Overview

Dataset statistics

Number of variables5
Number of observations1325
Missing cells9
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.5 KiB
Average record size in memory42.1 B

Variable types

Numeric2
Text3

Dataset

Description요청한 서울특별시 성북구 관내 등록업소로 운영중인 카페(휴게음식점)의 업소명, 주소(지번,도로명),규모 현황을 제공합니다.
Author서울특별시 성북구
URLhttps://www.data.go.kr/data/15098961/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:26:30.797519
Analysis finished2023-12-12 12:26:32.482684
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1325
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean663
Minimum1
Maximum1325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2023-12-12T21:26:32.592392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile67.2
Q1332
median663
Q3994
95-th percentile1258.8
Maximum1325
Range1324
Interquartile range (IQR)662

Descriptive statistics

Standard deviation382.63886
Coefficient of variation (CV)0.57713252
Kurtosis-1.2
Mean663
Median Absolute Deviation (MAD)331
Skewness0
Sum878475
Variance146412.5
MonotonicityStrictly increasing
2023-12-12T21:26:32.794906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
891 1
 
0.1%
889 1
 
0.1%
888 1
 
0.1%
887 1
 
0.1%
886 1
 
0.1%
885 1
 
0.1%
884 1
 
0.1%
883 1
 
0.1%
882 1
 
0.1%
Other values (1315) 1315
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1325 1
0.1%
1324 1
0.1%
1323 1
0.1%
1322 1
0.1%
1321 1
0.1%
1320 1
0.1%
1319 1
0.1%
1318 1
0.1%
1317 1
0.1%
1316 1
0.1%

업소명
Text

Distinct1309
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-12T21:26:33.146838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length8.7290566
Min length1

Characters and Unicode

Total characters11566
Distinct characters676
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

Unique1295 ?
Unique (%)97.7%

Sample

1st row성지다방
2nd row삼선
3rd row솔커피숍
4th row그린
5th row사보텐(saboten)
ValueCountFrequency (%)
세븐일레븐 38
 
1.9%
gs25 24
 
1.2%
씨유 24
 
1.2%
성신여대점 19
 
1.0%
카페 19
 
1.0%
coffee 15
 
0.8%
미아점 14
 
0.7%
cafe 13
 
0.7%
정릉점 12
 
0.6%
이디야 11
 
0.6%
Other values (1468) 1783
90.4%
2023-12-12T21:26:33.668039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
650
 
5.6%
점 553
 
4.8%
스 320
 
2.8%
이 263
 
2.3%
( 243
 
2.1%
) 243
 
2.1%
피 210
 
1.8%
대 191
 
1.7%
성 165
 
1.4%
커 160
 
1.4%
Other values (666) 8568
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8633
74.6%
Lowercase Letter 754
 
6.5%
Uppercase Letter 716
 
6.2%
Space Separator 650
 
5.6%
Decimal Number 270
 
2.3%
Open Punctuation 244
 
2.1%
Close Punctuation 244
 
2.1%
Other Punctuation 46
 
0.4%
Dash Punctuation 7
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 553
 
6.4%
스 320
 
3.7%
이 263
 
3.0%
피 210
 
2.4%
대 191
 
2.2%
성 165
 
1.9%
커 160
 
1.9%
리 136
 
1.6%
아 135
 
1.6%
카 126
 
1.5%
Other values (587) 6374
73.8%
Lowercase Letter
ValueCountFrequency (%)
e 121
16.0%
o 76
 
10.1%
a 71
 
9.4%
f 66
 
8.8%
i 43
 
5.7%
c 41
 
5.4%
t 38
 
5.0%
n 38
 
5.0%
r 35
 
4.6%
s 31
 
4.1%
Other values (16) 194
25.7%
Uppercase Letter
ValueCountFrequency (%)
S 91
12.7%
C 91
12.7%
G 68
 
9.5%
E 62
 
8.7%
A 42
 
5.9%
P 42
 
5.9%
U 31
 
4.3%
I 31
 
4.3%
O 30
 
4.2%
F 28
 
3.9%
Other values (14) 200
27.9%
Other Punctuation
ValueCountFrequency (%)
. 10
21.7%
& 9
19.6%
' 6
13.0%
/ 6
13.0%
: 5
10.9%
, 5
10.9%
? 1
 
2.2%
# 1
 
2.2%
· 1
 
2.2%
＆ 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
2 96
35.6%
5 78
28.9%
1 23
 
8.5%
0 18
 
6.7%
3 17
 
6.3%
4 16
 
5.9%
6 6
 
2.2%
8 6
 
2.2%
9 5
 
1.9%
7 5
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 243
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 243
99.6%
] 1
 
0.4%
Space Separator
ValueCountFrequency (%)
650
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8629
74.6%
Latin 1470
 
12.7%
Common 1463
 
12.6%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 553
 
6.4%
스 320
 
3.7%
이 263
 
3.0%
피 210
 
2.4%
대 191
 
2.2%
성 165
 
1.9%
커 160
 
1.9%
리 136
 
1.6%
아 135
 
1.6%
카 126
 
1.5%
Other values (583) 6370
73.8%
Latin
ValueCountFrequency (%)
e 121
 
8.2%
S 91
 
6.2%
C 91
 
6.2%
o 76
 
5.2%
a 71
 
4.8%
G 68
 
4.6%
f 66
 
4.5%
E 62
 
4.2%
i 43
 
2.9%
A 42
 
2.9%
Other values (40) 739
50.3%
Common
ValueCountFrequency (%)
650
44.4%
( 243
 
16.6%
) 243
 
16.6%
2 96
 
6.6%
5 78
 
5.3%
1 23
 
1.6%
0 18
 
1.2%
3 17
 
1.2%
4 16
 
1.1%
. 10
 
0.7%
Other values (19) 69
 
4.7%
Han
ValueCountFrequency (%)
月 1
25.0%
緣 1
25.0%
堂 1
25.0%
蘭 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8629
74.6%
ASCII 2931
 
25.3%
CJK 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
650
22.2%
( 243
 
8.3%
) 243
 
8.3%
e 121
 
4.1%
2 96
 
3.3%
S 91
 
3.1%
C 91
 
3.1%
5 78
 
2.7%
o 76
 
2.6%
a 71
 
2.4%
Other values (67) 1171
40.0%
Hangul
ValueCountFrequency (%)
점 553
 
6.4%
스 320
 
3.7%
이 263
 
3.0%
피 210
 
2.4%
대 191
 
2.2%
성 165
 
1.9%
커 160
 
1.9%
리 136
 
1.6%
아 135
 
1.6%
카 126
 
1.5%
Other values (583) 6370
73.8%
CJK
ValueCountFrequency (%)
月 1
25.0%
緣 1
25.0%
堂 1
25.0%
蘭 1
25.0%
None
ValueCountFrequency (%)
· 1
50.0%
＆ 1
50.0%

소재지(도로명)
Text

Distinct1265
Distinct (%)96.1%
Missing9
Missing (%)0.7%
Memory size10.5 KiB
2023-12-12T21:26:34.045757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length53
Mean length33.18769
Min length9

Characters and Unicode

Total characters43675
Distinct characters321
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1237 ?
Unique (%)94.0%

Sample

1st row서울특별시 성북구 보문로18길 1 (보문동4가)
2nd row서울특별시 성북구 오패산로13길 33, 지하1층 (하월곡동)
3rd row서울특별시 성북구 인촌로24길 48 (안암동5가)
4th row서울특별시 성북구 고려대로27길 18, 1층 (안암동5가)
5th row서울특별시 성북구 화랑로 248 (석관동)
ValueCountFrequency (%)
서울특별시 1315
 
15.7%
성북구 1315
 
15.7%
1층 555
 
6.6%
정릉동 161
 
1.9%
길음동 137
 
1.6%
하월곡동 136
 
1.6%
안암동5가 116
 
1.4%
동소문로 106
 
1.3%
지하1층 100
 
1.2%
장위동 89
 
1.1%
Other values (1286) 4362
52.0%
2023-12-12T21:26:34.494800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7078
 
16.2%
1 2190
 
5.0%
동 1871
 
4.3%
북 1470
 
3.4%
성 1463
 
3.3%
( 1369
 
3.1%
) 1369
 
3.1%
서 1345
 
3.1%
시 1333
 
3.1%
구 1322
 
3.0%
Other values (311) 22865
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25538
58.5%
Space Separator 7078
 
16.2%
Decimal Number 6739
 
15.4%
Open Punctuation 1369
 
3.1%
Close Punctuation 1369
 
3.1%
Other Punctuation 1279
 
2.9%
Dash Punctuation 187
 
0.4%
Uppercase Letter 84
 
0.2%
Math Symbol 24
 
0.1%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1871
 
7.3%
북 1470
 
5.8%
성 1463
 
5.7%
서 1345
 
5.3%
시 1333
 
5.2%
구 1322
 
5.2%
울 1317
 
5.2%
별 1316
 
5.2%
특 1315
 
5.1%
로 1288
 
5.0%
Other values (269) 11498
45.0%
Uppercase Letter
ValueCountFrequency (%)
B 35
41.7%
K 8
 
9.5%
S 8
 
9.5%
A 7
 
8.3%
R 4
 
4.8%
E 4
 
4.8%
C 3
 
3.6%
V 2
 
2.4%
J 2
 
2.4%
I 2
 
2.4%
Other values (7) 9
 
10.7%
Decimal Number
ValueCountFrequency (%)
1 2190
32.5%
2 1000
14.8%
3 675
 
10.0%
5 564
 
8.4%
4 546
 
8.1%
0 455
 
6.8%
6 397
 
5.9%
7 380
 
5.6%
8 269
 
4.0%
9 263
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 1267
99.1%
. 6
 
0.5%
@ 3
 
0.2%
: 2
 
0.2%
& 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 22
91.7%
< 1
 
4.2%
> 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
7078
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1369
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1369
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 187
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25538
58.5%
Common 18050
41.3%
Latin 87
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1871
 
7.3%
북 1470
 
5.8%
성 1463
 
5.7%
서 1345
 
5.3%
시 1333
 
5.2%
구 1322
 
5.2%
울 1317
 
5.2%
별 1316
 
5.2%
특 1315
 
5.1%
로 1288
 
5.0%
Other values (269) 11498
45.0%
Common
ValueCountFrequency (%)
7078
39.2%
1 2190
 
12.1%
( 1369
 
7.6%
) 1369
 
7.6%
, 1267
 
7.0%
2 1000
 
5.5%
3 675
 
3.7%
5 564
 
3.1%
4 546
 
3.0%
0 455
 
2.5%
Other values (13) 1537
 
8.5%
Latin
ValueCountFrequency (%)
B 35
40.2%
K 8
 
9.2%
S 8
 
9.2%
A 7
 
8.0%
R 4
 
4.6%
E 4
 
4.6%
C 3
 
3.4%
V 2
 
2.3%
J 2
 
2.3%
I 2
 
2.3%
Other values (9) 12
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25538
58.5%
ASCII 18132
41.5%
CJK Compat 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7078
39.0%
1 2190
 
12.1%
( 1369
 
7.6%
) 1369
 
7.6%
, 1267
 
7.0%
2 1000
 
5.5%
3 675
 
3.7%
5 564
 
3.1%
4 546
 
3.0%
0 455
 
2.5%
Other values (31) 1619
 
8.9%
Hangul
ValueCountFrequency (%)
동 1871
 
7.3%
북 1470
 
5.8%
성 1463
 
5.7%
서 1345
 
5.3%
시 1333
 
5.2%
구 1322
 
5.2%
울 1317
 
5.2%
별 1316
 
5.2%
특 1315
 
5.1%
로 1288
 
5.0%
Other values (269) 11498
45.0%
CJK Compat
ValueCountFrequency (%)
㎡ 5
100.0%

소재지(지번)
Text

Distinct1195
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-12T21:26:34.714258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length25.009811
Min length9

Characters and Unicode

Total characters33138
Distinct characters291
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1123 ?
Unique (%)84.8%

Sample

1st row서울특별시 성북구 보문동4가 78-4
2nd row서울특별시 성북구 삼선동1가 21-1 ,16-1
3rd row서울특별시 성북구 하월곡동 74-11
4th row서울특별시 성북구 하월곡동 77-370
5th row서울특별시 성북구 안암동5가 102-37
ValueCountFrequency (%)
서울특별시 1323
20.7%
성북구 1323
20.7%
1층 215
 
3.4%
정릉동 169
 
2.6%
길음동 159
 
2.5%
하월곡동 152
 
2.4%
안암동5가 126
 
2.0%
장위동 92
 
1.4%
종암동 88
 
1.4%
석관동 71
 
1.1%
Other values (1364) 2678
41.9%
2023-12-12T21:26:35.114074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6338
19.1%
1 1793
 
5.4%
동 1613
 
4.9%
성 1410
 
4.3%
북 1392
 
4.2%
시 1336
 
4.0%
서 1332
 
4.0%
구 1329
 
4.0%
울 1325
 
4.0%
특 1323
 
4.0%
Other values (281) 13947
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18958
57.2%
Decimal Number 6588
 
19.9%
Space Separator 6338
 
19.1%
Dash Punctuation 1026
 
3.1%
Uppercase Letter 62
 
0.2%
Open Punctuation 56
 
0.2%
Close Punctuation 56
 
0.2%
Other Punctuation 35
 
0.1%
Math Symbol 15
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1613
 
8.5%
성 1410
 
7.4%
북 1392
 
7.3%
시 1336
 
7.0%
서 1332
 
7.0%
구 1329
 
7.0%
울 1325
 
7.0%
특 1323
 
7.0%
별 1323
 
7.0%
가 555
 
2.9%
Other values (243) 6020
31.8%
Uppercase Letter
ValueCountFrequency (%)
B 17
27.4%
S 6
 
9.7%
E 6
 
9.7%
A 5
 
8.1%
K 5
 
8.1%
R 4
 
6.5%
G 3
 
4.8%
P 3
 
4.8%
C 2
 
3.2%
J 2
 
3.2%
Other values (5) 9
14.5%
Decimal Number
ValueCountFrequency (%)
1 1793
27.2%
2 1043
15.8%
3 670
 
10.2%
0 554
 
8.4%
5 533
 
8.1%
4 509
 
7.7%
6 460
 
7.0%
8 387
 
5.9%
7 382
 
5.8%
9 257
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 32
91.4%
@ 2
 
5.7%
. 1
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 11
73.3%
> 2
 
13.3%
< 2
 
13.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
o 1
25.0%
p 1
25.0%
Space Separator
ValueCountFrequency (%)
6338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1026
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18958
57.2%
Common 14114
42.6%
Latin 66
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1613
 
8.5%
성 1410
 
7.4%
북 1392
 
7.3%
시 1336
 
7.0%
서 1332
 
7.0%
구 1329
 
7.0%
울 1325
 
7.0%
특 1323
 
7.0%
별 1323
 
7.0%
가 555
 
2.9%
Other values (243) 6020
31.8%
Common
ValueCountFrequency (%)
6338
44.9%
1 1793
 
12.7%
2 1043
 
7.4%
- 1026
 
7.3%
3 670
 
4.7%
0 554
 
3.9%
5 533
 
3.8%
4 509
 
3.6%
6 460
 
3.3%
8 387
 
2.7%
Other values (10) 801
 
5.7%
Latin
ValueCountFrequency (%)
B 17
25.8%
S 6
 
9.1%
E 6
 
9.1%
A 5
 
7.6%
K 5
 
7.6%
R 4
 
6.1%
G 3
 
4.5%
P 3
 
4.5%
C 2
 
3.0%
J 2
 
3.0%
Other values (8) 13
19.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18958
57.2%
ASCII 14180
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6338
44.7%
1 1793
 
12.6%
2 1043
 
7.4%
- 1026
 
7.2%
3 670
 
4.7%
0 554
 
3.9%
5 533
 
3.8%
4 509
 
3.6%
6 460
 
3.2%
8 387
 
2.7%
Other values (28) 867
 
6.1%
Hangul
ValueCountFrequency (%)
동 1613
 
8.5%
성 1410
 
7.4%
북 1392
 
7.3%
시 1336
 
7.0%
서 1332
 
7.0%
구 1329
 
7.0%
울 1325
 
7.0%
특 1323
 
7.0%
별 1323
 
7.0%
가 555
 
2.9%
Other values (243) 6020
31.8%

건물내부면적
Real number (ℝ)

Distinct769
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.032068
Minimum0
Maximum474.75
Zeros11
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2023-12-12T21:26:35.267291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q113.2
median28.2
Q353.19
95-th percentile143.006
Maximum474.75
Range474.75
Interquartile range (IQR)39.99

Descriptive statistics

Standard deviation56.594464
Coefficient of variation (CV)1.2567592
Kurtosis15.735796
Mean45.032068
Median Absolute Deviation (MAD)18.3
Skewness3.4811502
Sum59667.49
Variance3202.9334
MonotonicityNot monotonic
2023-12-12T21:26:35.423218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.6 58
 
4.4%
3.3 51
 
3.8%
9.9 29
 
2.2%
10.0 28
 
2.1%
20.0 17
 
1.3%
33.0 17
 
1.3%
26.4 14
 
1.1%
19.8 14
 
1.1%
16.5 14
 
1.1%
5.0 14
 
1.1%
Other values (759) 1069
80.7%
ValueCountFrequency (%)
0.0 11
0.8%
0.5 1
 
0.1%
1.0 4
 
0.3%
1.2 1
 
0.1%
1.5 1
 
0.1%
1.65 1
 
0.1%
1.7 1
 
0.1%
2.0 3
 
0.2%
2.32 1
 
0.1%
2.95 1
 
0.1%
ValueCountFrequency (%)
474.75 1
0.1%
462.0 1
0.1%
429.0 1
0.1%
398.53 1
0.1%
394.9 1
0.1%
375.19 1
0.1%
374.13 1
0.1%
362.39 1
0.1%
356.07 1
0.1%
350.06 1
0.1%

Interactions

2023-12-12T21:26:31.953027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:31.689280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:32.100238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:31.821689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:26:35.508154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건물내부면적
연번1.0000.000
건물내부면적0.0001.000
2023-12-12T21:26:35.594569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건물내부면적
연번1.000-0.060
건물내부면적-0.0601.000

Missing values

2023-12-12T21:26:32.272160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:26:32.421675image/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

연번업소명소재지(도로명)소재지(지번)건물내부면적
01성지다방서울특별시 성북구 보문로18길 1 (보문동4가)서울특별시 성북구 보문동4가 78-463.55
12삼선<NA>서울특별시 성북구 삼선동1가 21-1 ,16-166.55
23솔커피숍서울특별시 성북구 오패산로13길 33, 지하1층 (하월곡동)서울특별시 성북구 하월곡동 74-1177.23
34그린<NA>서울특별시 성북구 하월곡동 77-37084.6
45사보텐(saboten)서울특별시 성북구 인촌로24길 48 (안암동5가)서울특별시 성북구 안암동5가 102-37136.51
56보헤미안커피하우스서울특별시 성북구 고려대로27길 18, 1층 (안암동5가)서울특별시 성북구 안암동5가 12-71 1층72.15
67새소망서울특별시 성북구 화랑로 248 (석관동)서울특별시 성북구 석관동 349-1103.4
78피자헛동덕여대점서울특별시 성북구 화랑로 102 (하월곡동)서울특별시 성북구 하월곡동 16-377.19
89일번가커피숍서울특별시 성북구 보문로 62-10 (보문동7가)서울특별시 성북구 보문동7가 134.4
910신현분식서울특별시 성북구 오패산로3가길 26-9, 2층 (하월곡동)서울특별시 성북구 하월곡동 90-159151.4
연번업소명소재지(도로명)소재지(지번)건물내부면적
13151316GS25 석관미소점서울특별시 성북구 돌곶이로8바길 39, 1층 (석관동)서울특별시 성북구 석관동 67-183.3
13161317크로플로(길음뉴타운점)서울특별시 성북구 정릉로 307, 상가동 124,123 일부호 (정릉동, 길음뉴타운10단지)서울특별시 성북구 정릉동 1034 길음뉴타운10단지80.0
13171318감탄강정 팔공분식서울특별시 성북구 동소문로 315, 현대백화점미아점 지하1층 (길음동)서울특별시 성북구 길음동 20-1 현대백화점미아점 지하1층15.0
13181319파파밸리서울특별시 성북구 동소문로 315, 현대백화점미아점 지하1층 (길음동)서울특별시 성북구 길음동 20-1 현대백화점미아점0.0
13191320마이호밀서울특별시 성북구 종암로27길 13, 도원프라자 1층 106호 (종암동)서울특별시 성북구 종암동 80-1 도원프라자 1층 106호23.18
13201321르아브르서울특별시 성북구 서경로 102, 지하1층 (정릉동)서울특별시 성북구 정릉동 266-41544.2
13211322세븐일레븐 성북스타클래스점서울특별시 성북구 화랑로 76, 코업스타클래스 제1층 제101-2호 (하월곡동)서울특별시 성북구 하월곡동 46-73 코업스타클래스 제1층 101-2호10.0
13221323달빛 스테이서울특별시 성북구 북악산로31길 39, 1층 (종암동)서울특별시 성북구 종암동 23-2726.4
13231324파워FIT점핑서울특별시 성북구 동소문로 22, 삼혜빌딩 3층 (동소문동2가)서울특별시 성북구 동소문동2가 224 삼혜빌딩40.0
13241325아싸비어 정릉점서울특별시 성북구 보국문로 167, 지1층 4호 (정릉동, 산장아파트)서울특별시 성북구 정릉동 780 산장아파트6.6