Overview

Dataset statistics

Number of variables25
Number of observations878
Missing cells9273
Missing cells (%)42.2%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory181.9 KiB
Average record size in memory212.2 B

Variable types

Numeric6
DateTime2
Text11
Categorical6

Dataset

Description경상남도 함안군에서 인터넷을 통해 접수된 대형폐기물(가전제품, 가구류, 침구류 등)접수내역에 관한 데이터입니다.
Author경상남도 함안군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15093768

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates
물품5개수 is highly imbalanced (85.4%)Imbalance
물품6개수 is highly imbalanced (90.2%)Imbalance
물품7개수 is highly imbalanced (92.4%)Imbalance
물품8개수 is highly imbalanced (92.2%)Imbalance
물품9개수 is highly imbalanced (94.9%)Imbalance
물품10개수 is highly imbalanced (96.1%)Imbalance
물품1(규격) has 14 (1.6%) missing valuesMissing
물품1개수 has 14 (1.6%) missing valuesMissing
물품2(규격) has 541 (61.6%) missing valuesMissing
물품2개수 has 541 (61.6%) missing valuesMissing
물품3(규격) has 716 (81.5%) missing valuesMissing
물품3개수 has 716 (81.5%) missing valuesMissing
물품4(규격) has 789 (89.9%) missing valuesMissing
물품4개수 has 789 (89.9%) missing valuesMissing
물품5(규격) has 831 (94.6%) missing valuesMissing
물품6(규격) has 851 (96.9%) missing valuesMissing
물품7(규격) has 859 (97.8%) missing valuesMissing
물품8(규격) has 865 (98.5%) missing valuesMissing
물품9(규격) has 866 (98.6%) missing valuesMissing
물품10(규격) has 871 (99.2%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:31:19.821937
Analysis finished2023-12-10 23:31:20.639160
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct876
Distinct (%)100.0%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean438.5
Minimum1
Maximum876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2023-12-11T08:31:20.725930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile44.75
Q1219.75
median438.5
Q3657.25
95-th percentile832.25
Maximum876
Range875
Interquartile range (IQR)437.5

Descriptive statistics

Standard deviation253.02371
Coefficient of variation (CV)0.57702101
Kurtosis-1.2
Mean438.5
Median Absolute Deviation (MAD)219
Skewness0
Sum384126
Variance64021
MonotonicityStrictly increasing
2023-12-11T08:31:20.926410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
590 1
 
0.1%
579 1
 
0.1%
580 1
 
0.1%
581 1
 
0.1%
582 1
 
0.1%
583 1
 
0.1%
584 1
 
0.1%
585 1
 
0.1%
586 1
 
0.1%
587 1
 
0.1%
Other values (866) 866
98.6%
(Missing) 2
 
0.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
876 1
0.1%
875 1
0.1%
874 1
0.1%
873 1
0.1%
872 1
0.1%
871 1
0.1%
870 1
0.1%
869 1
0.1%
868 1
0.1%
867 1
0.1%

신고일
Date

Distinct876
Distinct (%)100.0%
Missing2
Missing (%)0.2%
Memory size7.0 KiB
Minimum2022-12-29 10:32:38
Maximum2023-11-24 13:03:16
2023-12-11T08:31:21.116704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:31:21.288368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

배출일
Date

Distinct293
Distinct (%)33.4%
Missing2
Missing (%)0.2%
Memory size7.0 KiB
Minimum2023-01-01 00:00:00
Maximum2023-11-27 00:00:00
2023-12-11T08:31:21.445010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:31:21.634716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

물품개수
Real number (ℝ)

Distinct25
Distinct (%)2.9%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2.6392694
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2023-12-11T08:31:21.813584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile9
Maximum33
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.4568374
Coefficient of variation (CV)1.3097706
Kurtosis21.887117
Mean2.6392694
Median Absolute Deviation (MAD)0
Skewness4.1513419
Sum2312
Variance11.949725
MonotonicityNot monotonic
2023-12-11T08:31:21.973260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 452
51.5%
2 180
 
20.5%
3 86
 
9.8%
4 59
 
6.7%
5 26
 
3.0%
7 10
 
1.1%
9 9
 
1.0%
6 8
 
0.9%
10 6
 
0.7%
8 6
 
0.7%
Other values (15) 34
 
3.9%
ValueCountFrequency (%)
1 452
51.5%
2 180
 
20.5%
3 86
 
9.8%
4 59
 
6.7%
5 26
 
3.0%
6 8
 
0.9%
7 10
 
1.1%
8 6
 
0.7%
9 9
 
1.0%
10 6
 
0.7%
ValueCountFrequency (%)
33 1
 
0.1%
30 1
 
0.1%
26 1
 
0.1%
24 1
 
0.1%
23 1
 
0.1%
22 1
 
0.1%
20 2
0.2%
19 2
0.2%
18 4
0.5%
16 1
 
0.1%

수수료
Text

Distinct59
Distinct (%)6.7%
Missing2
Missing (%)0.2%
Memory size7.0 KiB
2023-12-11T08:31:22.181054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters15768
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)2.4%

Sample

1st row 2,000 원
2nd row 3,000 원
3rd row 7,000 원
4th row 10,000 원
5th row 10,000 원
ValueCountFrequency (%)
원 876
50.0%
2,000 170
 
9.7%
5,000 112
 
6.4%
4,000 101
 
5.8%
3,000 91
 
5.2%
8,000 49
 
2.8%
7,000 49
 
2.8%
10,000 42
 
2.4%
6,000 40
 
2.3%
15,000 29
 
1.7%
Other values (50) 193
 
11.0%
2023-12-11T08:31:22.515586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10264
65.1%
0 2694
 
17.1%
, 876
 
5.6%
원 876
 
5.6%
2 235
 
1.5%
1 191
 
1.2%
5 150
 
1.0%
4 139
 
0.9%
3 133
 
0.8%
7 66
 
0.4%
Other values (3) 144
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Space Separator 10264
65.1%
Decimal Number 3752
 
23.8%
Other Punctuation 876
 
5.6%
Other Letter 876
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2694
71.8%
2 235
 
6.3%
1 191
 
5.1%
5 150
 
4.0%
4 139
 
3.7%
3 133
 
3.5%
7 66
 
1.8%
8 65
 
1.7%
6 51
 
1.4%
9 28
 
0.7%
Space Separator
ValueCountFrequency (%)
10264
100.0%
Other Punctuation
ValueCountFrequency (%)
, 876
100.0%
Other Letter
ValueCountFrequency (%)
원 876
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14892
94.4%
Hangul 876
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
10264
68.9%
0 2694
 
18.1%
, 876
 
5.9%
2 235
 
1.6%
1 191
 
1.3%
5 150
 
1.0%
4 139
 
0.9%
3 133
 
0.9%
7 66
 
0.4%
8 65
 
0.4%
Other values (2) 79
 
0.5%
Hangul
ValueCountFrequency (%)
원 876
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14892
94.4%
Hangul 876
 
5.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10264
68.9%
0 2694
 
18.1%
, 876
 
5.9%
2 235
 
1.6%
1 191
 
1.3%
5 150
 
1.0%
4 139
 
0.9%
3 133
 
0.9%
7 66
 
0.4%
8 65
 
0.4%
Other values (2) 79
 
0.5%
Hangul
ValueCountFrequency (%)
원 876
100.0%

물품1(규격)
Text

MISSING 

Distinct81
Distinct (%)9.4%
Missing14
Missing (%)1.6%
Memory size7.0 KiB
2023-12-11T08:31:22.746216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length11.239583
Min length6

Characters and Unicode

Total characters9711
Distinct characters149
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.4%

Sample

1st row의자(일반의자(1인용))
2nd row상(가로,세로 1m이상)
3rd row응접세트(쇼파)(3인용 이상)
4th row서랍장(5단 미만)
5th row판유리(1제곱미터당)
ValueCountFrequency (%)
규격 255
 
18.6%
서랍장(5단 78
 
5.7%
미만 69
 
5.0%
의자(일반의자(1인용 65
 
4.8%
이상 64
 
4.7%
매트리스(1인용 43
 
3.1%
상(가로,세로 39
 
2.9%
매트리스(2인용 36
 
2.6%
응접세트(쇼파)(3인용 34
 
2.5%
책장(모든규격 34
 
2.5%
Other values (77) 651
47.6%
2023-12-11T08:31:23.096155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1091
 
11.2%
) 1091
 
11.2%
504
 
5.2%
모 360
 
3.7%
격 325
 
3.3%
든 325
 
3.3%
규 325
 
3.3%
인 292
 
3.0%
용 266
 
2.7%
장 259
 
2.7%
Other values (139) 4873
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6084
62.7%
Open Punctuation 1091
 
11.2%
Close Punctuation 1091
 
11.2%
Decimal Number 642
 
6.6%
Space Separator 504
 
5.2%
Lowercase Letter 141
 
1.5%
Other Punctuation 81
 
0.8%
Math Symbol 39
 
0.4%
Uppercase Letter 26
 
0.3%
Other Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 360
 
5.9%
격 325
 
5.3%
든 325
 
5.3%
규 325
 
5.3%
인 292
 
4.8%
용 266
 
4.4%
장 259
 
4.3%
트 203
 
3.3%
상 175
 
2.9%
자 170
 
2.8%
Other values (114) 3384
55.6%
Decimal Number
ValueCountFrequency (%)
1 252
39.3%
2 89
 
13.9%
5 88
 
13.7%
0 83
 
12.9%
3 57
 
8.9%
9 31
 
4.8%
6 25
 
3.9%
4 15
 
2.3%
8 2
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
m 83
58.9%
c 41
29.1%
ℓ 13
 
9.2%
g 2
 
1.4%
k 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 72
88.9%
. 9
 
11.1%
Math Symbol
ValueCountFrequency (%)
+ 30
76.9%
~ 9
 
23.1%
Uppercase Letter
ValueCountFrequency (%)
V 13
50.0%
T 13
50.0%
Other Symbol
ValueCountFrequency (%)
㎡ 6
50.0%
㎏ 6
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1091
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1091
100.0%
Space Separator
ValueCountFrequency (%)
504
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6084
62.7%
Common 3473
35.8%
Latin 154
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 360
 
5.9%
격 325
 
5.3%
든 325
 
5.3%
규 325
 
5.3%
인 292
 
4.8%
용 266
 
4.4%
장 259
 
4.3%
트 203
 
3.3%
상 175
 
2.9%
자 170
 
2.8%
Other values (114) 3384
55.6%
Common
ValueCountFrequency (%)
( 1091
31.4%
) 1091
31.4%
504
14.5%
1 252
 
7.3%
2 89
 
2.6%
5 88
 
2.5%
0 83
 
2.4%
, 72
 
2.1%
3 57
 
1.6%
9 31
 
0.9%
Other values (9) 115
 
3.3%
Latin
ValueCountFrequency (%)
m 83
53.9%
c 41
26.6%
V 13
 
8.4%
T 13
 
8.4%
g 2
 
1.3%
k 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6084
62.7%
ASCII 3602
37.1%
Letterlike Symbols 13
 
0.1%
CJK Compat 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1091
30.3%
) 1091
30.3%
504
14.0%
1 252
 
7.0%
2 89
 
2.5%
5 88
 
2.4%
0 83
 
2.3%
m 83
 
2.3%
, 72
 
2.0%
3 57
 
1.6%
Other values (12) 192
 
5.3%
Hangul
ValueCountFrequency (%)
모 360
 
5.9%
격 325
 
5.3%
든 325
 
5.3%
규 325
 
5.3%
인 292
 
4.8%
용 266
 
4.4%
장 259
 
4.3%
트 203
 
3.3%
상 175
 
2.9%
자 170
 
2.8%
Other values (114) 3384
55.6%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 13
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 6
50.0%
㎏ 6
50.0%

물품1개수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)1.0%
Missing14
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1.4155093
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2023-12-11T08:31:23.219770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2916669
Coefficient of variation (CV)0.9125104
Kurtosis25.082815
Mean1.4155093
Median Absolute Deviation (MAD)0
Skewness4.7320561
Sum1223
Variance1.6684034
MonotonicityNot monotonic
2023-12-11T08:31:23.335013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 705
80.3%
2 92
 
10.5%
3 29
 
3.3%
4 15
 
1.7%
10 9
 
1.0%
8 5
 
0.6%
5 4
 
0.5%
7 4
 
0.5%
9 1
 
0.1%
(Missing) 14
 
1.6%
ValueCountFrequency (%)
1 705
80.3%
2 92
 
10.5%
3 29
 
3.3%
4 15
 
1.7%
5 4
 
0.5%
7 4
 
0.5%
8 5
 
0.6%
9 1
 
0.1%
10 9
 
1.0%
ValueCountFrequency (%)
10 9
 
1.0%
9 1
 
0.1%
8 5
 
0.6%
7 4
 
0.5%
5 4
 
0.5%
4 15
 
1.7%
3 29
 
3.3%
2 92
 
10.5%
1 705
80.3%

물품2(규격)
Text

MISSING 

Distinct72
Distinct (%)21.4%
Missing541
Missing (%)61.6%
Memory size7.0 KiB
2023-12-11T08:31:23.541568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length11.109792
Min length6

Characters and Unicode

Total characters3744
Distinct characters138
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)5.0%

Sample

1st row매트리스(2인용)
2nd row서랍장(5단 미만)
3rd row책장(모든규격)
4th row문갑(모든규격)
5th row청소기(모든 규격)
ValueCountFrequency (%)
규격 114
21.4%
의자(일반의자(1인용 35
 
6.6%
미만 31
 
5.8%
서랍장(5단 29
 
5.4%
상(가로,세로 18
 
3.4%
책장(모든규격 15
 
2.8%
1m미만 12
 
2.3%
선풍기(모든 12
 
2.3%
대형가방(모든 11
 
2.1%
일반의자(1인용)(모든 10
 
1.9%
Other values (70) 246
46.2%
2023-12-11T08:31:23.892205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 424
 
11.3%
) 424
 
11.3%
196
 
5.2%
모 166
 
4.4%
격 151
 
4.0%
규 151
 
4.0%
든 151
 
4.0%
1 101
 
2.7%
인 94
 
2.5%
자 93
 
2.5%
Other values (128) 1793
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2398
64.0%
Open Punctuation 424
 
11.3%
Close Punctuation 424
 
11.3%
Decimal Number 197
 
5.3%
Space Separator 196
 
5.2%
Lowercase Letter 41
 
1.1%
Other Punctuation 34
 
0.9%
Uppercase Letter 18
 
0.5%
Math Symbol 8
 
0.2%
Other Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 166
 
6.9%
격 151
 
6.3%
규 151
 
6.3%
든 151
 
6.3%
인 94
 
3.9%
자 93
 
3.9%
의 88
 
3.7%
장 87
 
3.6%
용 84
 
3.5%
미 61
 
2.5%
Other values (107) 1272
53.0%
Decimal Number
ValueCountFrequency (%)
1 101
51.3%
5 29
 
14.7%
2 18
 
9.1%
0 14
 
7.1%
3 14
 
7.1%
6 11
 
5.6%
9 7
 
3.6%
4 3
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
m 29
70.7%
c 10
 
24.4%
ℓ 2
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 31
91.2%
. 3
 
8.8%
Uppercase Letter
ValueCountFrequency (%)
T 9
50.0%
V 9
50.0%
Other Symbol
ValueCountFrequency (%)
㎡ 3
75.0%
㎏ 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 424
100.0%
Close Punctuation
ValueCountFrequency (%)
) 424
100.0%
Space Separator
ValueCountFrequency (%)
196
100.0%
Math Symbol
ValueCountFrequency (%)
+ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2398
64.0%
Common 1289
34.4%
Latin 57
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 166
 
6.9%
격 151
 
6.3%
규 151
 
6.3%
든 151
 
6.3%
인 94
 
3.9%
자 93
 
3.9%
의 88
 
3.7%
장 87
 
3.6%
용 84
 
3.5%
미 61
 
2.5%
Other values (107) 1272
53.0%
Common
ValueCountFrequency (%)
( 424
32.9%
) 424
32.9%
196
15.2%
1 101
 
7.8%
, 31
 
2.4%
5 29
 
2.2%
2 18
 
1.4%
0 14
 
1.1%
3 14
 
1.1%
6 11
 
0.9%
Other values (7) 27
 
2.1%
Latin
ValueCountFrequency (%)
m 29
50.9%
c 10
 
17.5%
T 9
 
15.8%
V 9
 
15.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2398
64.0%
ASCII 1340
35.8%
CJK Compat 4
 
0.1%
Letterlike Symbols 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 424
31.6%
) 424
31.6%
196
14.6%
1 101
 
7.5%
, 31
 
2.3%
5 29
 
2.2%
m 29
 
2.2%
2 18
 
1.3%
0 14
 
1.0%
3 14
 
1.0%
Other values (8) 60
 
4.5%
Hangul
ValueCountFrequency (%)
모 166
 
6.9%
격 151
 
6.3%
규 151
 
6.3%
든 151
 
6.3%
인 94
 
3.9%
자 93
 
3.9%
의 88
 
3.7%
장 87
 
3.6%
용 84
 
3.5%
미 61
 
2.5%
Other values (107) 1272
53.0%
CJK Compat
ValueCountFrequency (%)
㎡ 3
75.0%
㎏ 1
 
25.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 2
100.0%

물품2개수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)3.0%
Missing541
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean1.4807122
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2023-12-11T08:31:24.020387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4476218
Coefficient of variation (CV)0.97765243
Kurtosis18.096886
Mean1.4807122
Median Absolute Deviation (MAD)0
Skewness4.1007572
Sum499
Variance2.095609
MonotonicityNot monotonic
2023-12-11T08:31:24.130786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 275
31.3%
2 34
 
3.9%
3 7
 
0.8%
4 6
 
0.7%
6 5
 
0.6%
10 4
 
0.5%
5 2
 
0.2%
7 2
 
0.2%
9 1
 
0.1%
8 1
 
0.1%
(Missing) 541
61.6%
ValueCountFrequency (%)
1 275
31.3%
2 34
 
3.9%
3 7
 
0.8%
4 6
 
0.7%
5 2
 
0.2%
6 5
 
0.6%
7 2
 
0.2%
8 1
 
0.1%
9 1
 
0.1%
10 4
 
0.5%
ValueCountFrequency (%)
10 4
 
0.5%
9 1
 
0.1%
8 1
 
0.1%
7 2
 
0.2%
6 5
 
0.6%
5 2
 
0.2%
4 6
 
0.7%
3 7
 
0.8%
2 34
 
3.9%
1 275
31.3%

물품3(규격)
Text

MISSING 

Distinct56
Distinct (%)34.6%
Missing716
Missing (%)81.5%
Memory size7.0 KiB
2023-12-11T08:31:24.317479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length11.012346
Min length6

Characters and Unicode

Total characters1784
Distinct characters127
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)13.6%

Sample

1st rowTV진열대(모든 규격)
2nd row의자(안마의자(1인용))
3rd row의자(일반의자(1인용))
4th row책장(모든규격)
5th row식탁(6인미만)
ValueCountFrequency (%)
규격 57
21.6%
의자(일반의자(1인용 15
 
5.7%
미만 13
 
4.9%
상(가로,세로 10
 
3.8%
책장(모든규격 10
 
3.8%
대형가방(모든 7
 
2.7%
책상(판수 7
 
2.7%
소형 7
 
2.7%
tv진열대(모든 7
 
2.7%
서랍장(5단 7
 
2.7%
Other values (55) 124
47.0%
2023-12-11T08:31:24.616701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 196
 
11.0%
) 196
 
11.0%
102
 
5.7%
모 79
 
4.4%
든 77
 
4.3%
격 77
 
4.3%
규 77
 
4.3%
1 45
 
2.5%
자 40
 
2.2%
의 39
 
2.2%
Other values (117) 856
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1142
64.0%
Open Punctuation 196
 
11.0%
Close Punctuation 196
 
11.0%
Space Separator 102
 
5.7%
Decimal Number 80
 
4.5%
Lowercase Letter 25
 
1.4%
Other Punctuation 24
 
1.3%
Uppercase Letter 14
 
0.8%
Math Symbol 3
 
0.2%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 79
 
6.9%
든 77
 
6.7%
격 77
 
6.7%
규 77
 
6.7%
자 40
 
3.5%
의 39
 
3.4%
인 37
 
3.2%
장 36
 
3.2%
상 32
 
2.8%
용 30
 
2.6%
Other values (95) 618
54.1%
Decimal Number
ValueCountFrequency (%)
1 45
56.2%
5 7
 
8.8%
6 6
 
7.5%
9 5
 
6.2%
0 5
 
6.2%
4 5
 
6.2%
3 3
 
3.8%
2 3
 
3.8%
8 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
m 18
72.0%
c 5
 
20.0%
g 1
 
4.0%
k 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 22
91.7%
. 2
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
T 7
50.0%
V 7
50.0%
Open Punctuation
ValueCountFrequency (%)
( 196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 196
100.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎏ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1142
64.0%
Common 603
33.8%
Latin 39
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 79
 
6.9%
든 77
 
6.7%
격 77
 
6.7%
규 77
 
6.7%
자 40
 
3.5%
의 39
 
3.4%
인 37
 
3.2%
장 36
 
3.2%
상 32
 
2.8%
용 30
 
2.6%
Other values (95) 618
54.1%
Common
ValueCountFrequency (%)
( 196
32.5%
) 196
32.5%
102
16.9%
1 45
 
7.5%
, 22
 
3.6%
5 7
 
1.2%
6 6
 
1.0%
9 5
 
0.8%
0 5
 
0.8%
4 5
 
0.8%
Other values (6) 14
 
2.3%
Latin
ValueCountFrequency (%)
m 18
46.2%
T 7
 
17.9%
V 7
 
17.9%
c 5
 
12.8%
g 1
 
2.6%
k 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1142
64.0%
ASCII 640
35.9%
CJK Compat 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 196
30.6%
) 196
30.6%
102
15.9%
1 45
 
7.0%
, 22
 
3.4%
m 18
 
2.8%
5 7
 
1.1%
T 7
 
1.1%
V 7
 
1.1%
6 6
 
0.9%
Other values (11) 34
 
5.3%
Hangul
ValueCountFrequency (%)
모 79
 
6.9%
든 77
 
6.7%
격 77
 
6.7%
규 77
 
6.7%
자 40
 
3.5%
의 39
 
3.4%
인 37
 
3.2%
장 36
 
3.2%
상 32
 
2.8%
용 30
 
2.6%
Other values (95) 618
54.1%
CJK Compat
ValueCountFrequency (%)
㎏ 2
100.0%

물품3개수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)4.3%
Missing716
Missing (%)81.5%
Infinite0
Infinite (%)0.0%
Mean1.4814815
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2023-12-11T08:31:24.723492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.95
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3384993
Coefficient of variation (CV)0.90348703
Kurtosis20.957737
Mean1.4814815
Median Absolute Deviation (MAD)0
Skewness4.1940929
Sum240
Variance1.7915804
MonotonicityNot monotonic
2023-12-11T08:31:24.809560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 129
 
14.7%
2 16
 
1.8%
3 8
 
0.9%
5 3
 
0.3%
4 2
 
0.2%
10 2
 
0.2%
6 2
 
0.2%
(Missing) 716
81.5%
ValueCountFrequency (%)
1 129
14.7%
2 16
 
1.8%
3 8
 
0.9%
4 2
 
0.2%
5 3
 
0.3%
6 2
 
0.2%
10 2
 
0.2%
ValueCountFrequency (%)
10 2
 
0.2%
6 2
 
0.2%
5 3
 
0.3%
4 2
 
0.2%
3 8
 
0.9%
2 16
 
1.8%
1 129
14.7%

물품4(규격)
Text

MISSING 

Distinct45
Distinct (%)50.6%
Missing789
Missing (%)89.9%
Memory size7.0 KiB
2023-12-11T08:31:24.979133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length11.224719
Min length7

Characters and Unicode

Total characters999
Distinct characters112
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)29.2%

Sample

1st row옷걸이(모든 규격)
2nd row서랍장(5단 미만)
3rd row의자(안마의자(1인용))
4th row제습기(모든 규격)
5th row선풍기(모든 규격)
ValueCountFrequency (%)
규격 32
21.2%
미만 9
 
6.0%
상(가로,세로 8
 
5.3%
서랍장(5단 8
 
5.3%
청소기(모든 7
 
4.6%
1m미만 7
 
4.6%
의자(일반의자(1인용 6
 
4.0%
이상 5
 
3.3%
식탁(6인미만 5
 
3.3%
카페트(모든 3
 
2.0%
Other values (41) 61
40.4%
2023-12-11T08:31:25.269344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 110
 
11.0%
) 110
 
11.0%
62
 
6.2%
모 36
 
3.6%
든 35
 
3.5%
규 35
 
3.5%
격 35
 
3.5%
1 27
 
2.7%
인 25
 
2.5%
미 22
 
2.2%
Other values (102) 502
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 614
61.5%
Open Punctuation 110
 
11.0%
Close Punctuation 110
 
11.0%
Decimal Number 63
 
6.3%
Space Separator 62
 
6.2%
Lowercase Letter 15
 
1.5%
Other Punctuation 14
 
1.4%
Other Symbol 4
 
0.4%
Uppercase Letter 4
 
0.4%
Math Symbol 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 36
 
5.9%
든 35
 
5.7%
규 35
 
5.7%
격 35
 
5.7%
인 25
 
4.1%
미 22
 
3.6%
장 22
 
3.6%
만 22
 
3.6%
용 20
 
3.3%
상 18
 
2.9%
Other values (80) 344
56.0%
Decimal Number
ValueCountFrequency (%)
1 27
42.9%
6 10
 
15.9%
5 8
 
12.7%
3 6
 
9.5%
2 5
 
7.9%
0 4
 
6.3%
9 2
 
3.2%
4 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
m 12
80.0%
c 2
 
13.3%
ℓ 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 12
85.7%
. 2
 
14.3%
Other Symbol
ValueCountFrequency (%)
㎡ 3
75.0%
㎏ 1
 
25.0%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
V 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 614
61.5%
Common 367
36.7%
Latin 18
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 36
 
5.9%
든 35
 
5.7%
규 35
 
5.7%
격 35
 
5.7%
인 25
 
4.1%
미 22
 
3.6%
장 22
 
3.6%
만 22
 
3.6%
용 20
 
3.3%
상 18
 
2.9%
Other values (80) 344
56.0%
Common
ValueCountFrequency (%)
( 110
30.0%
) 110
30.0%
62
16.9%
1 27
 
7.4%
, 12
 
3.3%
6 10
 
2.7%
5 8
 
2.2%
3 6
 
1.6%
2 5
 
1.4%
0 4
 
1.1%
Other values (8) 13
 
3.5%
Latin
ValueCountFrequency (%)
m 12
66.7%
T 2
 
11.1%
V 2
 
11.1%
c 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 614
61.5%
ASCII 380
38.0%
CJK Compat 4
 
0.4%
Letterlike Symbols 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 110
28.9%
) 110
28.9%
62
16.3%
1 27
 
7.1%
, 12
 
3.2%
m 12
 
3.2%
6 10
 
2.6%
5 8
 
2.1%
3 6
 
1.6%
2 5
 
1.3%
Other values (9) 18
 
4.7%
Hangul
ValueCountFrequency (%)
모 36
 
5.9%
든 35
 
5.7%
규 35
 
5.7%
격 35
 
5.7%
인 25
 
4.1%
미 22
 
3.6%
장 22
 
3.6%
만 22
 
3.6%
용 20
 
3.3%
상 18
 
2.9%
Other values (80) 344
56.0%
CJK Compat
ValueCountFrequency (%)
㎡ 3
75.0%
㎏ 1
 
25.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 1
100.0%

물품4개수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)7.9%
Missing789
Missing (%)89.9%
Infinite0
Infinite (%)0.0%
Mean1.6629213
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2023-12-11T08:31:25.382761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6647674
Coefficient of variation (CV)1.0011101
Kurtosis8.6301073
Mean1.6629213
Median Absolute Deviation (MAD)0
Skewness2.8976042
Sum148
Variance2.7714505
MonotonicityNot monotonic
2023-12-11T08:31:25.471152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 71
 
8.1%
2 7
 
0.8%
6 4
 
0.5%
4 3
 
0.3%
5 2
 
0.2%
7 1
 
0.1%
10 1
 
0.1%
(Missing) 789
89.9%
ValueCountFrequency (%)
1 71
8.1%
2 7
 
0.8%
4 3
 
0.3%
5 2
 
0.2%
6 4
 
0.5%
7 1
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
7 1
 
0.1%
6 4
 
0.5%
5 2
 
0.2%
4 3
 
0.3%
2 7
 
0.8%
1 71
8.1%

물품5(규격)
Text

MISSING 

Distinct27
Distinct (%)57.4%
Missing831
Missing (%)94.6%
Memory size7.0 KiB
2023-12-11T08:31:25.634039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length11.12766
Min length6

Characters and Unicode

Total characters523
Distinct characters94
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)34.0%

Sample

1st row판유리(1제곱미터당)
2nd row응접세트(쇼파)(1인용)
3rd row상(가로,세로 1m미만)
4th row컴퓨터(본체)
5th row폐소화기(3.4㎏ 미만)
ValueCountFrequency (%)
규격 15
21.1%
판유리(1제곱미터당 4
 
5.6%
상(가로,세로 4
 
5.6%
1m미만 4
 
5.6%
책장(모든규격 4
 
5.6%
미만 3
 
4.2%
의자(일반의자(1인용 3
 
4.2%
거울(모든 3
 
4.2%
tv진열대(모든 3
 
4.2%
전지밥솥(모든 2
 
2.8%
Other values (22) 26
36.6%
2023-12-11T08:31:25.952849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 58
 
11.1%
( 58
 
11.1%
24
 
4.6%
모 23
 
4.4%
든 22
 
4.2%
격 22
 
4.2%
규 22
 
4.2%
1 15
 
2.9%
미 12
 
2.3%
로 9
 
1.7%
Other values (84) 258
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 334
63.9%
Close Punctuation 58
 
11.1%
Open Punctuation 58
 
11.1%
Decimal Number 25
 
4.8%
Space Separator 24
 
4.6%
Other Punctuation 7
 
1.3%
Lowercase Letter 6
 
1.1%
Uppercase Letter 6
 
1.1%
Math Symbol 3
 
0.6%
Other Symbol 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 23
 
6.9%
든 22
 
6.6%
격 22
 
6.6%
규 22
 
6.6%
미 12
 
3.6%
로 9
 
2.7%
용 9
 
2.7%
인 9
 
2.7%
리 8
 
2.4%
트 8
 
2.4%
Other values (65) 190
56.9%
Decimal Number
ValueCountFrequency (%)
1 15
60.0%
3 3
 
12.0%
5 2
 
8.0%
2 2
 
8.0%
0 1
 
4.0%
9 1
 
4.0%
4 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
m 5
83.3%
c 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
. 2
 
28.6%
Uppercase Letter
ValueCountFrequency (%)
V 3
50.0%
T 3
50.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
50.0%
㎏ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
63.9%
Common 177
33.8%
Latin 12
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 23
 
6.9%
든 22
 
6.6%
격 22
 
6.6%
규 22
 
6.6%
미 12
 
3.6%
로 9
 
2.7%
용 9
 
2.7%
인 9
 
2.7%
리 8
 
2.4%
트 8
 
2.4%
Other values (65) 190
56.9%
Common
ValueCountFrequency (%)
) 58
32.8%
( 58
32.8%
24
13.6%
1 15
 
8.5%
, 5
 
2.8%
3 3
 
1.7%
+ 3
 
1.7%
5 2
 
1.1%
. 2
 
1.1%
2 2
 
1.1%
Other values (5) 5
 
2.8%
Latin
ValueCountFrequency (%)
m 5
41.7%
V 3
25.0%
T 3
25.0%
c 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 334
63.9%
ASCII 187
35.8%
CJK Compat 2
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 58
31.0%
( 58
31.0%
24
12.8%
1 15
 
8.0%
m 5
 
2.7%
, 5
 
2.7%
3 3
 
1.6%
V 3
 
1.6%
T 3
 
1.6%
+ 3
 
1.6%
Other values (7) 10
 
5.3%
Hangul
ValueCountFrequency (%)
모 23
 
6.9%
든 22
 
6.6%
격 22
 
6.6%
규 22
 
6.6%
미 12
 
3.6%
로 9
 
2.7%
용 9
 
2.7%
인 9
 
2.7%
리 8
 
2.4%
트 8
 
2.4%
Other values (65) 190
56.9%
CJK Compat
ValueCountFrequency (%)
㎡ 1
50.0%
㎏ 1
50.0%

물품5개수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
831 
1
 
33
2
 
7
4
 
3
3
 
2

Length

Max length4
Median length4
Mean length3.8394077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 831
94.6%
1 33
 
3.8%
2 7
 
0.8%
4 3
 
0.3%
3 2
 
0.2%
5 2
 
0.2%

Length

2023-12-11T08:31:26.075315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:26.174031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 831
94.6%
1 33
 
3.8%
2 7
 
0.8%
4 3
 
0.3%
3 2
 
0.2%
5 2
 
0.2%

물품6(규격)
Text

MISSING 

Distinct19
Distinct (%)70.4%
Missing851
Missing (%)96.9%
Memory size7.0 KiB
2023-12-11T08:31:26.328966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length11.259259
Min length6

Characters and Unicode

Total characters304
Distinct characters76
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)48.1%

Sample

1st row전지밥솥(모든 규격)
2nd row에어컨(66~262㎡)
3rd row상(가로,세로 1m이상)
4th row프린트기(모든 규격)
5th row문짝(개당)
ValueCountFrequency (%)
규격 13
27.7%
화장대(모든 4
 
8.5%
상(가로,세로 3
 
6.4%
의자(일반의자(1인용 2
 
4.3%
1m이상 2
 
4.3%
문짝(개당 2
 
4.3%
tv진열대(모든 2
 
4.3%
식탁(6인미만 2
 
4.3%
미만 2
 
4.3%
카세트(모든 1
 
2.1%
Other values (14) 14
29.8%
2023-12-11T08:31:26.666055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 33
 
10.9%
) 33
 
10.9%
20
 
6.6%
모 13
 
4.3%
든 13
 
4.3%
규 13
 
4.3%
격 13
 
4.3%
대 9
 
3.0%
로 6
 
2.0%
1 6
 
2.0%
Other values (66) 145
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
61.8%
Open Punctuation 33
 
10.9%
Close Punctuation 33
 
10.9%
Space Separator 20
 
6.6%
Decimal Number 16
 
5.3%
Lowercase Letter 4
 
1.3%
Uppercase Letter 4
 
1.3%
Other Punctuation 3
 
1.0%
Math Symbol 2
 
0.7%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 13
 
6.9%
든 13
 
6.9%
규 13
 
6.9%
격 13
 
6.9%
대 9
 
4.8%
로 6
 
3.2%
세 6
 
3.2%
상 6
 
3.2%
인 6
 
3.2%
장 6
 
3.2%
Other values (51) 97
51.6%
Decimal Number
ValueCountFrequency (%)
1 6
37.5%
6 5
31.2%
2 3
18.8%
5 1
 
6.2%
3 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
V 2
50.0%
T 2
50.0%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
61.8%
Common 108
35.5%
Latin 8
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 13
 
6.9%
든 13
 
6.9%
규 13
 
6.9%
격 13
 
6.9%
대 9
 
4.8%
로 6
 
3.2%
세 6
 
3.2%
상 6
 
3.2%
인 6
 
3.2%
장 6
 
3.2%
Other values (51) 97
51.6%
Common
ValueCountFrequency (%)
( 33
30.6%
) 33
30.6%
20
18.5%
1 6
 
5.6%
6 5
 
4.6%
, 3
 
2.8%
2 3
 
2.8%
5 1
 
0.9%
3 1
 
0.9%
~ 1
 
0.9%
Other values (2) 2
 
1.9%
Latin
ValueCountFrequency (%)
m 4
50.0%
V 2
25.0%
T 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
61.8%
ASCII 115
37.8%
CJK Compat 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 33
28.7%
) 33
28.7%
20
17.4%
1 6
 
5.2%
6 5
 
4.3%
m 4
 
3.5%
, 3
 
2.6%
2 3
 
2.6%
V 2
 
1.7%
T 2
 
1.7%
Other values (4) 4
 
3.5%
Hangul
ValueCountFrequency (%)
모 13
 
6.9%
든 13
 
6.9%
규 13
 
6.9%
격 13
 
6.9%
대 9
 
4.8%
로 6
 
3.2%
세 6
 
3.2%
상 6
 
3.2%
인 6
 
3.2%
장 6
 
3.2%
Other values (51) 97
51.6%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

물품6개수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
851 
1
 
22
2
 
3
3
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.9077449
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 851
96.9%
1 22
 
2.5%
2 3
 
0.3%
3 1
 
0.1%
4 1
 
0.1%

Length

2023-12-11T08:31:26.788837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:26.901791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 851
96.9%
1 22
 
2.5%
2 3
 
0.3%
3 1
 
0.1%
4 1
 
0.1%

물품7(규격)
Text

MISSING 

Distinct15
Distinct (%)78.9%
Missing859
Missing (%)97.8%
Memory size7.0 KiB
2023-12-11T08:31:27.061751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length10.736842
Min length6

Characters and Unicode

Total characters204
Distinct characters63
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)63.2%

Sample

1st rowTV진열대(모든 규격)
2nd row응접세트(의자)
3rd row유모차(모든 규격)
4th row식탁(6인미만)
5th row선풍기(모든 규격)
ValueCountFrequency (%)
규격 6
21.4%
의자(일반의자(1인용 3
 
10.7%
서랍장(5단 2
 
7.1%
미만 2
 
7.1%
식탁(6인미만 2
 
7.1%
상(가로,세로 1
 
3.6%
옷걸이(모든 1
 
3.6%
응접세트(쇼파)(1인용 1
 
3.6%
전기난로(모든 1
 
3.6%
문짝(개당 1
 
3.6%
Other values (8) 8
28.6%
2023-12-11T08:31:27.355674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 25
 
12.3%
( 25
 
12.3%
9
 
4.4%
모 8
 
3.9%
든 7
 
3.4%
규 7
 
3.4%
격 7
 
3.4%
자 7
 
3.4%
의 7
 
3.4%
인 7
 
3.4%
Other values (53) 95
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130
63.7%
Close Punctuation 25
 
12.3%
Open Punctuation 25
 
12.3%
Decimal Number 10
 
4.9%
Space Separator 9
 
4.4%
Uppercase Letter 2
 
1.0%
Math Symbol 1
 
0.5%
Lowercase Letter 1
 
0.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 8
 
6.2%
든 7
 
5.4%
규 7
 
5.4%
격 7
 
5.4%
자 7
 
5.4%
의 7
 
5.4%
인 7
 
5.4%
용 5
 
3.8%
미 5
 
3.8%
만 5
 
3.8%
Other values (42) 65
50.0%
Decimal Number
ValueCountFrequency (%)
1 6
60.0%
6 2
 
20.0%
5 2
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
V 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130
63.7%
Common 71
34.8%
Latin 3
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 8
 
6.2%
든 7
 
5.4%
규 7
 
5.4%
격 7
 
5.4%
자 7
 
5.4%
의 7
 
5.4%
인 7
 
5.4%
용 5
 
3.8%
미 5
 
3.8%
만 5
 
3.8%
Other values (42) 65
50.0%
Common
ValueCountFrequency (%)
) 25
35.2%
( 25
35.2%
9
 
12.7%
1 6
 
8.5%
6 2
 
2.8%
5 2
 
2.8%
+ 1
 
1.4%
, 1
 
1.4%
Latin
ValueCountFrequency (%)
m 1
33.3%
T 1
33.3%
V 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130
63.7%
ASCII 74
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 25
33.8%
( 25
33.8%
9
 
12.2%
1 6
 
8.1%
6 2
 
2.7%
5 2
 
2.7%
+ 1
 
1.4%
m 1
 
1.4%
, 1
 
1.4%
T 1
 
1.4%
Hangul
ValueCountFrequency (%)
모 8
 
6.2%
든 7
 
5.4%
규 7
 
5.4%
격 7
 
5.4%
자 7
 
5.4%
의 7
 
5.4%
인 7
 
5.4%
용 5
 
3.8%
미 5
 
3.8%
만 5
 
3.8%
Other values (42) 65
50.0%

물품7개수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
859 
1
 
14
2
 
3
3
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.9350797
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 859
97.8%
1 14
 
1.6%
2 3
 
0.3%
3 1
 
0.1%
6 1
 
0.1%

Length

2023-12-11T08:31:27.503089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:27.612298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 859
97.8%
1 14
 
1.6%
2 3
 
0.3%
3 1
 
0.1%
6 1
 
0.1%

물품8(규격)
Text

MISSING 

Distinct10
Distinct (%)76.9%
Missing865
Missing (%)98.5%
Memory size7.0 KiB
2023-12-11T08:31:27.757618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length11
Min length8

Characters and Unicode

Total characters143
Distinct characters55
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)53.8%

Sample

1st row카페트(모든 규격)
2nd row응접세트(의자)
3rd row침대(일반)(2인용(틀+매트리스))
4th row의자(일반의자(1인용))
5th row책장(모든규격)
ValueCountFrequency (%)
규격 3
15.8%
카페트(모든 2
10.5%
책장(모든규격 2
10.5%
전자렌지(모든규격 2
10.5%
미만 2
10.5%
응접세트(의자 1
 
5.3%
침대(일반)(2인용(틀+매트리스 1
 
5.3%
의자(일반의자(1인용 1
 
5.3%
화장대(모든 1
 
5.3%
폐소화기(3.4㎏ 1
 
5.3%
Other values (3) 3
15.8%
2023-12-11T08:31:28.024112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 16
 
11.2%
) 16
 
11.2%
모 7
 
4.9%
든 7
 
4.9%
규 7
 
4.9%
격 7
 
4.9%
6
 
4.2%
자 5
 
3.5%
장 5
 
3.5%
트 4
 
2.8%
Other values (45) 63
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
65.0%
Open Punctuation 16
 
11.2%
Close Punctuation 16
 
11.2%
Decimal Number 7
 
4.9%
Space Separator 6
 
4.2%
Lowercase Letter 2
 
1.4%
Other Symbol 1
 
0.7%
Other Punctuation 1
 
0.7%
Math Symbol 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 7
 
7.5%
든 7
 
7.5%
규 7
 
7.5%
격 7
 
7.5%
자 5
 
5.4%
장 5
 
5.4%
트 4
 
4.3%
의 3
 
3.2%
만 3
 
3.2%
미 3
 
3.2%
Other values (30) 42
45.2%
Decimal Number
ValueCountFrequency (%)
5 1
14.3%
4 1
14.3%
0 1
14.3%
9 1
14.3%
3 1
14.3%
1 1
14.3%
2 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
m 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Symbol
ValueCountFrequency (%)
㎏ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93
65.0%
Common 48
33.6%
Latin 2
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 7
 
7.5%
든 7
 
7.5%
규 7
 
7.5%
격 7
 
7.5%
자 5
 
5.4%
장 5
 
5.4%
트 4
 
4.3%
의 3
 
3.2%
만 3
 
3.2%
미 3
 
3.2%
Other values (30) 42
45.2%
Common
ValueCountFrequency (%)
( 16
33.3%
) 16
33.3%
6
 
12.5%
5 1
 
2.1%
4 1
 
2.1%
0 1
 
2.1%
9 1
 
2.1%
㎏ 1
 
2.1%
. 1
 
2.1%
3 1
 
2.1%
Other values (3) 3
 
6.2%
Latin
ValueCountFrequency (%)
c 1
50.0%
m 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93
65.0%
ASCII 49
34.3%
CJK Compat 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 16
32.7%
) 16
32.7%
6
 
12.2%
5 1
 
2.0%
4 1
 
2.0%
c 1
 
2.0%
0 1
 
2.0%
9 1
 
2.0%
. 1
 
2.0%
3 1
 
2.0%
Other values (4) 4
 
8.2%
Hangul
ValueCountFrequency (%)
모 7
 
7.5%
든 7
 
7.5%
규 7
 
7.5%
격 7
 
7.5%
자 5
 
5.4%
장 5
 
5.4%
트 4
 
4.3%
의 3
 
3.2%
만 3
 
3.2%
미 3
 
3.2%
Other values (30) 42
45.2%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%

물품8개수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
865 
1
 
9
2
 
4

Length

Max length4
Median length4
Mean length3.9555809
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 865
98.5%
1 9
 
1.0%
2 4
 
0.5%

Length

2023-12-11T08:31:28.160147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:28.253280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 865
98.5%
1 9
 
1.0%
2 4
 
0.5%

물품9(규격)
Text

MISSING 

Distinct10
Distinct (%)83.3%
Missing866
Missing (%)98.6%
Memory size7.0 KiB
2023-12-11T08:31:28.384972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.666667
Min length8

Characters and Unicode

Total characters128
Distinct characters46
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)66.7%

Sample

1st row화장대(모든 규격)
2nd row식탁(6인미만)
3rd row상(가로,세로 1m미만)
4th row장롱(120cm장 1족)
5th row상(가로,세로 1m이상)
ValueCountFrequency (%)
규격 5
21.7%
서랍장(5단 2
 
8.7%
미만 2
 
8.7%
거울(모든 2
 
8.7%
상(가로,세로 2
 
8.7%
화장대(모든 1
 
4.3%
식탁(6인미만 1
 
4.3%
1m미만 1
 
4.3%
장롱(120cm장 1
 
4.3%
1족 1
 
4.3%
Other values (5) 5
21.7%
2023-12-11T08:31:28.938462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 12
 
9.4%
( 12
 
9.4%
11
 
8.6%
격 5
 
3.9%
장 5
 
3.9%
로 5
 
3.9%
모 5
 
3.9%
든 5
 
3.9%
규 5
 
3.9%
미 4
 
3.1%
Other values (36) 59
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
60.2%
Close Punctuation 12
 
9.4%
Open Punctuation 12
 
9.4%
Space Separator 11
 
8.6%
Decimal Number 9
 
7.0%
Lowercase Letter 4
 
3.1%
Other Punctuation 3
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
격 5
 
6.5%
장 5
 
6.5%
로 5
 
6.5%
모 5
 
6.5%
든 5
 
6.5%
규 5
 
6.5%
미 4
 
5.2%
만 4
 
5.2%
상 4
 
5.2%
서 2
 
2.6%
Other values (25) 33
42.9%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
5 2
22.2%
6 1
 
11.1%
0 1
 
11.1%
2 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
m 3
75.0%
c 1
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
60.2%
Common 47
36.7%
Latin 4
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
격 5
 
6.5%
장 5
 
6.5%
로 5
 
6.5%
모 5
 
6.5%
든 5
 
6.5%
규 5
 
6.5%
미 4
 
5.2%
만 4
 
5.2%
상 4
 
5.2%
서 2
 
2.6%
Other values (25) 33
42.9%
Common
ValueCountFrequency (%)
) 12
25.5%
( 12
25.5%
11
23.4%
1 4
 
8.5%
, 3
 
6.4%
5 2
 
4.3%
6 1
 
2.1%
0 1
 
2.1%
2 1
 
2.1%
Latin
ValueCountFrequency (%)
m 3
75.0%
c 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
60.2%
ASCII 51
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 12
23.5%
( 12
23.5%
11
21.6%
1 4
 
7.8%
m 3
 
5.9%
, 3
 
5.9%
5 2
 
3.9%
6 1
 
2.0%
c 1
 
2.0%
0 1
 
2.0%
Hangul
ValueCountFrequency (%)
격 5
 
6.5%
장 5
 
6.5%
로 5
 
6.5%
모 5
 
6.5%
든 5
 
6.5%
규 5
 
6.5%
미 4
 
5.2%
만 4
 
5.2%
상 4
 
5.2%
서 2
 
2.6%
Other values (25) 33
42.9%

물품9개수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
866 
1
 
6
3
 
2
5
 
2
10
 
1

Length

Max length4
Median length4
Mean length3.9601367
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 866
98.6%
1 6
 
0.7%
3 2
 
0.2%
5 2
 
0.2%
10 1
 
0.1%
2 1
 
0.1%

Length

2023-12-11T08:31:29.074766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:29.188190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 866
98.6%
1 6
 
0.7%
3 2
 
0.2%
5 2
 
0.2%
10 1
 
0.1%
2 1
 
0.1%

물품10(규격)
Text

MISSING 

Distinct6
Distinct (%)85.7%
Missing871
Missing (%)99.2%
Memory size7.0 KiB
2023-12-11T08:31:29.357799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.428571
Min length9

Characters and Unicode

Total characters80
Distinct characters34
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)71.4%

Sample

1st row장롱(90cm장 1족)
2nd row진열장(가로 90cm미만)
3rd row거울(모든 규격)
4th row장롱(90cm장 1족)
5th row상(가로,세로 1m이상)
ValueCountFrequency (%)
장롱(90cm장 2
15.4%
1족 2
15.4%
규격 2
15.4%
진열장(가로 1
7.7%
90cm미만 1
7.7%
거울(모든 1
7.7%
상(가로,세로 1
7.7%
1m이상 1
7.7%
전기장판(모든 1
7.7%
장판(3.3㎡당 1
7.7%
2023-12-11T08:31:29.663227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 7
 
8.8%
( 7
 
8.8%
) 7
 
8.8%
6
 
7.5%
m 4
 
5.0%
9 3
 
3.8%
로 3
 
3.8%
c 3
 
3.8%
1 3
 
3.8%
0 3
 
3.8%
Other values (24) 34
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39
48.8%
Decimal Number 11
 
13.8%
Open Punctuation 7
 
8.8%
Close Punctuation 7
 
8.8%
Lowercase Letter 7
 
8.8%
Space Separator 6
 
7.5%
Other Punctuation 2
 
2.5%
Other Symbol 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 7
17.9%
로 3
 
7.7%
규 2
 
5.1%
롱 2
 
5.1%
판 2
 
5.1%
상 2
 
5.1%
가 2
 
5.1%
격 2
 
5.1%
든 2
 
5.1%
족 2
 
5.1%
Other values (12) 13
33.3%
Decimal Number
ValueCountFrequency (%)
9 3
27.3%
1 3
27.3%
0 3
27.3%
3 2
18.2%
Lowercase Letter
ValueCountFrequency (%)
m 4
57.1%
c 3
42.9%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39
48.8%
Common 34
42.5%
Latin 7
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 7
17.9%
로 3
 
7.7%
규 2
 
5.1%
롱 2
 
5.1%
판 2
 
5.1%
상 2
 
5.1%
가 2
 
5.1%
격 2
 
5.1%
든 2
 
5.1%
족 2
 
5.1%
Other values (12) 13
33.3%
Common
ValueCountFrequency (%)
( 7
20.6%
) 7
20.6%
6
17.6%
9 3
8.8%
1 3
8.8%
0 3
8.8%
3 2
 
5.9%
. 1
 
2.9%
㎡ 1
 
2.9%
, 1
 
2.9%
Latin
ValueCountFrequency (%)
m 4
57.1%
c 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40
50.0%
Hangul 39
48.8%
CJK Compat 1
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 7
17.9%
로 3
 
7.7%
규 2
 
5.1%
롱 2
 
5.1%
판 2
 
5.1%
상 2
 
5.1%
가 2
 
5.1%
격 2
 
5.1%
든 2
 
5.1%
족 2
 
5.1%
Other values (12) 13
33.3%
ASCII
ValueCountFrequency (%)
( 7
17.5%
) 7
17.5%
6
15.0%
m 4
10.0%
9 3
7.5%
c 3
7.5%
1 3
7.5%
0 3
7.5%
3 2
 
5.0%
. 1
 
2.5%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

물품10개수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
871 
1
 
4
3
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.976082
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 871
99.2%
1 4
 
0.5%
3 2
 
0.2%
2 1
 
0.1%

Length

2023-12-11T08:31:29.783813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:29.889275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 871
99.2%
1 4
 
0.5%
3 2
 
0.2%
2 1
 
0.1%

Sample

번호신고일배출일물품개수수수료물품1(규격)물품1개수물품2(규격)물품2개수물품3(규격)물품3개수물품4(규격)물품4개수물품5(규격)물품5개수물품6(규격)물품6개수물품7(규격)물품7개수물품8(규격)물품8개수물품9(규격)물품9개수물품10(규격)물품10개수
012022-12-29 10:32:382023-01-0212,000 원의자(일반의자(1인용))1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
122022-12-29 10:37:422023-01-0213,000 원상(가로,세로 1m이상)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232022-12-30 10:06:052023-01-0417,000 원응접세트(쇼파)(3인용 이상)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
342022-12-30 11:17:092023-01-01210,000 원서랍장(5단 미만)1매트리스(2인용)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
452022-12-30 16:55:472023-01-01510,000 원판유리(1제곱미터당)5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
562022-12-31 10:58:042023-01-0212,000 원대형가방(모든 규격)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
672022-12-31 18:27:142023-01-02312,000 원서랍장(5단 이상)3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
782023-01-02 11:39:052023-01-0415,000 원매트리스(1인용)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
892023-01-02 13:50:102023-01-0417,000 원응접세트(쇼파)(3인용 이상)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9102023-01-04 14:26:152023-01-0612,000 원청소기(모든 규격)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호신고일배출일물품개수수수료물품1(규격)물품1개수물품2(규격)물품2개수물품3(규격)물품3개수물품4(규격)물품4개수물품5(규격)물품5개수물품6(규격)물품6개수물품7(규격)물품7개수물품8(규격)물품8개수물품9(규격)물품9개수물품10(규격)물품10개수
8688692023-11-21 16:44:462023-11-27115,000 원<NA><NA>침대(일반)(2인용(틀+매트리스))1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8698702023-11-21 17:18:242023-11-2313,000 원옥매트(모든 규격)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8708712023-11-22 10:05:022023-11-24110,000 원침대(일반)(1인용(틀+매트리스))1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8718722023-11-22 12:37:272023-11-2526,000 원상(가로,세로 1m이상)1상(가로,세로 1m이상)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8728732023-11-22 18:42:222023-11-2437,000 원거울(모든 규격)2상(가로,세로 1m이상)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8738742023-11-23 10:28:412023-11-2512,000 원상(가로,세로 1m미만)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8748752023-11-24 07:00:562023-11-26434,000 원서랍장(5단 이상)1장롱(90cm장 1족)1장롱(90cm장 1족)1장롱(90cm장 1족)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8758762023-11-24 13:03:162023-11-2614,000 원서랍장(5단 이상)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
876<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
877<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

번호신고일배출일물품개수수수료물품1(규격)물품1개수물품2(규격)물품2개수물품3(규격)물품3개수물품4(규격)물품4개수물품5(규격)물품5개수물품6(규격)물품6개수물품7(규격)물품7개수물품8(규격)물품8개수물품9(규격)물품9개수물품10(규격)물품10개수# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2