Overview

Dataset statistics

Number of variables3
Number of observations1686
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.9 KiB
Average record size in memory26.1 B

Variable types

Numeric2
Text1

Dataset

Description광주광역시 서구 관급봉투관리시스템의 종량제봉투(납부필증)지정판매업소의 동코드, 판매소코드, 상호 등에 대한 정보입니다.
Author광주광역시 서구
URLhttps://www.data.go.kr/data/15039700/fileData.do

Reproduction

Analysis started2023-12-12 13:42:50.097823
Analysis finished2023-12-12 13:42:51.193428
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

동코드
Real number (ℝ)

Distinct21
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11050211
Minimum11050200
Maximum11050220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2023-12-12T22:42:51.273611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11050200
5-th percentile11050201
Q111050207
median11050211
Q311050214
95-th percentile11050218
Maximum11050220
Range20
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.8747887
Coefficient of variation (CV)4.4114894 × 10-7
Kurtosis-0.67058664
Mean11050211
Median Absolute Deviation (MAD)4
Skewness-0.36732565
Sum1.8630655 × 1010
Variance23.763565
MonotonicityNot monotonic
2023-12-12T22:42:51.428982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
11050211 198
 
11.7%
11050213 184
 
10.9%
11050212 157
 
9.3%
11050216 142
 
8.4%
11050207 112
 
6.6%
11050215 101
 
6.0%
11050208 74
 
4.4%
11050209 73
 
4.3%
11050201 72
 
4.3%
11050217 69
 
4.1%
Other values (11) 504
29.9%
ValueCountFrequency (%)
11050200 21
 
1.2%
11050201 72
4.3%
11050202 31
 
1.8%
11050203 68
4.0%
11050204 46
2.7%
11050205 58
3.4%
11050206 59
3.5%
11050207 112
6.6%
11050208 74
4.4%
11050209 73
4.3%
ValueCountFrequency (%)
11050220 20
 
1.2%
11050219 26
 
1.5%
11050218 53
 
3.1%
11050217 69
 
4.1%
11050216 142
8.4%
11050215 101
6.0%
11050214 67
 
4.0%
11050213 184
10.9%
11050212 157
9.3%
11050211 198
11.7%

판매소코드
Real number (ℝ)

Distinct198
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.95433
Minimum1
Maximum198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2023-12-12T22:42:51.596802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q121
median45
Q386
95-th percentile162
Maximum198
Range197
Interquartile range (IQR)65

Descriptive statistics

Standard deviation48.758933
Coefficient of variation (CV)0.82706279
Kurtosis0.012145505
Mean58.95433
Median Absolute Deviation (MAD)28
Skewness0.98338719
Sum99397
Variance2377.4335
MonotonicityNot monotonic
2023-12-12T22:42:51.769570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 21
 
1.2%
7 21
 
1.2%
1 21
 
1.2%
8 21
 
1.2%
9 21
 
1.2%
10 21
 
1.2%
12 21
 
1.2%
13 21
 
1.2%
14 21
 
1.2%
15 21
 
1.2%
Other values (188) 1476
87.5%
ValueCountFrequency (%)
1 21
1.2%
2 21
1.2%
3 21
1.2%
4 21
1.2%
5 21
1.2%
6 21
1.2%
7 21
1.2%
8 21
1.2%
9 21
1.2%
10 21
1.2%
ValueCountFrequency (%)
198 1
0.1%
197 1
0.1%
196 1
0.1%
195 1
0.1%
194 1
0.1%
193 1
0.1%
192 1
0.1%
191 1
0.1%
190 1
0.1%
189 1
0.1%

상호
Text

Distinct1323
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2023-12-12T22:42:52.099259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.4816133
Min length2

Characters and Unicode

Total characters10928
Distinct characters466
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1106 ?
Unique (%)65.6%

Sample

1st row말바우청과
2nd row마트로상무점
3rd row머니텐슈퍼
4th row후레쉬 마트
5th row화정슈퍼
ValueCountFrequency (%)
씨유 69
 
3.4%
미니스톱 52
 
2.6%
gs25 39
 
1.9%
세븐일레븐 23
 
1.1%
이마트24 13
 
0.6%
우리마트 11
 
0.5%
편의점 9
 
0.4%
마트로 8
 
0.4%
월드마트 8
 
0.4%
알리바이 8
 
0.4%
Other values (1330) 1772
88.1%
2023-12-12T22:42:52.490004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
660
 
6.0%
566
 
5.2%
564
 
5.2%
326
 
3.0%
296
 
2.7%
272
 
2.5%
229
 
2.1%
193
 
1.8%
179
 
1.6%
179
 
1.6%
Other values (456) 7464
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9681
88.6%
Decimal Number 350
 
3.2%
Space Separator 326
 
3.0%
Uppercase Letter 301
 
2.8%
Close Punctuation 117
 
1.1%
Open Punctuation 101
 
0.9%
Lowercase Letter 28
 
0.3%
Other Punctuation 15
 
0.1%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
660
 
6.8%
566
 
5.8%
564
 
5.8%
296
 
3.1%
272
 
2.8%
229
 
2.4%
193
 
2.0%
179
 
1.8%
179
 
1.8%
165
 
1.7%
Other values (405) 6378
65.9%
Uppercase Letter
ValueCountFrequency (%)
S 80
26.6%
G 79
26.2%
C 29
 
9.6%
D 22
 
7.3%
K 13
 
4.3%
M 12
 
4.0%
O 11
 
3.7%
A 9
 
3.0%
U 7
 
2.3%
E 6
 
2.0%
Other values (11) 33
11.0%
Lowercase Letter
ValueCountFrequency (%)
e 9
32.1%
r 5
17.9%
u 2
 
7.1%
t 2
 
7.1%
a 2
 
7.1%
p 2
 
7.1%
n 1
 
3.6%
s 1
 
3.6%
k 1
 
3.6%
w 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 139
39.7%
5 87
24.9%
4 48
 
13.7%
1 37
 
10.6%
3 14
 
4.0%
6 9
 
2.6%
0 8
 
2.3%
8 5
 
1.4%
7 2
 
0.6%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 7
46.7%
. 5
33.3%
& 2
 
13.3%
1
 
6.7%
Space Separator
ValueCountFrequency (%)
326
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9681
88.6%
Common 918
 
8.4%
Latin 329
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
660
 
6.8%
566
 
5.8%
564
 
5.8%
296
 
3.1%
272
 
2.8%
229
 
2.4%
193
 
2.0%
179
 
1.8%
179
 
1.8%
165
 
1.7%
Other values (405) 6378
65.9%
Latin
ValueCountFrequency (%)
S 80
24.3%
G 79
24.0%
C 29
 
8.8%
D 22
 
6.7%
K 13
 
4.0%
M 12
 
3.6%
O 11
 
3.3%
e 9
 
2.7%
A 9
 
2.7%
U 7
 
2.1%
Other values (23) 58
17.6%
Common
ValueCountFrequency (%)
326
35.5%
2 139
15.1%
) 117
 
12.7%
( 101
 
11.0%
5 87
 
9.5%
4 48
 
5.2%
1 37
 
4.0%
3 14
 
1.5%
- 9
 
1.0%
6 9
 
1.0%
Other values (8) 31
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9678
88.6%
ASCII 1246
 
11.4%
Compat Jamo 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
660
 
6.8%
566
 
5.8%
564
 
5.8%
296
 
3.1%
272
 
2.8%
229
 
2.4%
193
 
2.0%
179
 
1.8%
179
 
1.8%
165
 
1.7%
Other values (404) 6375
65.9%
ASCII
ValueCountFrequency (%)
326
26.2%
2 139
11.2%
) 117
 
9.4%
( 101
 
8.1%
5 87
 
7.0%
S 80
 
6.4%
G 79
 
6.3%
4 48
 
3.9%
1 37
 
3.0%
C 29
 
2.3%
Other values (40) 203
16.3%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
None
ValueCountFrequency (%)
1
100.0%

Interactions

2023-12-12T22:42:50.685157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:50.375700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:50.867065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:50.540261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:42:52.591836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동코드판매소코드
동코드1.0000.556
판매소코드0.5561.000
2023-12-12T22:42:52.671985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동코드판매소코드
동코드1.0000.175
판매소코드0.1751.000

Missing values

2023-12-12T22:42:51.059574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:42:51.154861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

동코드판매소코드상호
01105020764말바우청과
111050211116마트로상무점
211050211117머니텐슈퍼
311050211118후레쉬 마트
41105020765화정슈퍼
51105020766마트로
61105020953슈퍼마켓맘
711050211119세븐일레븐상무518점
81105020539삼산슈퍼
91105020021신구봉투교환2
동코드판매소코드상호
16761105020222코스코마트
16771105020659GS25농성 대남점
16781105020658씨유 농성군분로점
16791105020960함평슈퍼
16801105020961염주 생활마트
168111050216175루디그린텍
16821105021463주식회사 대복에프엔지
1683110502016동광마트
16841105020310코사마트 광천점
1685110502043화순상회