Overview

Dataset statistics

Number of variables11
Number of observations400
Missing cells400
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.8 KiB
Average record size in memory94.3 B

Variable types

Categorical5
Unsupported1
Numeric3
Text1
DateTime1

Dataset

DescriptionSample
Author소상공인연합회
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=KFMZEROSTT003

Alerts

소상공인결제분류코드 has constant value ""Constant
년월 has constant value ""Constant
광역시도코드 has constant value ""Constant
광역시도명 has constant value ""Constant
소상공인시스템로그일시 has constant value ""Constant
결제건수 is highly overall correlated with 합계금액High correlation
합계금액 is highly overall correlated with 결제건수High correlation
표준산업업종상세분류코드 is highly overall correlated with 표준산업업종대분류코드High correlation
표준산업업종대분류코드 is highly overall correlated with 표준산업업종상세분류코드High correlation
소상공인시스템로그ID has 400 (100.0%) missing valuesMissing
표준산업업종상세분류코드 has unique valuesUnique
표준산업업종상세분류명 has unique valuesUnique
소상공인시스템로그ID is an unsupported type, check if it needs cleaning or further analysisUnsupported
결제건수 has 313 (78.2%) zerosZeros
합계금액 has 313 (78.2%) zerosZeros

Reproduction

Analysis started2023-12-10 06:31:31.668367
Analysis finished2023-12-10 06:31:34.527581
Duration2.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소상공인결제분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
ZEROP28000
400 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowZEROP28000
2nd rowZEROP28000
3rd rowZEROP28000
4th rowZEROP28000
5th rowZEROP28000

Common Values

ValueCountFrequency (%)
ZEROP28000 400
100.0%

Length

2023-12-10T15:31:34.644275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:31:34.799568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
zerop28000 400
100.0%

년월
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
202008
400 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202008
2nd row202008
3rd row202008
4th row202008
5th row202008

Common Values

ValueCountFrequency (%)
202008 400
100.0%

Length

2023-12-10T15:31:35.068452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:31:35.208992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202008 400
100.0%

소상공인시스템로그ID
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing400
Missing (%)100.0%
Memory size3.6 KiB

광역시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
28
400 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28
2nd row28
3rd row28
4th row28
5th row28

Common Values

ValueCountFrequency (%)
28 400
100.0%

Length

2023-12-10T15:31:35.370817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:31:35.543486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28 400
100.0%

광역시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
인천광역시
400 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시
2nd row인천광역시
3rd row인천광역시
4th row인천광역시
5th row인천광역시

Common Values

ValueCountFrequency (%)
인천광역시 400
100.0%

Length

2023-12-10T15:31:35.713661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:31:35.948380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 400
100.0%

결제건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct34
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.6525
Minimum0
Maximum4246
Zeros313
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-10T15:31:36.289950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14
Maximum4246
Range4246
Interquartile range (IQR)0

Descriptive statistics

Standard deviation212.96394
Coefficient of variation (CV)14.534308
Kurtosis393.48501
Mean14.6525
Median Absolute Deviation (MAD)0
Skewness19.760919
Sum5861
Variance45353.641
MonotonicityNot monotonic
2023-12-10T15:31:36.480831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 313
78.2%
1 18
 
4.5%
2 16
 
4.0%
4 6
 
1.5%
11 5
 
1.2%
3 5
 
1.2%
7 4
 
1.0%
13 3
 
0.8%
10 2
 
0.5%
14 2
 
0.5%
Other values (24) 26
 
6.5%
ValueCountFrequency (%)
0 313
78.2%
1 18
 
4.5%
2 16
 
4.0%
3 5
 
1.2%
4 6
 
1.5%
5 2
 
0.5%
6 2
 
0.5%
7 4
 
1.0%
8 1
 
0.2%
9 1
 
0.2%
ValueCountFrequency (%)
4246 1
0.2%
204 1
0.2%
150 1
0.2%
148 1
0.2%
140 1
0.2%
125 1
0.2%
96 1
0.2%
74 1
0.2%
65 1
0.2%
59 1
0.2%

합계금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct81
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171956.42
Minimum0
Maximum26260280
Zeros313
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-10T15:31:36.684633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile508584.9
Maximum26260280
Range26260280
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1444505.5
Coefficient of variation (CV)8.4004161
Kurtosis270.49993
Mean171956.42
Median Absolute Deviation (MAD)0
Skewness15.506149
Sum68782569
Variance2.0865961 × 1012
MonotonicityNot monotonic
2023-12-10T15:31:36.932468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 313
78.2%
1 4
 
1.0%
30000 2
 
0.5%
29000 2
 
0.5%
5000 2
 
0.5%
2 2
 
0.5%
3 1
 
0.2%
158001 1
 
0.2%
107312 1
 
0.2%
17000 1
 
0.2%
Other values (71) 71
 
17.8%
ValueCountFrequency (%)
0 313
78.2%
1 4
 
1.0%
2 2
 
0.5%
3 1
 
0.2%
5 1
 
0.2%
10 1
 
0.2%
15 1
 
0.2%
1000 1
 
0.2%
1001 1
 
0.2%
2000 1
 
0.2%
ValueCountFrequency (%)
26260280 1
0.2%
6852450 1
0.2%
6259124 1
0.2%
6156002 1
0.2%
3901975 1
0.2%
1650000 1
0.2%
1568052 1
0.2%
1450199 1
0.2%
1047450 1
0.2%
1027450 1
0.2%

표준산업업종대분류코드
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
G
139 
C
111 
I
24 
M
21 
P
19 
Other values (11)
86 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st rowA
2nd rowA
3rd rowA
4th rowA
5th rowA

Common Values

ValueCountFrequency (%)
G 139
34.8%
C 111
27.8%
I 24
 
6.0%
M 21
 
5.2%
P 19
 
4.8%
N 14
 
3.5%
A 13
 
3.2%
Q 13
 
3.2%
R 11
 
2.8%
F 10
 
2.5%
Other values (6) 25
 
6.2%

Length

2023-12-10T15:31:37.194816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
g 139
34.8%
c 111
27.8%
i 24
 
6.0%
m 21
 
5.2%
p 19
 
4.8%
n 14
 
3.5%
a 13
 
3.2%
q 13
 
3.2%
r 11
 
2.8%
f 10
 
2.5%
Other values (6) 25
 
6.2%

표준산업업종상세분류코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46233.845
Minimum1110
Maximum91132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-10T15:31:37.425991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1110
5-th percentile10397.35
Q129207.25
median46725.5
Q356202
95-th percentile86104.05
Maximum91132
Range90022
Interquartile range (IQR)26994.75

Descriptive statistics

Standard deviation22887.299
Coefficient of variation (CV)0.49503344
Kurtosis-0.52212918
Mean46233.845
Median Absolute Deviation (MAD)14705.5
Skewness0.08408692
Sum18493538
Variance5.2382848 × 108
MonotonicityStrictly increasing
2023-12-10T15:31:37.665348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1110 1
 
0.2%
47851 1
 
0.2%
49301 1
 
0.2%
47993 1
 
0.2%
47992 1
 
0.2%
47920 1
 
0.2%
47919 1
 
0.2%
47912 1
 
0.2%
47911 1
 
0.2%
47862 1
 
0.2%
Other values (390) 390
97.5%
ValueCountFrequency (%)
1110 1
0.2%
1121 1
0.2%
1122 1
0.2%
1131 1
0.2%
1140 1
0.2%
1152 1
0.2%
1231 1
0.2%
1299 1
0.2%
1300 1
0.2%
1411 1
0.2%
ValueCountFrequency (%)
91132 1
0.2%
91131 1
0.2%
91121 1
0.2%
91111 1
0.2%
90212 1
0.2%
90199 1
0.2%
90191 1
0.2%
90132 1
0.2%
90123 1
0.2%
90122 1
0.2%

표준산업업종상세분류명
Text

UNIQUE 

Distinct400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-10T15:31:38.181386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length12.335
Min length3

Characters and Unicode

Total characters4934
Distinct characters318
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique400 ?
Unique (%)100.0%

Sample

1st row곡물 및 기타 식량작물 재배업
2nd row채소작물 재배업
3rd row화훼작물 재배업
4th row과실작물 재배업
5th row기타 작물 재배업
ValueCountFrequency (%)
및 152
 
10.4%
기타 95
 
6.5%
제조업 95
 
6.5%
소매업 62
 
4.2%
도매업 58
 
4.0%
외 27
 
1.8%
그 27
 
1.8%
서비스업 20
 
1.4%
운영업 12
 
0.8%
기기 11
 
0.7%
Other values (568) 908
61.9%
2023-12-10T15:31:38.978175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1067
21.6%
업 373
 
7.6%
기 165
 
3.3%
및 152
 
3.1%
제 143
 
2.9%
매 132
 
2.7%
조 120
 
2.4%
품 109
 
2.2%
타 96
 
1.9%
용 88
 
1.8%
Other values (308) 2489
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3863
78.3%
Space Separator 1067
 
21.6%
Decimal Number 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 373
 
9.7%
기 165
 
4.3%
및 152
 
3.9%
제 143
 
3.7%
매 132
 
3.4%
조 120
 
3.1%
품 109
 
2.8%
타 96
 
2.5%
용 88
 
2.3%
소 81
 
2.1%
Other values (304) 2404
62.2%
Space Separator
ValueCountFrequency (%)
1067
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3863
78.3%
Common 1071
 
21.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 373
 
9.7%
기 165
 
4.3%
및 152
 
3.9%
제 143
 
3.7%
매 132
 
3.4%
조 120
 
3.1%
품 109
 
2.8%
타 96
 
2.5%
용 88
 
2.3%
소 81
 
2.1%
Other values (304) 2404
62.2%
Common
ValueCountFrequency (%)
1067
99.6%
1 2
 
0.2%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3850
78.0%
ASCII 1071
 
21.7%
Compat Jamo 13
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1067
99.6%
1 2
 
0.2%
( 1
 
0.1%
) 1
 
0.1%
Hangul
ValueCountFrequency (%)
업 373
 
9.7%
기 165
 
4.3%
및 152
 
3.9%
제 143
 
3.7%
매 132
 
3.4%
조 120
 
3.1%
품 109
 
2.8%
타 96
 
2.5%
용 88
 
2.3%
소 81
 
2.1%
Other values (303) 2391
62.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 13
100.0%

소상공인시스템로그일시
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2020-10-21 12:28:43
Maximum2020-10-21 12:28:43
2023-12-10T15:31:39.172602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:31:39.322120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-10T15:31:33.602052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:31:32.255221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:31:32.702251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:31:33.737446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:31:32.417367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:31:32.907349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:31:33.887316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:31:32.561853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:31:33.447729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:31:39.444944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
결제건수합계금액표준산업업종대분류코드표준산업업종상세분류코드
결제건수1.0001.0000.0000.000
합계금액1.0001.0000.0000.000
표준산업업종대분류코드0.0000.0001.0000.955
표준산업업종상세분류코드0.0000.0000.9551.000
2023-12-10T15:31:39.609504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
결제건수합계금액표준산업업종상세분류코드표준산업업종대분류코드
결제건수1.0000.994-0.0120.000
합계금액0.9941.000-0.0110.000
표준산업업종상세분류코드-0.012-0.0111.0000.798
표준산업업종대분류코드0.0000.0000.7981.000

Missing values

2023-12-10T15:31:34.068544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:31:34.386162image/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

소상공인결제분류코드년월소상공인시스템로그ID광역시도코드광역시도명결제건수합계금액표준산업업종대분류코드표준산업업종상세분류코드표준산업업종상세분류명소상공인시스템로그일시
0ZEROP28000202008<NA>28인천광역시00A1110곡물 및 기타 식량작물 재배업2020-10-21 12:28:43.0
1ZEROP28000202008<NA>28인천광역시00A1121채소작물 재배업2020-10-21 12:28:43.0
2ZEROP28000202008<NA>28인천광역시00A1122화훼작물 재배업2020-10-21 12:28:43.0
3ZEROP28000202008<NA>28인천광역시00A1131과실작물 재배업2020-10-21 12:28:43.0
4ZEROP28000202008<NA>28인천광역시00A1140기타 작물 재배업2020-10-21 12:28:43.0
5ZEROP28000202008<NA>28인천광역시00A1152채소화훼 및 과실작물 시설 재배업2020-10-21 12:28:43.0
6ZEROP28000202008<NA>28인천광역시00A1231양계업2020-10-21 12:28:43.0
7ZEROP28000202008<NA>28인천광역시00A1299그 외 기타 축산업2020-10-21 12:28:43.0
8ZEROP28000202008<NA>28인천광역시00A1300작물재배 및 축산 복합농업2020-10-21 12:28:43.0
9ZEROP28000202008<NA>28인천광역시00A1411작물재배 지원 서비스업2020-10-21 12:28:43.0
소상공인결제분류코드년월소상공인시스템로그ID광역시도코드광역시도명결제건수합계금액표준산업업종대분류코드표준산업업종상세분류코드표준산업업종상세분류명소상공인시스템로그일시
390ZEROP28000202008<NA>28인천광역시00R90122무용 및 음악단체2020-10-21 12:28:43.0
391ZEROP28000202008<NA>28인천광역시00R90123기타 공연단체2020-10-21 12:28:43.0
392ZEROP28000202008<NA>28인천광역시00R90132비공연 예술가2020-10-21 12:28:43.0
393ZEROP28000202008<NA>28인천광역시00R90191공연 기획업2020-10-21 12:28:43.0
394ZEROP28000202008<NA>28인천광역시00R90199그 외 기타 창작 및 예술관련 서비스업2020-10-21 12:28:43.0
395ZEROP28000202008<NA>28인천광역시00R90212독서실 운영업2020-10-21 12:28:43.0
396ZEROP28000202008<NA>28인천광역시00R91111실내 경기장 운영업2020-10-21 12:28:43.0
397ZEROP28000202008<NA>28인천광역시00R91121골프장 운영업2020-10-21 12:28:43.0
398ZEROP28000202008<NA>28인천광역시00R91131종합 스포츠시설 운영업2020-10-21 12:28:43.0
399ZEROP28000202008<NA>28인천광역시00R91132체력 단련시설 운영업2020-10-21 12:28:43.0