Overview

Dataset statistics

Number of variables11
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory97.3 B

Variable types

DateTime1
Categorical4
Numeric6

Dataset

Description성남시 전통시장/발달상권/골목상권 기본적 상권정보와 관련된 현황에 대한 데이터로, 기준년월, 소속구역, 관공서, 금융기관, 교육시설, 초중고교 등 의 항목을 제공합니다.
Author경기도 성남시
URLhttps://www.data.go.kr/data/15098567/fileData.do

Alerts

기준년월 has constant value ""Constant
주거인구 수 is highly overall correlated with 관공서 수 and 5 other fieldsHigh correlation
관공서 수 is highly overall correlated with 주거인구 수 and 5 other fieldsHigh correlation
금융기관 수 is highly overall correlated with 주거인구 수 and 5 other fieldsHigh correlation
교육시설 수 is highly overall correlated with 주거인구 수 and 5 other fieldsHigh correlation
유통점 수 is highly overall correlated with 주거인구 수 and 4 other fieldsHigh correlation
초중고교 수 is highly overall correlated with 주거인구 수 and 5 other fieldsHigh correlation
상권구분코드( 발달상권 1 골목상권 2 기타 3 ) is highly overall correlated with 소속구역명 and 1 other fieldsHigh correlation
소속구역명 is highly overall correlated with 상권구분코드( 발달상권 1 골목상권 2 기타 3 ) and 1 other fieldsHigh correlation
소속구역 ( 소속구역 한정 1 소속구역 반경 500m 2 소속구역 반경 1000m 3) is highly overall correlated with 주거인구 수 and 4 other fieldsHigh correlation
대표상권유형 is highly overall correlated with 상권구분코드( 발달상권 1 골목상권 2 기타 3 ) and 1 other fieldsHigh correlation
주거인구 수 has 4 (4.0%) zerosZeros
관공서 수 has 15 (15.2%) zerosZeros
금융기관 수 has 3 (3.0%) zerosZeros
교육시설 수 has 13 (13.1%) zerosZeros
유통점 수 has 40 (40.4%) zerosZeros
초중고교 수 has 36 (36.4%) zerosZeros

Reproduction

Analysis started2023-12-12 12:58:56.817899
Analysis finished2023-12-12 12:59:01.139625
Duration4.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2021-06-01 00:00:00
Maximum2021-06-01 00:00:00
2023-12-12T21:59:01.188977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:01.292585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

상권구분코드( 발달상권 1 골목상권 2 기타 3 )
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
1
51 
3
27 
2
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 51
51.5%
3 27
27.3%
2 21
21.2%

Length

2023-12-12T21:59:01.647809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:59:01.994514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 51
51.5%
3 27
27.3%
2 21
21.2%

소속구역명
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size924.0 B
모란상권 진흥구역
 
3
모란오거리 상권
 
3
복정상권
 
3
서현역로데오 상권
 
3
수내역로데오 상권
 
3
Other values (28)
84 

Length

Max length11
Median length10
Mean length7.0606061
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row모란상권 진흥구역
2nd row모란상권 진흥구역
3rd row모란상권 진흥구역
4th row모란오거리 상권
5th row모란오거리 상권

Common Values

ValueCountFrequency (%)
모란상권 진흥구역 3
 
3.0%
모란오거리 상권 3
 
3.0%
복정상권 3
 
3.0%
서현역로데오 상권 3
 
3.0%
수내역로데오 상권 3
 
3.0%
수진동 상권 3
 
3.0%
수진역-신흥역 상권 3
 
3.0%
신흥동 상권 3
 
3.0%
야탑 먹자골목 3
 
3.0%
야탑역 상권 3
 
3.0%
Other values (23) 69
69.7%

Length

2023-12-12T21:59:02.370538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상권 66
35.5%
먹자골목 6
 
3.2%
전통상권 6
 
3.2%
정자동 6
 
3.2%
모란상권 3
 
1.6%
금광1동 3
 
1.6%
금광2동 3
 
1.6%
상대원3동 3
 
1.6%
위례서일로 3
 
1.6%
은행동 3
 
1.6%
Other values (28) 84
45.2%

소속구역 ( 소속구역 한정 1 소속구역 반경 500m 2 소속구역 반경 1000m 3)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
1
33 
2
33 
3
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row3
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 33
33.3%
2 33
33.3%
3 33
33.3%

Length

2023-12-12T21:59:02.688146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:59:02.835897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
33.3%
2 33
33.3%
3 33
33.3%

주거인구 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct96
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27260.051
Minimum0
Maximum101554
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T21:59:02.982291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile319.1
Q14008.5
median17557
Q349791.5
95-th percentile86741.8
Maximum101554
Range101554
Interquartile range (IQR)45783

Descriptive statistics

Standard deviation28506.45
Coefficient of variation (CV)1.0457226
Kurtosis-0.074135556
Mean27260.051
Median Absolute Deviation (MAD)15632
Skewness1.0397097
Sum2698745
Variance8.1261767 × 108
MonotonicityNot monotonic
2023-12-12T21:59:03.285955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.0%
1223 1
 
1.0%
29209 1
 
1.0%
80647 1
 
1.0%
15867 1
 
1.0%
1595 1
 
1.0%
65208 1
 
1.0%
22554 1
 
1.0%
3914 1
 
1.0%
83798 1
 
1.0%
Other values (86) 86
86.9%
ValueCountFrequency (%)
0 4
4.0%
185 1
 
1.0%
334 1
 
1.0%
343 1
 
1.0%
351 1
 
1.0%
599 1
 
1.0%
623 1
 
1.0%
974 1
 
1.0%
1001 1
 
1.0%
1034 1
 
1.0%
ValueCountFrequency (%)
101554 1
1.0%
98148 1
1.0%
91014 1
1.0%
90400 1
1.0%
88540 1
1.0%
86542 1
1.0%
83912 1
1.0%
83798 1
1.0%
80647 1
1.0%
80359 1
1.0%

관공서 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2828283
Minimum0
Maximum22
Zeros15
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T21:59:03.632753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile16
Maximum22
Range22
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.7122082
Coefficient of variation (CV)1.1002562
Kurtosis3.1177631
Mean4.2828283
Median Absolute Deviation (MAD)2
Skewness1.7638503
Sum424
Variance22.204906
MonotonicityNot monotonic
2023-12-12T21:59:03.922907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 19
19.2%
0 15
15.2%
2 14
14.1%
3 9
9.1%
4 8
8.1%
6 6
 
6.1%
5 6
 
6.1%
7 5
 
5.1%
8 4
 
4.0%
11 3
 
3.0%
Other values (8) 10
10.1%
ValueCountFrequency (%)
0 15
15.2%
1 19
19.2%
2 14
14.1%
3 9
9.1%
4 8
8.1%
5 6
 
6.1%
6 6
 
6.1%
7 5
 
5.1%
8 4
 
4.0%
9 1
 
1.0%
ValueCountFrequency (%)
22 1
 
1.0%
20 1
 
1.0%
18 1
 
1.0%
17 1
 
1.0%
16 2
2.0%
12 2
2.0%
11 3
3.0%
10 1
 
1.0%
9 1
 
1.0%
8 4
4.0%

금융기관 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6363636
Minimum0
Maximum33
Zeros3
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T21:59:04.231006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median8
Q315
95-th percentile29
Maximum33
Range33
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.6312845
Coefficient of variation (CV)0.89569934
Kurtosis0.20056513
Mean9.6363636
Median Absolute Deviation (MAD)6
Skewness1.0232936
Sum954
Variance74.499072
MonotonicityNot monotonic
2023-12-12T21:59:04.500014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2 15
15.2%
1 9
 
9.1%
4 7
 
7.1%
3 7
 
7.1%
10 6
 
6.1%
9 5
 
5.1%
11 5
 
5.1%
16 4
 
4.0%
6 4
 
4.0%
15 4
 
4.0%
Other values (18) 33
33.3%
ValueCountFrequency (%)
0 3
 
3.0%
1 9
9.1%
2 15
15.2%
3 7
7.1%
4 7
7.1%
5 3
 
3.0%
6 4
 
4.0%
8 3
 
3.0%
9 5
 
5.1%
10 6
 
6.1%
ValueCountFrequency (%)
33 1
1.0%
32 1
1.0%
30 2
2.0%
29 2
2.0%
27 1
1.0%
26 1
1.0%
24 2
2.0%
22 2
2.0%
21 2
2.0%
20 1
1.0%

교육시설 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct51
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.787879
Minimum0
Maximum99
Zeros13
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T21:59:04.688445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q335
95-th percentile78.2
Maximum99
Range99
Interquartile range (IQR)32

Descriptive statistics

Standard deviation24.849043
Coefficient of variation (CV)1.09045
Kurtosis0.7818109
Mean22.787879
Median Absolute Deviation (MAD)12
Skewness1.2649739
Sum2256
Variance617.47495
MonotonicityNot monotonic
2023-12-12T21:59:04.871340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
13.1%
1 6
 
6.1%
2 6
 
6.1%
5 5
 
5.1%
10 4
 
4.0%
26 3
 
3.0%
13 3
 
3.0%
16 3
 
3.0%
4 3
 
3.0%
12 3
 
3.0%
Other values (41) 50
50.5%
ValueCountFrequency (%)
0 13
13.1%
1 6
6.1%
2 6
6.1%
4 3
 
3.0%
5 5
 
5.1%
6 1
 
1.0%
7 2
 
2.0%
8 2
 
2.0%
9 2
 
2.0%
10 4
 
4.0%
ValueCountFrequency (%)
99 1
1.0%
88 1
1.0%
86 1
1.0%
85 1
1.0%
80 1
1.0%
78 1
1.0%
73 1
1.0%
69 1
1.0%
68 1
1.0%
67 1
1.0%

유통점 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4646465
Minimum0
Maximum7
Zeros40
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T21:59:04.992842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7572772
Coefficient of variation (CV)1.1997961
Kurtosis0.86684799
Mean1.4646465
Median Absolute Deviation (MAD)1
Skewness1.2862871
Sum145
Variance3.0880231
MonotonicityNot monotonic
2023-12-12T21:59:05.129215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 40
40.4%
1 22
22.2%
2 18
18.2%
4 7
 
7.1%
5 5
 
5.1%
3 3
 
3.0%
6 3
 
3.0%
7 1
 
1.0%
ValueCountFrequency (%)
0 40
40.4%
1 22
22.2%
2 18
18.2%
3 3
 
3.0%
4 7
 
7.1%
5 5
 
5.1%
6 3
 
3.0%
7 1
 
1.0%
ValueCountFrequency (%)
7 1
 
1.0%
6 3
 
3.0%
5 5
 
5.1%
4 7
 
7.1%
3 3
 
3.0%
2 18
18.2%
1 22
22.2%
0 40
40.4%

초중고교 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4848485
Minimum0
Maximum14
Zeros36
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T21:59:05.251359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile12.1
Maximum14
Range14
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.0390028
Coefficient of variation (CV)1.1590182
Kurtosis0.013838273
Mean3.4848485
Median Absolute Deviation (MAD)2
Skewness1.0427515
Sum345
Variance16.313544
MonotonicityNot monotonic
2023-12-12T21:59:05.376480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 36
36.4%
2 13
 
13.1%
1 8
 
8.1%
3 7
 
7.1%
7 7
 
7.1%
8 6
 
6.1%
5 4
 
4.0%
9 4
 
4.0%
6 3
 
3.0%
13 3
 
3.0%
Other values (4) 8
 
8.1%
ValueCountFrequency (%)
0 36
36.4%
1 8
 
8.1%
2 13
 
13.1%
3 7
 
7.1%
4 2
 
2.0%
5 4
 
4.0%
6 3
 
3.0%
7 7
 
7.1%
8 6
 
6.1%
9 4
 
4.0%
ValueCountFrequency (%)
14 2
 
2.0%
13 3
3.0%
12 2
 
2.0%
10 2
 
2.0%
9 4
4.0%
8 6
6.1%
7 7
7.1%
6 3
3.0%
5 4
4.0%
4 2
 
2.0%

대표상권유형
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
역세권
36 
상업지역
21 
주거지역
18 
대학가
9 
오피스지역
9 

Length

Max length5
Median length4
Mean length3.6363636
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row역세권
2nd row역세권
3rd row역세권
4th row역세권
5th row역세권

Common Values

ValueCountFrequency (%)
역세권 36
36.4%
상업지역 21
21.2%
주거지역 18
18.2%
대학가 9
 
9.1%
오피스지역 9
 
9.1%
기타지역 6
 
6.1%

Length

2023-12-12T21:59:05.551287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:59:05.677821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
역세권 36
36.4%
상업지역 21
21.2%
주거지역 18
18.2%
대학가 9
 
9.1%
오피스지역 9
 
9.1%
기타지역 6
 
6.1%

Interactions

2023-12-12T21:59:00.183031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:57.255520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:57.790935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.280415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.788022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:59.550929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:00.313884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:57.334069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:57.866321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.387642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.873794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:59.644058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:00.417296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:57.412791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:57.949103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.468487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.946535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:59.749186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:00.514866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:57.490047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.025452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.557057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:59.032732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:59.837296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:00.626115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:57.567940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.104906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.628499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:59.370512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:59.944283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:00.729492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:57.680527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.193088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:58.706087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:59.457303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:00.053498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:59:05.793129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상권구분코드( 발달상권 1 골목상권 2 기타 3 )소속구역명소속구역 ( 소속구역 한정 1 소속구역 반경 500m 2 소속구역 반경 1000m 3)주거인구 수관공서 수금융기관 수교육시설 수유통점 수초중고교 수대표상권유형
상권구분코드( 발달상권 1 골목상권 2 기타 3 )1.0001.0000.0000.3310.2170.0000.2300.3730.0000.877
소속구역명1.0001.0000.0000.0000.0000.0000.0000.2920.0001.000
소속구역 ( 소속구역 한정 1 소속구역 반경 500m 2 소속구역 반경 1000m 3)0.0000.0001.0000.8830.9020.6870.7970.5580.8300.000
주거인구 수0.3310.0000.8831.0000.8070.8740.8910.6000.9060.197
관공서 수0.2170.0000.9020.8071.0000.6720.8200.4740.7590.000
금융기관 수0.0000.0000.6870.8740.6721.0000.7070.6390.6690.260
교육시설 수0.2300.0000.7970.8910.8200.7071.0000.5500.8530.187
유통점 수0.3730.2920.5580.6000.4740.6390.5501.0000.5390.251
초중고교 수0.0000.0000.8300.9060.7590.6690.8530.5391.0000.000
대표상권유형0.8771.0000.0000.1970.0000.2600.1870.2510.0001.000
2023-12-12T21:59:05.970012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표상권유형소속구역명상권구분코드( 발달상권 1 골목상권 2 기타 3 )소속구역 ( 소속구역 한정 1 소속구역 반경 500m 2 소속구역 반경 1000m 3)
대표상권유형1.0000.8420.5730.000
소속구역명0.8421.0000.8290.000
상권구분코드( 발달상권 1 골목상권 2 기타 3 )0.5730.8291.0000.000
소속구역 ( 소속구역 한정 1 소속구역 반경 500m 2 소속구역 반경 1000m 3)0.0000.0000.0001.000
2023-12-12T21:59:06.097591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주거인구 수관공서 수금융기관 수교육시설 수유통점 수초중고교 수상권구분코드( 발달상권 1 골목상권 2 기타 3 )소속구역명소속구역 ( 소속구역 한정 1 소속구역 반경 500m 2 소속구역 반경 1000m 3)대표상권유형
주거인구 수1.0000.8880.7320.9480.5530.9090.2000.0000.7920.097
관공서 수0.8881.0000.7620.8830.5310.8220.0000.0000.6200.000
금융기관 수0.7320.7621.0000.7090.7300.6590.0000.0000.5200.133
교육시설 수0.9480.8830.7091.0000.5360.8940.1320.0000.6610.092
유통점 수0.5530.5310.7300.5361.0000.5060.2480.0800.4120.138
초중고교 수0.9090.8220.6590.8940.5061.0000.0360.0000.7050.000
상권구분코드( 발달상권 1 골목상권 2 기타 3 )0.2000.0000.0000.1320.2480.0361.0000.8290.0000.573
소속구역명0.0000.0000.0000.0000.0800.0000.8291.0000.0000.842
소속구역 ( 소속구역 한정 1 소속구역 반경 500m 2 소속구역 반경 1000m 3)0.7920.6200.5200.6610.4120.7050.0000.0001.0000.000
대표상권유형0.0970.0000.1330.0920.1380.0000.5730.8420.0001.000

Missing values

2023-12-12T21:59:00.871354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:59:01.058897image/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

기준년월상권구분코드( 발달상권 1 골목상권 2 기타 3 )소속구역명소속구역 ( 소속구역 한정 1 소속구역 반경 500m 2 소속구역 반경 1000m 3)주거인구 수관공서 수금융기관 수교육시설 수유통점 수초중고교 수대표상권유형
02021-06-011모란상권 진흥구역1122302110역세권
12021-06-011모란상권 진흥구역217793381323역세권
22021-06-011모란상권 진흥구역35448810163625역세권
32021-06-011모란오거리 상권1459926510역세권
42021-06-011모란오거리 상권216183491222역세권
52021-06-011모란오거리 상권3577719133625역세권
62021-06-011복정상권1991021711대학가
72021-06-011복정상권2192521500대학가
82021-06-011복정상권316612231202대학가
92021-06-011서현역로데오 상권10114230역세권
기준년월상권구분코드( 발달상권 1 골목상권 2 기타 3 )소속구역명소속구역 ( 소속구역 한정 1 소속구역 반경 500m 2 소속구역 반경 1000m 3)주거인구 수관공서 수금융기관 수교육시설 수유통점 수초중고교 수대표상권유형
892021-06-013수내 전통상권3546116292627주거지역
902021-06-013야탑3동 상권1100111000주거지역
912021-06-013야탑3동 상권221373121613주거지역
922021-06-013야탑3동 상권3577887125358주거지역
932021-06-013정자동 먹자골목 상권134314210상업지역
942021-06-013정자동 먹자골목 상권218001351813상업지역
952021-06-013정자동 먹자골목 상권38035981558614상업지역
962021-06-013중앙동상권1470612100역세권
972021-06-013중앙동상권217261492011역세권
982021-06-013중앙동상권38654212218627역세권