Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory996.1 KiB
Average record size in memory102.0 B

Variable types

Numeric5
Categorical5
Text1

Dataset

Description기준_년분기_코드,상권_구분_코드,상권_구분_코드_명,상권_코드,상권_코드_명,상권_변화_지표,상권_변화_지표_명,운영_영업_개월_평균,폐업_영업_개월_평균,서울_운영_영업_개월_평균,서울_폐업_영업_개월_평균
Author서울신용보증재단
URLhttps://data.seoul.go.kr/dataList/OA-15576/S/1/datasetView.do

Alerts

상권_변화_지표_명 is highly overall correlated with 폐업_영업_개월_평균 and 1 other fieldsHigh correlation
상권_구분_코드 is highly overall correlated with 상권_코드 and 1 other fieldsHigh correlation
상권_변화_지표 is highly overall correlated with 폐업_영업_개월_평균 and 1 other fieldsHigh correlation
상권_구분_코드_명 is highly overall correlated with 상권_코드 and 1 other fieldsHigh correlation
기준_년분기_코드 is highly overall correlated with 서울_운영_영업_개월_평균 and 1 other fieldsHigh correlation
상권_코드 is highly overall correlated with 상권_구분_코드 and 1 other fieldsHigh correlation
폐업_영업_개월_평균 is highly overall correlated with 상권_변화_지표 and 1 other fieldsHigh correlation
서울_운영_영업_개월_평균 is highly overall correlated with 기준_년분기_코드 and 1 other fieldsHigh correlation
서울_폐업_영업_개월_평균 is highly overall correlated with 기준_년분기_코드 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-05-04 05:17:16.058648
Analysis finished2024-05-04 05:17:31.640987
Duration15.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준_년분기_코드
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20212.399
Minimum20191
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T05:17:31.788129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191
5-th percentile20192
Q120201
median20212
Q320223
95-th percentile20233
Maximum20234
Range43
Interquartile range (IQR)22

Descriptive statistics

Standard deviation14.203823
Coefficient of variation (CV)0.00070272819
Kurtosis-1.2877848
Mean20212.399
Median Absolute Deviation (MAD)11
Skewness0.015016429
Sum2.0212399 × 108
Variance201.74857
MonotonicityNot monotonic
2024-05-04T05:17:32.043385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20202 539
 
5.4%
20192 532
 
5.3%
20201 523
 
5.2%
20194 510
 
5.1%
20222 507
 
5.1%
20232 504
 
5.0%
20233 503
 
5.0%
20204 502
 
5.0%
20212 500
 
5.0%
20211 500
 
5.0%
Other values (10) 4880
48.8%
ValueCountFrequency (%)
20191 498
5.0%
20192 532
5.3%
20193 467
4.7%
20194 510
5.1%
20201 523
5.2%
20202 539
5.4%
20203 477
4.8%
20204 502
5.0%
20211 500
5.0%
20212 500
5.0%
ValueCountFrequency (%)
20234 494
4.9%
20233 503
5.0%
20232 504
5.0%
20231 500
5.0%
20224 486
4.9%
20223 488
4.9%
20222 507
5.1%
20221 481
4.8%
20214 494
4.9%
20213 495
5.0%

상권_구분_코드
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A
6571 
R
1893 
D
1503 
U
 
33

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 6571
65.7%
R 1893
 
18.9%
D 1503
 
15.0%
U 33
 
0.3%

Length

2024-05-04T05:17:32.349268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:17:32.689896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 6571
65.7%
r 1893
 
18.9%
d 1503
 
15.0%
u 33
 
0.3%

상권_구분_코드_명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
골목상권
6571 
전통시장
1893 
발달상권
1503 
관광특구
 
33

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row골목상권
2nd row골목상권
3rd row골목상권
4th row골목상권
5th row전통시장

Common Values

ValueCountFrequency (%)
골목상권 6571
65.7%
전통시장 1893
 
18.9%
발달상권 1503
 
15.0%
관광특구 33
 
0.3%

Length

2024-05-04T05:17:33.053754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:17:33.392483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골목상권 6571
65.7%
전통시장 1893
 
18.9%
발달상권 1503
 
15.0%
관광특구 33
 
0.3%

상권_코드
Real number (ℝ)

HIGH CORRELATION 

Distinct1648
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3115338.8
Minimum3001491
Maximum3130327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T05:17:33.806600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3001491
5-th percentile3110083
Q13110411
median3110820
Q33120149
95-th percentile3130239
Maximum3130327
Range128836
Interquartile range (IQR)9738

Descriptive statistics

Standard deviation10150.589
Coefficient of variation (CV)0.0032582618
Kurtosis50.156417
Mean3115338.8
Median Absolute Deviation (MAD)560
Skewness-4.1209154
Sum3.1153388 × 1010
Variance1.0303446 × 108
MonotonicityNot monotonic
2024-05-04T05:17:34.304024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3110681 13
 
0.1%
3110185 13
 
0.1%
3110276 13
 
0.1%
3130184 13
 
0.1%
3110440 13
 
0.1%
3120147 13
 
0.1%
3110451 12
 
0.1%
3120092 12
 
0.1%
3110536 12
 
0.1%
3120097 12
 
0.1%
Other values (1638) 9874
98.7%
ValueCountFrequency (%)
3001491 2
 
< 0.1%
3001492 9
0.1%
3001493 3
 
< 0.1%
3001494 9
0.1%
3001495 6
0.1%
3001496 4
< 0.1%
3110001 8
0.1%
3110002 4
< 0.1%
3110003 3
 
< 0.1%
3110004 6
0.1%
ValueCountFrequency (%)
3130327 8
0.1%
3130326 7
0.1%
3130325 6
0.1%
3130324 8
0.1%
3130323 5
0.1%
3130322 6
0.1%
3130321 10
0.1%
3130320 3
 
< 0.1%
3130319 6
0.1%
3130318 4
 
< 0.1%

상권_코드_명
Text

Distinct1648
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T05:17:34.931868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length7.4898
Min length2

Characters and Unicode

Total characters74898
Distinct characters447
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.1%

Sample

1st row월곡역 4번
2nd row오류동역 4번
3rd row오금공원(오주중학교)
4th row보라매역 4번
5th row강북종합전통시장(강북종합골목시장)
ValueCountFrequency (%)
1번 496
 
3.8%
2번 341
 
2.6%
4번 323
 
2.5%
3번 318
 
2.4%
5번 147
 
1.1%
6번 119
 
0.9%
7번 95
 
0.7%
8번 85
 
0.7%
골목형상점가 81
 
0.6%
상점가 50
 
0.4%
Other values (1515) 10936
84.2%
2024-05-04T05:17:36.134181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
역 3374
 
4.5%
2991
 
4.0%
번 2220
 
3.0%
장 2201
 
2.9%
동 2159
 
2.9%
시 2103
 
2.8%
교 1840
 
2.5%
학 1703
 
2.3%
( 1385
 
1.8%
) 1385
 
1.8%
Other values (437) 53537
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65319
87.2%
Decimal Number 3249
 
4.3%
Space Separator 2991
 
4.0%
Open Punctuation 1385
 
1.8%
Close Punctuation 1385
 
1.8%
Uppercase Letter 322
 
0.4%
Other Punctuation 190
 
0.3%
Lowercase Letter 33
 
< 0.1%
Connector Punctuation 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 3374
 
5.2%
번 2220
 
3.4%
장 2201
 
3.4%
동 2159
 
3.3%
시 2103
 
3.2%
교 1840
 
2.8%
학 1703
 
2.6%
대 1238
 
1.9%
등 1198
 
1.8%
신 1139
 
1.7%
Other values (399) 46144
70.6%
Uppercase Letter
ValueCountFrequency (%)
K 56
17.4%
B 38
11.8%
T 36
11.2%
C 30
9.3%
G 27
8.4%
D 23
7.1%
H 21
 
6.5%
N 21
 
6.5%
I 20
 
6.2%
S 17
 
5.3%
Other values (4) 33
10.2%
Decimal Number
ValueCountFrequency (%)
1 930
28.6%
2 586
18.0%
3 501
15.4%
4 487
15.0%
5 229
 
7.0%
6 166
 
5.1%
7 117
 
3.6%
8 110
 
3.4%
9 81
 
2.5%
0 42
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 143
75.3%
. 21
 
11.1%
& 12
 
6.3%
? 9
 
4.7%
! 5
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
a 12
36.4%
t 6
18.2%
m 6
18.2%
e 6
18.2%
h 3
 
9.1%
Space Separator
ValueCountFrequency (%)
2991
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1385
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1385
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65319
87.2%
Common 9224
 
12.3%
Latin 355
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 3374
 
5.2%
번 2220
 
3.4%
장 2201
 
3.4%
동 2159
 
3.3%
시 2103
 
3.2%
교 1840
 
2.8%
학 1703
 
2.6%
대 1238
 
1.9%
등 1198
 
1.8%
신 1139
 
1.7%
Other values (399) 46144
70.6%
Common
ValueCountFrequency (%)
2991
32.4%
( 1385
15.0%
) 1385
15.0%
1 930
 
10.1%
2 586
 
6.4%
3 501
 
5.4%
4 487
 
5.3%
5 229
 
2.5%
6 166
 
1.8%
, 143
 
1.6%
Other values (9) 421
 
4.6%
Latin
ValueCountFrequency (%)
K 56
15.8%
B 38
10.7%
T 36
10.1%
C 30
8.5%
G 27
7.6%
D 23
 
6.5%
H 21
 
5.9%
N 21
 
5.9%
I 20
 
5.6%
S 17
 
4.8%
Other values (9) 66
18.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65319
87.2%
ASCII 9579
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
역 3374
 
5.2%
번 2220
 
3.4%
장 2201
 
3.4%
동 2159
 
3.3%
시 2103
 
3.2%
교 1840
 
2.8%
학 1703
 
2.6%
대 1238
 
1.9%
등 1198
 
1.8%
신 1139
 
1.7%
Other values (399) 46144
70.6%
ASCII
ValueCountFrequency (%)
2991
31.2%
( 1385
14.5%
) 1385
14.5%
1 930
 
9.7%
2 586
 
6.1%
3 501
 
5.2%
4 487
 
5.1%
5 229
 
2.4%
6 166
 
1.7%
, 143
 
1.5%
Other values (28) 776
 
8.1%

상권_변화_지표
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
LL
3498 
HH
2974 
HL
2035 
LH
1493 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLL
2nd rowLL
3rd rowLH
4th rowLL
5th rowLL

Common Values

ValueCountFrequency (%)
LL 3498
35.0%
HH 2974
29.7%
HL 2035
20.3%
LH 1493
14.9%

Length

2024-05-04T05:17:36.689610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:17:36.967026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ll 3498
35.0%
hh 2974
29.7%
hl 2035
20.3%
lh 1493
14.9%

상권_변화_지표_명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
다이나믹
3498 
정체
2974 
상권축소
2035 
상권확장
1493 

Length

Max length4
Median length4
Mean length3.4052
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row다이나믹
2nd row다이나믹
3rd row상권확장
4th row다이나믹
5th row다이나믹

Common Values

ValueCountFrequency (%)
다이나믹 3498
35.0%
정체 2974
29.7%
상권축소 2035
20.3%
상권확장 1493
14.9%

Length

2024-05-04T05:17:37.547562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:17:38.148988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다이나믹 3498
35.0%
정체 2974
29.7%
상권축소 2035
20.3%
상권확장 1493
14.9%

운영_영업_개월_평균
Real number (ℝ)

Distinct201
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.6291
Minimum0
Maximum308
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T05:17:38.716794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile69
Q187
median98
Q3111
95-th percentile143
Maximum308
Range308
Interquartile range (IQR)24

Descriptive statistics

Standard deviation23.753003
Coefficient of variation (CV)0.23604507
Kurtosis5.8849599
Mean100.6291
Median Absolute Deviation (MAD)12
Skewness1.1969971
Sum1006291
Variance564.20515
MonotonicityNot monotonic
2024-05-04T05:17:39.392542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92 252
 
2.5%
95 252
 
2.5%
99 246
 
2.5%
98 245
 
2.5%
93 241
 
2.4%
96 234
 
2.3%
97 233
 
2.3%
94 225
 
2.2%
100 222
 
2.2%
101 219
 
2.2%
Other values (191) 7631
76.3%
ValueCountFrequency (%)
0 15
0.1%
21 1
 
< 0.1%
24 1
 
< 0.1%
30 2
 
< 0.1%
31 3
 
< 0.1%
32 1
 
< 0.1%
33 1
 
< 0.1%
34 1
 
< 0.1%
35 2
 
< 0.1%
36 3
 
< 0.1%
ValueCountFrequency (%)
308 1
< 0.1%
307 1
< 0.1%
306 1
< 0.1%
293 1
< 0.1%
287 1
< 0.1%
279 1
< 0.1%
268 1
< 0.1%
262 1
< 0.1%
236 1
< 0.1%
229 1
< 0.1%

폐업_영업_개월_평균
Real number (ℝ)

HIGH CORRELATION 

Distinct82
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.9698
Minimum20
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T05:17:39.998532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile40
Q146
median50
Q355
95-th percentile66
Maximum125
Range105
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.5276703
Coefficient of variation (CV)0.16730829
Kurtosis5.0484879
Mean50.9698
Median Absolute Deviation (MAD)4
Skewness1.4182127
Sum509698
Variance72.72116
MonotonicityNot monotonic
2024-05-04T05:17:40.577029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47 680
 
6.8%
48 656
 
6.6%
50 646
 
6.5%
49 644
 
6.4%
46 614
 
6.1%
51 559
 
5.6%
45 552
 
5.5%
52 510
 
5.1%
44 442
 
4.4%
53 412
 
4.1%
Other values (72) 4285
42.9%
ValueCountFrequency (%)
20 1
 
< 0.1%
21 5
 
0.1%
22 1
 
< 0.1%
23 2
 
< 0.1%
24 1
 
< 0.1%
25 2
 
< 0.1%
26 1
 
< 0.1%
27 16
0.2%
28 6
 
0.1%
29 4
 
< 0.1%
ValueCountFrequency (%)
125 1
 
< 0.1%
120 1
 
< 0.1%
107 1
 
< 0.1%
99 5
0.1%
98 4
< 0.1%
97 6
0.1%
96 1
 
< 0.1%
95 3
< 0.1%
93 1
 
< 0.1%
92 1
 
< 0.1%

서울_운영_영업_개월_평균
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.9723
Minimum93
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T05:17:40.999212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile93
Q194
median96
Q3101
95-th percentile107
Maximum109
Range16
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.0220967
Coefficient of variation (CV)0.051260373
Kurtosis-0.58619314
Mean97.9723
Median Absolute Deviation (MAD)3
Skewness0.88774575
Sum979723
Variance25.221455
MonotonicityNot monotonic
2024-05-04T05:17:41.437262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
93 2007
20.1%
96 1997
20.0%
94 1062
10.6%
95 971
9.7%
99 507
 
5.1%
106 504
 
5.0%
107 503
 
5.0%
104 500
 
5.0%
109 494
 
4.9%
101 488
 
4.9%
Other values (2) 967
9.7%
ValueCountFrequency (%)
93 2007
20.1%
94 1062
10.6%
95 971
9.7%
96 1997
20.0%
97 481
 
4.8%
99 507
 
5.1%
101 488
 
4.9%
103 486
 
4.9%
104 500
 
5.0%
106 504
 
5.0%
ValueCountFrequency (%)
109 494
 
4.9%
107 503
 
5.0%
106 504
 
5.0%
104 500
 
5.0%
103 486
 
4.9%
101 488
 
4.9%
99 507
 
5.1%
97 481
 
4.8%
96 1997
20.0%
95 971
9.7%

서울_폐업_영업_개월_평균
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
51
2951 
50
2518 
49
2032 
52
2001 
48
498 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row49
2nd row50
3rd row50
4th row51
5th row51

Common Values

ValueCountFrequency (%)
51 2951
29.5%
50 2518
25.2%
49 2032
20.3%
52 2001
20.0%
48 498
 
5.0%

Length

2024-05-04T05:17:41.865487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:17:42.293389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
51 2951
29.5%
50 2518
25.2%
49 2032
20.3%
52 2001
20.0%
48 498
 
5.0%

Interactions

2024-05-04T05:17:28.936122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:19.834493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:22.132947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:24.473245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:26.656983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:29.389410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:20.309748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:22.612555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:24.824075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:26.987020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:29.736190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:20.872097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:22.940285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:25.265259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:27.422800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:30.050426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:21.270133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:23.651556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:25.655050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:28.031229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:30.417140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:21.709726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:24.046401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:26.024179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:17:28.503868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T05:17:42.632930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준_년분기_코드상권_구분_코드상권_구분_코드_명상권_코드상권_변화_지표상권_변화_지표_명운영_영업_개월_평균폐업_영업_개월_평균서울_운영_영업_개월_평균서울_폐업_영업_개월_평균
기준_년분기_코드1.0000.0000.0000.0000.0250.0250.1970.0940.9660.999
상권_구분_코드0.0001.0001.0001.0000.3930.3930.3180.2630.0000.000
상권_구분_코드_명0.0001.0001.0001.0000.3930.3930.3180.2630.0000.000
상권_코드0.0001.0001.0001.0000.1910.1910.3340.2640.0000.000
상권_변화_지표0.0250.3930.3930.1911.0001.0000.6780.7120.0430.020
상권_변화_지표_명0.0250.3930.3930.1911.0001.0000.6780.7120.0430.020
운영_영업_개월_평균0.1970.3180.3180.3340.6780.6781.0000.6660.2030.286
폐업_영업_개월_평균0.0940.2630.2630.2640.7120.7120.6661.0000.1050.152
서울_운영_영업_개월_평균0.9660.0000.0000.0000.0430.0430.2030.1051.0000.826
서울_폐업_영업_개월_평균0.9990.0000.0000.0000.0200.0200.2860.1520.8261.000
2024-05-04T05:17:43.018406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상권_변화_지표_명상권_구분_코드상권_변화_지표서울_폐업_영업_개월_평균상권_구분_코드_명
상권_변화_지표_명1.0000.1621.0000.0160.162
상권_구분_코드0.1621.0000.1620.0001.000
상권_변화_지표1.0000.1621.0000.0160.162
서울_폐업_영업_개월_평균0.0160.0000.0161.0000.000
상권_구분_코드_명0.1621.0000.1620.0001.000
2024-05-04T05:17:43.388910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준_년분기_코드상권_코드운영_영업_개월_평균폐업_영업_개월_평균서울_운영_영업_개월_평균상권_구분_코드상권_구분_코드_명상권_변화_지표상권_변화_지표_명서울_폐업_영업_개월_평균
기준_년분기_코드1.0000.0140.2540.1730.9740.0000.0000.0130.0130.830
상권_코드0.0141.0000.2100.0920.0161.0001.0000.1820.1820.000
운영_영업_개월_평균0.2540.2101.0000.4370.2580.1950.1950.4790.4790.123
폐업_영업_개월_평균0.1730.0920.4371.0000.1680.1610.1610.5160.5160.068
서울_운영_영업_개월_평균0.9740.0160.2580.1681.0000.0000.0000.0190.0190.699
상권_구분_코드0.0001.0000.1950.1610.0001.0001.0000.1620.1620.000
상권_구분_코드_명0.0001.0000.1950.1610.0001.0001.0000.1620.1620.000
상권_변화_지표0.0130.1820.4790.5160.0190.1620.1621.0001.0000.016
상권_변화_지표_명0.0130.1820.4790.5160.0190.1620.1621.0001.0000.016
서울_폐업_영업_개월_평균0.8300.0000.1230.0680.6990.0000.0000.0160.0161.000

Missing values

2024-05-04T05:17:30.852715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T05:17:31.404213image/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

기준_년분기_코드상권_구분_코드상권_구분_코드_명상권_코드상권_코드_명상권_변화_지표상권_변화_지표_명운영_영업_개월_평균폐업_영업_개월_평균서울_운영_영업_개월_평균서울_폐업_영업_개월_평균
1210820201A골목상권3110324월곡역 4번LL다이나믹51419449
2011420212A골목상권3110693오류동역 4번LL다이나믹95489650
1678920204A골목상권3111035오금공원(오주중학교)LH상권확장93539650
3273220224A골목상권3110811보라매역 4번LL다이나믹1015110351
2434620214R전통시장3130139강북종합전통시장(강북종합골목시장)LL다이나믹91449551
1272120201D발달상권3120034중구청(퇴계로4가)HH정체120629449
1165320201A골목상권3110805신길새마을금고신길4동지점HL상권축소109439449
766520192R전통시장3130201월정로시장LL다이나믹84479349
1428220202D발달상권3120147보라매역HL상권축소110489450
91920234A골목상권3110243중랑노인종합복지관LL다이나믹1095010952
기준_년분기_코드상권_구분_코드상권_구분_코드_명상권_코드상권_코드_명상권_변화_지표상권_변화_지표_명운영_영업_개월_평균폐업_영업_개월_평균서울_운영_영업_개월_평균서울_폐업_영업_개월_평균
2335320214A골목상권3110082용산구청LH상권확장74539551
2490720223A골목상권3110336석관고등학교HL상권축소1074510151
25720234A골목상권3110069숙대입구LL다이나믹975010952
571720231A골목상권3110919내방역 8번LL다이나믹894810452
139420231A골목상권3110361삼양사거리역 1번LH상권확장935610452
2310720214R전통시장3130054황학동주방가구거리상점가HH정체124699551
2923520222A골목상권3110185용두초등학교HL상권축소128439951
1955320211A골목상권3110139자양4동주민센터HL상권축소104499650
2016020212D발달상권3120023서울시청HH정체123669650
2834520222D발달상권3120066장한평역(장한평)HH정체124549951