Overview

Dataset statistics

Number of variables11
Number of observations341
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.4 KiB
Average record size in memory97.4 B

Variable types

Categorical2
Numeric9

Dataset

Descriptione음카드 군구별_일별_업종별_일별(월단위)_ 결제금액 (지역, 문화,취미,숙박,약국,주유소,유통업,학원)등의 정보를 제공
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15067973&srcSe=7661IVAWM27C61E190

Alerts

문화취미-영화관 is highly overall correlated with 숙박 and 7 other fieldsHigh correlation
숙박 is highly overall correlated with 문화취미-영화관 and 7 other fieldsHigh correlation
약국 is highly overall correlated with 문화취미-영화관 and 7 other fieldsHigh correlation
연료 is highly overall correlated with 문화취미-영화관 and 8 other fieldsHigh correlation
유통업영리 - 편의점 is highly overall correlated with 문화취미-영화관 and 8 other fieldsHigh correlation
일반휴게 is highly overall correlated with 문화취미-영화관 and 7 other fieldsHigh correlation
학원 is highly overall correlated with 문화취미-영화관 and 7 other fieldsHigh correlation
기타 is highly overall correlated with 문화취미-영화관 and 8 other fieldsHigh correlation
전체금액 is highly overall correlated with 문화취미-영화관 and 8 other fieldsHigh correlation
지역 is highly overall correlated with 연료 and 3 other fieldsHigh correlation
기타 has unique valuesUnique
전체금액 has unique valuesUnique
문화취미-영화관 has 73 (21.4%) zerosZeros
숙박 has 55 (16.1%) zerosZeros
약국 has 31 (9.1%) zerosZeros
연료 has 31 (9.1%) zerosZeros
유통업영리 - 편의점 has 31 (9.1%) zerosZeros
일반휴게 has 31 (9.1%) zerosZeros
학원 has 45 (13.2%) zerosZeros

Reproduction

Analysis started2024-01-28 14:50:58.778640
Analysis finished2024-01-28 14:51:06.353862
Duration7.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Categorical

Distinct31
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-08-01
 
11
2023-08-02
 
11
2023-08-03
 
11
2023-08-04
 
11
2023-08-05
 
11
Other values (26)
286 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-01
2nd row2023-08-02
3rd row2023-08-03
4th row2023-08-04
5th row2023-08-05

Common Values

ValueCountFrequency (%)
2023-08-01 11
 
3.2%
2023-08-02 11
 
3.2%
2023-08-03 11
 
3.2%
2023-08-04 11
 
3.2%
2023-08-05 11
 
3.2%
2023-08-06 11
 
3.2%
2023-08-07 11
 
3.2%
2023-08-08 11
 
3.2%
2023-08-09 11
 
3.2%
2023-08-10 11
 
3.2%
Other values (21) 231
67.7%

Length

2024-01-28T23:51:06.411345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-08-01 11
 
3.2%
2023-08-17 11
 
3.2%
2023-08-30 11
 
3.2%
2023-08-29 11
 
3.2%
2023-08-28 11
 
3.2%
2023-08-27 11
 
3.2%
2023-08-26 11
 
3.2%
2023-08-25 11
 
3.2%
2023-08-24 11
 
3.2%
2023-08-23 11
 
3.2%
Other values (21) 231
67.7%

지역
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
인천광역시 강화군
31 
인천광역시 계양구
31 
인천광역시 남동구
31 
인천광역시 동구
31 
인천광역시 미추홀구
31 
Other values (6)
186 

Length

Max length10
Median length9
Mean length8.1818182
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 강화군 31
9.1%
인천광역시 계양구 31
9.1%
인천광역시 남동구 31
9.1%
인천광역시 동구 31
9.1%
인천광역시 미추홀구 31
9.1%
인천광역시 부평구 31
9.1%
인천광역시 서구 31
9.1%
인천광역시 연수구 31
9.1%
인천광역시 옹진군 31
9.1%
인천광역시 중구 31
9.1%

Length

2024-01-28T23:51:06.527722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인천광역시 310
47.6%
강화군 31
 
4.8%
계양구 31
 
4.8%
남동구 31
 
4.8%
동구 31
 
4.8%
미추홀구 31
 
4.8%
부평구 31
 
4.8%
서구 31
 
4.8%
연수구 31
 
4.8%
옹진군 31
 
4.8%
Other values (2) 62
 
9.5%

문화취미-영화관
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct227
Distinct (%)66.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239066.72
Minimum0
Maximum2028850
Zeros73
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-28T23:51:06.644065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17000
median103800
Q3326000
95-th percentile977600
Maximum2028850
Range2028850
Interquartile range (IQR)319000

Descriptive statistics

Standard deviation341207.59
Coefficient of variation (CV)1.4272484
Kurtosis5.4901509
Mean239066.72
Median Absolute Deviation (MAD)103800
Skewness2.220439
Sum81521750
Variance1.1642262 × 1011
MonotonicityNot monotonic
2024-01-28T23:51:06.766475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73
 
21.4%
6000 7
 
2.1%
15000 5
 
1.5%
3000 4
 
1.2%
21000 4
 
1.2%
60000 3
 
0.9%
12000 3
 
0.9%
28000 3
 
0.9%
48000 3
 
0.9%
29000 2
 
0.6%
Other values (217) 234
68.6%
ValueCountFrequency (%)
0 73
21.4%
3000 4
 
1.2%
6000 7
 
2.1%
7000 2
 
0.6%
9000 1
 
0.3%
12000 3
 
0.9%
13000 2
 
0.6%
14000 2
 
0.6%
15000 5
 
1.5%
15500 1
 
0.3%
ValueCountFrequency (%)
2028850 1
0.3%
1739130 1
0.3%
1637500 1
0.3%
1553740 1
0.3%
1499760 1
0.3%
1465160 1
0.3%
1318500 1
0.3%
1301900 1
0.3%
1236110 1
0.3%
1219000 1
0.3%

숙박
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct272
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1011399.4
Minimum0
Maximum9346750
Zeros55
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-28T23:51:06.882903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1119500
median475000
Q3944100
95-th percentile5170590
Maximum9346750
Range9346750
Interquartile range (IQR)824600

Descriptive statistics

Standard deviation1685352.6
Coefficient of variation (CV)1.6663571
Kurtosis7.6248621
Mean1011399.4
Median Absolute Deviation (MAD)400000
Skewness2.8057562
Sum3.448872 × 108
Variance2.8404133 × 1012
MonotonicityNot monotonic
2024-01-28T23:51:06.991402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
16.1%
35000 3
 
0.9%
227500 2
 
0.6%
60000 2
 
0.6%
436000 2
 
0.6%
185000 2
 
0.6%
75000 2
 
0.6%
120000 2
 
0.6%
20000 2
 
0.6%
30000 2
 
0.6%
Other values (262) 267
78.3%
ValueCountFrequency (%)
0 55
16.1%
7000 1
 
0.3%
10000 1
 
0.3%
15000 1
 
0.3%
20000 2
 
0.6%
22000 1
 
0.3%
24000 1
 
0.3%
30000 2
 
0.6%
34500 1
 
0.3%
35000 3
 
0.9%
ValueCountFrequency (%)
9346750 1
0.3%
8617775 1
0.3%
8067898 1
0.3%
7638875 1
0.3%
7607700 1
0.3%
7372500 1
0.3%
7280875 1
0.3%
7225235 1
0.3%
6858370 1
0.3%
6820200 1
0.3%

약국
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct311
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26271028
Minimum0
Maximum89928503
Zeros31
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-28T23:51:07.101539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13009280
median16962530
Q348101910
95-th percentile72300510
Maximum89928503
Range89928503
Interquartile range (IQR)45092630

Descriptive statistics

Standard deviation25570717
Coefficient of variation (CV)0.97334285
Kurtosis-0.9818871
Mean26271028
Median Absolute Deviation (MAD)16903230
Skewness0.59995221
Sum8.9584205 × 109
Variance6.5386158 × 1014
MonotonicityNot monotonic
2024-01-28T23:51:07.217030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
9.1%
3726670 1
 
0.3%
9331440 1
 
0.3%
8107450 1
 
0.3%
46359371 1
 
0.3%
60304863 1
 
0.3%
60952812 1
 
0.3%
45358955 1
 
0.3%
59832830 1
 
0.3%
77920092 1
 
0.3%
Other values (301) 301
88.3%
ValueCountFrequency (%)
0 31
9.1%
21000 1
 
0.3%
32000 1
 
0.3%
37600 1
 
0.3%
39200 1
 
0.3%
52200 1
 
0.3%
58000 1
 
0.3%
58200 1
 
0.3%
59300 1
 
0.3%
61200 1
 
0.3%
ValueCountFrequency (%)
89928503 1
0.3%
88519405 1
0.3%
86579027 1
0.3%
81968488 1
0.3%
79428999 1
0.3%
77920092 1
0.3%
77680039 1
0.3%
75815031 1
0.3%
75770207 1
0.3%
75744945 1
0.3%

연료
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct311
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49541429
Minimum0
Maximum1.7544237 × 108
Zeros31
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-28T23:51:07.323842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110886646
median46388825
Q371615896
95-th percentile1.4104893 × 108
Maximum1.7544237 × 108
Range1.7544237 × 108
Interquartile range (IQR)60729250

Descriptive statistics

Standard deviation43481457
Coefficient of variation (CV)0.87767869
Kurtosis0.30244048
Mean49541429
Median Absolute Deviation (MAD)33925408
Skewness0.87731338
Sum1.6893627 × 1010
Variance1.8906371 × 1015
MonotonicityNot monotonic
2024-01-28T23:51:07.439280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
9.1%
12505324 1
 
0.3%
133645279 1
 
0.3%
126070332 1
 
0.3%
155272077 1
 
0.3%
151784247 1
 
0.3%
130217142 1
 
0.3%
119775784 1
 
0.3%
126705969 1
 
0.3%
141048931 1
 
0.3%
Other values (301) 301
88.3%
ValueCountFrequency (%)
0 31
9.1%
529800 1
 
0.3%
555550 1
 
0.3%
625000 1
 
0.3%
656645 1
 
0.3%
660000 1
 
0.3%
667000 1
 
0.3%
709216 1
 
0.3%
996424 1
 
0.3%
1065705 1
 
0.3%
ValueCountFrequency (%)
175442374 1
0.3%
174009399 1
0.3%
171972218 1
0.3%
171291455 1
0.3%
170444919 1
0.3%
167706423 1
0.3%
161554161 1
0.3%
160874261 1
0.3%
160451564 1
0.3%
159387739 1
0.3%

유통업영리 - 편의점
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct311
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20989820
Minimum0
Maximum60448230
Zeros31
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-28T23:51:07.560469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12787700
median18989170
Q334154748
95-th percentile52736500
Maximum60448230
Range60448230
Interquartile range (IQR)31367048

Descriptive statistics

Standard deviation17369812
Coefficient of variation (CV)0.82753509
Kurtosis-0.98225921
Mean20989820
Median Absolute Deviation (MAD)15961880
Skewness0.33352441
Sum7.1575286 × 109
Variance3.0171038 × 1014
MonotonicityNot monotonic
2024-01-28T23:51:07.670025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
9.1%
2787700 1
 
0.3%
48585950 1
 
0.3%
48360490 1
 
0.3%
52006950 1
 
0.3%
56013830 1
 
0.3%
52173090 1
 
0.3%
49821920 1
 
0.3%
53453620 1
 
0.3%
56830130 1
 
0.3%
Other values (301) 301
88.3%
ValueCountFrequency (%)
0 31
9.1%
902180 1
 
0.3%
956630 1
 
0.3%
959150 1
 
0.3%
1050310 1
 
0.3%
1053790 1
 
0.3%
1103580 1
 
0.3%
1115790 1
 
0.3%
1155600 1
 
0.3%
1212120 1
 
0.3%
ValueCountFrequency (%)
60448230 1
0.3%
60386450 1
0.3%
60332680 1
0.3%
59208100 1
0.3%
58899650 1
0.3%
58844970 1
0.3%
57640610 1
0.3%
57110100 1
0.3%
56830130 1
0.3%
56158730 1
0.3%

일반휴게
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct311
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7501142 × 108
Minimum0
Maximum6.9642822 × 108
Zeros31
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-28T23:51:07.784556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125478129
median1.7153289 × 108
Q32.7879455 × 108
95-th percentile4.4671257 × 108
Maximum6.9642822 × 108
Range6.9642822 × 108
Interquartile range (IQR)2.5331642 × 108

Descriptive statistics

Standard deviation1.5223199 × 108
Coefficient of variation (CV)0.86984034
Kurtosis-0.33062816
Mean1.7501142 × 108
Median Absolute Deviation (MAD)1.3345892 × 108
Skewness0.6293039
Sum5.9678893 × 1010
Variance2.3174579 × 1016
MonotonicityNot monotonic
2024-01-28T23:51:07.906030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
9.1%
52586480 1
 
0.3%
380559423 1
 
0.3%
369697553 1
 
0.3%
446712568 1
 
0.3%
372544785 1
 
0.3%
292254958 1
 
0.3%
269420554 1
 
0.3%
273818833 1
 
0.3%
261463318 1
 
0.3%
Other values (301) 301
88.3%
ValueCountFrequency (%)
0 31
9.1%
2359900 1
 
0.3%
3046200 1
 
0.3%
3091300 1
 
0.3%
3209760 1
 
0.3%
3553800 1
 
0.3%
3592500 1
 
0.3%
3601127 1
 
0.3%
3669450 1
 
0.3%
3779000 1
 
0.3%
ValueCountFrequency (%)
696428218 1
0.3%
603048404 1
0.3%
591759757 1
0.3%
576740402 1
0.3%
551350458 1
0.3%
541448208 1
0.3%
515082034 1
0.3%
507590028 1
0.3%
494198376 1
0.3%
491825176 1
0.3%

학원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct296
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68843935
Minimum0
Maximum5.0496013 × 108
Zeros45
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-28T23:51:08.034096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13064000
median26357300
Q31.120825 × 108
95-th percentile2.5564127 × 108
Maximum5.0496013 × 108
Range5.0496013 × 108
Interquartile range (IQR)1.090185 × 108

Descriptive statistics

Standard deviation89733009
Coefficient of variation (CV)1.3034265
Kurtosis3.7743751
Mean68843935
Median Absolute Deviation (MAD)26357300
Skewness1.84666
Sum2.3475782 × 1010
Variance8.0520129 × 1015
MonotonicityNot monotonic
2024-01-28T23:51:08.162587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
 
13.2%
292500 2
 
0.6%
155304800 1
 
0.3%
190636540 1
 
0.3%
23856200 1
 
0.3%
181883681 1
 
0.3%
19959900 1
 
0.3%
64725420 1
 
0.3%
190100730 1
 
0.3%
12135000 1
 
0.3%
Other values (286) 286
83.9%
ValueCountFrequency (%)
0 45
13.2%
120000 1
 
0.3%
150000 1
 
0.3%
165000 1
 
0.3%
180000 1
 
0.3%
202500 1
 
0.3%
230000 1
 
0.3%
250000 1
 
0.3%
253700 1
 
0.3%
279400 1
 
0.3%
ValueCountFrequency (%)
504960132 1
0.3%
447128040 1
0.3%
405399170 1
0.3%
399592950 1
0.3%
375170000 1
0.3%
366535370 1
0.3%
361773130 1
0.3%
351634125 1
0.3%
311938010 1
0.3%
311832750 1
0.3%

기타
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7237113 × 108
Minimum5532500
Maximum1.1250689 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-28T23:51:08.295556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5532500
5-th percentile8052322
Q159588441
median3.6342909 × 108
Q36.3066129 × 108
95-th percentile8.7594697 × 108
Maximum1.1250689 × 109
Range1.1195364 × 109
Interquartile range (IQR)5.7107285 × 108

Descriptive statistics

Standard deviation3.0908187 × 108
Coefficient of variation (CV)0.83003714
Kurtosis-1.2023188
Mean3.7237113 × 108
Median Absolute Deviation (MAD)2.968505 × 108
Skewness0.34271423
Sum1.2697856 × 1011
Variance9.5531604 × 1016
MonotonicityNot monotonic
2024-01-28T23:51:08.414849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58192690 1
 
0.3%
590417342 1
 
0.3%
590167049 1
 
0.3%
592807350 1
 
0.3%
586527864 1
 
0.3%
666160478 1
 
0.3%
561907284 1
 
0.3%
812212005 1
 
0.3%
681605670 1
 
0.3%
486240516 1
 
0.3%
Other values (331) 331
97.1%
ValueCountFrequency (%)
5532500 1
0.3%
5606777 1
0.3%
5990830 1
0.3%
6441434 1
0.3%
6848300 1
0.3%
6887110 1
0.3%
7266570 1
0.3%
7290690 1
0.3%
7365579 1
0.3%
7404620 1
0.3%
ValueCountFrequency (%)
1125068857 1
0.3%
1070837426 1
0.3%
1028112955 1
0.3%
998349473 1
0.3%
993916526 1
0.3%
977792763 1
0.3%
972666978 1
0.3%
972123805 1
0.3%
952952277 1
0.3%
937521807 1
0.3%

전체금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1427923 × 108
Minimum7365579
Maximum2.0916502 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-01-28T23:51:08.800836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7365579
5-th percentile15832070
Q11.1346135 × 108
median6.6497458 × 108
Q31.1887298 × 109
95-th percentile1.7194522 × 109
Maximum2.0916502 × 109
Range2.0842846 × 109
Interquartile range (IQR)1.0752685 × 109

Descriptive statistics

Standard deviation5.9664996 × 108
Coefficient of variation (CV)0.83531753
Kurtosis-1.1009135
Mean7.1427923 × 108
Median Absolute Deviation (MAD)5.4578972 × 108
Skewness0.36910906
Sum2.4356922 × 1011
Variance3.5599117 × 1017
MonotonicityNot monotonic
2024-01-28T23:51:08.910806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142131864 1
 
0.3%
1390291389 1
 
0.3%
1120807359 1
 
0.3%
1142594553 1
 
0.3%
1098802807 1
 
0.3%
1260177654 1
 
0.3%
1083492536 1
 
0.3%
1498964367 1
 
0.3%
1311750843 1
 
0.3%
908490581 1
 
0.3%
Other values (331) 331
97.1%
ValueCountFrequency (%)
7365579 1
0.3%
8480315 1
0.3%
8707850 1
0.3%
9785616 1
0.3%
11004697 1
0.3%
11176085 1
0.3%
13019466 1
0.3%
13043134 1
0.3%
13051951 1
0.3%
13375400 1
0.3%
ValueCountFrequency (%)
2091650171 1
0.3%
2082924428 1
0.3%
2055280560 1
0.3%
2036573885 1
0.3%
1987166938 1
0.3%
1956233041 1
0.3%
1952153781 1
0.3%
1941292282 1
0.3%
1923801742 1
0.3%
1829558851 1
0.3%

Interactions

2024-01-28T23:51:05.432699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:50:59.186319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.245661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.952801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.599442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.319899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.056214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.787569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.452171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:05.519313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:50:59.268384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.361949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.032269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.692855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.414874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.150664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.872278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.538707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:05.590098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:50:59.340184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.436018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.093583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.766900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.489907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.220380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.938035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.611327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:05.665648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:50:59.410064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.500177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.155557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.837631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.574984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.311331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.004815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.695594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:05.745473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:50:59.827519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.585348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.231645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.921516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.663017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.395545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.088423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.773229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:05.828710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:50:59.904529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.662434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.301919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.002106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.736900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.475075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.164482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.851040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:05.918901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:50:59.996582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.738510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.384452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.100958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.819583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.553973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.235613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:05.204485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:06.005141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.077515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.811724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.453754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.177114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.898669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.626779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.307539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:05.282916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:06.083175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.166928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:00.889043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:01.528436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.249547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:02.981507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:03.711421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:04.378929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:51:05.360636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T23:51:08.992441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자지역문화취미-영화관숙박약국연료유통업영리 - 편의점일반휴게학원기타전체금액
일자1.0000.0000.0780.0000.2740.0000.0000.0000.0000.0000.000
지역0.0001.0000.5500.6240.7400.8570.8970.7220.5960.8320.835
문화취미-영화관0.0780.5501.0000.2460.5460.7840.6070.8550.6650.6910.734
숙박0.0000.6240.2461.0000.5740.6740.5520.6010.0000.7030.720
약국0.2740.7400.5460.5741.0000.8380.7430.7690.8220.8740.855
연료0.0000.8570.7840.6740.8381.0000.8610.9000.7970.9080.961
유통업영리 - 편의점0.0000.8970.6070.5520.7430.8611.0000.7700.6500.8370.864
일반휴게0.0000.7220.8550.6010.7690.9000.7701.0000.7160.8780.902
학원0.0000.5960.6650.0000.8220.7970.6500.7161.0000.7150.807
기타0.0000.8320.6910.7030.8740.9080.8370.8780.7151.0000.964
전체금액0.0000.8350.7340.7200.8550.9610.8640.9020.8070.9641.000
2024-01-28T23:51:09.102135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역일자
지역1.0000.000
일자0.0001.000
2024-01-28T23:51:09.179641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화취미-영화관숙박약국연료유통업영리 - 편의점일반휴게학원기타전체금액일자지역
문화취미-영화관1.0000.6960.6890.8600.8560.8990.6970.8090.8390.0210.271
숙박0.6961.0000.5030.6150.5630.6870.5520.5800.6000.0000.324
약국0.6890.5031.0000.8670.8890.8080.9340.8960.8990.0950.430
연료0.8600.6150.8671.0000.9440.9610.8630.9600.9740.0000.590
유통업영리 - 편의점0.8560.5630.8890.9441.0000.9220.8360.9300.9380.0000.714
일반휴게0.8990.6870.8080.9610.9221.0000.8090.9280.9550.0000.411
학원0.6970.5520.9340.8630.8360.8091.0000.8510.8870.0000.303
기타0.8090.5800.8960.9600.9300.9280.8511.0000.9870.0000.549
전체금액0.8390.6000.8990.9740.9380.9550.8870.9871.0000.0000.553
일자0.0210.0000.0950.0000.0000.0000.0000.0000.0001.0000.000
지역0.2710.3240.4300.5900.7140.4110.3030.5490.5530.0001.000

Missing values

2024-01-28T23:51:06.178975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T23:51:06.302617image/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

일자지역문화취미-영화관숙박약국연료유통업영리 - 편의점일반휴게학원기타전체금액
02023-08-01인천광역시 강화군210001770003726670125053242787700525864801213500058192690142131864
12023-08-02인천광역시 강화군7000396500334853011501757362557054763320771400063841050145197727
22023-08-03인천광역시 강화군9300010330003759320109115592521760552416801033150059230076143121895
32023-08-04인천광역시 강화군6000193500415060011146319325869052406340863800064222710144022159
42023-08-05인천광역시 강화군55000194500174790011122102310342073006218219900073288166164716306
52023-08-06인천광역시 강화군13000270000365500781296429394205747321067700053260500122811594
62023-08-07인천광역시 강화군600001240004448440139992562810260349586381033000053589935120320529
72023-08-08인천광역시 강화군210001580003557640122087932528880400732201012200050515326119184859
82023-08-09인천광역시 강화군6000057500291712212254009267155037450936554100059166704120118821
92023-08-10인천광역시 강화군140002275003009280614643418112302486340014615004446050081993844
일자지역문화취미-영화관숙박약국연료유통업영리 - 편의점일반휴게학원기타전체금액
3312023-08-22기타00000007501051875010518
3322023-08-23기타00000004530438345304383
3332023-08-24기타00000005765918057659180
3342023-08-25기타00000004479383044793830
3352023-08-26기타00000001851210018512100
3362023-08-27기타000000084803158480315
3372023-08-28기타00000004522672045226720
3382023-08-29기타00000002562726425627264
3392023-08-30기타00000002854278328542783
3402023-08-31기타0000000151777129151777129