.9%
3 103
 
9.1%
5 88
 
7.8%
72
 
6.4%
4 72
 
6.4%
6 71
 
6.3%
7 67
 
6.0%
8 59
 
5.2%
Other values (2) 75
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 775
68.8%
Other Punctuation 279
 
24.8%
Space Separator 72
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 129
16.6%
2 111
14.3%
3 103
13.3%
5 88
11.4%
4 72
9.3%
6 71
9.2%
7 67
8.6%
8 59
7.6%
9 49
 
6.3%
0 26
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 279
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1126
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 279
24.8%
1 129
11.5%
2 111
 
9.9%
3 103
 
9.1%
5 88
 
7.8%
72
 
6.4%
4 72
 
6.4%
6 71
 
6.3%
7 67
 
6.0%
8 59
 
5.2%
Other values (2) 75
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 279
24.8%
1 129
11.5%
2 111
 
9.9%
3 103
 
9.1%
5 88
 
7.8%
72
 
6.4%
4 72
 
6.4%
6 71
 
6.3%
7 67
 
6.0%
8 59
 
5.2%
Other values (2) 75
 
6.7%
Distinct194
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:46.550019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.9763158
Min length1

Characters and Unicode

Total characters1131
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)30.8%

Sample

1st row12.8
2nd row25.8
3rd row24.5
4th row28.4
5th row46.1
ValueCountFrequency (%)
5.1 5
 
1.6%
5.9 5
 
1.6%
3.2 5
 
1.6%
4.6 4
 
1.3%
5.4 4
 
1.3%
4.9 4
 
1.3%
2.2 4
 
1.3%
6.9 4
 
1.3%
3.3 4
 
1.3%
4.7 4
 
1.3%
Other values (183) 267
86.1%
2023-12-12T16:12:47.249821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 285
25.2%
2 135
11.9%
1 134
11.8%
3 90
 
8.0%
4 85
 
7.5%
5 81
 
7.2%
6 73
 
6.5%
70
 
6.2%
9 57
 
5.0%
7 54
 
4.8%
Other values (2) 67
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 776
68.6%
Other Punctuation 285
 
25.2%
Space Separator 70
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 135
17.4%
1 134
17.3%
3 90
11.6%
4 85
11.0%
5 81
10.4%
6 73
9.4%
9 57
7.3%
7 54
 
7.0%
8 49
 
6.3%
0 18
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 285
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1131
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 285
25.2%
2 135
11.9%
1 134
11.8%
3 90
 
8.0%
4 85
 
7.5%
5 81
 
7.2%
6 73
 
6.5%
70
 
6.2%
9 57
 
5.0%
7 54
 
4.8%
Other values (2) 67
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 285
25.2%
2 135
11.9%
1 134
11.8%
3 90
 
8.0%
4 85
 
7.5%
5 81
 
7.2%
6 73
 
6.5%
70
 
6.2%
9 57
 
5.0%
7 54
 
4.8%
Other values (2) 67
 
5.9%

2015_2분기_1층
Real number (ℝ)

Distinct153
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.401316
Minimum4.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:12:47.431693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.67
Q126.225
median100
Q3100
95-th percentile100
Maximum163.3
Range159.2
Interquartile range (IQR)73.775

Descriptive statistics

Standard deviation37.238181
Coefficient of variation (CV)0.56937969
Kurtosis-1.6898603
Mean65.401316
Median Absolute Deviation (MAD)2
Skewness-0.20192254
Sum24852.5
Variance1386.6821
MonotonicityNot monotonic
2023-12-12T16:12:47.637248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
19.0 3
 
0.8%
28.2 3
 
0.8%
21.0 3
 
0.8%
17.1 3
 
0.8%
23.9 3
 
0.8%
62.6 3
 
0.8%
22.5 3
 
0.8%
26.3 3
 
0.8%
33.4 2
 
0.5%
Other values (143) 164
43.2%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.7 1
0.3%
7.8 1
0.3%
8.3 1
0.3%
9.2 1
0.3%
9.3 1
0.3%
9.5 1
0.3%
9.7 1
0.3%
9.9 1
0.3%
ValueCountFrequency (%)
163.3 1
 
0.3%
100.0 190
50.0%
96.0 1
 
0.3%
86.2 1
 
0.3%
79.7 1
 
0.3%
79.1 1
 
0.3%
74.2 1
 
0.3%
72.5 1
 
0.3%
70.7 1
 
0.3%
68.4 1
 
0.3%
Distinct269
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:48.126205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5289474
Min length1

Characters and Unicode

Total characters1341
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)49.5%

Sample

1st row22.7
2nd row45.7
3rd row53
4th row61.5
5th row63.5
ValueCountFrequency (%)
9.4 5
 
1.3%
9 5
 
1.3%
11.4 4
 
1.1%
8.6 4
 
1.1%
36.3 3
 
0.8%
7.8 3
 
0.8%
9.3 3
 
0.8%
45.6 3
 
0.8%
38.9 3
 
0.8%
32.7 3
 
0.8%
Other values (258) 340
90.4%
2023-12-12T16:12:48.827040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 337
25.1%
1 155
11.6%
3 152
11.3%
4 137
10.2%
2 106
 
7.9%
6 99
 
7.4%
5 94
 
7.0%
9 79
 
5.9%
7 76
 
5.7%
8 72
 
5.4%
Other values (2) 34
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1000
74.6%
Other Punctuation 337
 
25.1%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 155
15.5%
3 152
15.2%
4 137
13.7%
2 106
10.6%
6 99
9.9%
5 94
9.4%
9 79
7.9%
7 76
7.6%
8 72
7.2%
0 30
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 337
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1341
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 337
25.1%
1 155
11.6%
3 152
11.3%
4 137
10.2%
2 106
 
7.9%
6 99
 
7.4%
5 94
 
7.0%
9 79
 
5.9%
7 76
 
5.7%
8 72
 
5.4%
Other values (2) 34
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 337
25.1%
1 155
11.6%
3 152
11.3%
4 137
10.2%
2 106
 
7.9%
6 99
 
7.4%
5 94
 
7.0%
9 79
 
5.9%
7 76
 
5.7%
8 72
 
5.4%
Other values (2) 34
 
2.5%
Distinct246
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:49.300492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4184211
Min length1

Characters and Unicode

Total characters1299
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)43.7%

Sample

1st row18
2nd row36.3
3rd row39.6
4th row45.9
5th row51.3
ValueCountFrequency (%)
7.5 5
 
1.4%
8.6 5
 
1.4%
6.6 5
 
1.4%
6.7 5
 
1.4%
6.8 4
 
1.1%
6.9 4
 
1.1%
6.2 4
 
1.1%
5.7 4
 
1.1%
6 4
 
1.1%
30 4
 
1.1%
Other values (235) 326
88.1%
2023-12-12T16:12:49.989600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 333
25.6%
3 155
11.9%
2 130
 
10.0%
1 118
 
9.1%
6 103
 
7.9%
5 92
 
7.1%
8 89
 
6.9%
4 89
 
6.9%
7 81
 
6.2%
9 61
 
4.7%
Other values (2) 48
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 956
73.6%
Other Punctuation 333
 
25.6%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 155
16.2%
2 130
13.6%
1 118
12.3%
6 103
10.8%
5 92
9.6%
8 89
9.3%
4 89
9.3%
7 81
8.5%
9 61
 
6.4%
0 38
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 333
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1299
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 333
25.6%
3 155
11.9%
2 130
 
10.0%
1 118
 
9.1%
6 103
 
7.9%
5 92
 
7.1%
8 89
 
6.9%
4 89
 
6.9%
7 81
 
6.2%
9 61
 
4.7%
Other values (2) 48
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1299
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 333
25.6%
3 155
11.9%
2 130
 
10.0%
1 118
 
9.1%
6 103
 
7.9%
5 92
 
7.1%
8 89
 
6.9%
4 89
 
6.9%
7 81
 
6.2%
9 61
 
4.7%
Other values (2) 48
 
3.7%
Distinct230
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:50.502042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.3131579
Min length1

Characters and Unicode

Total characters1259
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)37.6%

Sample

1st row14.6
2nd row29.3
3rd row10.9
4th row12.7
5th row39.5
ValueCountFrequency (%)
6.8 5
 
1.4%
7 5
 
1.4%
5 4
 
1.1%
5.7 4
 
1.1%
6.9 4
 
1.1%
7.6 4
 
1.1%
6.3 4
 
1.1%
6.2 4
 
1.1%
28.8 3
 
0.8%
7.7 3
 
0.8%
Other values (219) 314
88.7%
2023-12-12T16:12:51.094851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 323
25.7%
2 148
11.8%
1 128
 
10.2%
3 115
 
9.1%
6 91
 
7.2%
5 82
 
6.5%
7 81
 
6.4%
4 78
 
6.2%
8 76
 
6.0%
9 74
 
5.9%
Other values (2) 63
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 910
72.3%
Other Punctuation 323
 
25.7%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 148
16.3%
1 128
14.1%
3 115
12.6%
6 91
10.0%
5 82
9.0%
7 81
8.9%
4 78
8.6%
8 76
8.4%
9 74
8.1%
0 37
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 323
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1259
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 323
25.7%
2 148
11.8%
1 128
 
10.2%
3 115
 
9.1%
6 91
 
7.2%
5 82
 
6.5%
7 81
 
6.4%
4 78
 
6.2%
8 76
 
6.0%
9 74
 
5.9%
Other values (2) 63
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1259
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 323
25.7%
2 148
11.8%
1 128
 
10.2%
3 115
 
9.1%
6 91
 
7.2%
5 82
 
6.5%
7 81
 
6.4%
4 78
 
6.2%
8 76
 
6.0%
9 74
 
5.9%
Other values (2) 63
 
5.0%
Distinct218
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:51.522957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1236842
Min length1

Characters and Unicode

Total characters1187
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)37.6%

Sample

1st row14.5
2nd row29.3
3rd row9.5
4th row11
5th row14.8
ValueCountFrequency (%)
5.4 7
 
2.1%
6 6
 
1.8%
5.7 5
 
1.5%
6.6 5
 
1.5%
6.3 5
 
1.5%
15.4 4
 
1.2%
13.2 4
 
1.2%
5.5 4
 
1.2%
5.9 4
 
1.2%
7.1 4
 
1.2%
Other values (207) 284
85.5%
2023-12-12T16:12:52.032579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 298
25.1%
2 125
10.5%
1 121
10.2%
3 115
 
9.7%
5 102
 
8.6%
4 86
 
7.2%
6 85
 
7.2%
7 73
 
6.1%
8 57
 
4.8%
9 49
 
4.1%
Other values (2) 76
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 841
70.9%
Other Punctuation 298
 
25.1%
Space Separator 48
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 125
14.9%
1 121
14.4%
3 115
13.7%
5 102
12.1%
4 86
10.2%
6 85
10.1%
7 73
8.7%
8 57
6.8%
9 49
 
5.8%
0 28
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 298
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 298
25.1%
2 125
10.5%
1 121
10.2%
3 115
 
9.7%
5 102
 
8.6%
4 86
 
7.2%
6 85
 
7.2%
7 73
 
6.1%
8 57
 
4.8%
9 49
 
4.1%
Other values (2) 76
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 298
25.1%
2 125
10.5%
1 121
10.2%
3 115
 
9.7%
5 102
 
8.6%
4 86
 
7.2%
6 85
 
7.2%
7 73
 
6.1%
8 57
 
4.8%
9 49
 
4.1%
Other values (2) 76
 
6.4%
Distinct203
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:52.429624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9684211
Min length1

Characters and Unicode

Total characters1128
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)34.5%

Sample

1st row13.1
2nd row26.4
3rd row6.2
4th row7.2
5th row12.4
ValueCountFrequency (%)
6.3 6
 
1.9%
5.5 5
 
1.6%
4.5 5
 
1.6%
5.8 5
 
1.6%
5 5
 
1.6%
5.6 5
 
1.6%
6.8 4
 
1.3%
6.6 4
 
1.3%
7.3 3
 
1.0%
4.9 3
 
1.0%
Other values (192) 263
85.4%
2023-12-12T16:12:52.989427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 280
24.8%
1 122
10.8%
2 118
10.5%
3 98
 
8.7%
5 88
 
7.8%
6 74
 
6.6%
4 73
 
6.5%
72
 
6.4%
8 65
 
5.8%
7 61
 
5.4%
Other values (2) 77
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 776
68.8%
Other Punctuation 280
 
24.8%
Space Separator 72
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 122
15.7%
2 118
15.2%
3 98
12.6%
5 88
11.3%
6 74
9.5%
4 73
9.4%
8 65
8.4%
7 61
7.9%
9 49
6.3%
0 28
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 280
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1128
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 280
24.8%
1 122
10.8%
2 118
10.5%
3 98
 
8.7%
5 88
 
7.8%
6 74
 
6.6%
4 73
 
6.5%
72
 
6.4%
8 65
 
5.8%
7 61
 
5.4%
Other values (2) 77
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 280
24.8%
1 122
10.8%
2 118
10.5%
3 98
 
8.7%
5 88
 
7.8%
6 74
 
6.6%
4 73
 
6.5%
72
 
6.4%
8 65
 
5.8%
7 61
 
5.4%
Other values (2) 77
 
6.8%
Distinct198
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:53.376447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.9815789
Min length1

Characters and Unicode

Total characters1133
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)32.9%

Sample

1st row12.8
2nd row25.8
3rd row24.6
4th row28.5
5th row46.1
ValueCountFrequency (%)
3.2 6
 
1.9%
4.7 5
 
1.6%
2.2 4
 
1.3%
6.9 4
 
1.3%
3.3 4
 
1.3%
5.4 4
 
1.3%
5 4
 
1.3%
5.1 4
 
1.3%
4.9 4
 
1.3%
5.9 4
 
1.3%
Other values (187) 267
86.1%
2023-12-12T16:12:53.971820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 286
25.2%
1 136
12.0%
2 133
11.7%
3 86
 
7.6%
4 86
 
7.6%
6 81
 
7.1%
5 76
 
6.7%
70
 
6.2%
7 55
 
4.9%
9 53
 
4.7%
Other values (2) 71
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 777
68.6%
Other Punctuation 286
 
25.2%
Space Separator 70
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 136
17.5%
2 133
17.1%
3 86
11.1%
4 86
11.1%
6 81
10.4%
5 76
9.8%
7 55
7.1%
9 53
 
6.8%
8 52
 
6.7%
0 19
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 286
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1133
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 286
25.2%
1 136
12.0%
2 133
11.7%
3 86
 
7.6%
4 86
 
7.6%
6 81
 
7.1%
5 76
 
6.7%
70
 
6.2%
7 55
 
4.9%
9 53
 
4.7%
Other values (2) 71
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1133
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 286
25.2%
1 136
12.0%
2 133
11.7%
3 86
 
7.6%
4 86
 
7.6%
6 81
 
7.1%
5 76
 
6.7%
70
 
6.2%
7 55
 
4.9%
9 53
 
4.7%
Other values (2) 71
 
6.3%

2015_3분기_1층
Real number (ℝ)

Distinct149
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.401842
Minimum4.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:12:54.131733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.67
Q126.175
median100
Q3100
95-th percentile100
Maximum163.3
Range159.2
Interquartile range (IQR)73.825

Descriptive statistics

Standard deviation37.238467
Coefficient of variation (CV)0.56937948
Kurtosis-1.6905185
Mean65.401842
Median Absolute Deviation (MAD)2
Skewness-0.20172032
Sum24852.7
Variance1386.7034
MonotonicityNot monotonic
2023-12-12T16:12:54.284565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
29.1 3
 
0.8%
26.9 3
 
0.8%
26.3 3
 
0.8%
21.0 3
 
0.8%
24.2 3
 
0.8%
17.1 3
 
0.8%
16.4 3
 
0.8%
20.4 3
 
0.8%
22.5 2
 
0.5%
Other values (139) 164
43.2%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.7 1
0.3%
7.8 1
0.3%
8.3 1
0.3%
9.2 2
0.5%
9.5 1
0.3%
9.7 1
0.3%
9.9 1
0.3%
10.4 1
0.3%
ValueCountFrequency (%)
163.3 1
 
0.3%
100.0 190
50.0%
96.0 1
 
0.3%
86.3 1
 
0.3%
79.7 1
 
0.3%
79.1 1
 
0.3%
74.3 1
 
0.3%
72.5 1
 
0.3%
70.7 1
 
0.3%
68.5 1
 
0.3%
Distinct267
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:54.720434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5289474
Min length1

Characters and Unicode

Total characters1341
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)47.4%

Sample

1st row22.7
2nd row45.6
3rd row53.2
4th row61.7
5th row63.6
ValueCountFrequency (%)
9.4 5
 
1.3%
9 5
 
1.3%
8.3 4
 
1.1%
9.3 4
 
1.1%
7.9 4
 
1.1%
36.3 3
 
0.8%
10.5 3
 
0.8%
13.1 3
 
0.8%
6.5 3
 
0.8%
12.5 3
 
0.8%
Other values (256) 339
90.2%
2023-12-12T16:12:55.265100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 337
25.1%
1 150
11.2%
3 149
11.1%
4 139
10.4%
2 105
 
7.8%
6 104
 
7.8%
5 96
 
7.2%
9 80
 
6.0%
7 74
 
5.5%
8 73
 
5.4%
Other values (2) 34
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1000
74.6%
Other Punctuation 337
 
25.1%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 150
15.0%
3 149
14.9%
4 139
13.9%
2 105
10.5%
6 104
10.4%
5 96
9.6%
9 80
8.0%
7 74
7.4%
8 73
7.3%
0 30
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 337
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1341
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 337
25.1%
1 150
11.2%
3 149
11.1%
4 139
10.4%
2 105
 
7.8%
6 104
 
7.8%
5 96
 
7.2%
9 80
 
6.0%
7 74
 
5.5%
8 73
 
5.4%
Other values (2) 34
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 337
25.1%
1 150
11.2%
3 149
11.1%
4 139
10.4%
2 105
 
7.8%
6 104
 
7.8%
5 96
 
7.2%
9 80
 
6.0%
7 74
 
5.5%
8 73
 
5.4%
Other values (2) 34
 
2.5%
Distinct232
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:55.770139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4342105
Min length1

Characters and Unicode

Total characters1305
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)37.1%

Sample

1st row18
2nd row36.2
3rd row39.7
4th row46
5th row51.3
ValueCountFrequency (%)
6.7 5
 
1.4%
6.8 5
 
1.4%
7.5 5
 
1.4%
6.6 5
 
1.4%
8.6 4
 
1.1%
6.2 4
 
1.1%
26.3 4
 
1.1%
39.6 4
 
1.1%
6 4
 
1.1%
10.3 4
 
1.1%
Other values (221) 326
88.1%
2023-12-12T16:12:56.313116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 336
25.7%
3 154
11.8%
2 133
 
10.2%
1 121
 
9.3%
6 105
 
8.0%
5 91
 
7.0%
4 91
 
7.0%
8 83
 
6.4%
7 82
 
6.3%
9 64
 
4.9%
Other values (2) 45
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 959
73.5%
Other Punctuation 336
 
25.7%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 154
16.1%
2 133
13.9%
1 121
12.6%
6 105
10.9%
5 91
9.5%
4 91
9.5%
8 83
8.7%
7 82
8.6%
9 64
6.7%
0 35
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 336
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1305
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 336
25.7%
3 154
11.8%
2 133
 
10.2%
1 121
 
9.3%
6 105
 
8.0%
5 91
 
7.0%
4 91
 
7.0%
8 83
 
6.4%
7 82
 
6.3%
9 64
 
4.9%
Other values (2) 45
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1305
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 336
25.7%
3 154
11.8%
2 133
 
10.2%
1 121
 
9.3%
6 105
 
8.0%
5 91
 
7.0%
4 91
 
7.0%
8 83
 
6.4%
7 82
 
6.3%
9 64
 
4.9%
Other values (2) 45
 
3.4%
Distinct239
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:56.739656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2973684
Min length1

Characters and Unicode

Total characters1253
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)42.9%

Sample

1st row14.6
2nd row29.3
3rd row10.9
4th row12.6
5th row39.5
ValueCountFrequency (%)
6.3 5
 
1.4%
6.8 5
 
1.4%
7 5
 
1.4%
6 5
 
1.4%
5.2 4
 
1.1%
20.8 4
 
1.1%
5 4
 
1.1%
12.8 4
 
1.1%
6.9 4
 
1.1%
7.6 4
 
1.1%
Other values (228) 310
87.6%
2023-12-12T16:12:57.387814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 320
25.5%
2 148
11.8%
1 128
 
10.2%
3 111
 
8.9%
6 96
 
7.7%
5 86
 
6.9%
4 83
 
6.6%
8 77
 
6.1%
7 75
 
6.0%
9 66
 
5.3%
Other values (2) 63
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 907
72.4%
Other Punctuation 320
 
25.5%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 148
16.3%
1 128
14.1%
3 111
12.2%
6 96
10.6%
5 86
9.5%
4 83
9.2%
8 77
8.5%
7 75
8.3%
9 66
7.3%
0 37
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 320
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 320
25.5%
2 148
11.8%
1 128
 
10.2%
3 111
 
8.9%
6 96
 
7.7%
5 86
 
6.9%
4 83
 
6.6%
8 77
 
6.1%
7 75
 
6.0%
9 66
 
5.3%
Other values (2) 63
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 320
25.5%
2 148
11.8%
1 128
 
10.2%
3 111
 
8.9%
6 96
 
7.7%
5 86
 
6.9%
4 83
 
6.6%
8 77
 
6.1%
7 75
 
6.0%
9 66
 
5.3%
Other values (2) 63
 
5.0%
Distinct216
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:57.921869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3.5
Mean length3.1447368
Min length1

Characters and Unicode

Total characters1195
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)37.4%

Sample

1st row14.5
2nd row29.2
3rd row9.5
4th row11
5th row14.8
ValueCountFrequency (%)
5.4 7
 
2.1%
5.7 6
 
1.8%
7.1 6
 
1.8%
13.2 4
 
1.2%
22.4 4
 
1.2%
6.6 4
 
1.2%
6.3 4
 
1.2%
21.1 4
 
1.2%
5.9 4
 
1.2%
15.4 4
 
1.2%
Other values (205) 285
85.8%
2023-12-12T16:12:58.918458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 302
25.3%
1 129
10.8%
2 129
10.8%
3 110
 
9.2%
5 102
 
8.5%
4 91
 
7.6%
6 86
 
7.2%
7 72
 
6.0%
9 50
 
4.2%
8 50
 
4.2%
Other values (2) 74
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 845
70.7%
Other Punctuation 302
 
25.3%
Space Separator 48
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 129
15.3%
2 129
15.3%
3 110
13.0%
5 102
12.1%
4 91
10.8%
6 86
10.2%
7 72
8.5%
9 50
 
5.9%
8 50
 
5.9%
0 26
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 302
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1195
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 302
25.3%
1 129
10.8%
2 129
10.8%
3 110
 
9.2%
5 102
 
8.5%
4 91
 
7.6%
6 86
 
7.2%
7 72
 
6.0%
9 50
 
4.2%
8 50
 
4.2%
Other values (2) 74
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1195
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 302
25.3%
1 129
10.8%
2 129
10.8%
3 110
 
9.2%
5 102
 
8.5%
4 91
 
7.6%
6 86
 
7.2%
7 72
 
6.0%
9 50
 
4.2%
8 50
 
4.2%
Other values (2) 74
 
6.2%
Distinct206
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:12:59.348878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9763158
Min length1

Characters and Unicode

Total characters1131
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)36.1%

Sample

1st row13.1
2nd row26.4
3rd row6.2
4th row7.2
5th row12.4
ValueCountFrequency (%)
6.3 7
 
2.3%
5 5
 
1.6%
5.6 5
 
1.6%
5.8 5
 
1.6%
5.5 5
 
1.6%
17.1 4
 
1.3%
6.8 4
 
1.3%
7.3 4
 
1.3%
6.6 4
 
1.3%
4.5 3
 
1.0%
Other values (195) 262
85.1%
2023-12-12T16:12:59.999614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 282
24.9%
1 120
10.6%
2 116
10.3%
3 94
 
8.3%
5 91
 
8.0%
4 78
 
6.9%
6 76
 
6.7%
72
 
6.4%
8 66
 
5.8%
7 59
 
5.2%
Other values (2) 77
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 777
68.7%
Other Punctuation 282
 
24.9%
Space Separator 72
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 120
15.4%
2 116
14.9%
3 94
12.1%
5 91
11.7%
4 78
10.0%
6 76
9.8%
8 66
8.5%
7 59
7.6%
9 47
 
6.0%
0 30
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 282
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1131
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 282
24.9%
1 120
10.6%
2 116
10.3%
3 94
 
8.3%
5 91
 
8.0%
4 78
 
6.9%
6 76
 
6.7%
72
 
6.4%
8 66
 
5.8%
7 59
 
5.2%
Other values (2) 77
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 282
24.9%
1 120
10.6%
2 116
10.3%
3 94
 
8.3%
5 91
 
8.0%
4 78
 
6.9%
6 76
 
6.7%
72
 
6.4%
8 66
 
5.8%
7 59
 
5.2%
Other values (2) 77
 
6.8%
Distinct241
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:00.445301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.4131579
Min length1

Characters and Unicode

Total characters1297
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)53.2%

Sample

1st row12.8
2nd row25.73
3rd row24.3
4th row28.13
5th row44.9
ValueCountFrequency (%)
5.4 5
 
1.6%
3.2 5
 
1.6%
2.2 4
 
1.3%
5 4
 
1.3%
5.1 4
 
1.3%
4.2 4
 
1.3%
4.9 4
 
1.3%
6.9 4
 
1.3%
4.7 4
 
1.3%
6.2 3
 
1.0%
Other values (230) 269
86.8%
2023-12-12T16:13:01.032089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 301
23.2%
1 152
11.7%
2 140
10.8%
4 105
 
8.1%
3 100
 
7.7%
5 99
 
7.6%
6 89
 
6.9%
7 74
 
5.7%
70
 
5.4%
9 70
 
5.4%
Other values (2) 97
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 926
71.4%
Other Punctuation 301
 
23.2%
Space Separator 70
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 152
16.4%
2 140
15.1%
4 105
11.3%
3 100
10.8%
5 99
10.7%
6 89
9.6%
7 74
8.0%
9 70
7.6%
8 65
7.0%
0 32
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 301
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 301
23.2%
1 152
11.7%
2 140
10.8%
4 105
 
8.1%
3 100
 
7.7%
5 99
 
7.6%
6 89
 
6.9%
7 74
 
5.7%
70
 
5.4%
9 70
 
5.4%
Other values (2) 97
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 301
23.2%
1 152
11.7%
2 140
10.8%
4 105
 
8.1%
3 100
 
7.7%
5 99
 
7.6%
6 89
 
6.9%
7 74
 
5.7%
70
 
5.4%
9 70
 
5.4%
Other values (2) 97
 
7.5%

2015_4분기_1층
Real number (ℝ)

Distinct153
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.398158
Minimum4.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:13:01.165043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.48
Q126.2
median100
Q3100
95-th percentile100
Maximum163.3
Range159.2
Interquartile range (IQR)73.8

Descriptive statistics

Standard deviation37.243933
Coefficient of variation (CV)0.56949513
Kurtosis-1.6906016
Mean65.398158
Median Absolute Deviation (MAD)2.05
Skewness-0.20186013
Sum24851.3
Variance1387.1105
MonotonicityNot monotonic
2023-12-12T16:13:01.339754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
23.8 3
 
0.8%
21.0 3
 
0.8%
17.1 3
 
0.8%
28.2 2
 
0.5%
23.4 2
 
0.5%
14.7 2
 
0.5%
34.9 2
 
0.5%
33.2 2
 
0.5%
21.6 2
 
0.5%
Other values (143) 169
44.5%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.7 1
0.3%
7.8 1
0.3%
8.3 1
0.3%
9.2 2
0.5%
9.5 2
0.5%
10.0 1
0.3%
10.4 1
0.3%
11.4 1
0.3%
ValueCountFrequency (%)
163.3 1
 
0.3%
100.0 190
50.0%
95.9 1
 
0.3%
86.3 1
 
0.3%
79.7 1
 
0.3%
79.1 1
 
0.3%
74.3 1
 
0.3%
72.5 1
 
0.3%
70.7 1
 
0.3%
68.5 1
 
0.3%
Distinct267
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:01.869238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5210526
Min length1

Characters and Unicode

Total characters1338
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)48.2%

Sample

1st row22.6
2nd row45.6
3rd row53.2
4th row61.6
5th row63.6
ValueCountFrequency (%)
36.3 5
 
1.3%
9 5
 
1.3%
8.3 4
 
1.1%
7.9 4
 
1.1%
8.5 4
 
1.1%
9.4 4
 
1.1%
9.3 3
 
0.8%
6.2 3
 
0.8%
6.4 3
 
0.8%
5.7 3
 
0.8%
Other values (256) 338
89.9%
2023-12-12T16:13:02.483622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 336
25.1%
3 155
11.6%
1 150
11.2%
4 134
 
10.0%
5 102
 
7.6%
2 100
 
7.5%
6 91
 
6.8%
9 86
 
6.4%
8 78
 
5.8%
7 71
 
5.3%
Other values (2) 35
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 998
74.6%
Other Punctuation 336
 
25.1%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 155
15.5%
1 150
15.0%
4 134
13.4%
5 102
10.2%
2 100
10.0%
6 91
9.1%
9 86
8.6%
8 78
7.8%
7 71
7.1%
0 31
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 336
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1338
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 336
25.1%
3 155
11.6%
1 150
11.2%
4 134
 
10.0%
5 102
 
7.6%
2 100
 
7.5%
6 91
 
6.8%
9 86
 
6.4%
8 78
 
5.8%
7 71
 
5.3%
Other values (2) 35
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1338
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 336
25.1%
3 155
11.6%
1 150
11.2%
4 134
 
10.0%
5 102
 
7.6%
2 100
 
7.5%
6 91
 
6.8%
9 86
 
6.4%
8 78
 
5.8%
7 71
 
5.3%
Other values (2) 35
 
2.6%
Distinct244
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:02.927140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4052632
Min length1

Characters and Unicode

Total characters1294
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)41.3%

Sample

1st row18
2nd row36.2
3rd row39.7
4th row46
5th row51.3
ValueCountFrequency (%)
6.8 5
 
1.4%
7.5 5
 
1.4%
6.2 5
 
1.4%
6.7 5
 
1.4%
6 4
 
1.1%
26.3 4
 
1.1%
10.3 4
 
1.1%
6.6 4
 
1.1%
8.6 4
 
1.1%
6.9 4
 
1.1%
Other values (233) 326
88.1%
2023-12-12T16:13:03.478495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 330
25.5%
3 145
11.2%
2 137
10.6%
1 121
 
9.4%
6 105
 
8.1%
4 94
 
7.3%
5 92
 
7.1%
7 87
 
6.7%
8 74
 
5.7%
9 63
 
4.9%
Other values (2) 46
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 954
73.7%
Other Punctuation 330
 
25.5%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 145
15.2%
2 137
14.4%
1 121
12.7%
6 105
11.0%
4 94
9.9%
5 92
9.6%
7 87
9.1%
8 74
7.8%
9 63
6.6%
0 36
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 330
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1294
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 330
25.5%
3 145
11.2%
2 137
10.6%
1 121
 
9.4%
6 105
 
8.1%
4 94
 
7.3%
5 92
 
7.1%
7 87
 
6.7%
8 74
 
5.7%
9 63
 
4.9%
Other values (2) 46
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 330
25.5%
3 145
11.2%
2 137
10.6%
1 121
 
9.4%
6 105
 
8.1%
4 94
 
7.3%
5 92
 
7.1%
7 87
 
6.7%
8 74
 
5.7%
9 63
 
4.9%
Other values (2) 46
 
3.6%
Distinct240
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:03.951192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2605263
Min length1

Characters and Unicode

Total characters1239
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)44.7%

Sample

1st row14.5
2nd row29.3
3rd row10.9
4th row12.6
5th row39.5
ValueCountFrequency (%)
6.9 5
 
1.4%
6.3 5
 
1.4%
6.8 5
 
1.4%
6 5
 
1.4%
5 5
 
1.4%
7.9 4
 
1.1%
17.4 4
 
1.1%
3.6 4
 
1.1%
7.4 4
 
1.1%
5.2 4
 
1.1%
Other values (229) 309
87.3%
2023-12-12T16:13:04.572538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 313
25.3%
2 142
11.5%
1 130
10.5%
3 114
 
9.2%
5 92
 
7.4%
6 91
 
7.3%
4 82
 
6.6%
9 73
 
5.9%
7 73
 
5.9%
8 69
 
5.6%
Other values (2) 60
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 900
72.6%
Other Punctuation 313
 
25.3%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 142
15.8%
1 130
14.4%
3 114
12.7%
5 92
10.2%
6 91
10.1%
4 82
9.1%
9 73
8.1%
7 73
8.1%
8 69
7.7%
0 34
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 313
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 313
25.3%
2 142
11.5%
1 130
10.5%
3 114
 
9.2%
5 92
 
7.4%
6 91
 
7.3%
4 82
 
6.6%
9 73
 
5.9%
7 73
 
5.9%
8 69
 
5.6%
Other values (2) 60
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 313
25.3%
2 142
11.5%
1 130
10.5%
3 114
 
9.2%
5 92
 
7.4%
6 91
 
7.3%
4 82
 
6.6%
9 73
 
5.9%
7 73
 
5.9%
8 69
 
5.6%
Other values (2) 60
 
4.8%
Distinct205
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:05.166816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.15
Min length1

Characters and Unicode

Total characters1197
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)33.4%

Sample

1st row14.5
2nd row29.2
3rd row9.3
4th row10.8
5th row14.4
ValueCountFrequency (%)
5.7 6
 
1.8%
5.4 6
 
1.8%
6 5
 
1.5%
7.1 5
 
1.5%
4.4 4
 
1.2%
6.6 4
 
1.2%
20.7 4
 
1.2%
6.3 4
 
1.2%
13.2 4
 
1.2%
34.9 4
 
1.2%
Other values (194) 286
86.1%
2023-12-12T16:13:05.758652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 303
25.3%
2 130
10.9%
1 122
10.2%
3 118
 
9.9%
5 101
 
8.4%
4 89
 
7.4%
6 79
 
6.6%
7 73
 
6.1%
9 56
 
4.7%
8 49
 
4.1%
Other values (2) 77
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 846
70.7%
Other Punctuation 303
 
25.3%
Space Separator 48
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 130
15.4%
1 122
14.4%
3 118
13.9%
5 101
11.9%
4 89
10.5%
6 79
9.3%
7 73
8.6%
9 56
6.6%
8 49
 
5.8%
0 29
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 303
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1197
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 303
25.3%
2 130
10.9%
1 122
10.2%
3 118
 
9.9%
5 101
 
8.4%
4 89
 
7.4%
6 79
 
6.6%
7 73
 
6.1%
9 56
 
4.7%
8 49
 
4.1%
Other values (2) 77
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1197
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 303
25.3%
2 130
10.9%
1 122
10.2%
3 118
 
9.9%
5 101
 
8.4%
4 89
 
7.4%
6 79
 
6.6%
7 73
 
6.1%
9 56
 
4.7%
8 49
 
4.1%
Other values (2) 77
 
6.4%
Distinct208
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:06.212374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9447368
Min length1

Characters and Unicode

Total characters1119
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)37.1%

Sample

1st row13.1
2nd row26.3
3rd row6.2
4th row7.2
5th row12.4
ValueCountFrequency (%)
6.3 7
 
2.3%
5.6 7
 
2.3%
5.8 5
 
1.6%
15.8 4
 
1.3%
5 4
 
1.3%
6.8 4
 
1.3%
6.6 4
 
1.3%
7.5 3
 
1.0%
23.7 3
 
1.0%
17.1 3
 
1.0%
Other values (197) 264
85.7%
2023-12-12T16:13:06.790632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 276
24.7%
1 114
10.2%
2 113
10.1%
3 99
 
8.8%
5 91
 
8.1%
4 80
 
7.1%
6 76
 
6.8%
72
 
6.4%
8 65
 
5.8%
7 59
 
5.3%
Other values (2) 74
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 771
68.9%
Other Punctuation 276
 
24.7%
Space Separator 72
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 114
14.8%
2 113
14.7%
3 99
12.8%
5 91
11.8%
4 80
10.4%
6 76
9.9%
8 65
8.4%
7 59
7.7%
9 47
6.1%
0 27
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 276
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1119
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 276
24.7%
1 114
10.2%
2 113
10.1%
3 99
 
8.8%
5 91
 
8.1%
4 80
 
7.1%
6 76
 
6.8%
72
 
6.4%
8 65
 
5.8%
7 59
 
5.3%
Other values (2) 74
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 276
24.7%
1 114
10.2%
2 113
10.1%
3 99
 
8.8%
5 91
 
8.1%
4 80
 
7.1%
6 76
 
6.8%
72
 
6.4%
8 65
 
5.8%
7 59
 
5.3%
Other values (2) 74
 
6.6%
Distinct242
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:07.192936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.4026316
Min length1

Characters and Unicode

Total characters1293
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)53.2%

Sample

1st row12.8
2nd row25.7
3rd row24.3
4th row28.23
5th row44.6
ValueCountFrequency (%)
3.2 6
 
1.9%
4.6 5
 
1.6%
4.2 4
 
1.3%
5.9 4
 
1.3%
2.2 4
 
1.3%
5 4
 
1.3%
4.9 4
 
1.3%
5.1 4
 
1.3%
4.7 3
 
1.0%
4.5 3
 
1.0%
Other values (231) 269
86.8%
2023-12-12T16:13:07.709482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 299
23.1%
1 158
12.2%
2 152
11.8%
4 108
 
8.4%
3 93
 
7.2%
5 91
 
7.0%
6 90
 
7.0%
9 74
 
5.7%
7 71
 
5.5%
70
 
5.4%
Other values (2) 87
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 924
71.5%
Other Punctuation 299
 
23.1%
Space Separator 70
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 158
17.1%
2 152
16.5%
4 108
11.7%
3 93
10.1%
5 91
9.8%
6 90
9.7%
9 74
8.0%
7 71
7.7%
8 58
 
6.3%
0 29
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 299
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1293
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 299
23.1%
1 158
12.2%
2 152
11.8%
4 108
 
8.4%
3 93
 
7.2%
5 91
 
7.0%
6 90
 
7.0%
9 74
 
5.7%
7 71
 
5.5%
70
 
5.4%
Other values (2) 87
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1293
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 299
23.1%
1 158
12.2%
2 152
11.8%
4 108
 
8.4%
3 93
 
7.2%
5 91
 
7.0%
6 90
 
7.0%
9 74
 
5.7%
7 71
 
5.5%
70
 
5.4%
Other values (2) 87
 
6.7%

2016_1분기_1층
Real number (ℝ)

Distinct151
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.400263
Minimum4.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:13:07.846652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.575
Q126.2
median100
Q3100
95-th percentile100
Maximum163.3
Range159.2
Interquartile range (IQR)73.8

Descriptive statistics

Standard deviation37.241645
Coefficient of variation (CV)0.56944182
Kurtosis-1.6905736
Mean65.400263
Median Absolute Deviation (MAD)2.3
Skewness-0.20202237
Sum24852.1
Variance1386.9401
MonotonicityNot monotonic
2023-12-12T16:13:07.997809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
17.1 3
 
0.8%
23.9 3
 
0.8%
40.2 3
 
0.8%
41.4 3
 
0.8%
23.5 3
 
0.8%
24.1 2
 
0.5%
24.9 2
 
0.5%
15.1 2
 
0.5%
39.3 2
 
0.5%
Other values (141) 167
43.9%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.7 1
0.3%
7.8 1
0.3%
8.6 1
0.3%
9.2 2
0.5%
9.4 1
0.3%
9.6 1
0.3%
10.0 1
0.3%
10.5 1
0.3%
ValueCountFrequency (%)
163.3 1
 
0.3%
100.0 190
50.0%
95.4 1
 
0.3%
86.0 1
 
0.3%
79.7 1
 
0.3%
79.4 1
 
0.3%
74.3 1
 
0.3%
72.6 1
 
0.3%
70.7 1
 
0.3%
68.4 1
 
0.3%
Distinct254
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:08.417578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4894737
Min length1

Characters and Unicode

Total characters1326
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)44.5%

Sample

1st row22.6
2nd row45.5
3rd row53
4th row61.6
5th row63.1
ValueCountFrequency (%)
9 6
 
1.6%
36 5
 
1.3%
8.5 5
 
1.3%
8.3 5
 
1.3%
47.4 4
 
1.1%
10.4 4
 
1.1%
7.9 4
 
1.1%
36.3 4
 
1.1%
8 3
 
0.8%
33.5 3
 
0.8%
Other values (243) 333
88.6%
2023-12-12T16:13:09.046162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 330
24.9%
1 155
11.7%
3 153
11.5%
4 131
 
9.9%
2 112
 
8.4%
5 93
 
7.0%
6 87
 
6.6%
7 82
 
6.2%
9 75
 
5.7%
8 73
 
5.5%
Other values (2) 35
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 992
74.8%
Other Punctuation 330
 
24.9%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 155
15.6%
3 153
15.4%
4 131
13.2%
2 112
11.3%
5 93
9.4%
6 87
8.8%
7 82
8.3%
9 75
7.6%
8 73
7.4%
0 31
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 330
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1326
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 330
24.9%
1 155
11.7%
3 153
11.5%
4 131
 
9.9%
2 112
 
8.4%
5 93
 
7.0%
6 87
 
6.6%
7 82
 
6.2%
9 75
 
5.7%
8 73
 
5.5%
Other values (2) 35
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1326
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 330
24.9%
1 155
11.7%
3 153
11.5%
4 131
 
9.9%
2 112
 
8.4%
5 93
 
7.0%
6 87
 
6.6%
7 82
 
6.2%
9 75
 
5.7%
8 73
 
5.5%
Other values (2) 35
 
2.6%
Distinct240
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:09.538682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3815789
Min length1

Characters and Unicode

Total characters1285
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)41.6%

Sample

1st row18
2nd row36.2
3rd row39.6
4th row46
5th row50.9
ValueCountFrequency (%)
6.7 6
 
1.6%
10.4 5
 
1.4%
7.5 5
 
1.4%
6.5 4
 
1.1%
6.6 4
 
1.1%
6.8 4
 
1.1%
6.9 4
 
1.1%
26.3 4
 
1.1%
34 4
 
1.1%
5 4
 
1.1%
Other values (229) 326
88.1%
2023-12-12T16:13:10.220784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 326
25.4%
3 134
10.4%
2 133
10.4%
1 118
 
9.2%
6 108
 
8.4%
5 96
 
7.5%
4 94
 
7.3%
7 87
 
6.8%
9 71
 
5.5%
8 71
 
5.5%
Other values (2) 47
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 949
73.9%
Other Punctuation 326
 
25.4%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 134
14.1%
2 133
14.0%
1 118
12.4%
6 108
11.4%
5 96
10.1%
4 94
9.9%
7 87
9.2%
9 71
7.5%
8 71
7.5%
0 37
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 326
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1285
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 326
25.4%
3 134
10.4%
2 133
10.4%
1 118
 
9.2%
6 108
 
8.4%
5 96
 
7.5%
4 94
 
7.3%
7 87
 
6.8%
9 71
 
5.5%
8 71
 
5.5%
Other values (2) 47
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1285
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 326
25.4%
3 134
10.4%
2 133
10.4%
1 118
 
9.2%
6 108
 
8.4%
5 96
 
7.5%
4 94
 
7.3%
7 87
 
6.8%
9 71
 
5.5%
8 71
 
5.5%
Other values (2) 47
 
3.7%
Distinct228
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:10.709424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2736842
Min length1

Characters and Unicode

Total characters1244
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)38.4%

Sample

1st row14.6
2nd row29.3
3rd row10.9
4th row12.6
5th row39.2
ValueCountFrequency (%)
6.8 6
 
1.7%
6.3 5
 
1.4%
6.2 5
 
1.4%
7 5
 
1.4%
6.9 4
 
1.1%
3.6 4
 
1.1%
10.5 4
 
1.1%
6 4
 
1.1%
7.5 4
 
1.1%
5.2 4
 
1.1%
Other values (217) 309
87.3%
2023-12-12T16:13:11.306669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 316
25.4%
2 144
11.6%
1 131
10.5%
3 112
 
9.0%
5 91
 
7.3%
6 88
 
7.1%
4 88
 
7.1%
7 76
 
6.1%
9 75
 
6.0%
8 67
 
5.4%
Other values (2) 56
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 902
72.5%
Other Punctuation 316
 
25.4%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 144
16.0%
1 131
14.5%
3 112
12.4%
5 91
10.1%
6 88
9.8%
4 88
9.8%
7 76
8.4%
9 75
8.3%
8 67
7.4%
0 30
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 316
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1244
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 316
25.4%
2 144
11.6%
1 131
10.5%
3 112
 
9.0%
5 91
 
7.3%
6 88
 
7.1%
4 88
 
7.1%
7 76
 
6.1%
9 75
 
6.0%
8 67
 
5.4%
Other values (2) 56
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1244
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 316
25.4%
2 144
11.6%
1 131
10.5%
3 112
 
9.0%
5 91
 
7.3%
6 88
 
7.1%
4 88
 
7.1%
7 76
 
6.1%
9 75
 
6.0%
8 67
 
5.4%
Other values (2) 56
 
4.5%
Distinct203
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:11.729861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3.5
Mean length3.1473684
Min length1

Characters and Unicode

Total characters1196
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)32.6%

Sample

1st row14.5
2nd row29.2
3rd row9.3
4th row10.8
5th row14.3
ValueCountFrequency (%)
5.7 6
 
1.8%
5.9 6
 
1.8%
5.4 6
 
1.8%
7.1 5
 
1.5%
6 5
 
1.5%
5.5 4
 
1.2%
13.2 4
 
1.2%
6.8 4
 
1.2%
6.5 4
 
1.2%
15.1 4
 
1.2%
Other values (192) 284
85.5%
2023-12-12T16:13:12.357243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 303
25.3%
2 133
11.1%
3 124
10.4%
1 113
 
9.4%
5 105
 
8.8%
4 90
 
7.5%
6 82
 
6.9%
7 70
 
5.9%
9 57
 
4.8%
48
 
4.0%
Other values (2) 71
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 845
70.7%
Other Punctuation 303
 
25.3%
Space Separator 48
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 133
15.7%
3 124
14.7%
1 113
13.4%
5 105
12.4%
4 90
10.7%
6 82
9.7%
7 70
8.3%
9 57
6.7%
8 43
 
5.1%
0 28
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 303
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1196
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 303
25.3%
2 133
11.1%
3 124
10.4%
1 113
 
9.4%
5 105
 
8.8%
4 90
 
7.5%
6 82
 
6.9%
7 70
 
5.9%
9 57
 
4.8%
48
 
4.0%
Other values (2) 71
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 303
25.3%
2 133
11.1%
3 124
10.4%
1 113
 
9.4%
5 105
 
8.8%
4 90
 
7.5%
6 82
 
6.9%
7 70
 
5.9%
9 57
 
4.8%
48
 
4.0%
Other values (2) 71
 
5.9%
Distinct201
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:12.854460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9552632
Min length1

Characters and Unicode

Total characters1123
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)34.7%

Sample

1st row13.1
2nd row26.3
3rd row6.2
4th row7.2
5th row12.4
ValueCountFrequency (%)
6.3 7
 
2.3%
5.6 6
 
1.9%
31.6 5
 
1.6%
5.8 4
 
1.3%
23.7 4
 
1.3%
15.8 4
 
1.3%
8.8 4
 
1.3%
5 4
 
1.3%
4.5 4
 
1.3%
6.8 3
 
1.0%
Other values (190) 263
85.4%
2023-12-12T16:13:13.402502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
24.8%
3 113
10.1%
1 113
10.1%
2 110
 
9.8%
5 94
 
8.4%
6 75
 
6.7%
4 73
 
6.5%
72
 
6.4%
8 71
 
6.3%
7 63
 
5.6%
Other values (2) 61
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 773
68.8%
Other Punctuation 278
 
24.8%
Space Separator 72
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 113
14.6%
1 113
14.6%
2 110
14.2%
5 94
12.2%
6 75
9.7%
4 73
9.4%
8 71
9.2%
7 63
8.2%
9 35
 
4.5%
0 26
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1123
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 278
24.8%
3 113
10.1%
1 113
10.1%
2 110
 
9.8%
5 94
 
8.4%
6 75
 
6.7%
4 73
 
6.5%
72
 
6.4%
8 71
 
6.3%
7 63
 
5.6%
Other values (2) 61
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1123
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
24.8%
3 113
10.1%
1 113
10.1%
2 110
 
9.8%
5 94
 
8.4%
6 75
 
6.7%
4 73
 
6.5%
72
 
6.4%
8 71
 
6.3%
7 63
 
5.6%
Other values (2) 61
 
5.4%
Distinct241
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:13.780931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.3763158
Min length1

Characters and Unicode

Total characters1283
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)52.6%

Sample

1st row12.8
2nd row25.71
3rd row24.3
4th row28.22
5th row44.6
ValueCountFrequency (%)
3.2 6
 
1.9%
4.6 5
 
1.6%
4.9 5
 
1.6%
4.7 4
 
1.3%
2.2 4
 
1.3%
5.1 4
 
1.3%
3.9 4
 
1.3%
4.2 4
 
1.3%
6.4 3
 
1.0%
6.9 3
 
1.0%
Other values (230) 268
86.5%
2023-12-12T16:13:14.272581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 297
23.1%
2 150
11.7%
1 149
11.6%
4 114
 
8.9%
3 94
 
7.3%
6 87
 
6.8%
5 86
 
6.7%
9 80
 
6.2%
70
 
5.5%
7 66
 
5.1%
Other values (2) 90
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 916
71.4%
Other Punctuation 297
 
23.1%
Space Separator 70
 
5.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 150
16.4%
1 149
16.3%
4 114
12.4%
3 94
10.3%
6 87
9.5%
5 86
9.4%
9 80
8.7%
7 66
7.2%
8 59
 
6.4%
0 31
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 297
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1283
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 297
23.1%
2 150
11.7%
1 149
11.6%
4 114
 
8.9%
3 94
 
7.3%
6 87
 
6.8%
5 86
 
6.7%
9 80
 
6.2%
70
 
5.5%
7 66
 
5.1%
Other values (2) 90
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 297
23.1%
2 150
11.7%
1 149
11.6%
4 114
 
8.9%
3 94
 
7.3%
6 87
 
6.8%
5 86
 
6.7%
9 80
 
6.2%
70
 
5.5%
7 66
 
5.1%
Other values (2) 90
 
7.0%

2016_2분기_1층
Real number (ℝ)

Distinct158
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.386842
Minimum4.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:13:14.417873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.575
Q126.15
median100
Q3100
95-th percentile100
Maximum163.3
Range159.2
Interquartile range (IQR)73.85

Descriptive statistics

Standard deviation37.253584
Coefficient of variation (CV)0.5697413
Kurtosis-1.6913122
Mean65.386842
Median Absolute Deviation (MAD)2.3
Skewness-0.20167803
Sum24847
Variance1387.8295
MonotonicityNot monotonic
2023-12-12T16:13:14.582841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
17.1 4
 
1.1%
22.6 3
 
0.8%
20.9 2
 
0.5%
23.5 2
 
0.5%
15.9 2
 
0.5%
24.1 2
 
0.5%
16.4 2
 
0.5%
9.2 2
 
0.5%
26.9 2
 
0.5%
Other values (148) 169
44.5%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.7 1
0.3%
7.8 1
0.3%
8.6 1
0.3%
9.2 2
0.5%
9.5 1
0.3%
9.6 1
0.3%
10.0 1
0.3%
10.5 1
0.3%
ValueCountFrequency (%)
163.3 1
 
0.3%
100.0 190
50.0%
95.4 1
 
0.3%
86.0 1
 
0.3%
79.7 1
 
0.3%
79.4 1
 
0.3%
74.3 1
 
0.3%
72.6 1
 
0.3%
70.7 1
 
0.3%
68.4 1
 
0.3%
Distinct259
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:15.070489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5157895
Min length1

Characters and Unicode

Total characters1336
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)46.1%

Sample

1st row22.6
2nd row45.5
3rd row53
4th row61.6
5th row63.1
ValueCountFrequency (%)
8.3 5
 
1.3%
36.3 4
 
1.1%
12.8 4
 
1.1%
7.9 4
 
1.1%
52.2 4
 
1.1%
6.6 4
 
1.1%
10.4 4
 
1.1%
9 4
 
1.1%
47.1 3
 
0.8%
6.2 3
 
0.8%
Other values (248) 337
89.6%
2023-12-12T16:13:15.665535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 335
25.1%
1 155
11.6%
3 146
10.9%
4 130
 
9.7%
2 116
 
8.7%
5 99
 
7.4%
6 93
 
7.0%
8 78
 
5.8%
7 77
 
5.8%
9 73
 
5.5%
Other values (2) 34
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 997
74.6%
Other Punctuation 335
 
25.1%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 155
15.5%
3 146
14.6%
4 130
13.0%
2 116
11.6%
5 99
9.9%
6 93
9.3%
8 78
7.8%
7 77
7.7%
9 73
7.3%
0 30
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 335
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 335
25.1%
1 155
11.6%
3 146
10.9%
4 130
 
9.7%
2 116
 
8.7%
5 99
 
7.4%
6 93
 
7.0%
8 78
 
5.8%
7 77
 
5.8%
9 73
 
5.5%
Other values (2) 34
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 335
25.1%
1 155
11.6%
3 146
10.9%
4 130
 
9.7%
2 116
 
8.7%
5 99
 
7.4%
6 93
 
7.0%
8 78
 
5.8%
7 77
 
5.8%
9 73
 
5.5%
Other values (2) 34
 
2.5%
Distinct242
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:16.076965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4236842
Min length1

Characters and Unicode

Total characters1301
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)40.3%

Sample

1st row18
2nd row36.3
3rd row39.6
4th row46
5th row50.9
ValueCountFrequency (%)
6.7 7
 
1.9%
6.6 5
 
1.4%
7.5 5
 
1.4%
6.2 4
 
1.1%
10.4 4
 
1.1%
26.9 4
 
1.1%
6.8 4
 
1.1%
30.2 3
 
0.8%
28.5 3
 
0.8%
10.1 3
 
0.8%
Other values (231) 328
88.6%
2023-12-12T16:13:16.705755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 334
25.7%
3 132
 
10.1%
2 131
 
10.1%
1 123
 
9.5%
6 102
 
7.8%
5 99
 
7.6%
4 97
 
7.5%
7 93
 
7.1%
8 72
 
5.5%
9 71
 
5.5%
Other values (2) 47
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 957
73.6%
Other Punctuation 334
 
25.7%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 132
13.8%
2 131
13.7%
1 123
12.9%
6 102
10.7%
5 99
10.3%
4 97
10.1%
7 93
9.7%
8 72
7.5%
9 71
7.4%
0 37
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 334
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1301
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 334
25.7%
3 132
 
10.1%
2 131
 
10.1%
1 123
 
9.5%
6 102
 
7.8%
5 99
 
7.6%
4 97
 
7.5%
7 93
 
7.1%
8 72
 
5.5%
9 71
 
5.5%
Other values (2) 47
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 334
25.7%
3 132
 
10.1%
2 131
 
10.1%
1 123
 
9.5%
6 102
 
7.8%
5 99
 
7.6%
4 97
 
7.5%
7 93
 
7.1%
8 72
 
5.5%
9 71
 
5.5%
Other values (2) 47
 
3.6%
Distinct230
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:17.153891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2473684
Min length1

Characters and Unicode

Total characters1234
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)40.5%

Sample

1st row14.6
2nd row29.3
3rd row10.9
4th row12.6
5th row39.2
ValueCountFrequency (%)
6.8 6
 
1.7%
10.5 5
 
1.4%
5.1 5
 
1.4%
7 5
 
1.4%
6.3 5
 
1.4%
18 4
 
1.1%
5.7 4
 
1.1%
6 4
 
1.1%
8 4
 
1.1%
7.5 4
 
1.1%
Other values (219) 308
87.0%
2023-12-12T16:13:17.753817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 311
25.2%
2 140
11.3%
1 133
10.8%
3 112
 
9.1%
5 89
 
7.2%
4 85
 
6.9%
6 84
 
6.8%
7 79
 
6.4%
9 76
 
6.2%
8 69
 
5.6%
Other values (2) 56
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 897
72.7%
Other Punctuation 311
 
25.2%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 140
15.6%
1 133
14.8%
3 112
12.5%
5 89
9.9%
4 85
9.5%
6 84
9.4%
7 79
8.8%
9 76
8.5%
8 69
7.7%
0 30
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 311
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1234
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 311
25.2%
2 140
11.3%
1 133
10.8%
3 112
 
9.1%
5 89
 
7.2%
4 85
 
6.9%
6 84
 
6.8%
7 79
 
6.4%
9 76
 
6.2%
8 69
 
5.6%
Other values (2) 56
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 311
25.2%
2 140
11.3%
1 133
10.8%
3 112
 
9.1%
5 89
 
7.2%
4 85
 
6.9%
6 84
 
6.8%
7 79
 
6.4%
9 76
 
6.2%
8 69
 
5.6%
Other values (2) 56
 
4.5%
Distinct204
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:18.148810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.1631579
Min length1

Characters and Unicode

Total characters1202
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)31.1%

Sample

1st row14.5
2nd row29.2
3rd row9.3
4th row10.8
5th row14.3
ValueCountFrequency (%)
5.4 7
 
2.1%
5.9 6
 
1.8%
5.7 6
 
1.8%
7.1 6
 
1.8%
6.5 5
 
1.5%
6 4
 
1.2%
13.2 4
 
1.2%
7.5 4
 
1.2%
6.7 4
 
1.2%
15.4 3
 
0.9%
Other values (193) 283
85.2%
2023-12-12T16:13:18.735757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 306
25.5%
2 127
10.6%
1 124
10.3%
3 120
 
10.0%
5 104
 
8.7%
4 87
 
7.2%
6 84
 
7.0%
7 75
 
6.2%
9 59
 
4.9%
48
 
4.0%
Other values (2) 68
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 848
70.5%
Other Punctuation 306
 
25.5%
Space Separator 48
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 127
15.0%
1 124
14.6%
3 120
14.2%
5 104
12.3%
4 87
10.3%
6 84
9.9%
7 75
8.8%
9 59
7.0%
8 39
 
4.6%
0 29
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 306
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1202
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 306
25.5%
2 127
10.6%
1 124
10.3%
3 120
 
10.0%
5 104
 
8.7%
4 87
 
7.2%
6 84
 
7.0%
7 75
 
6.2%
9 59
 
4.9%
48
 
4.0%
Other values (2) 68
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1202
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 306
25.5%
2 127
10.6%
1 124
10.3%
3 120
 
10.0%
5 104
 
8.7%
4 87
 
7.2%
6 84
 
7.0%
7 75
 
6.2%
9 59
 
4.9%
48
 
4.0%
Other values (2) 68
 
5.7%
Distinct202
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:19.227951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9657895
Min length1

Characters and Unicode

Total characters1127
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)35.5%

Sample

1st row13.1
2nd row26.3
3rd row6.2
4th row7.2
5th row12.4
ValueCountFrequency (%)
6.3 7
 
2.3%
5.6 6
 
1.9%
5.8 5
 
1.6%
4.5 4
 
1.3%
5 4
 
1.3%
15.8 4
 
1.3%
8.8 4
 
1.3%
7.3 3
 
1.0%
6.7 3
 
1.0%
22.3 3
 
1.0%
Other values (191) 265
86.0%
2023-12-12T16:13:19.915240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 280
24.8%
3 117
10.4%
2 115
10.2%
1 110
 
9.8%
5 90
 
8.0%
6 75
 
6.7%
4 73
 
6.5%
72
 
6.4%
8 72
 
6.4%
7 56
 
5.0%
Other values (2) 67
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 775
68.8%
Other Punctuation 280
 
24.8%
Space Separator 72
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 117
15.1%
2 115
14.8%
1 110
14.2%
5 90
11.6%
6 75
9.7%
4 73
9.4%
8 72
9.3%
7 56
7.2%
9 40
 
5.2%
0 27
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 280
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1127
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 280
24.8%
3 117
10.4%
2 115
10.2%
1 110
 
9.8%
5 90
 
8.0%
6 75
 
6.7%
4 73
 
6.5%
72
 
6.4%
8 72
 
6.4%
7 56
 
5.0%
Other values (2) 67
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 280
24.8%
3 117
10.4%
2 115
10.2%
1 110
 
9.8%
5 90
 
8.0%
6 75
 
6.7%
4 73
 
6.5%
72
 
6.4%
8 72
 
6.4%
7 56
 
5.0%
Other values (2) 67
 
5.9%
Distinct236
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:20.345084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.3921053
Min length1

Characters and Unicode

Total characters1289
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)50.0%

Sample

1st row12.8
2nd row25.7
3rd row24.3
4th row28.22
5th row44.6
ValueCountFrequency (%)
4.6 6
 
1.9%
4.9 5
 
1.6%
6.2 4
 
1.3%
5.9 4
 
1.3%
3.2 4
 
1.3%
5.5 4
 
1.3%
6.4 3
 
1.0%
4.7 3
 
1.0%
4.2 3
 
1.0%
4.3 3
 
1.0%
Other values (225) 271
87.4%
2023-12-12T16:13:20.939474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 298
23.1%
2 156
12.1%
1 141
10.9%
4 98
 
7.6%
3 97
 
7.5%
6 96
 
7.4%
5 84
 
6.5%
9 76
 
5.9%
7 74
 
5.7%
70
 
5.4%
Other values (2) 99
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 921
71.5%
Other Punctuation 298
 
23.1%
Space Separator 70
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 156
16.9%
1 141
15.3%
4 98
10.6%
3 97
10.5%
6 96
10.4%
5 84
9.1%
9 76
8.3%
7 74
8.0%
8 67
7.3%
0 32
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 298
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1289
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 298
23.1%
2 156
12.1%
1 141
10.9%
4 98
 
7.6%
3 97
 
7.5%
6 96
 
7.4%
5 84
 
6.5%
9 76
 
5.9%
7 74
 
5.7%
70
 
5.4%
Other values (2) 99
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 298
23.1%
2 156
12.1%
1 141
10.9%
4 98
 
7.6%
3 97
 
7.5%
6 96
 
7.4%
5 84
 
6.5%
9 76
 
5.9%
7 74
 
5.7%
70
 
5.4%
Other values (2) 99
 
7.7%

2016_3분기_1층
Real number (ℝ)

Distinct161
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.369211
Minimum4.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:13:21.107137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.575
Q126.05
median100
Q3100
95-th percentile100
Maximum163.3
Range159.2
Interquartile range (IQR)73.95

Descriptive statistics

Standard deviation37.26655
Coefficient of variation (CV)0.57009332
Kurtosis-1.6925488
Mean65.369211
Median Absolute Deviation (MAD)2.3
Skewness-0.20089265
Sum24840.3
Variance1388.7958
MonotonicityNot monotonic
2023-12-12T16:13:21.258067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
23.3 4
 
1.1%
17.1 3
 
0.8%
23.8 2
 
0.5%
20.8 2
 
0.5%
21.7 2
 
0.5%
16.4 2
 
0.5%
24.1 2
 
0.5%
15.1 2
 
0.5%
27.8 2
 
0.5%
Other values (151) 169
44.5%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.7 1
0.3%
7.8 1
0.3%
8.6 1
0.3%
9.2 2
0.5%
9.5 1
0.3%
9.6 1
0.3%
10.0 1
0.3%
10.5 1
0.3%
ValueCountFrequency (%)
163.3 1
 
0.3%
100.0 190
50.0%
95.4 1
 
0.3%
86.0 1
 
0.3%
79.7 1
 
0.3%
79.4 1
 
0.3%
74.3 1
 
0.3%
72.6 1
 
0.3%
70.7 1
 
0.3%
68.4 1
 
0.3%
Distinct272
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:21.679605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5184211
Min length1

Characters and Unicode

Total characters1337
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)51.1%

Sample

1st row22.6
2nd row45.5
3rd row53
4th row61.6
5th row63.1
ValueCountFrequency (%)
8.3 6
 
1.6%
6.6 4
 
1.1%
6.4 4
 
1.1%
12.8 4
 
1.1%
36.3 4
 
1.1%
8.9 4
 
1.1%
7.9 4
 
1.1%
10.4 4
 
1.1%
9 4
 
1.1%
8.2 3
 
0.8%
Other values (261) 335
89.1%
2023-12-12T16:13:22.666746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 335
25.1%
3 159
11.9%
1 145
10.8%
4 133
 
9.9%
2 116
 
8.7%
6 92
 
6.9%
5 92
 
6.9%
8 82
 
6.1%
7 80
 
6.0%
9 69
 
5.2%
Other values (2) 34
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 998
74.6%
Other Punctuation 335
 
25.1%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 159
15.9%
1 145
14.5%
4 133
13.3%
2 116
11.6%
6 92
9.2%
5 92
9.2%
8 82
8.2%
7 80
8.0%
9 69
6.9%
0 30
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 335
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1337
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 335
25.1%
3 159
11.9%
1 145
10.8%
4 133
 
9.9%
2 116
 
8.7%
6 92
 
6.9%
5 92
 
6.9%
8 82
 
6.1%
7 80
 
6.0%
9 69
 
5.2%
Other values (2) 34
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 335
25.1%
3 159
11.9%
1 145
10.8%
4 133
 
9.9%
2 116
 
8.7%
6 92
 
6.9%
5 92
 
6.9%
8 82
 
6.1%
7 80
 
6.0%
9 69
 
5.2%
Other values (2) 34
 
2.5%
Distinct241
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:23.153687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3947368
Min length1

Characters and Unicode

Total characters1290
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)41.8%

Sample

1st row18
2nd row36.2
3rd row39.6
4th row46
5th row50.9
ValueCountFrequency (%)
6.7 7
 
1.9%
7.5 6
 
1.6%
7.9 5
 
1.4%
7.2 4
 
1.1%
10.3 4
 
1.1%
28.5 4
 
1.1%
30.5 4
 
1.1%
37.3 4
 
1.1%
6.6 4
 
1.1%
29.7 4
 
1.1%
Other values (230) 324
87.6%
2023-12-12T16:13:23.797073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 329
25.5%
3 136
10.5%
2 132
10.2%
1 111
 
8.6%
5 102
 
7.9%
4 98
 
7.6%
6 93
 
7.2%
7 91
 
7.1%
8 80
 
6.2%
9 71
 
5.5%
Other values (2) 47
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 951
73.7%
Other Punctuation 329
 
25.5%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 136
14.3%
2 132
13.9%
1 111
11.7%
5 102
10.7%
4 98
10.3%
6 93
9.8%
7 91
9.6%
8 80
8.4%
9 71
7.5%
0 37
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 329
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 329
25.5%
3 136
10.5%
2 132
10.2%
1 111
 
8.6%
5 102
 
7.9%
4 98
 
7.6%
6 93
 
7.2%
7 91
 
7.1%
8 80
 
6.2%
9 71
 
5.5%
Other values (2) 47
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 329
25.5%
3 136
10.5%
2 132
10.2%
1 111
 
8.6%
5 102
 
7.9%
4 98
 
7.6%
6 93
 
7.2%
7 91
 
7.1%
8 80
 
6.2%
9 71
 
5.5%
Other values (2) 47
 
3.6%
Distinct224
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:24.301075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2763158
Min length1

Characters and Unicode

Total characters1245
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)37.6%

Sample

1st row14.6
2nd row29.3
3rd row10.9
4th row12.6
5th row39.2
ValueCountFrequency (%)
6.8 6
 
1.7%
6.3 5
 
1.4%
22.7 5
 
1.4%
7 5
 
1.4%
6 4
 
1.1%
6.2 4
 
1.1%
10.9 4
 
1.1%
5.1 4
 
1.1%
6.9 4
 
1.1%
17.8 4
 
1.1%
Other values (213) 309
87.3%
2023-12-12T16:13:24.929710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 317
25.5%
2 142
11.4%
1 128
10.3%
3 115
 
9.2%
5 94
 
7.6%
7 84
 
6.7%
6 81
 
6.5%
4 81
 
6.5%
9 80
 
6.4%
8 63
 
5.1%
Other values (2) 60
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 902
72.4%
Other Punctuation 317
 
25.5%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 142
15.7%
1 128
14.2%
3 115
12.7%
5 94
10.4%
7 84
9.3%
6 81
9.0%
4 81
9.0%
9 80
8.9%
8 63
7.0%
0 34
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 317
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 317
25.5%
2 142
11.4%
1 128
10.3%
3 115
 
9.2%
5 94
 
7.6%
7 84
 
6.7%
6 81
 
6.5%
4 81
 
6.5%
9 80
 
6.4%
8 63
 
5.1%
Other values (2) 60
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 317
25.5%
2 142
11.4%
1 128
10.3%
3 115
 
9.2%
5 94
 
7.6%
7 84
 
6.7%
6 81
 
6.5%
4 81
 
6.5%
9 80
 
6.4%
8 63
 
5.1%
Other values (2) 60
 
4.8%
Distinct201
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:25.485031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.1763158
Min length1

Characters and Unicode

Total characters1207
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)30.3%

Sample

1st row14.5
2nd row29.2
3rd row9.3
4th row10.8
5th row14.3
ValueCountFrequency (%)
5.9 6
 
1.8%
5.7 6
 
1.8%
7.1 6
 
1.8%
5.4 6
 
1.8%
6.5 5
 
1.5%
23.6 5
 
1.5%
6.8 4
 
1.2%
6 4
 
1.2%
13.2 4
 
1.2%
5.5 4
 
1.2%
Other values (190) 282
84.9%
2023-12-12T16:13:26.138924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 308
25.5%
2 131
10.9%
1 123
 
10.2%
3 121
 
10.0%
5 107
 
8.9%
6 87
 
7.2%
4 84
 
7.0%
7 75
 
6.2%
9 54
 
4.5%
48
 
4.0%
Other values (2) 69
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 851
70.5%
Other Punctuation 308
 
25.5%
Space Separator 48
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 131
15.4%
1 123
14.5%
3 121
14.2%
5 107
12.6%
6 87
10.2%
4 84
9.9%
7 75
8.8%
9 54
6.3%
8 40
 
4.7%
0 29
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 308
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1207
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 308
25.5%
2 131
10.9%
1 123
 
10.2%
3 121
 
10.0%
5 107
 
8.9%
6 87
 
7.2%
4 84
 
7.0%
7 75
 
6.2%
9 54
 
4.5%
48
 
4.0%
Other values (2) 69
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1207
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 308
25.5%
2 131
10.9%
1 123
 
10.2%
3 121
 
10.0%
5 107
 
8.9%
6 87
 
7.2%
4 84
 
7.0%
7 75
 
6.2%
9 54
 
4.5%
48
 
4.0%
Other values (2) 69
 
5.7%
Distinct208
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:26.612693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9947368
Min length1

Characters and Unicode

Total characters1138
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)36.6%

Sample

1st row13.1
2nd row26.4
3rd row6.2
4th row7.2
5th row12.3
ValueCountFrequency (%)
6.8 5
 
1.6%
5.1 5
 
1.6%
5.8 5
 
1.6%
6.3 5
 
1.6%
5.6 5
 
1.6%
4.5 4
 
1.3%
5.4 4
 
1.3%
6.2 4
 
1.3%
4.9 3
 
1.0%
18.3 3
 
1.0%
Other values (197) 265
86.0%
2023-12-12T16:13:27.240351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 285
25.0%
2 117
10.3%
1 116
10.2%
3 111
 
9.8%
5 84
 
7.4%
4 83
 
7.3%
6 75
 
6.6%
72
 
6.3%
8 69
 
6.1%
7 56
 
4.9%
Other values (2) 70
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 781
68.6%
Other Punctuation 285
 
25.0%
Space Separator 72
 
6.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 117
15.0%
1 116
14.9%
3 111
14.2%
5 84
10.8%
4 83
10.6%
6 75
9.6%
8 69
8.8%
7 56
7.2%
9 44
 
5.6%
0 26
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 285
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1138
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 285
25.0%
2 117
10.3%
1 116
10.2%
3 111
 
9.8%
5 84
 
7.4%
4 83
 
7.3%
6 75
 
6.6%
72
 
6.3%
8 69
 
6.1%
7 56
 
4.9%
Other values (2) 70
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1138
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 285
25.0%
2 117
10.3%
1 116
10.2%
3 111
 
9.8%
5 84
 
7.4%
4 83
 
7.3%
6 75
 
6.6%
72
 
6.3%
8 69
 
6.1%
7 56
 
4.9%
Other values (2) 70
 
6.2%
Distinct235
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:27.676247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.3842105
Min length1

Characters and Unicode

Total characters1286
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)50.3%

Sample

1st row12.8
2nd row25.71
3rd row24.3
4th row28.22
5th row44.6
ValueCountFrequency (%)
4.6 6
 
1.9%
5.9 6
 
1.9%
4.9 6
 
1.9%
3.2 5
 
1.6%
5.1 4
 
1.3%
3.6 4
 
1.3%
5.5 4
 
1.3%
4.3 3
 
1.0%
7.3 3
 
1.0%
5.4 3
 
1.0%
Other values (224) 266
85.8%
2023-12-12T16:13:28.241695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 296
23.0%
2 153
11.9%
1 149
11.6%
4 102
 
7.9%
3 95
 
7.4%
6 90
 
7.0%
5 84
 
6.5%
9 75
 
5.8%
8 71
 
5.5%
70
 
5.4%
Other values (2) 101
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 920
71.5%
Other Punctuation 296
 
23.0%
Space Separator 70
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 153
16.6%
1 149
16.2%
4 102
11.1%
3 95
10.3%
6 90
9.8%
5 84
9.1%
9 75
8.2%
8 71
7.7%
7 69
7.5%
0 32
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 296
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 296
23.0%
2 153
11.9%
1 149
11.6%
4 102
 
7.9%
3 95
 
7.4%
6 90
 
7.0%
5 84
 
6.5%
9 75
 
5.8%
8 71
 
5.5%
70
 
5.4%
Other values (2) 101
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 296
23.0%
2 153
11.9%
1 149
11.6%
4 102
 
7.9%
3 95
 
7.4%
6 90
 
7.0%
5 84
 
6.5%
9 75
 
5.8%
8 71
 
5.5%
70
 
5.4%
Other values (2) 101
 
7.9%

2016_4분기_1층
Real number (ℝ)

Distinct153
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.350263
Minimum4.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:13:28.397841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile13.575
Q125.95
median100
Q3100
95-th percentile100
Maximum163.3
Range159.2
Interquartile range (IQR)74.05

Descriptive statistics

Standard deviation37.285085
Coefficient of variation (CV)0.57054224
Kurtosis-1.6933249
Mean65.350263
Median Absolute Deviation (MAD)2.3
Skewness-0.20062765
Sum24833.1
Variance1390.1776
MonotonicityNot monotonic
2023-12-12T16:13:28.554323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 190
50.0%
23.3 4
 
1.1%
17.1 3
 
0.8%
23.8 3
 
0.8%
12.5 3
 
0.8%
13.6 2
 
0.5%
26.9 2
 
0.5%
9.2 2
 
0.5%
21.7 2
 
0.5%
22.9 2
 
0.5%
Other values (143) 167
43.9%
ValueCountFrequency (%)
4.1 1
0.3%
6.1 1
0.3%
7.8 1
0.3%
7.9 1
0.3%
8.5 1
0.3%
9.2 2
0.5%
9.5 1
0.3%
9.6 1
0.3%
10.0 1
0.3%
10.5 1
0.3%
ValueCountFrequency (%)
163.3 1
 
0.3%
100.0 190
50.0%
95.4 1
 
0.3%
86.0 1
 
0.3%
79.7 1
 
0.3%
79.4 1
 
0.3%
74.3 1
 
0.3%
72.6 1
 
0.3%
70.7 1
 
0.3%
68.4 1
 
0.3%
Distinct269
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:28.941650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5394737
Min length1

Characters and Unicode

Total characters1345
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)50.8%

Sample

1st row22.6
2nd row45.5
3rd row53
4th row61.6
5th row63.1
ValueCountFrequency (%)
8.3 6
 
1.6%
6.4 5
 
1.3%
12.8 5
 
1.3%
8.9 5
 
1.3%
11.2 4
 
1.1%
7.9 4
 
1.1%
33.2 4
 
1.1%
11 3
 
0.8%
10.4 3
 
0.8%
7.7 3
 
0.8%
Other values (258) 334
88.8%
2023-12-12T16:13:29.462202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 339
25.2%
3 158
11.7%
1 149
11.1%
4 128
 
9.5%
2 120
 
8.9%
5 96
 
7.1%
6 87
 
6.5%
7 83
 
6.2%
8 81
 
6.0%
9 69
 
5.1%
Other values (2) 35
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1002
74.5%
Other Punctuation 339
 
25.2%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 158
15.8%
1 149
14.9%
4 128
12.8%
2 120
12.0%
5 96
9.6%
6 87
8.7%
7 83
8.3%
8 81
8.1%
9 69
6.9%
0 31
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 339
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1345
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 339
25.2%
3 158
11.7%
1 149
11.1%
4 128
 
9.5%
2 120
 
8.9%
5 96
 
7.1%
6 87
 
6.5%
7 83
 
6.2%
8 81
 
6.0%
9 69
 
5.1%
Other values (2) 35
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1345
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 339
25.2%
3 158
11.7%
1 149
11.1%
4 128
 
9.5%
2 120
 
8.9%
5 96
 
7.1%
6 87
 
6.5%
7 83
 
6.2%
8 81
 
6.0%
9 69
 
5.1%
Other values (2) 35
 
2.6%
Distinct238
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:29.847894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4131579
Min length1

Characters and Unicode

Total characters1297
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)39.5%

Sample

1st row18
2nd row36.2
3rd row39.6
4th row46
5th row50.9
ValueCountFrequency (%)
6.7 6
 
1.6%
7.5 6
 
1.6%
7.9 5
 
1.4%
6.2 5
 
1.4%
6.5 4
 
1.1%
6.8 4
 
1.1%
10.3 4
 
1.1%
8.5 4
 
1.1%
29.7 4
 
1.1%
6.6 4
 
1.1%
Other values (227) 324
87.6%
2023-12-12T16:13:30.419742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 333
25.7%
3 136
10.5%
2 133
 
10.3%
1 118
 
9.1%
5 100
 
7.7%
7 95
 
7.3%
4 94
 
7.2%
6 91
 
7.0%
9 76
 
5.9%
8 74
 
5.7%
Other values (2) 47
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 954
73.6%
Other Punctuation 333
 
25.7%
Space Separator 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 136
14.3%
2 133
13.9%
1 118
12.4%
5 100
10.5%
7 95
10.0%
4 94
9.9%
6 91
9.5%
9 76
8.0%
8 74
7.8%
0 37
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 333
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 333
25.7%
3 136
10.5%
2 133
 
10.3%
1 118
 
9.1%
5 100
 
7.7%
7 95
 
7.3%
4 94
 
7.2%
6 91
 
7.0%
9 76
 
5.9%
8 74
 
5.7%
Other values (2) 47
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 333
25.7%
3 136
10.5%
2 133
 
10.3%
1 118
 
9.1%
5 100
 
7.7%
7 95
 
7.3%
4 94
 
7.2%
6 91
 
7.0%
9 76
 
5.9%
8 74
 
5.7%
Other values (2) 47
 
3.6%
Distinct225
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:30.848524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.25
Min length1

Characters and Unicode

Total characters1235
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)38.4%

Sample

1st row14.6
2nd row29.3
3rd row10.9
4th row12.6
5th row39.2
ValueCountFrequency (%)
6.8 5
 
1.4%
6.9 5
 
1.4%
6.3 5
 
1.4%
22.7 5
 
1.4%
18 4
 
1.1%
7 4
 
1.1%
6.5 4
 
1.1%
29 4
 
1.1%
6.2 4
 
1.1%
17.8 4
 
1.1%
Other values (214) 310
87.6%
2023-12-12T16:13:31.471008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 312
25.3%
2 142
11.5%
1 126
10.2%
3 113
 
9.1%
5 91
 
7.4%
7 87
 
7.0%
6 83
 
6.7%
9 82
 
6.6%
4 81
 
6.6%
8 59
 
4.8%
Other values (2) 59
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 897
72.6%
Other Punctuation 312
 
25.3%
Space Separator 26
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 142
15.8%
1 126
14.0%
3 113
12.6%
5 91
10.1%
7 87
9.7%
6 83
9.3%
9 82
9.1%
4 81
9.0%
8 59
6.6%
0 33
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 312
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1235
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 312
25.3%
2 142
11.5%
1 126
10.2%
3 113
 
9.1%
5 91
 
7.4%
7 87
 
7.0%
6 83
 
6.7%
9 82
 
6.6%
4 81
 
6.6%
8 59
 
4.8%
Other values (2) 59
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 312
25.3%
2 142
11.5%
1 126
10.2%
3 113
 
9.1%
5 91
 
7.4%
7 87
 
7.0%
6 83
 
6.7%
9 82
 
6.6%
4 81
 
6.6%
8 59
 
4.8%
Other values (2) 59
 
4.8%
Distinct205
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:31.976347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.1763158
Min length1

Characters and Unicode

Total characters1207
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)32.4%

Sample

1st row14.5
2nd row29.2
3rd row9.3
4th row10.8
5th row14.3
ValueCountFrequency (%)
5.4 7
 
2.1%
7.1 6
 
1.8%
5.7 6
 
1.8%
5.9 6
 
1.8%
6.5 5
 
1.5%
6.3 5
 
1.5%
6 4
 
1.2%
6.8 4
 
1.2%
13.2 4
 
1.2%
5.5 3
 
0.9%
Other values (194) 282
84.9%
2023-12-12T16:13:32.602056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 308
25.5%
2 130
10.8%
1 120
 
9.9%
3 120
 
9.9%
5 109
 
9.0%
6 86
 
7.1%
4 83
 
6.9%
7 74
 
6.1%
9 57
 
4.7%
48
 
4.0%
Other values (2) 72
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 851
70.5%
Other Punctuation 308
 
25.5%
Space Separator 48
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 130
15.3%
1 120
14.1%
3 120
14.1%
5 109
12.8%
6 86
10.1%
4 83
9.8%
7 74
8.7%
9 57
6.7%
8 42
 
4.9%
0 30
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 308
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1207
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 308
25.5%
2 130
10.8%
1 120
 
9.9%
3 120
 
9.9%
5 109
 
9.0%
6 86
 
7.1%
4 83
 
6.9%
7 74
 
6.1%
9 57
 
4.7%
48
 
4.0%
Other values (2) 72
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1207
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 308
25.5%
2 130
10.8%
1 120
 
9.9%
3 120
 
9.9%
5 109
 
9.0%
6 86
 
7.1%
4 83
 
6.9%
7 74
 
6.1%
9 57
 
4.7%
48
 
4.0%
Other values (2) 72
 
6.0%
Distinct206
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:13:33.041555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9973684
Min length1

Characters and Unicode

Total characters1139
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)36.6%

Sample

1st row13.1
2nd row26.4
3rd row6.2
4th row7.2
5th row12.3
ValueCountFrequency (%)
6.3 6
 
1.9%
5.6 6
 
1.9%
5.1 5
 
1.6%
6.5 4
 
1.3%
23.6 4
 
1.3%
5.8 4
 
1.3%
4.5 4
 
1.3%
8.6 4
 
1.3%
6.8 4
 
1.3%
5.4 4
 
1.3%
Other values (195) 263
85.4%
2023-12-12T16:13:33.606850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 286
25.1%
2 119
10.4%
1 113
 
9.9%
3 107
 
9.4%
5 94
 
8.3%
4 77
 
6.8%
6 76
 
6.7%
72
 
6.3%
8 67
 
5.9%
7 55
 
4.8%
Other values (2) 73
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 781
68.6%
Other Punctuation 286
 
25.1%
Space Separator 72
 
6.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 119
15.2%
1 113
14.5%
3 107
13.7%
5 94
12.0%
4 77
9.9%
6 76
9.7%
8 67
8.6%
7 55
7.0%
9 47
 
6.0%
0 26
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 286
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1139
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 286
25.1%
2 119
10.4%
1 113
 
9.9%
3 107
 
9.4%
5 94
 
8.3%
4 77
 
6.8%
6 76
 
6.7%
72
 
6.3%
8 67
 
5.9%
7 55
 
4.8%
Other values (2) 73
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 286
25.1%
2 119
10.4%
1 113
 
9.9%
3 107
 
9.4%
5 94
 
8.3%
4 77
 
6.8%
6 76
 
6.7%
72
 
6.3%
8 67
 
5.9%
7 55
 
4.8%
Other values (2) 73
 
6.4%

Sample

시도 광역상권 하위상권 구분2014_1분기_지하1층2014_1분기_1층2014_1분기_2층2014_1분기_3층2014_1분기_4층2014_1분기_5층2014_1분기_6-10층2014_2분기_지하1층2014_2분기_1층2014_2분기_2층2014_2분기_3층2014_2분기_4층2014_2분기_5층2014_2분기_6-10층2014_3분기_지하1층2014_3분기_1층2014_3분기_2층2014_3분기_3층2014_3분기_4층2014_3분기_5층2014_3분기_6-10층2014_4분기_지하1층2014_4분기_1층2014_4분기_2층2014_4분기_3층2014_4분기_4층2014_4분기_5층2014_4분기_6-10층2015_1분기_지하1층2015_1분기_1층2015_1분기_2층2015_1분기_3층2015_1분기_4층2015_1분기_5층2015_1분기_6-10층2015_2분기_지하1층2015_2분기_1층2015_2분기_2층2015_2분기_3층2015_2분기_4층2015_2분기_5층2015_2분기_6-10층2015_3분기_지하1층2015_3분기_1층2015_3분기_2층2015_3분기_3층2015_3분기_4층2015_3분기_5층2015_3분기_6-10층2015_4분기_지하1층2015_4분기_1층2015_4분기_2층2015_4분기_3층2015_4분기_4층2015_4분기_5층2015_4분기_6-10층2016_1분기_지하1층2016_1분기_1층2016_1분기_2층2016_1분기_3층2016_1분기_4층2016_1분기_5층2016_1분기_6-10층2016_2분기_지하1층2016_2분기_1층2016_2분기_2층2016_2분기_3층2016_2분기_4층2016_2분기_5층2016_2분기_6-10층2016_3분기_지하1층2016_3분기_1층2016_3분기_2층2016_3분기_3층2016_3분기_4층2016_3분기_5층2016_3분기_6-10층2016_4분기_지하1층2016_4분기_1층2016_4분기_2층2016_4분기_3층2016_4분기_4층2016_4분기_5층2016_4분기_6-10층
0서울 임대료12.849.622.71814.514.713.212.849.622.71814.514.613.112.849.522.71814.514.613.112.849.522.61814.514.613.112.849.622.71814.514.513.112.849.622.71814.614.513.112.849.722.71814.614.513.112.849.722.61814.514.513.112.849.722.61814.614.513.112.849.722.61814.614.513.112.849.622.61814.614.513.112.849.622.61814.614.513.1
1서울 효용비율25.8100.045.736.329.329.626.725.8100.045.736.229.329.326.425.9100.045.736.329.329.426.425.8100.045.736.329.329.426.425.8100.045.736.329.329.226.425.8100.045.736.329.329.326.425.8100.045.636.229.329.226.425.73100.045.636.229.329.226.325.7100.045.536.229.329.226.325.71100.045.536.329.329.226.325.7100.045.536.229.329.226.425.71100.045.536.229.329.226.4
2서울 도심 임대료24.586.15339.610.910.46.924.586.15339.610.99.56.224.586.15339.610.99.56.224.586.25339.610.99.56.224.586.25339.610.99.56.224.586.25339.610.99.56.224.686.353.239.710.99.56.224.386.353.239.710.99.36.224.386.05339.610.99.36.224.386.05339.610.99.36.224.386.05339.610.99.36.224.386.05339.610.99.36.2
3서울 도심 효용비율28.5100.061.64612.712828.5100.061.64612.711.17.228.5100.061.64612.711.17.228.4100.061.64612.711.17.228.4100.061.545.912.7117.228.4100.061.545.912.7117.228.5100.061.74612.6117.228.13100.061.64612.610.87.228.23100.061.64612.610.87.228.22100.061.64612.610.87.228.22100.061.64612.610.87.228.22100.061.64612.610.87.2
4서울 도심 동대문 임대료46.196.063.551.339.516.815.446.196.063.551.339.514.812.446.196.063.551.339.514.812.446.196.063.551.339.514.812.446.196.063.551.339.514.812.446.196.063.551.339.514.812.446.196.063.651.339.514.812.444.995.963.651.339.514.412.444.695.463.150.939.214.312.444.695.463.150.939.214.312.444.695.463.150.939.214.312.344.695.463.150.939.214.312.3
5서울 도심 동대문 효용비율48100.066.253.541.217.516.148100.066.253.541.215.41348100.066.253.541.215.41348100.066.253.541.215.41348100.066.253.541.215.41348100.066.253.541.215.41348100.066.353.541.215.41346.8100.066.353.541.2151346.73100.066.153.441.1151346.73100.066.153.441.1151346.73100.066.253.441.11512.946.73100.066.253.441.11512.9
6서울 도심 서울역 임대료229.4163.2159.3124.7229.4163.3159.4124.7229.4163.3159.4124.7229.4163.3159.4124.7229.4163.3159.4124.7229.4163.3159.4124.7229.4163.3159.4124.7229.4163.3159.4124.7229.4163.3159.6124.7229.4163.3159.6124.7229.4163.3159.6124.7229.4163.3159.6124.7
7서울 도심 서울역 효용비율140.6100.097.676.4140.5100.097.676.4140.5100.097.676.4140.5100.097.676.4140.5100.097.676.4140.5100.097.676.4140.5100.097.676.4140.5100.097.676.4140.5100.097.776.4140.5100.097.776.4140.5100.097.776.4140.5100.097.776.4
8서울 도심 종로 임대료7.537.512.6135.65.84.57.537.512.6135.65.84.57.537.512.6135.65.84.57.537.612.6135.65.84.57.537.812.612.95.65.74.57.537.812.612.95.65.74.57.638.012.913.25.65.74.57.638.012.913.25.65.74.57.737.912.813.15.65.74.57.737.912.813.15.65.74.57.737.912.813.15.65.74.57.737.912.813.15.65.74.5
9서울 도심 종로 효용비율20.1100.033.634.61515.412.120100.033.634.61515.41220100.033.634.61515.41219.9100.033.534.51515.41219.8100.033.434.314.915.111.919.8100.033.434.314.915.111.920100.03434.714.815.111.919.95100.033.934.714.815.111.920.28100.033.834.614.815.111.920.26100.033.834.614.81511.920.26100.033.834.614.81511.920.26100.033.834.614.81511.9
시도 광역상권 하위상권 구분2014_1분기_지하1층2014_1분기_1층2014_1분기_2층2014_1분기_3층2014_1분기_4층2014_1분기_5층2014_1분기_6-10층2014_2분기_지하1층2014_2분기_1층2014_2분기_2층2014_2분기_3층2014_2분기_4층2014_2분기_5층2014_2분기_6-10층2014_3분기_지하1층2014_3분기_1층2014_3분기_2층2014_3분기_3층2014_3분기_4층2014_3분기_5층2014_3분기_6-10층2014_4분기_지하1층2014_4분기_1층2014_4분기_2층2014_4분기_3층2014_4분기_4층2014_4분기_5층2014_4분기_6-10층2015_1분기_지하1층2015_1분기_1층2015_1분기_2층2015_1분기_3층2015_1분기_4층2015_1분기_5층2015_1분기_6-10층2015_2분기_지하1층2015_2분기_1층2015_2분기_2층2015_2분기_3층2015_2분기_4층2015_2분기_5층2015_2분기_6-10층2015_3분기_지하1층2015_3분기_1층2015_3분기_2층2015_3분기_3층2015_3분기_4층2015_3분기_5층2015_3분기_6-10층2015_4분기_지하1층2015_4분기_1층2015_4분기_2층2015_4분기_3층2015_4분기_4층2015_4분기_5층2015_4분기_6-10층2016_1분기_지하1층2016_1분기_1층2016_1분기_2층2016_1분기_3층2016_1분기_4층2016_1분기_5층2016_1분기_6-10층2016_2분기_지하1층2016_2분기_1층2016_2분기_2층2016_2분기_3층2016_2분기_4층2016_2분기_5층2016_2분기_6-10층2016_3분기_지하1층2016_3분기_1층2016_3분기_2층2016_3분기_3층2016_3분기_4층2016_3분기_5층2016_3분기_6-10층2016_4분기_지하1층2016_4분기_1층2016_4분기_2층2016_4분기_3층2016_4분기_4층2016_4분기_5층2016_4분기_6-10층
370경남 창원시월영동 임대료6.340.31410.37.46.66.36.340.514.110.37.46.66.36.340.514.110.37.46.66.36.340.514.110.37.46.66.36.340.514.110.37.46.66.36.340.514.110.37.46.66.36.340.514.110.37.46.66.36.340.514.110.37.46.66.36.340.214.110.47.36.66.36.340.214.110.47.36.66.36.239.913.910.37.36.66.25.939.313.610.17.26.56.1
371경남 창원시월영동 효용비율15.5100.034.625.618.416.415.715.5100.034.925.518.316.415.615.5100.034.925.518.316.415.615.5100.034.925.518.316.415.615.5100.034.925.518.316.415.615.5100.034.925.518.316.415.615.5100.034.925.518.316.415.615.45100.034.925.518.316.415.615.55100.034.925.818.216.515.715.55100.034.925.818.216.515.715.46100.034.825.818.216.515.615100.034.625.718.216.615.6
372경남 창원역 임대료7.318.18.56.95.85.867.117.48.56.95.85.867.117.48.56.95.85.867.117.48.56.95.85.767.117.48.56.95.85.767.117.48.56.95.85.767.117.48.56.95.85.767.117.48.56.95.85.767.117.48.56.95.85.76717.48.46.75.85.76717.48.46.75.85.76717.28.46.75.85.75.9
373경남 창원역 효용비율40.6100.046.838.132.232.333.340.5100.048.639.633.533.634.640.5100.048.639.633.533.634.640.5100.048.639.633.532.834.640.5100.048.639.633.532.834.640.5100.048.639.633.532.834.640.5100.048.639.633.532.834.640.52100.048.639.633.532.834.640.52100.048.639.633.532.834.640.54100.048.638.933.532.834.640.54100.048.638.933.532.834.640.59100.048.638.933.432.834.5
374제주 임대료4.210.076.65.36.47.64.210.076.666.47.64.210.076.65.96.47.6410.076.65.96.47.649.976.666.47.649.976.666.47.649.96.96.666.47.6410.06.96.766.47.6410.06.96.766.47.6410.06.96.766.47.6410.06.96.766.37.6410.06.96.766.37.6
375제주 효용비율41.9100.0706652.964.375.942.4100.069.965.96064.275.842.4100.069.965.959.364.275.840.5100.069.96659.363.775.840.8100.070.766.56064.276.340.7100.070.666.46064.176.240.6100.068.966.359.86476.140.57100.068.867.459.863.97640.42100.068.667.159.563.675.740.28100.068.366.959.463.475.440.28100.068.666.960.162.675.440.28100.068.666.960.162.675.4
376제주 노형오거리 임대료312.58.66.46.26.77.3312.58.66.46.26.77.3312.58.66.46.26.77.3312.58.66.46.26.77.3312.58.66.46.26.77.3312.58.66.46.26.77.3312.58.26.46.26.77.3312.58.26.46.26.77.3312.58.26.46.26.77.3312.58.26.46.26.77.3312.58.26.46.26.57.3312.58.26.46.26.57.3
377제주 노형오거리 효용비율24.1100.068.65149.353.358.324.1100.068.65149.353.358.324.1100.068.65149.353.358.324.1100.068.65149.353.358.324.1100.068.65149.353.358.324.1100.068.65149.353.358.324.1100.065.15149.353.358.324.09100.065.15149.353.358.324.09100.065.15149.353.358.324.09100.065.15149.353.358.324.09100.065.15149.352.158.324.09100.065.15149.352.158.3
378제주 제주 임대료10.410.67.16.74.66.19.110.410.67.16.75.86.19.110.410.67.16.75.76.19.19.510.67.16.75.769.19.510.37.16.75.869.19.510.37.16.75.869.19.510.47.16.75.869.19.510.47.16.95.869.19.510.57.16.95.869.19.510.57.16.95.869.19.510.57.26.95.969.19.510.57.26.95.969.1
379제주 제주 효용비율98.4100.067.163.443.357.685.798.2100.06763.355.257.585.698.2100.06763.35457.585.690.1100.06763.65456.685.692.4100.069.265.155.95887.792.4100.069.265.155.95887.791.7100.068.764.755.657.687.191.74100.068.766.755.657.687.191.1100.068.266.255.157.286.590.92100.068.16655.257.186.390.92100.068.76656.457.186.390.92100.068.76656.457.186.3