Overview

Dataset statistics

Number of variables25
Number of observations10000
Missing cells56298
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory230.0 B

Variable types

Numeric10
Categorical13
Text1
Unsupported1

Dataset

Description기준_년분기_코드,상권_구분_코드,상권_구분_코드_명,상권_코드,상권_코드_명,집객시설_수,관공서_수,은행_수,종합병원_수,일반_병원_수,약국_수,유치원_수,초등학교_수,중학교_수,고등학교_수,대학교_수,백화점_수,슈퍼마켓_수,극장_수,숙박_시설_수,공항_수,철도_역_수,버스_터미널_수,지하철_역_수,버스_정거장_수
Author서울신용보증재단
URLhttps://data.seoul.go.kr/dataList/OA-15580/S/1/datasetView.do

Alerts

종합병원_수 is highly imbalanced (92.9%)Imbalance
일반_병원_수 is highly imbalanced (79.5%)Imbalance
유치원_수 is highly imbalanced (80.7%)Imbalance
초등학교_수 is highly imbalanced (92.7%)Imbalance
중학교_수 is highly imbalanced (97.6%)Imbalance
고등학교_수 is highly imbalanced (96.2%)Imbalance
백화점_수 is highly imbalanced (95.8%)Imbalance
극장_수 is highly imbalanced (85.4%)Imbalance
공항_수 is highly imbalanced (99.6%)Imbalance
버스_터미널_수 is highly imbalanced (98.9%)Imbalance
지하철_역_수 is highly imbalanced (73.6%)Imbalance
관공서_수 has 5979 (59.8%) missing valuesMissing
은행_수 has 6929 (69.3%) missing valuesMissing
약국_수 has 3606 (36.1%) missing valuesMissing
대학교_수 has 9472 (94.7%) missing valuesMissing
슈퍼마켓_수 has 9317 (93.2%) missing valuesMissing
숙박_시설_수 has 9069 (90.7%) missing valuesMissing
철도_역_수 has 10000 (100.0%) missing valuesMissing
버스_정거장_수 has 1926 (19.3%) missing valuesMissing
철도_역_수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-03 20:44:25.861832
Analysis finished2024-05-03 20:44:27.713269
Duration1.85 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준_년분기_코드
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20221.201
Minimum20204
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:44:27.890979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20204
5-th percentile20204
Q120213
median20222
Q320231
95-th percentile20234
Maximum20234
Range30
Interquartile range (IQR)18

Descriptive statistics

Standard deviation9.3003478
Coefficient of variation (CV)0.00045993054
Kurtosis-1.1638834
Mean20221.201
Median Absolute Deviation (MAD)9
Skewness-0.14164693
Sum2.0221201 × 108
Variance86.496469
MonotonicityNot monotonic
2024-05-03T20:44:28.299046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20234 805
 
8.1%
20212 796
 
8.0%
20233 788
 
7.9%
20213 779
 
7.8%
20214 777
 
7.8%
20231 774
 
7.7%
20222 772
 
7.7%
20221 770
 
7.7%
20224 767
 
7.7%
20232 756
 
7.6%
Other values (3) 2216
22.2%
ValueCountFrequency (%)
20204 728
7.3%
20211 734
7.3%
20212 796
8.0%
20213 779
7.8%
20214 777
7.8%
20221 770
7.7%
20222 772
7.7%
20223 754
7.5%
20224 767
7.7%
20231 774
7.7%
ValueCountFrequency (%)
20234 805
8.1%
20233 788
7.9%
20232 756
7.6%
20231 774
7.7%
20224 767
7.7%
20223 754
7.5%
20222 772
7.7%
20221 770
7.7%
20214 777
7.8%
20213 779
7.8%

상권_구분_코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A
6684 
R
1710 
D
1566 
U
 
40

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 6684
66.8%
R 1710
 
17.1%
D 1566
 
15.7%
U 40
 
0.4%

Length

2024-05-03T20:44:28.849911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:29.200329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 6684
66.8%
r 1710
 
17.1%
d 1566
 
15.7%
u 40
 
0.4%

상권_구분_코드_명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
골목상권
6684 
전통시장
1710 
발달상권
1566 
관광특구
 
40

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골목상권 6684
66.8%
전통시장 1710
 
17.1%
발달상권 1566
 
15.7%
관광특구 40
 
0.4%

Length

2024-05-03T20:44:29.596746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:29.971499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골목상권 6684
66.8%
전통시장 1710
 
17.1%
발달상권 1566
 
15.7%
관광특구 40
 
0.4%

상권_코드
Real number (ℝ)

Distinct1577
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3114960.8
Minimum3001491
Maximum3130327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:44:30.361130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3001491
5-th percentile3110080
Q13110397
median3110800
Q33120124
95-th percentile3130231
Maximum3130327
Range128836
Interquartile range (IQR)9727

Descriptive statistics

Standard deviation10409.649
Coefficient of variation (CV)0.0033418236
Kurtosis54.317211
Mean3114960.8
Median Absolute Deviation (MAD)527
Skewness-4.681534
Sum3.1149608 × 1010
Variance1.083608 × 108
MonotonicityNot monotonic
2024-05-03T20:44:30.857829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3110627 12
 
0.1%
3110857 12
 
0.1%
3110221 12
 
0.1%
3130124 11
 
0.1%
3120080 11
 
0.1%
3120196 11
 
0.1%
3110576 11
 
0.1%
3111036 11
 
0.1%
3110755 11
 
0.1%
3110091 11
 
0.1%
Other values (1567) 9887
98.9%
ValueCountFrequency (%)
3001491 4
< 0.1%
3001492 9
0.1%
3001493 6
0.1%
3001494 7
0.1%
3001495 9
0.1%
3001496 5
0.1%
3110001 6
0.1%
3110002 8
0.1%
3110003 4
< 0.1%
3110004 8
0.1%
ValueCountFrequency (%)
3130327 6
0.1%
3130326 9
0.1%
3130325 9
0.1%
3130324 9
0.1%
3130323 6
0.1%
3130322 7
0.1%
3130321 6
0.1%
3130320 8
0.1%
3130319 8
0.1%
3130318 9
0.1%

상권_코드_명
Text

Distinct1577
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T20:44:31.602661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length7.5287
Min length2

Characters and Unicode

Total characters75287
Distinct characters436
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

Unique2 ?
Unique (%)< 0.1%

Sample

1st row번동시장
2nd row자양골목전통시장(자양골목시장)
3rd row대림한신아파트
4th row양천향교역 7번
5th row연희초등학교
ValueCountFrequency (%)
1번 476
 
3.7%
3번 364
 
2.8%
2번 344
 
2.6%
4번 331
 
2.5%
5번 146
 
1.1%
6번 119
 
0.9%
8번 94
 
0.7%
골목형상점가 88
 
0.7%
7번 75
 
0.6%
연신내역 42
 
0.3%
Other values (1451) 10945
84.0%
2024-05-03T20:44:32.989896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
역 3390
 
4.5%
3024
 
4.0%
동 2263
 
3.0%
번 2253
 
3.0%
장 2021
 
2.7%
시 1939
 
2.6%
교 1832
 
2.4%
학 1688
 
2.2%
( 1409
 
1.9%
) 1409
 
1.9%
Other values (426) 54059
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65619
87.2%
Decimal Number 3273
 
4.3%
Space Separator 3024
 
4.0%
Open Punctuation 1409
 
1.9%
Close Punctuation 1409
 
1.9%
Uppercase Letter 332
 
0.4%
Other Punctuation 188
 
0.2%
Connector Punctuation 22
 
< 0.1%
Lowercase Letter 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 3390
 
5.2%
동 2263
 
3.4%
번 2253
 
3.4%
장 2021
 
3.1%
시 1939
 
3.0%
교 1832
 
2.8%
학 1688
 
2.6%
대 1245
 
1.9%
등 1185
 
1.8%
신 1131
 
1.7%
Other values (391) 46672
71.1%
Uppercase Letter
ValueCountFrequency (%)
K 58
17.5%
B 46
13.9%
T 36
10.8%
C 34
10.2%
G 29
8.7%
D 22
 
6.6%
I 21
 
6.3%
M 19
 
5.7%
S 19
 
5.7%
N 14
 
4.2%
Other values (4) 34
10.2%
Decimal Number
ValueCountFrequency (%)
1 920
28.1%
2 603
18.4%
3 537
16.4%
4 490
15.0%
5 225
 
6.9%
6 168
 
5.1%
8 119
 
3.6%
7 98
 
3.0%
9 82
 
2.5%
0 31
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 139
73.9%
. 23
 
12.2%
& 10
 
5.3%
! 9
 
4.8%
? 7
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 8
72.7%
h 3
 
27.3%
Space Separator
ValueCountFrequency (%)
3024
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1409
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1409
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65619
87.2%
Common 9325
 
12.4%
Latin 343
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 3390
 
5.2%
동 2263
 
3.4%
번 2253
 
3.4%
장 2021
 
3.1%
시 1939
 
3.0%
교 1832
 
2.8%
학 1688
 
2.6%
대 1245
 
1.9%
등 1185
 
1.8%
신 1131
 
1.7%
Other values (391) 46672
71.1%
Common
ValueCountFrequency (%)
3024
32.4%
( 1409
15.1%
) 1409
15.1%
1 920
 
9.9%
2 603
 
6.5%
3 537
 
5.8%
4 490
 
5.3%
5 225
 
2.4%
6 168
 
1.8%
, 139
 
1.5%
Other values (9) 401
 
4.3%
Latin
ValueCountFrequency (%)
K 58
16.9%
B 46
13.4%
T 36
10.5%
C 34
9.9%
G 29
8.5%
D 22
 
6.4%
I 21
 
6.1%
M 19
 
5.5%
S 19
 
5.5%
N 14
 
4.1%
Other values (6) 45
13.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65619
87.2%
ASCII 9668
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
역 3390
 
5.2%
동 2263
 
3.4%
번 2253
 
3.4%
장 2021
 
3.1%
시 1939
 
3.0%
교 1832
 
2.8%
학 1688
 
2.6%
대 1245
 
1.9%
등 1185
 
1.8%
신 1131
 
1.7%
Other values (391) 46672
71.1%
ASCII
ValueCountFrequency (%)
3024
31.3%
( 1409
14.6%
) 1409
14.6%
1 920
 
9.5%
2 603
 
6.2%
3 537
 
5.6%
4 490
 
5.1%
5 225
 
2.3%
6 168
 
1.7%
, 139
 
1.4%
Other values (25) 744
 
7.7%

집객시설_수
Real number (ℝ)

Distinct126
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.0149
Minimum1
Maximum594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:44:33.588124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median12
Q323
95-th percentile73
Maximum594
Range593
Interquartile range (IQR)18

Descriptive statistics

Standard deviation33.373358
Coefficient of variation (CV)1.5880808
Kurtosis90.667817
Mean21.0149
Median Absolute Deviation (MAD)8
Skewness7.1324535
Sum210149
Variance1113.7811
MonotonicityNot monotonic
2024-05-03T20:44:34.308612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 596
 
6.0%
4 569
 
5.7%
1 476
 
4.8%
5 464
 
4.6%
9 455
 
4.5%
7 436
 
4.4%
2 415
 
4.2%
6 401
 
4.0%
8 390
 
3.9%
14 365
 
3.6%
Other values (116) 5433
54.3%
ValueCountFrequency (%)
1 476
4.8%
2 415
4.2%
3 596
6.0%
4 569
5.7%
5 464
4.6%
6 401
4.0%
7 436
4.4%
8 390
3.9%
9 455
4.5%
10 356
3.6%
ValueCountFrequency (%)
594 9
0.1%
389 4
< 0.1%
246 7
0.1%
223 7
0.1%
218 4
< 0.1%
215 7
0.1%
206 7
0.1%
199 6
0.1%
190 7
0.1%
178 7
0.1%

관공서_수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)0.2%
Missing5979
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean1.7634917
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:44:34.693224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum14
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.322413
Coefficient of variation (CV)0.74988335
Kurtosis20.971566
Mean1.7634917
Median Absolute Deviation (MAD)0
Skewness3.5215293
Sum7091
Variance1.7487763
MonotonicityNot monotonic
2024-05-03T20:44:35.142096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 2372
 
23.7%
2 916
 
9.2%
3 409
 
4.1%
4 172
 
1.7%
5 92
 
0.9%
7 29
 
0.3%
14 9
 
0.1%
9 9
 
0.1%
6 7
 
0.1%
10 6
 
0.1%
(Missing) 5979
59.8%
ValueCountFrequency (%)
1 2372
23.7%
2 916
 
9.2%
3 409
 
4.1%
4 172
 
1.7%
5 92
 
0.9%
6 7
 
0.1%
7 29
 
0.3%
9 9
 
0.1%
10 6
 
0.1%
14 9
 
0.1%
ValueCountFrequency (%)
14 9
 
0.1%
10 6
 
0.1%
9 9
 
0.1%
7 29
 
0.3%
6 7
 
0.1%
5 92
 
0.9%
4 172
 
1.7%
3 409
 
4.1%
2 916
 
9.2%
1 2372
23.7%

은행_수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)0.8%
Missing6929
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean3.3572126
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:44:35.558937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile11
Maximum57
Range56
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.074723
Coefficient of variation (CV)1.5115882
Kurtosis46.541234
Mean3.3572126
Median Absolute Deviation (MAD)1
Skewness5.6950199
Sum10310
Variance25.752814
MonotonicityNot monotonic
2024-05-03T20:44:36.033932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1523
 
15.2%
2 455
 
4.5%
3 252
 
2.5%
4 170
 
1.7%
5 159
 
1.6%
6 150
 
1.5%
7 89
 
0.9%
8 48
 
0.5%
9 41
 
0.4%
13 29
 
0.3%
Other values (14) 155
 
1.6%
(Missing) 6929
69.3%
ValueCountFrequency (%)
1 1523
15.2%
2 455
 
4.5%
3 252
 
2.5%
4 170
 
1.7%
5 159
 
1.6%
6 150
 
1.5%
7 89
 
0.9%
8 48
 
0.5%
9 41
 
0.4%
10 12
 
0.1%
ValueCountFrequency (%)
57 9
0.1%
41 10
0.1%
25 12
0.1%
24 4
 
< 0.1%
20 7
0.1%
19 3
 
< 0.1%
18 7
0.1%
17 10
0.1%
16 16
0.2%
15 12
0.1%

종합병원_수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9858 
1
 
134
2
 
8

Length

Max length4
Median length4
Mean length3.9574
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9858
98.6%
1 134
 
1.3%
2 8
 
0.1%

Length

2024-05-03T20:44:36.438206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:36.799678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9858
98.6%
1 134
 
1.3%
2 8
 
0.1%

일반_병원_수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9188 
1
 
665
2
 
104
3
 
41
4
 
2

Length

Max length4
Median length4
Mean length3.7564
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 9188
91.9%
1 665
 
6.7%
2 104
 
1.0%
3 41
 
0.4%
4 2
 
< 0.1%

Length

2024-05-03T20:44:37.145010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:37.458098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9188
91.9%
1 665
 
6.7%
2 104
 
1.0%
3 41
 
0.4%
4 2
 
< 0.1%

약국_수
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)0.5%
Missing3606
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean3.6820457
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:44:37.853740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile12
Maximum52
Range51
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.5624197
Coefficient of variation (CV)1.2390992
Kurtosis23.92581
Mean3.6820457
Median Absolute Deviation (MAD)1
Skewness4.0041856
Sum23543
Variance20.815673
MonotonicityNot monotonic
2024-05-03T20:44:38.232202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 2237
22.4%
2 1412
 
14.1%
3 815
 
8.2%
4 439
 
4.4%
5 328
 
3.3%
6 286
 
2.9%
8 158
 
1.6%
7 131
 
1.3%
9 115
 
1.1%
10 80
 
0.8%
Other values (22) 393
 
3.9%
(Missing) 3606
36.1%
ValueCountFrequency (%)
1 2237
22.4%
2 1412
14.1%
3 815
 
8.2%
4 439
 
4.4%
5 328
 
3.3%
6 286
 
2.9%
7 131
 
1.3%
8 158
 
1.6%
9 115
 
1.1%
10 80
 
0.8%
ValueCountFrequency (%)
52 4
 
< 0.1%
43 9
0.1%
36 7
0.1%
32 7
0.1%
30 4
 
< 0.1%
28 7
0.1%
27 7
0.1%
26 10
0.1%
24 6
0.1%
23 13
0.1%

유치원_수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9073 
1
 
835
2
 
73
4
 
8
3
 
6

Length

Max length4
Median length4
Mean length3.7219
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9073
90.7%
1 835
 
8.3%
2 73
 
0.7%
4 8
 
0.1%
3 6
 
0.1%
6 5
 
0.1%

Length

2024-05-03T20:44:38.679354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:39.078711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9073
90.7%
1 835
 
8.3%
2 73
 
0.7%
4 8
 
0.1%
3 6
 
0.1%
6 5
 
< 0.1%

초등학교_수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9911 
1
 
89

Length

Max length4
Median length4
Mean length3.9733
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9911
99.1%
1 89
 
0.9%

Length

2024-05-03T20:44:39.466285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:39.860283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9911
99.1%
1 89
 
0.9%

중학교_수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9976 
1
 
24

Length

Max length4
Median length4
Mean length3.9928
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9976
99.8%
1 24
 
0.2%

Length

2024-05-03T20:44:40.285470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:40.616733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9976
99.8%
1 24
 
0.2%

고등학교_수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9935 
1
 
59
3
 
6

Length

Max length4
Median length4
Mean length3.9805
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9935
99.4%
1 59
 
0.6%
3 6
 
0.1%

Length

2024-05-03T20:44:40.957937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:41.290522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9935
99.4%
1 59
 
0.6%
3 6
 
0.1%

대학교_수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.3%
Missing9472
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean1.5568182
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:44:41.559949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0866583
Coefficient of variation (CV)0.6979995
Kurtosis6.0554371
Mean1.5568182
Median Absolute Deviation (MAD)0
Skewness2.4275264
Sum822
Variance1.1808263
MonotonicityNot monotonic
2024-05-03T20:44:41.951284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 370
 
3.7%
2 90
 
0.9%
3 30
 
0.3%
4 18
 
0.2%
5 12
 
0.1%
6 6
 
0.1%
7 2
 
< 0.1%
(Missing) 9472
94.7%
ValueCountFrequency (%)
1 370
3.7%
2 90
 
0.9%
3 30
 
0.3%
4 18
 
0.2%
5 12
 
0.1%
6 6
 
0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
7 2
 
< 0.1%
6 6
 
0.1%
5 12
 
0.1%
4 18
 
0.2%
3 30
 
0.3%
2 90
 
0.9%
1 370
3.7%

백화점_수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9926 
1
 
67
2
 
7

Length

Max length4
Median length4
Mean length3.9778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9926
99.3%
1 67
 
0.7%
2 7
 
0.1%

Length

2024-05-03T20:44:42.463649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:42.786196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9926
99.3%
1 67
 
0.7%
2 7
 
0.1%

슈퍼마켓_수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)1.2%
Missing9317
Missing (%)93.2%
Infinite0
Infinite (%)0.0%
Mean1.5505124
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:44:43.132048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2624787
Coefficient of variation (CV)0.81423317
Kurtosis10.742583
Mean1.5505124
Median Absolute Deviation (MAD)0
Skewness3.1592479
Sum1059
Variance1.5938524
MonotonicityNot monotonic
2024-05-03T20:44:43.488794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 504
 
5.0%
2 98
 
1.0%
3 38
 
0.4%
4 14
 
0.1%
7 8
 
0.1%
6 7
 
0.1%
5 7
 
0.1%
8 7
 
0.1%
(Missing) 9317
93.2%
ValueCountFrequency (%)
1 504
5.0%
2 98
 
1.0%
3 38
 
0.4%
4 14
 
0.1%
5 7
 
0.1%
6 7
 
0.1%
7 8
 
0.1%
8 7
 
0.1%
ValueCountFrequency (%)
8 7
 
0.1%
7 8
 
0.1%
6 7
 
0.1%
5 7
 
0.1%
4 14
 
0.1%
3 38
 
0.4%
2 98
 
1.0%
1 504
5.0%

극장_수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9437 
1
 
423
2
 
95
3
 
21
4
 
15

Length

Max length4
Median length4
Mean length3.8311
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 9437
94.4%
1 423
 
4.2%
2 95
 
0.9%
3 21
 
0.2%
4 15
 
0.1%
5 9
 
0.1%

Length

2024-05-03T20:44:43.906070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:44.282857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9437
94.4%
1 423
 
4.2%
2 95
 
0.9%
3 21
 
0.2%
4 15
 
0.1%
5 9
 
0.1%

숙박_시설_수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)1.3%
Missing9069
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean2.3082707
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:44:44.587131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum18
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.5949758
Coefficient of variation (CV)1.1242077
Kurtosis12.541875
Mean2.3082707
Median Absolute Deviation (MAD)0
Skewness3.2304787
Sum2149
Variance6.7338993
MonotonicityNot monotonic
2024-05-03T20:44:44.944830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 530
 
5.3%
2 198
 
2.0%
3 55
 
0.5%
4 39
 
0.4%
5 28
 
0.3%
8 24
 
0.2%
9 19
 
0.2%
6 13
 
0.1%
15 7
 
0.1%
18 6
 
0.1%
Other values (2) 12
 
0.1%
(Missing) 9069
90.7%
ValueCountFrequency (%)
1 530
5.3%
2 198
 
2.0%
3 55
 
0.5%
4 39
 
0.4%
5 28
 
0.3%
6 13
 
0.1%
7 6
 
0.1%
8 24
 
0.2%
9 19
 
0.2%
11 6
 
0.1%
ValueCountFrequency (%)
18 6
 
0.1%
15 7
 
0.1%
11 6
 
0.1%
9 19
 
0.2%
8 24
0.2%
7 6
 
0.1%
6 13
 
0.1%
5 28
0.3%
4 39
0.4%
3 55
0.5%

공항_수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9997 
4
 
3

Length

Max length4
Median length4
Mean length3.9991
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9997
> 99.9%
4 3
 
< 0.1%

Length

2024-05-03T20:44:45.396167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:46.016192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9997
> 99.9%
4 3
 
< 0.1%

철도_역_수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

버스_터미널_수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9990 
1
 
10

Length

Max length4
Median length4
Mean length3.997
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9990
99.9%
1 10
 
0.1%

Length

2024-05-03T20:44:46.366347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:46.683878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9990
99.9%
1 10
 
0.1%

지하철_역_수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8780 
1
 
852
2
 
271
3
 
73
5
 
13

Length

Max length4
Median length4
Mean length3.634
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8780
87.8%
1 852
 
8.5%
2 271
 
2.7%
3 73
 
0.7%
5 13
 
0.1%
4 11
 
0.1%

Length

2024-05-03T20:44:47.022882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:44:47.360145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8780
87.8%
1 852
 
8.5%
2 271
 
2.7%
3 73
 
0.7%
5 13
 
0.1%
4 11
 
0.1%

버스_정거장_수
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)0.4%
Missing1926
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean4.8694575
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:44:47.701212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile14
Maximum85
Range84
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.2085981
Coefficient of variation (CV)1.0696465
Kurtosis55.18761
Mean4.8694575
Median Absolute Deviation (MAD)2
Skewness5.0872465
Sum39316
Variance27.129494
MonotonicityNot monotonic
2024-05-03T20:44:48.086835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1538
15.4%
2 1464
14.6%
3 1234
12.3%
4 885
8.8%
5 616
 
6.2%
6 523
 
5.2%
8 321
 
3.2%
7 318
 
3.2%
10 242
 
2.4%
9 193
 
1.9%
Other values (21) 740
 
7.4%
(Missing) 1926
19.3%
ValueCountFrequency (%)
1 1538
15.4%
2 1464
14.6%
3 1234
12.3%
4 885
8.8%
5 616
6.2%
6 523
 
5.2%
7 318
 
3.2%
8 321
 
3.2%
9 193
 
1.9%
10 242
 
2.4%
ValueCountFrequency (%)
85 7
0.1%
44 9
0.1%
39 8
0.1%
36 4
 
< 0.1%
29 7
0.1%
28 7
0.1%
26 10
0.1%
24 14
0.1%
23 9
0.1%
22 17
0.2%

Sample

기준_년분기_코드상권_구분_코드상권_구분_코드_명상권_코드상권_코드_명집객시설_수관공서_수은행_수종합병원_수일반_병원_수약국_수유치원_수초등학교_수중학교_수고등학교_수대학교_수백화점_수슈퍼마켓_수극장_수숙박_시설_수공항_수철도_역_수버스_터미널_수지하철_역_수버스_정거장_수
624520234R전통시장3130124번동시장1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>
564020234R전통시장3130081자양골목전통시장(자양골목시장)3<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>
147520233A골목상권3110781대림한신아파트6<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1
1239720221A골목상권3110648양천향교역 7번21<NA>1<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6
1126520212A골목상권3110511연희초등학교17<NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA>3
321320234A골목상권3110620목동보건지소2711<NA><NA>31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
1377220224A골목상권3111018풍납초등학교(풍납백제문화공원)2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523620232R전통시장3130308청담삼익시장31<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1818520222R전통시장3130323둔촌역전통시장6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
774820223A골목상권3110177동의초등학교1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
기준_년분기_코드상권_구분_코드상권_구분_코드_명상권_코드상권_코드_명집객시설_수관공서_수은행_수종합병원_수일반_병원_수약국_수유치원_수초등학교_수중학교_수고등학교_수대학교_수백화점_수슈퍼마켓_수극장_수숙박_시설_수공항_수철도_역_수버스_터미널_수지하철_역_수버스_정거장_수
1209820223A골목상권3110655발산역 5번17<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4
43120233A골목상권3110119마장지하차도1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1
131020232A골목상권3110350가오리역 2번102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
301020234A골목상권3110690오류2동버들시장4711<NA><NA>54<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13
1276420223A골목상권3110813보라매역 6번221<NA><NA><NA>4<NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>3
1244520213A골목상권3110596서서울호수공원5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
603120234R전통시장3130115우림골목시장26<NA>2<NA><NA>5<NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>2
1464620223A골목상권3111011잠실나루역27<NA>3<NA><NA>6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
1725020222D발달상권3120095홍제역10042<NA>120<NA><NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA>115
1277520221A골목상권3110814서울지방병무청20<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10