Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells43360
Missing cells (%)72.3%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory546.9 KiB
Average record size in memory56.0 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description인천광역시 서구 통신판매업 현황 정보 (관리번호, 법인 또는 상호명, 소재지주소(도로명,지번),취급품목 등) 에 관한 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15039509&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
번호 has 8672 (86.7%) missing valuesMissing
관리번호 has 8672 (86.7%) missing valuesMissing
법인또는상호 has 8672 (86.7%) missing valuesMissing
소재지주소 has 8672 (86.7%) missing valuesMissing
취급품목 has 8672 (86.7%) missing valuesMissing

Reproduction

Analysis started2024-03-18 02:00:12.721130
Analysis finished2024-03-18 02:00:20.569723
Duration7.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

MISSING 

Distinct1328
Distinct (%)100.0%
Missing8672
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean6908.7703
Minimum12
Maximum13726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T11:00:20.626075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile678.45
Q13583.5
median6858.5
Q310323.25
95-th percentile13071.25
Maximum13726
Range13714
Interquartile range (IQR)6739.75

Descriptive statistics

Standard deviation3946.786
Coefficient of variation (CV)0.57127184
Kurtosis-1.1649169
Mean6908.7703
Median Absolute Deviation (MAD)3385
Skewness-0.022746801
Sum9174847
Variance15577119
MonotonicityNot monotonic
2024-03-18T11:00:20.734889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9504 1
 
< 0.1%
13517 1
 
< 0.1%
10560 1
 
< 0.1%
11306 1
 
< 0.1%
11721 1
 
< 0.1%
13102 1
 
< 0.1%
7660 1
 
< 0.1%
5309 1
 
< 0.1%
8520 1
 
< 0.1%
2849 1
 
< 0.1%
Other values (1318) 1318
 
13.2%
(Missing) 8672
86.7%
ValueCountFrequency (%)
12 1
< 0.1%
31 1
< 0.1%
44 1
< 0.1%
45 1
< 0.1%
54 1
< 0.1%
58 1
< 0.1%
61 1
< 0.1%
62 1
< 0.1%
75 1
< 0.1%
100 1
< 0.1%
ValueCountFrequency (%)
13726 1
< 0.1%
13701 1
< 0.1%
13697 1
< 0.1%
13687 1
< 0.1%
13682 1
< 0.1%
13675 1
< 0.1%
13673 1
< 0.1%
13661 1
< 0.1%
13658 1
< 0.1%
13645 1
< 0.1%

관리번호
Text

MISSING 

Distinct1328
Distinct (%)100.0%
Missing8672
Missing (%)86.7%
Memory size156.2 KiB
2024-03-18T11:00:20.893071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.963102
Min length9

Characters and Unicode

Total characters18543
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1328 ?
Unique (%)100.0%

Sample

1st row2021-인천서구-0267
2nd row2020-인천서구-0207
3rd row2019-인천서구-0202
4th row2019-인천서구-0414
5th row2021-인천서구-3029
ValueCountFrequency (%)
2017-인천서구-0316 1
 
0.1%
2010-인천서구-0042 1
 
0.1%
2017-인천서구-0768 1
 
0.1%
2017-인천서구-0066 1
 
0.1%
2013-인천서구-0447 1
 
0.1%
2020-인천서구-0404 1
 
0.1%
2021-인천서구-0004 1
 
0.1%
2019-인천서구-1602 1
 
0.1%
2021-인천서구-2878 1
 
0.1%
2014-인천서구-0471 1
 
0.1%
Other values (1318) 1318
99.2%
2024-03-18T11:00:21.146531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3046
16.4%
0 2650
14.3%
- 2644
14.3%
1 1686
9.1%
서 1320
7.1%
구 1320
7.1%
인 1316
7.1%
천 1316
7.1%
9 511
 
2.8%
7 494
 
2.7%
Other values (5) 2240
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10627
57.3%
Other Letter 5272
28.4%
Dash Punctuation 2644
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3046
28.7%
0 2650
24.9%
1 1686
15.9%
9 511
 
4.8%
7 494
 
4.6%
8 464
 
4.4%
3 462
 
4.3%
5 448
 
4.2%
6 442
 
4.2%
4 424
 
4.0%
Other Letter
ValueCountFrequency (%)
서 1320
25.0%
구 1320
25.0%
인 1316
25.0%
천 1316
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2644
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13271
71.6%
Hangul 5272
 
28.4%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3046
23.0%
0 2650
20.0%
- 2644
19.9%
1 1686
12.7%
9 511
 
3.9%
7 494
 
3.7%
8 464
 
3.5%
3 462
 
3.5%
5 448
 
3.4%
6 442
 
3.3%
Hangul
ValueCountFrequency (%)
서 1320
25.0%
구 1320
25.0%
인 1316
25.0%
천 1316
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13271
71.6%
Hangul 5272
 
28.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3046
23.0%
0 2650
20.0%
- 2644
19.9%
1 1686
12.7%
9 511
 
3.9%
7 494
 
3.7%
8 464
 
3.5%
3 462
 
3.5%
5 448
 
3.4%
6 442
 
3.3%
Hangul
ValueCountFrequency (%)
서 1320
25.0%
구 1320
25.0%
인 1316
25.0%
천 1316
25.0%

법인또는상호
Text

MISSING 

Distinct1323
Distinct (%)99.6%
Missing8672
Missing (%)86.7%
Memory size156.2 KiB
2024-03-18T11:00:21.420993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length6.7974398
Min length2

Characters and Unicode

Total characters9027
Distinct characters688
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1318 ?
Unique (%)99.2%

Sample

1st row행복맘
2nd row제이티씨
3rd row씨에스씨
4th row다모아MRO
5th row아날로그니트
ValueCountFrequency (%)
주식회사 124
 
7.1%
주 12
 
0.7%
유한회사 5
 
0.3%
ltd 5
 
0.3%
더 4
 
0.2%
co 4
 
0.2%
company 4
 
0.2%
shop 3
 
0.2%
코리아 3
 
0.2%
인천서구점 3
 
0.2%
Other values (1535) 1571
90.4%
2024-03-18T11:00:21.846761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
416
 
4.6%
이 332
 
3.7%
스 276
 
3.1%
) 236
 
2.6%
( 236
 
2.6%
주 188
 
2.1%
사 188
 
2.1%
리 151
 
1.7%
식 144
 
1.6%
회 144
 
1.6%
Other values (678) 6716
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6672
73.9%
Uppercase Letter 714
 
7.9%
Lowercase Letter 662
 
7.3%
Space Separator 416
 
4.6%
Close Punctuation 236
 
2.6%
Open Punctuation 236
 
2.6%
Other Punctuation 40
 
0.4%
Decimal Number 40
 
0.4%
Dash Punctuation 5
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 332
 
5.0%
스 276
 
4.1%
주 188
 
2.8%
사 188
 
2.8%
리 151
 
2.3%
식 144
 
2.2%
회 144
 
2.2%
아 121
 
1.8%
에 104
 
1.6%
트 90
 
1.3%
Other values (609) 4934
74.0%
Uppercase Letter
ValueCountFrequency (%)
A 54
 
7.6%
O 53
 
7.4%
E 53
 
7.4%
N 51
 
7.1%
C 48
 
6.7%
L 44
 
6.2%
S 38
 
5.3%
I 37
 
5.2%
T 37
 
5.2%
M 35
 
4.9%
Other values (16) 264
37.0%
Lowercase Letter
ValueCountFrequency (%)
e 77
11.6%
o 75
11.3%
a 57
 
8.6%
n 47
 
7.1%
r 46
 
6.9%
i 41
 
6.2%
l 41
 
6.2%
t 37
 
5.6%
s 35
 
5.3%
h 28
 
4.2%
Other values (15) 178
26.9%
Decimal Number
ValueCountFrequency (%)
2 14
35.0%
1 9
22.5%
5 5
 
12.5%
3 5
 
12.5%
6 3
 
7.5%
4 3
 
7.5%
8 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 23
57.5%
& 13
32.5%
: 2
 
5.0%
? 1
 
2.5%
# 1
 
2.5%
Space Separator
ValueCountFrequency (%)
416
100.0%
Close Punctuation
ValueCountFrequency (%)
) 236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6674
73.9%
Latin 1376
 
15.2%
Common 975
 
10.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 332
 
5.0%
스 276
 
4.1%
주 188
 
2.8%
사 188
 
2.8%
리 151
 
2.3%
식 144
 
2.2%
회 144
 
2.2%
아 121
 
1.8%
에 104
 
1.6%
트 90
 
1.3%
Other values (608) 4936
74.0%
Latin
ValueCountFrequency (%)
e 77
 
5.6%
o 75
 
5.5%
a 57
 
4.1%
A 54
 
3.9%
O 53
 
3.9%
E 53
 
3.9%
N 51
 
3.7%
C 48
 
3.5%
n 47
 
3.4%
r 46
 
3.3%
Other values (41) 815
59.2%
Common
ValueCountFrequency (%)
416
42.7%
) 236
24.2%
( 236
24.2%
. 23
 
2.4%
2 14
 
1.4%
& 13
 
1.3%
1 9
 
0.9%
5 5
 
0.5%
3 5
 
0.5%
- 5
 
0.5%
Other values (7) 13
 
1.3%
Han
ValueCountFrequency (%)
木 1
50.0%
朴 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6670
73.9%
ASCII 2351
 
26.0%
None 4
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
416
 
17.7%
) 236
 
10.0%
( 236
 
10.0%
e 77
 
3.3%
o 75
 
3.2%
a 57
 
2.4%
A 54
 
2.3%
O 53
 
2.3%
E 53
 
2.3%
N 51
 
2.2%
Other values (58) 1043
44.4%
Hangul
ValueCountFrequency (%)
이 332
 
5.0%
스 276
 
4.1%
주 188
 
2.8%
사 188
 
2.8%
리 151
 
2.3%
식 144
 
2.2%
회 144
 
2.2%
아 121
 
1.8%
에 104
 
1.6%
트 90
 
1.3%
Other values (607) 4932
73.9%
None
ValueCountFrequency (%)
㈜ 4
100.0%
CJK
ValueCountFrequency (%)
木 1
50.0%
朴 1
50.0%

소재지주소
Text

MISSING 

Distinct1320
Distinct (%)99.4%
Missing8672
Missing (%)86.7%
Memory size156.2 KiB
2024-03-18T11:00:22.093174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length52
Mean length38.874247
Min length16

Characters and Unicode

Total characters51625
Distinct characters399
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1312 ?
Unique (%)98.8%

Sample

1st row인천광역시 서구 청마로 124， 510동 1202호 (당하동， 당하KCC스위첸아파트)
2nd row인천광역시 서구 봉오재1로 36， 902동 1503호 (신현동， 루원시티 센트럴타운)
3rd row인천광역시 서구 백범로 681， 5층 2호 (가좌동)
4th row인천광역시 서구 검단로326번길 35-22 (왕길동)
5th row인천광역시 서구 여우재로75번길 3， 102동 409호 (가좌동， 유영아파트)
ValueCountFrequency (%)
인천광역시 1328
 
13.6%
서구 1328
 
13.6%
청라동， 131
 
1.3%
가좌동 123
 
1.3%
청라동 122
 
1.2%
1층 98
 
1.0%
2층 76
 
0.8%
석남동 72
 
0.7%
마전동， 70
 
0.7%
당하동， 63
 
0.6%
Other values (2117) 6357
65.1%
2024-03-18T11:00:22.573118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8534
 
16.5%
1 2286
 
4.4%
동 2041
 
4.0%
， 1833
 
3.6%
0 1642
 
3.2%
2 1606
 
3.1%
서 1469
 
2.8%
시 1381
 
2.7%
인 1359
 
2.6%
광 1353
 
2.6%
Other values (389) 28121
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27745
53.7%
Decimal Number 10361
 
20.1%
Space Separator 8534
 
16.5%
Other Punctuation 1841
 
3.6%
Open Punctuation 1318
 
2.6%
Close Punctuation 1318
 
2.6%
Dash Punctuation 289
 
0.6%
Uppercase Letter 175
 
0.3%
Lowercase Letter 41
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2041
 
7.4%
서 1469
 
5.3%
시 1381
 
5.0%
인 1359
 
4.9%
광 1353
 
4.9%
천 1352
 
4.9%
로 1351
 
4.9%
구 1336
 
4.8%
역 1329
 
4.8%
호 1083
 
3.9%
Other values (335) 13691
49.3%
Uppercase Letter
ValueCountFrequency (%)
B 31
17.7%
C 19
10.9%
A 18
10.3%
K 15
8.6%
S 13
7.4%
E 13
7.4%
I 11
 
6.3%
W 9
 
5.1%
V 8
 
4.6%
D 7
 
4.0%
Other values (11) 31
17.7%
Decimal Number
ValueCountFrequency (%)
1 2286
22.1%
0 1642
15.8%
2 1606
15.5%
3 1046
10.1%
4 907
 
8.8%
5 669
 
6.5%
6 649
 
6.3%
8 634
 
6.1%
7 523
 
5.0%
9 399
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
e 20
48.8%
s 4
 
9.8%
r 4
 
9.8%
d 4
 
9.8%
a 4
 
9.8%
k 1
 
2.4%
p 1
 
2.4%
n 1
 
2.4%
b 1
 
2.4%
c 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
， 1833
99.6%
' 4
 
0.2%
/ 1
 
0.1%
? 1
 
0.1%
& 1
 
0.1%
. 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
8534
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1318
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 289
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27744
53.7%
Common 23662
45.8%
Latin 218
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2041
 
7.4%
서 1469
 
5.3%
시 1381
 
5.0%
인 1359
 
4.9%
광 1353
 
4.9%
천 1352
 
4.9%
로 1351
 
4.9%
구 1336
 
4.8%
역 1329
 
4.8%
호 1083
 
3.9%
Other values (334) 13690
49.3%
Latin
ValueCountFrequency (%)
B 31
14.2%
e 20
 
9.2%
C 19
 
8.7%
A 18
 
8.3%
K 15
 
6.9%
S 13
 
6.0%
E 13
 
6.0%
I 11
 
5.0%
W 9
 
4.1%
V 8
 
3.7%
Other values (23) 61
28.0%
Common
ValueCountFrequency (%)
8534
36.1%
1 2286
 
9.7%
， 1833
 
7.7%
0 1642
 
6.9%
2 1606
 
6.8%
( 1318
 
5.6%
) 1318
 
5.6%
3 1046
 
4.4%
4 907
 
3.8%
5 669
 
2.8%
Other values (11) 2503
 
10.6%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27744
53.7%
ASCII 22045
42.7%
None 1833
 
3.6%
Number Forms 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8534
38.7%
1 2286
 
10.4%
0 1642
 
7.4%
2 1606
 
7.3%
( 1318
 
6.0%
) 1318
 
6.0%
3 1046
 
4.7%
4 907
 
4.1%
5 669
 
3.0%
6 649
 
2.9%
Other values (41) 2070
 
9.4%
Hangul
ValueCountFrequency (%)
동 2041
 
7.4%
서 1469
 
5.3%
시 1381
 
5.0%
인 1359
 
4.9%
광 1353
 
4.9%
천 1352
 
4.9%
로 1351
 
4.9%
구 1336
 
4.8%
역 1329
 
4.8%
호 1083
 
3.9%
Other values (334) 13690
49.3%
None
ValueCountFrequency (%)
， 1833
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

취급품목
Text

MISSING 

Distinct147
Distinct (%)11.1%
Missing8672
Missing (%)86.7%
Memory size156.2 KiB
2024-03-18T11:00:22.715235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length84
Mean length9.5338855
Min length1

Characters and Unicode

Total characters12661
Distinct characters51
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

Unique95 ?
Unique (%)7.2%

Sample

1st row종합몰 교육/도서/완구/오락 가전 컴퓨터/사무용품 가구/수납용품 건강/식품 자동차/자동차용품 의류/패션/잡화/뷰티 레져/여행/공연
2nd row종합몰
3rd row가전 컴퓨터/사무용품
4th row기타
5th row의류/패션/잡화/뷰티
ValueCountFrequency (%)
종합몰 554
27.5%
의류/패션/잡화/뷰티 439
21.8%
기타 305
15.1%
건강/식품 165
 
8.2%
가구/수납용품 110
 
5.5%
교육/도서/완구/오락 98
 
4.9%
컴퓨터/사무용품 89
 
4.4%
자동차/자동차용품 81
 
4.0%
가전 79
 
3.9%
레져/여행/공연 56
 
2.8%
Other values (3) 38
 
1.9%
2024-03-18T11:00:22.978590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2181
 
17.2%
686
 
5.4%
합 554
 
4.4%
종 554
 
4.4%
몰 554
 
4.4%
품 477
 
3.8%
류 439
 
3.5%
의 439
 
3.5%
패 439
 
3.5%
션 439
 
3.5%
Other values (41) 5899
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9788
77.3%
Other Punctuation 2181
 
17.2%
Space Separator 686
 
5.4%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 554
 
5.7%
종 554
 
5.7%
몰 554
 
5.7%
품 477
 
4.9%
류 439
 
4.5%
의 439
 
4.5%
패 439
 
4.5%
션 439
 
4.5%
잡 439
 
4.5%
뷰 439
 
4.5%
Other values (38) 5015
51.2%
Other Punctuation
ValueCountFrequency (%)
/ 2181
100.0%
Space Separator
ValueCountFrequency (%)
686
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9788
77.3%
Common 2873
 
22.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 554
 
5.7%
종 554
 
5.7%
몰 554
 
5.7%
품 477
 
4.9%
류 439
 
4.5%
의 439
 
4.5%
패 439
 
4.5%
션 439
 
4.5%
잡 439
 
4.5%
뷰 439
 
4.5%
Other values (38) 5015
51.2%
Common
ValueCountFrequency (%)
/ 2181
75.9%
686
 
23.9%
- 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9788
77.3%
ASCII 2873
 
22.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 2181
75.9%
686
 
23.9%
- 6
 
0.2%
Hangul
ValueCountFrequency (%)
합 554
 
5.7%
종 554
 
5.7%
몰 554
 
5.7%
품 477
 
4.9%
류 439
 
4.5%
의 439
 
4.5%
패 439
 
4.5%
션 439
 
4.5%
잡 439
 
4.5%
뷰 439
 
4.5%
Other values (38) 5015
51.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-09-01 00:00:00
Maximum2022-09-01 00:00:00
2024-03-18T11:00:23.062273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:00:23.128650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T11:00:13.395767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-18T11:00:20.323596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:00:20.410832image/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.
2024-03-18T11:00:20.508649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호관리번호법인또는상호소재지주소취급품목데이터기준일자
47898<NA><NA><NA><NA><NA>2022-09-01
99610<NA><NA><NA><NA><NA>2022-09-01
94607<NA><NA><NA><NA><NA>2022-09-01
41981<NA><NA><NA><NA><NA>2022-09-01
79848<NA><NA><NA><NA><NA>2022-09-01
27519<NA><NA><NA><NA><NA>2022-09-01
87585<NA><NA><NA><NA><NA>2022-09-01
94524<NA><NA><NA><NA><NA>2022-09-01
508750872021-인천서구-0267행복맘인천광역시 서구 청마로 124， 510동 1202호 (당하동， 당하KCC스위첸아파트)종합몰 교육/도서/완구/오락 가전 컴퓨터/사무용품 가구/수납용품 건강/식품 자동차/자동차용품 의류/패션/잡화/뷰티 레져/여행/공연2022-09-01
62813<NA><NA><NA><NA><NA>2022-09-01
번호관리번호법인또는상호소재지주소취급품목데이터기준일자
65832<NA><NA><NA><NA><NA>2022-09-01
64450<NA><NA><NA><NA><NA>2022-09-01
139213922022-인천서구-1115주식회사 더담다인천광역시 서구 청라커낼로260번길 7-19， 3층 305호 (청라동)종합몰 교육/도서/완구/오락 가전 컴퓨터/사무용품 의류/패션/잡화/뷰티 레져/여행/공연 성인/성인용품 건강/식품 상품권 자동차/자동차용품 가구/수납용품2022-09-01
30227<NA><NA><NA><NA><NA>2022-09-01
99989<NA><NA><NA><NA><NA>2022-09-01
74278<NA><NA><NA><NA><NA>2022-09-01
12913129132014-인천서구-0450릴라스토리인천광역시 서구 여우재로82번길 15-9， 201호 (가좌동)기타2022-09-01
70942<NA><NA><NA><NA><NA>2022-09-01
40649<NA><NA><NA><NA><NA>2022-09-01
10751107512018-인천서구-0238해머스토어인천광역시 서구 완정로64번길 7 (마전동， 영남탑스빌아파트)종합몰2022-09-01

Duplicate rows

Most frequently occurring

번호관리번호법인또는상호소재지주소취급품목데이터기준일자# duplicates
0<NA><NA><NA><NA><NA>2022-09-018672