Overview

Dataset statistics

Number of variables11
Number of observations330
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.4 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://www.data.go.kr/data/15067973/fileData.do

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 111 (33.6%) zerosZeros
숙박 has 46 (13.9%) zerosZeros
약국 has 31 (9.4%) zerosZeros
연료 has 30 (9.1%) zerosZeros
유통업영리 - 편의점 has 30 (9.1%) zerosZeros
일반휴게 has 30 (9.1%) zerosZeros
학원 has 47 (14.2%) zerosZeros

Reproduction

Analysis started2024-03-14 16:18:55.397078
Analysis finished2024-03-14 16:19:17.726691
Duration22.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Categorical

Distinct30
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-11-01
 
11
2023-11-02
 
11
2023-11-03
 
11
2023-11-04
 
11
2023-11-05
 
11
Other values (25)
275 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-01
2nd row2023-11-02
3rd row2023-11-03
4th row2023-11-04
5th row2023-11-05

Common Values

ValueCountFrequency (%)
2023-11-01 11
 
3.3%
2023-11-02 11
 
3.3%
2023-11-03 11
 
3.3%
2023-11-04 11
 
3.3%
2023-11-05 11
 
3.3%
2023-11-06 11
 
3.3%
2023-11-07 11
 
3.3%
2023-11-08 11
 
3.3%
2023-11-09 11
 
3.3%
2023-11-10 11
 
3.3%
Other values (20) 220
66.7%

Length

2024-03-15T01:19:17.896730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-11-01 11
 
3.3%
2023-11-02 11
 
3.3%
2023-11-29 11
 
3.3%
2023-11-28 11
 
3.3%
2023-11-27 11
 
3.3%
2023-11-26 11
 
3.3%
2023-11-25 11
 
3.3%
2023-11-24 11
 
3.3%
2023-11-23 11
 
3.3%
2023-11-22 11
 
3.3%
Other values (20) 220
66.7%

지역
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
인천광역시 강화군
30 
인천광역시 계양구
30 
인천광역시 남동구
30 
인천광역시 동구
30 
인천광역시 미추홀구
30 
Other values (6)
180 

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 30
9.1%
인천광역시 계양구 30
9.1%
인천광역시 남동구 30
9.1%
인천광역시 동구 30
9.1%
인천광역시 미추홀구 30
9.1%
인천광역시 부평구 30
9.1%
인천광역시 서구 30
9.1%
인천광역시 연수구 30
9.1%
인천광역시 옹진군 30
9.1%
인천광역시 중구 30
9.1%

Length

2024-03-15T01:19:18.353997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인천광역시 300
47.6%
강화군 30
 
4.8%
계양구 30
 
4.8%
남동구 30
 
4.8%
동구 30
 
4.8%
미추홀구 30
 
4.8%
부평구 30
 
4.8%
서구 30
 
4.8%
연수구 30
 
4.8%
옹진군 30
 
4.8%
Other values (2) 60
 
9.5%

문화취미-영화관
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct162
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95587.182
Minimum0
Maximum1176200
Zeros111
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-15T01:19:18.710101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24750
Q3135125
95-th percentile408325
Maximum1176200
Range1176200
Interquartile range (IQR)135125

Descriptive statistics

Standard deviation158476.29
Coefficient of variation (CV)1.657924
Kurtosis13.297006
Mean95587.182
Median Absolute Deviation (MAD)24750
Skewness3.0498681
Sum31543770
Variance2.5114734 × 1010
MonotonicityNot monotonic
2024-03-15T01:19:19.078715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111
33.6%
6000 9
 
2.7%
28000 5
 
1.5%
3000 5
 
1.5%
13000 4
 
1.2%
14000 4
 
1.2%
12000 4
 
1.2%
21000 4
 
1.2%
46000 3
 
0.9%
19000 3
 
0.9%
Other values (152) 178
53.9%
ValueCountFrequency (%)
0 111
33.6%
3000 5
 
1.5%
5000 2
 
0.6%
6000 9
 
2.7%
6500 1
 
0.3%
7000 2
 
0.6%
9000 3
 
0.9%
9500 1
 
0.3%
11000 2
 
0.6%
11500 1
 
0.3%
ValueCountFrequency (%)
1176200 1
0.3%
1137750 1
0.3%
760750 1
0.3%
645000 1
0.3%
633250 1
0.3%
595000 1
0.3%
580900 1
0.3%
544000 1
0.3%
534410 1
0.3%
488880 1
0.3%

숙박
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct252
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean490983.27
Minimum0
Maximum3538299
Zeros46
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-15T01:19:19.343056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155650
median318650
Q3684750
95-th percentile1695189.7
Maximum3538299
Range3538299
Interquartile range (IQR)629100

Descriptive statistics

Standard deviation586148.74
Coefficient of variation (CV)1.1938263
Kurtosis6.4154554
Mean490983.27
Median Absolute Deviation (MAD)283900
Skewness2.2072015
Sum1.6202448 × 108
Variance3.4357034 × 1011
MonotonicityNot monotonic
2024-03-15T01:19:19.603462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
 
13.9%
30000 4
 
1.2%
8000 4
 
1.2%
25000 3
 
0.9%
55000 3
 
0.9%
17000 3
 
0.9%
20000 3
 
0.9%
195000 2
 
0.6%
210000 2
 
0.6%
215000 2
 
0.6%
Other values (242) 258
78.2%
ValueCountFrequency (%)
0 46
13.9%
3500 1
 
0.3%
8000 4
 
1.2%
15000 2
 
0.6%
16000 1
 
0.3%
17000 3
 
0.9%
18000 1
 
0.3%
20000 3
 
0.9%
25000 3
 
0.9%
30000 4
 
1.2%
ValueCountFrequency (%)
3538299 1
0.3%
3460600 1
0.3%
3277590 1
0.3%
2733510 1
0.3%
2665150 1
0.3%
2425990 1
0.3%
2349350 1
0.3%
2203926 1
0.3%
2149900 1
0.3%
2003800 1
0.3%

약국
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct300
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26174255
Minimum0
Maximum84470173
Zeros31
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-15T01:19:19.870722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13066626.5
median16568576
Q348113770
95-th percentile68621433
Maximum84470173
Range84470173
Interquartile range (IQR)45047144

Descriptive statistics

Standard deviation25001191
Coefficient of variation (CV)0.95518254
Kurtosis-1.1513567
Mean26174255
Median Absolute Deviation (MAD)16487826
Skewness0.53206312
Sum8.6375041 × 109
Variance6.2505957 × 1014
MonotonicityNot monotonic
2024-03-15T01:19:20.319617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
9.4%
2625200 1
 
0.3%
52572188 1
 
0.3%
52511326 1
 
0.3%
64903965 1
 
0.3%
63935981 1
 
0.3%
35483989 1
 
0.3%
65480160 1
 
0.3%
81620108 1
 
0.3%
11312520 1
 
0.3%
Other values (290) 290
87.9%
ValueCountFrequency (%)
0 31
9.4%
10000 1
 
0.3%
33500 1
 
0.3%
42100 1
 
0.3%
48800 1
 
0.3%
54000 1
 
0.3%
75300 1
 
0.3%
79000 1
 
0.3%
82500 1
 
0.3%
83700 1
 
0.3%
ValueCountFrequency (%)
84470173 1
0.3%
81620108 1
0.3%
80988527 1
0.3%
79399532 1
0.3%
77083628 1
0.3%
76892250 1
0.3%
74610320 1
0.3%
73973820 1
0.3%
72818210 1
0.3%
72651931 1
0.3%

연료
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct301
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38352783
Minimum0
Maximum1.426718 × 108
Zeros30
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-15T01:19:20.719284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19273629.2
median32735830
Q357860061
95-th percentile1.0910105 × 108
Maximum1.426718 × 108
Range1.426718 × 108
Interquartile range (IQR)48586432

Descriptive statistics

Standard deviation33602594
Coefficient of variation (CV)0.87614488
Kurtosis0.29027769
Mean38352783
Median Absolute Deviation (MAD)23935154
Skewness0.87789821
Sum1.2656418 × 1010
Variance1.1291343 × 1015
MonotonicityNot monotonic
2024-03-15T01:19:21.178568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.1%
9632594 1
 
0.3%
109199957 1
 
0.3%
99136583 1
 
0.3%
118764730 1
 
0.3%
118976544 1
 
0.3%
101438417 1
 
0.3%
60512230 1
 
0.3%
95415738 1
 
0.3%
101214491 1
 
0.3%
Other values (291) 291
88.2%
ValueCountFrequency (%)
0 30
9.1%
315700 1
 
0.3%
445000 1
 
0.3%
603200 1
 
0.3%
632720 1
 
0.3%
771500 1
 
0.3%
1085100 1
 
0.3%
1229000 1
 
0.3%
1375319 1
 
0.3%
1375600 1
 
0.3%
ValueCountFrequency (%)
142671798 1
0.3%
141890631 1
0.3%
139976782 1
0.3%
135706629 1
0.3%
124545283 1
0.3%
123208455 1
0.3%
122455428 1
0.3%
122007949 1
0.3%
120963562 1
0.3%
118976544 1
0.3%

유통업영리 - 편의점
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct301
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21222672
Minimum0
Maximum65434200
Zeros30
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-15T01:19:21.803345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12606762.5
median18694885
Q335017965
95-th percentile54460796
Maximum65434200
Range65434200
Interquartile range (IQR)32411203

Descriptive statistics

Standard deviation17905578
Coefficient of variation (CV)0.84370046
Kurtosis-0.89413437
Mean21222672
Median Absolute Deviation (MAD)16177855
Skewness0.40043015
Sum7.0034818 × 109
Variance3.2060973 × 1014
MonotonicityNot monotonic
2024-03-15T01:19:22.251863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.1%
2361560 1
 
0.3%
48692370 1
 
0.3%
46460940 1
 
0.3%
49157440 1
 
0.3%
52873120 1
 
0.3%
52288050 1
 
0.3%
36715980 1
 
0.3%
54955230 1
 
0.3%
55197680 1
 
0.3%
Other values (291) 291
88.2%
ValueCountFrequency (%)
0 30
9.1%
533100 1
 
0.3%
627090 1
 
0.3%
849300 1
 
0.3%
877450 1
 
0.3%
903550 1
 
0.3%
947390 1
 
0.3%
970470 1
 
0.3%
1059230 1
 
0.3%
1064850 1
 
0.3%
ValueCountFrequency (%)
65434200 1
0.3%
64921890 1
0.3%
62685620 1
0.3%
62492440 1
0.3%
61704980 1
0.3%
60573290 1
0.3%
60502230 1
0.3%
60303950 1
0.3%
59291640 1
0.3%
58420150 1
0.3%

일반휴게
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct301
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4569968 × 108
Minimum0
Maximum5.8107314 × 108
Zeros30
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-15T01:19:22.635298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123667204
median1.386626 × 108
Q32.3466977 × 108
95-th percentile3.5677681 × 108
Maximum5.8107314 × 108
Range5.8107314 × 108
Interquartile range (IQR)2.1100257 × 108

Descriptive statistics

Standard deviation1.2398198 × 108
Coefficient of variation (CV)0.85094197
Kurtosis-0.44021969
Mean1.4569968 × 108
Median Absolute Deviation (MAD)1.1255558 × 108
Skewness0.52883415
Sum4.8080896 × 1010
Variance1.537153 × 1016
MonotonicityNot monotonic
2024-03-15T01:19:22.907440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.1%
25527559 1
 
0.3%
362613512 1
 
0.3%
365498004 1
 
0.3%
437087027 1
 
0.3%
356233908 1
 
0.3%
290106392 1
 
0.3%
216357617 1
 
0.3%
285379497 1
 
0.3%
261742607 1
 
0.3%
Other values (291) 291
88.2%
ValueCountFrequency (%)
0 30
9.1%
2342445 1
 
0.3%
2591910 1
 
0.3%
2659420 1
 
0.3%
2755708 1
 
0.3%
3046400 1
 
0.3%
3119130 1
 
0.3%
3124000 1
 
0.3%
3148300 1
 
0.3%
3189380 1
 
0.3%
ValueCountFrequency (%)
581073144 1
0.3%
517262538 1
0.3%
447763798 1
0.3%
443493609 1
0.3%
437087027 1
0.3%
431730327 1
0.3%
424472676 1
0.3%
420003697 1
0.3%
410811797 1
0.3%
406794743 1
0.3%

학원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct282
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68486198
Minimum0
Maximum5.4166463 × 108
Zeros47
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-15T01:19:23.183183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14506212.5
median29775545
Q31.0724692 × 108
95-th percentile2.5560507 × 108
Maximum5.4166463 × 108
Range5.4166463 × 108
Interquartile range (IQR)1.027407 × 108

Descriptive statistics

Standard deviation90112335
Coefficient of variation (CV)1.3157736
Kurtosis5.0061556
Mean68486198
Median Absolute Deviation (MAD)29775545
Skewness2.0417398
Sum2.2600445 × 1010
Variance8.1202329 × 1015
MonotonicityNot monotonic
2024-03-15T01:19:23.601696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
 
14.2%
150000 3
 
0.9%
9949000 1
 
0.3%
299152313 1
 
0.3%
25780700 1
 
0.3%
65180509 1
 
0.3%
185540036 1
 
0.3%
184804670 1
 
0.3%
240213423 1
 
0.3%
57932700 1
 
0.3%
Other values (272) 272
82.4%
ValueCountFrequency (%)
0 47
14.2%
120500 1
 
0.3%
150000 3
 
0.9%
184500 1
 
0.3%
200000 1
 
0.3%
230000 1
 
0.3%
303900 1
 
0.3%
400000 1
 
0.3%
410000 1
 
0.3%
450000 1
 
0.3%
ValueCountFrequency (%)
541664627 1
0.3%
453033102 1
0.3%
446468398 1
0.3%
405302349 1
0.3%
404804995 1
0.3%
358240151 1
0.3%
352672213 1
0.3%
339016186 1
0.3%
331742704 1
0.3%
319137957 1
0.3%

기타
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct330
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6106219 × 108
Minimum3894930
Maximum1.1096276 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-15T01:19:23.906487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3894930
5-th percentile6541173.4
Q177881666
median3.289128 × 108
Q35.8985222 × 108
95-th percentile8.496396 × 108
Maximum1.1096276 × 109
Range1.1057327 × 109
Interquartile range (IQR)5.1197056 × 108

Descriptive statistics

Standard deviation2.855295 × 108
Coefficient of variation (CV)0.7908042
Kurtosis-0.94189119
Mean3.6106219 × 108
Median Absolute Deviation (MAD)2.5402555 × 108
Skewness0.43182318
Sum1.1915052 × 1011
Variance8.1527094 × 1016
MonotonicityNot monotonic
2024-03-15T01:19:24.176771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47863300 1
 
0.3%
638274990 1
 
0.3%
467424183 1
 
0.3%
520805312 1
 
0.3%
511982941 1
 
0.3%
510495915 1
 
0.3%
470874717 1
 
0.3%
669241562 1
 
0.3%
611641075 1
 
0.3%
524156536 1
 
0.3%
Other values (320) 320
97.0%
ValueCountFrequency (%)
3894930 1
0.3%
4505170 1
0.3%
4703040 1
0.3%
5022080 1
0.3%
5264350 1
0.3%
5345754 1
0.3%
5517500 1
0.3%
5546570 1
0.3%
5833920 1
0.3%
5929720 1
0.3%
ValueCountFrequency (%)
1109627592 1
0.3%
1100906098 1
0.3%
1050138872 1
0.3%
1037996398 1
0.3%
984855543 1
0.3%
963775185 1
0.3%
954775218 1
0.3%
933454077 1
0.3%
928131295 1
0.3%
901338697 1
0.3%

전체금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct330
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6158436 × 108
Minimum7701460
Maximum2.0730794 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-15T01:19:24.635638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7701460
5-th percentile13760975
Q11.3419429 × 108
median5.952018 × 108
Q31.0909362 × 109
95-th percentile1.6172044 × 109
Maximum2.0730794 × 109
Range2.0653779 × 109
Interquartile range (IQR)9.5674193 × 108

Descriptive statistics

Standard deviation5.3976479 × 108
Coefficient of variation (CV)0.81586692
Kurtosis-0.95200436
Mean6.6158436 × 108
Median Absolute Deviation (MAD)4.7345397 × 108
Skewness0.44140717
Sum2.1832284 × 1011
Variance2.9134603 × 1017
MonotonicityNot monotonic
2024-03-15T01:19:25.152777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98118213 1
 
0.3%
1155239095 1
 
0.3%
908885368 1
 
0.3%
991685548 1
 
0.3%
986538555 1
 
0.3%
964660501 1
 
0.3%
940953042 1
 
0.3%
1293714995 1
 
0.3%
1187893547 1
 
0.3%
1027314407 1
 
0.3%
Other values (320) 320
97.0%
ValueCountFrequency (%)
7701460 1
0.3%
10000040 1
0.3%
10497280 1
0.3%
11003332 1
0.3%
11445995 1
0.3%
11589540 1
0.3%
11633635 1
0.3%
12061150 1
0.3%
12126140 1
0.3%
12366922 1
0.3%
ValueCountFrequency (%)
2073079367 1
0.3%
2006156769 1
0.3%
1995761628 1
0.3%
1936534797 1
0.3%
1879653362 1
0.3%
1843191783 1
0.3%
1826617398 1
0.3%
1707069143 1
0.3%
1699866639 1
0.3%
1693150105 1
0.3%

Interactions

2024-03-15T01:19:14.702800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:56.089674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:58.834122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:01.085155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:03.324416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:06.119080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:08.666762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:10.890882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:13.156794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:14.871931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:56.358272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:59.101115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:01.344863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:03.590410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:06.406074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:08.935210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:11.145623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:13.339975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:15.069338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:56.632009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:59.368736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:01.603564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:03.859111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:06.704901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:09.100496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:11.603049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:13.504373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:15.314960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:56.879423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:59.522530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:01.838729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:04.188093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:07.034509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:09.353924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:11.844619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:13.650460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:15.668754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:57.162340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:59.799090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:02.096559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:04.504445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:07.296170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:09.617281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:12.108978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:13.835548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:15.924443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:57.425904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:00.069565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:02.352590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:04.822515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:07.496616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:09.878350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:12.374624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:14.068419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:16.174514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:57.925004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:00.312836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:02.604395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:05.129761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:07.818255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:10.132810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:12.634953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:14.234931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:16.430646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:58.299679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:00.570616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:02.836014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:05.522129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:08.073846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:10.388285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:12.861308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:14.403228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:16.678234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:58.585421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:00.832093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:03.082132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:05.847354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:08.419556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:10.642425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:13.014501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:19:14.558586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:19:25.464430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자지역문화취미-영화관숙박약국연료유통업영리 - 편의점일반휴게학원기타전체금액
일자1.0000.0000.0410.0630.0000.0000.0000.0000.0000.0000.000
지역0.0001.0000.5440.5430.7770.8520.8560.7710.5630.8210.831
문화취미-영화관0.0410.5441.0000.3560.3650.5500.5870.5740.3230.4760.498
숙박0.0630.5430.3561.0000.4410.5440.5260.5480.1750.4940.533
약국0.0000.7770.3650.4411.0000.8320.8580.8100.7350.8400.843
연료0.0000.8520.5500.5440.8321.0000.9450.9380.7560.9100.941
유통업영리 - 편의점0.0000.8560.5870.5260.8580.9451.0000.9100.7550.9020.943
일반휴게0.0000.7710.5740.5480.8100.9380.9101.0000.6720.9220.931
학원0.0000.5630.3230.1750.7350.7560.7550.6721.0000.7020.782
기타0.0000.8210.4760.4940.8400.9100.9020.9220.7021.0000.970
전체금액0.0000.8310.4980.5330.8430.9410.9430.9310.7820.9701.000
2024-03-15T01:19:25.887214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자지역
일자1.0000.000
지역0.0001.000
2024-03-15T01:19:26.224250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화취미-영화관숙박약국연료유통업영리 - 편의점일반휴게학원기타전체금액일자지역
문화취미-영화관1.0000.5820.5240.6940.6750.6930.5310.5690.6000.0000.292
숙박0.5821.0000.5690.7010.6530.7370.5760.6200.6390.0150.281
약국0.5240.5691.0000.8620.9010.8290.9210.8580.8730.0000.473
연료0.6940.7010.8621.0000.9530.9700.8640.9060.9300.0000.581
유통업영리 - 편의점0.6750.6530.9010.9531.0000.9500.8560.9010.9200.0000.588
일반휴게0.6930.7370.8290.9700.9501.0000.7990.9100.9230.0000.465
학원0.5310.5760.9210.8640.8560.7991.0000.8120.8560.0000.279
기타0.5690.6200.8580.9060.9010.9100.8121.0000.9920.0000.532
전체금액0.6000.6390.8730.9300.9200.9230.8560.9921.0000.0000.547
일자0.0000.0150.0000.0000.0000.0000.0000.0000.0001.0000.000
지역0.2920.2810.4730.5810.5880.4650.2790.5320.5470.0001.000

Missing values

2024-03-15T01:19:17.026037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:19:17.530196image/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
02023-11-01인천광역시 강화군280001310002625200963259423615602552755999490004786330098118213
12023-11-02인천광역시 강화군21000162300403720010893484252109032925006756900054776870112905950
22023-11-03인천광역시 강화군1300029600044251709719583291212032718620651950061095427117699420
32023-11-04인천광역시 강화군011600020823709834731366492050664140645930080092475152913936
42023-11-05인천광역시 강화군4600018000311600551117127221603415964032087004419458090171851
52023-11-06인천광역시 강화군46000800030609727568290228761021841140100571004155210086421212
62023-11-07인천광역시 강화군600061000338288011350565243396024846680934970054461360105892145
72023-11-08인천광역시 강화군280004375028085909891289266479026470130769550051149986100752035
82023-11-09인천광역시 강화군1400077500293859010407709249221028523010453000052754404101737423
92023-11-10인천광역시 강화군600082000396292010093453297846027498930594060067337987117900350
일자지역문화취미-영화관숙박약국연료유통업영리 - 편의점일반휴게학원기타전체금액
3202023-11-21기타0000000163202507163202507
3212023-11-22기타00000008738298987382989
3222023-11-23기타0000000160564819160564819
3232023-11-24기타0000000163990270163990270
3242023-11-25기타0000000158861722158861722
3252023-11-26기타00000008411893084118930
3262023-11-27기타0000000138142836138142836
3272023-11-28기타0000000118304493118304493
3282023-11-29기타0000000121218698121218698
3292023-11-30기타0000000119426513119426513