Overview

Dataset statistics

Number of variables38
Number of observations258
Missing cells1034
Missing cells (%)10.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory82.5 KiB
Average record size in memory327.5 B

Variable types

Text6
Categorical14
Numeric10
DateTime3
Unsupported2
Boolean3

Dataset

Description시설ID,시설명,서비스분류코드,서비스분류명,자치구코드,자치구명,연령구분코드,연령구분,X좌표값,Y좌표값,우편번호,기본주소,상세주소,설립일,사용료무료여부,사용료,전용면적(평),학기시작시간,학기종료시간,방학시작시간,방학종료시간,재량휴일시작시간,재량휴일종료시간,토요일운영여부,토요일운영시작시간,토요일운영종료시간,월사용료무료여부,월자기부담금,월사용료,일사용료무료여부,일자기부담금,일사용료,상시돌봄정원수,일시돌봄정원수,전용면적(m2),자치구코드배열,등록일시,수정일시
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20965/S/1/datasetView.do

Alerts

서비스분류코드 is highly imbalanced (58.4%)Imbalance
서비스분류명 is highly imbalanced (58.4%)Imbalance
연령구분코드 is highly imbalanced (93.5%)Imbalance
연령구분 is highly imbalanced (93.5%)Imbalance
학기종료시간 is highly imbalanced (52.6%)Imbalance
방학시작시간 is highly imbalanced (55.0%)Imbalance
토요일운영시작시간 is highly imbalanced (67.2%)Imbalance
월사용료무료여부 is highly imbalanced (59.0%)Imbalance
일사용료무료여부 is highly imbalanced (67.8%)Imbalance
일자기부담금 is highly imbalanced (51.6%)Imbalance
일사용료 is highly imbalanced (67.0%)Imbalance
사용료무료여부 has 258 (100.0%) missing valuesMissing
사용료 has 258 (100.0%) missing valuesMissing
전용면적(평) has 7 (2.7%) missing valuesMissing
토요일운영종료시간 has 219 (84.9%) missing valuesMissing
월사용료무료여부 has 15 (5.8%) missing valuesMissing
일사용료무료여부 has 19 (7.4%) missing valuesMissing
전용면적(m2) has 7 (2.7%) missing valuesMissing
자치구코드배열 has 251 (97.3%) missing valuesMissing
시설ID has unique valuesUnique
시설명 has unique valuesUnique
X좌표값 has unique valuesUnique
기본주소 has unique valuesUnique
수정일시 has unique valuesUnique
사용료무료여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사용료 is an unsupported type, check if it needs cleaning or further analysisUnsupported
상시돌봄정원수 has 7 (2.7%) zerosZeros

Reproduction

Analysis started2024-05-11 00:54:17.375451
Analysis finished2024-05-11 00:54:19.462946
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설ID
Text

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T00:54:20.251133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters2064
Distinct characters26
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique258 ?
Unique (%)100.0%

Sample

1st rowDJ240302
2nd rowYC240101
3rd rowGB231201
4th rowGS231101
5th rowBP231101
ValueCountFrequency (%)
dj240302 1
 
0.4%
sd200203 1
 
0.4%
gr200903 1
 
0.4%
gn200601 1
 
0.4%
bp200902 1
 
0.4%
bp200901 1
 
0.4%
ys200901 1
 
0.4%
nw200901 1
 
0.4%
yf200902 1
 
0.4%
yf200901 1
 
0.4%
Other values (248) 248
96.1%
2024-05-11T00:54:21.895641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 488
23.6%
1 485
23.5%
2 359
17.4%
S 74
 
3.6%
G 73
 
3.5%
9 66
 
3.2%
3 58
 
2.8%
D 48
 
2.3%
P 47
 
2.3%
J 44
 
2.1%
Other values (16) 322
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1548
75.0%
Uppercase Letter 516
 
25.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 74
14.3%
G 73
14.1%
D 48
9.3%
P 47
9.1%
J 44
8.5%
N 42
8.1%
B 33
6.4%
W 28
 
5.4%
M 26
 
5.0%
Y 26
 
5.0%
Other values (6) 75
14.5%
Decimal Number
ValueCountFrequency (%)
0 488
31.5%
1 485
31.3%
2 359
23.2%
9 66
 
4.3%
3 58
 
3.7%
4 23
 
1.5%
5 23
 
1.5%
6 18
 
1.2%
7 16
 
1.0%
8 12
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 1548
75.0%
Latin 516
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 74
14.3%
G 73
14.1%
D 48
9.3%
P 47
9.1%
J 44
8.5%
N 42
8.1%
B 33
6.4%
W 28
 
5.4%
M 26
 
5.0%
Y 26
 
5.0%
Other values (6) 75
14.5%
Common
ValueCountFrequency (%)
0 488
31.5%
1 485
31.3%
2 359
23.2%
9 66
 
4.3%
3 58
 
3.7%
4 23
 
1.5%
5 23
 
1.5%
6 18
 
1.2%
7 16
 
1.0%
8 12
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 488
23.6%
1 485
23.5%
2 359
17.4%
S 74
 
3.6%
G 73
 
3.5%
9 66
 
3.2%
3 58
 
2.8%
D 48
 
2.3%
P 47
 
2.3%
J 44
 
2.1%
Other values (16) 322
15.6%

시설명
Text

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T00:54:22.859019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length22.484496
Min length8

Characters and Unicode

Total characters5801
Distinct characters206
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique258 ?
Unique (%)100.0%

Sample

1st row동작15호점 우리동네키움센터(신대방2동)
2nd row양천구 6호점 우리동네키움센터 (융합형)
3rd row강북구 7호점 우리동네키움센터(인수동)
4th row강서7호점 화곡3동 우리동네키움센터
5th row제7호(양천권) 거점형 우리동네키움센터
ValueCountFrequency (%)
우리동네키움센터 65
 
10.0%
송파키움센터 18
 
2.8%
아이휴센터 16
 
2.5%
아이랜드 13
 
2.0%
융합형 10
 
1.5%
강북구 8
 
1.2%
초등돌봄 7
 
1.1%
우리동네키움센터(중구형 7
 
1.1%
거점형 7
 
1.1%
동대문구 6
 
0.9%
Other values (449) 494
75.9%
2024-05-11T00:54:24.410917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 441
 
7.6%
396
 
6.8%
터 349
 
6.0%
센 336
 
5.8%
움 295
 
5.1%
키 295
 
5.1%
리 274
 
4.7%
우 262
 
4.5%
호 262
 
4.5%
점 260
 
4.5%
Other values (196) 2631
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4574
78.8%
Decimal Number 402
 
6.9%
Space Separator 396
 
6.8%
Open Punctuation 212
 
3.7%
Close Punctuation 212
 
3.7%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 441
 
9.6%
터 349
 
7.6%
센 336
 
7.3%
움 295
 
6.4%
키 295
 
6.4%
리 274
 
6.0%
우 262
 
5.7%
호 262
 
5.7%
점 260
 
5.7%
네 259
 
5.7%
Other values (182) 1541
33.7%
Decimal Number
ValueCountFrequency (%)
1 115
28.6%
2 75
18.7%
3 42
 
10.4%
5 36
 
9.0%
4 34
 
8.5%
6 28
 
7.0%
7 26
 
6.5%
8 19
 
4.7%
9 15
 
3.7%
0 12
 
3.0%
Space Separator
ValueCountFrequency (%)
396
100.0%
Open Punctuation
ValueCountFrequency (%)
( 212
100.0%
Close Punctuation
ValueCountFrequency (%)
) 212
100.0%
Other Punctuation
ValueCountFrequency (%)
? 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4573
78.8%
Common 1227
 
21.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 441
 
9.6%
터 349
 
7.6%
센 336
 
7.3%
움 295
 
6.5%
키 295
 
6.5%
리 274
 
6.0%
우 262
 
5.7%
호 262
 
5.7%
점 260
 
5.7%
네 259
 
5.7%
Other values (181) 1540
33.7%
Common
ValueCountFrequency (%)
396
32.3%
( 212
17.3%
) 212
17.3%
1 115
 
9.4%
2 75
 
6.1%
3 42
 
3.4%
5 36
 
2.9%
4 34
 
2.8%
6 28
 
2.3%
7 26
 
2.1%
Other values (4) 51
 
4.2%
Han
ValueCountFrequency (%)
來 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4573
78.8%
ASCII 1227
 
21.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 441
 
9.6%
터 349
 
7.6%
센 336
 
7.3%
움 295
 
6.5%
키 295
 
6.5%
리 274
 
6.0%
우 262
 
5.7%
호 262
 
5.7%
점 260
 
5.7%
네 259
 
5.7%
Other values (181) 1540
33.7%
ASCII
ValueCountFrequency (%)
396
32.3%
( 212
17.3%
) 212
17.3%
1 115
 
9.4%
2 75
 
6.1%
3 42
 
3.4%
5 36
 
2.9%
4 34
 
2.8%
6 28
 
2.3%
7 26
 
2.1%
Other values (4) 51
 
4.2%
CJK
ValueCountFrequency (%)
來 1
100.0%

서비스분류코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1001
224 
1009
27 
1008
 
7

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1001
2nd row1009
3rd row1001
4th row1001
5th row1008

Common Values

ValueCountFrequency (%)
1001 224
86.8%
1009 27
 
10.5%
1008 7
 
2.7%

Length

2024-05-11T00:54:24.910537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:25.377357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1001 224
86.8%
1009 27
 
10.5%
1008 7
 
2.7%

서비스분류명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
우리동네키움센터
224 
융합형키움센터
27 
거점형키움센터
 
7

Length

Max length8
Median length8
Mean length7.8682171
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row우리동네키움센터
2nd row융합형키움센터
3rd row우리동네키움센터
4th row우리동네키움센터
5th row거점형키움센터

Common Values

ValueCountFrequency (%)
우리동네키움센터 224
86.8%
융합형키움센터 27
 
10.5%
거점형키움센터 7
 
2.7%

Length

2024-05-11T00:54:25.881843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:26.403121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
우리동네키움센터 224
86.8%
융합형키움센터 27
 
10.5%
거점형키움센터 7
 
2.7%

자치구코드
Real number (ℝ)

Distinct25
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11426.395
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T00:54:26.774726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11140
Q111290
median11410
Q311560
95-th percentile11710
Maximum11740
Range630
Interquartile range (IQR)270

Descriptive statistics

Standard deviation179.06803
Coefficient of variation (CV)0.015671437
Kurtosis-1.1103908
Mean11426.395
Median Absolute Deviation (MAD)150
Skewness0.081076681
Sum2948010
Variance32065.361
MonotonicityNot monotonic
2024-05-11T00:54:27.271900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11350 29
 
11.2%
11530 20
 
7.8%
11710 19
 
7.4%
11590 16
 
6.2%
11560 13
 
5.0%
11290 13
 
5.0%
11200 13
 
5.0%
11380 12
 
4.7%
11215 10
 
3.9%
11410 10
 
3.9%
Other values (15) 103
39.9%
ValueCountFrequency (%)
11110 6
2.3%
11140 9
3.5%
11170 7
2.7%
11200 13
5.0%
11215 10
3.9%
11230 7
2.7%
11260 6
2.3%
11290 13
5.0%
11305 8
3.1%
11320 6
2.3%
ValueCountFrequency (%)
11740 7
 
2.7%
11710 19
7.4%
11680 9
3.5%
11650 6
 
2.3%
11620 5
 
1.9%
11590 16
6.2%
11560 13
5.0%
11545 4
 
1.6%
11530 20
7.8%
11500 7
 
2.7%

자치구명
Categorical

Distinct25
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
노원구
29 
구로구
20 
송파구
19 
동작구
 
16
성북구
 
13
Other values (20)
161 

Length

Max length4
Median length3
Mean length3.0813953
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동작구
2nd row양천구
3rd row강북구
4th row강서구
5th row양천구

Common Values

ValueCountFrequency (%)
노원구 29
 
11.2%
구로구 20
 
7.8%
송파구 19
 
7.4%
동작구 16
 
6.2%
성북구 13
 
5.0%
성동구 13
 
5.0%
영등포구 13
 
5.0%
은평구 12
 
4.7%
광진구 10
 
3.9%
서대문구 10
 
3.9%
Other values (15) 103
39.9%

Length

2024-05-11T00:54:27.888694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노원구 29
 
11.2%
구로구 20
 
7.8%
송파구 19
 
7.4%
동작구 16
 
6.2%
성북구 13
 
5.0%
성동구 13
 
5.0%
영등포구 13
 
5.0%
은평구 12
 
4.7%
광진구 10
 
3.9%
서대문구 10
 
3.9%
Other values (15) 103
39.9%

연령구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1003
256 
1001
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1003
2nd row1003
3rd row1003
4th row1003
5th row1003

Common Values

ValueCountFrequency (%)
1003 256
99.2%
1001 2
 
0.8%

Length

2024-05-11T00:54:28.464405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:28.862981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1003 256
99.2%
1001 2
 
0.8%

연령구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
초등학생
256 
영유아
 
2

Length

Max length4
Median length4
Mean length3.9922481
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학생 256
99.2%
영유아 2
 
0.8%

Length

2024-05-11T00:54:29.252628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:29.713152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학생 256
99.2%
영유아 2
 
0.8%

X좌표값
Real number (ℝ)

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99423
Minimum126.80764
Maximum127.17408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T00:54:30.250868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.80764
5-th percentile126.84485
Q1126.92217
median127.01326
Q3127.06395
95-th percentile127.12532
Maximum127.17408
Range0.36644144
Interquartile range (IQR)0.14178158

Descriptive statistics

Standard deviation0.086629848
Coefficient of variation (CV)0.00068215578
Kurtosis-0.94508286
Mean126.99423
Median Absolute Deviation (MAD)0.069933497
Skewness-0.1964737
Sum32764.512
Variance0.0075047306
MonotonicityNot monotonic
2024-05-11T00:54:30.858848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.91647 1
 
0.4%
126.894 1
 
0.4%
126.97443 1
 
0.4%
126.9666248071396 1
 
0.4%
127.06576 1
 
0.4%
126.93195 1
 
0.4%
126.88907 1
 
0.4%
127.05991 1
 
0.4%
127.02177661346944 1
 
0.4%
127.10732 1
 
0.4%
Other values (248) 248
96.1%
ValueCountFrequency (%)
126.80763856012994 1
0.4%
126.81398 1
0.4%
126.822029779833 1
0.4%
126.82275800323671 1
0.4%
126.82445 1
0.4%
126.82476 1
0.4%
126.82963 1
0.4%
126.83051880315416 1
0.4%
126.83597 1
0.4%
126.83912 1
0.4%
ValueCountFrequency (%)
127.17408 1
0.4%
127.16246 1
0.4%
127.15465244125723 1
0.4%
127.15113846964636 1
0.4%
127.15057 1
0.4%
127.14152 1
0.4%
127.13572 1
0.4%
127.13146 1
0.4%
127.12876 1
0.4%
127.12788 1
0.4%

Y좌표값
Real number (ℝ)

Distinct257
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.555419
Minimum37.44666
Maximum37.68604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T00:54:31.444082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.44666
5-th percentile37.478978
Q137.503935
median37.55017
Q337.600583
95-th percentile37.660561
Maximum37.68604
Range0.23938
Interquartile range (IQR)0.096648473

Descriptive statistics

Standard deviation0.058388391
Coefficient of variation (CV)0.0015547261
Kurtosis-0.86286638
Mean37.555419
Median Absolute Deviation (MAD)0.048610646
Skewness0.33453792
Sum9689.298
Variance0.0034092042
MonotonicityNot monotonic
2024-05-11T00:54:32.007424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.52047 2
 
0.8%
37.49502 1
 
0.4%
37.649114672014576 1
 
0.4%
37.56376 1
 
0.4%
37.5267648742758 1
 
0.4%
37.66677 1
 
0.4%
37.5189 1
 
0.4%
37.51965 1
 
0.4%
37.45342 1
 
0.4%
37.46250794398711 1
 
0.4%
Other values (247) 247
95.7%
ValueCountFrequency (%)
37.44666 1
0.4%
37.44889 1
0.4%
37.45031110186032 1
0.4%
37.45342 1
0.4%
37.45687 1
0.4%
37.45858 1
0.4%
37.46250794398711 1
0.4%
37.46599 1
0.4%
37.4715 1
0.4%
37.47381 1
0.4%
ValueCountFrequency (%)
37.68604 1
0.4%
37.68301 1
0.4%
37.68158137066275 1
0.4%
37.67788 1
0.4%
37.67222 1
0.4%
37.669770049788106 1
0.4%
37.6692921509572 1
0.4%
37.66677 1
0.4%
37.6667 1
0.4%
37.665736418669695 1
0.4%

우편번호
Real number (ℝ)

Distinct257
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4861.0504
Minimum1023
Maximum8857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T00:54:32.660301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1023
5-th percentile1460.7
Q12807.5
median4745.5
Q36990.5
95-th percentile8364.6
Maximum8857
Range7834
Interquartile range (IQR)4183

Descriptive statistics

Standard deviation2314.4235
Coefficient of variation (CV)0.47611593
Kurtosis-1.2213044
Mean4861.0504
Median Absolute Deviation (MAD)2041.5
Skewness0.054355318
Sum1254151
Variance5356556.2
MonotonicityNot monotonic
2024-05-11T00:54:33.298795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8368 2
 
0.8%
7062 1
 
0.4%
1421 1
 
0.4%
4387 1
 
0.4%
1671 1
 
0.4%
7343 1
 
0.4%
7281 1
 
0.4%
6800 1
 
0.4%
6765 1
 
0.4%
6370 1
 
0.4%
Other values (247) 247
95.7%
ValueCountFrequency (%)
1023 1
0.4%
1044 1
0.4%
1093 1
0.4%
1100 1
0.4%
1137 1
0.4%
1159 1
0.4%
1183 1
0.4%
1196 1
0.4%
1305 1
0.4%
1314 1
0.4%
ValueCountFrequency (%)
8857 1
0.4%
8843 1
0.4%
8829 1
0.4%
8750 1
0.4%
8733 1
0.4%
8656 1
0.4%
8637 1
0.4%
8631 1
0.4%
8608 1
0.4%
8393 1
0.4%

기본주소
Text

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T00:54:34.314003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length18.906977
Min length15

Characters and Unicode

Total characters4878
Distinct characters214
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique258 ?
Unique (%)100.0%

Sample

1st row서울특별시 동작구 여의대방로16길 41
2nd row서울특별시 양천구 목동서로 400
3rd row서울특별시 강북구 인수봉로57길 16
4th row서울특별시 강서구 강서로 231
5th row서울특별시 양천구 안양천로 1131
ValueCountFrequency (%)
서울특별시 252
 
24.2%
노원구 29
 
2.8%
구로구 20
 
1.9%
송파구 19
 
1.8%
동작구 16
 
1.5%
성북구 13
 
1.2%
영등포구 13
 
1.2%
성동구 13
 
1.2%
은평구 12
 
1.2%
서대문구 10
 
1.0%
Other values (431) 644
61.9%
2024-05-11T00:54:35.519526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
788
16.2%
서 296
 
6.1%
구 282
 
5.8%
로 273
 
5.6%
시 262
 
5.4%
울 258
 
5.3%
특 252
 
5.2%
별 252
 
5.2%
1 178
 
3.6%
길 153
 
3.1%
Other values (204) 1884
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3162
64.8%
Decimal Number 890
 
18.2%
Space Separator 788
 
16.2%
Dash Punctuation 32
 
0.7%
Uppercase Letter 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 296
 
9.4%
구 282
 
8.9%
로 273
 
8.6%
시 262
 
8.3%
울 258
 
8.2%
특 252
 
8.0%
별 252
 
8.0%
길 153
 
4.8%
동 67
 
2.1%
대 45
 
1.4%
Other values (187) 1022
32.3%
Decimal Number
ValueCountFrequency (%)
1 178
20.0%
2 137
15.4%
3 107
12.0%
4 85
9.6%
5 82
9.2%
6 68
 
7.6%
0 67
 
7.5%
9 61
 
6.9%
7 54
 
6.1%
8 51
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
788
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3162
64.8%
Common 1713
35.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 296
 
9.4%
구 282
 
8.9%
로 273
 
8.6%
시 262
 
8.3%
울 258
 
8.2%
특 252
 
8.0%
별 252
 
8.0%
길 153
 
4.8%
동 67
 
2.1%
대 45
 
1.4%
Other values (187) 1022
32.3%
Common
ValueCountFrequency (%)
788
46.0%
1 178
 
10.4%
2 137
 
8.0%
3 107
 
6.2%
4 85
 
5.0%
5 82
 
4.8%
6 68
 
4.0%
0 67
 
3.9%
9 61
 
3.6%
7 54
 
3.2%
Other values (5) 86
 
5.0%
Latin
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3162
64.8%
ASCII 1716
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
788
45.9%
1 178
 
10.4%
2 137
 
8.0%
3 107
 
6.2%
4 85
 
5.0%
5 82
 
4.8%
6 68
 
4.0%
0 67
 
3.9%
9 61
 
3.6%
7 54
 
3.1%
Other values (7) 89
 
5.2%
Hangul
ValueCountFrequency (%)
서 296
 
9.4%
구 282
 
8.9%
로 273
 
8.6%
시 262
 
8.3%
울 258
 
8.2%
특 252
 
8.0%
별 252
 
8.0%
길 153
 
4.8%
동 67
 
2.1%
대 45
 
1.4%
Other values (187) 1022
32.3%

상세주소
Text

Distinct248
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T00:54:36.127815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length33
Mean length15.852713
Min length2

Characters and Unicode

Total characters4090
Distinct characters309
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

Unique238 ?
Unique (%)92.2%

Sample

1st row (신대방동)
2nd row (신정동, 목동신시가지아파트10단지 주민공동시설 2층 ) 경서 농협 2층
3rd row3~4층 (수유동)
4th row2층 (화곡동, 우장산역 해링턴 타워)
5th row2충 (목동)
ValueCountFrequency (%)
2층 74
 
9.5%
1층 44
 
5.6%
3층 32
 
4.1%
상계동 14
 
1.8%
우리동네키움센터 14
 
1.8%
101호 6
 
0.8%
내 5
 
0.6%
5
 
0.6%
신당동 5
 
0.6%
신길동 5
 
0.6%
Other values (423) 575
73.8%
2024-05-11T00:54:37.304978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
538
 
13.2%
동 327
 
8.0%
( 248
 
6.1%
) 248
 
6.1%
층 194
 
4.7%
1 174
 
4.3%
2 150
 
3.7%
0 88
 
2.2%
, 81
 
2.0%
호 78
 
1.9%
Other values (299) 1964
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2348
57.4%
Decimal Number 582
 
14.2%
Space Separator 538
 
13.2%
Open Punctuation 248
 
6.1%
Close Punctuation 248
 
6.1%
Other Punctuation 84
 
2.1%
Math Symbol 15
 
0.4%
Uppercase Letter 15
 
0.4%
Lowercase Letter 7
 
0.2%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 327
 
13.9%
층 194
 
8.3%
호 78
 
3.3%
터 50
 
2.1%
지 49
 
2.1%
센 49
 
2.1%
상 47
 
2.0%
아 43
 
1.8%
리 40
 
1.7%
파 39
 
1.7%
Other values (265) 1432
61.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
33.3%
F 1
 
6.7%
A 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%
M 1
 
6.7%
C 1
 
6.7%
D 1
 
6.7%
P 1
 
6.7%
L 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 174
29.9%
2 150
25.8%
0 88
15.1%
3 69
 
11.9%
4 34
 
5.8%
5 21
 
3.6%
6 20
 
3.4%
7 11
 
1.9%
8 10
 
1.7%
9 5
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
s 2
28.6%
e 2
28.6%
h 1
14.3%
b 1
14.3%
k 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 81
96.4%
. 2
 
2.4%
/ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
538
100.0%
Open Punctuation
ValueCountFrequency (%)
( 248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 248
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2348
57.4%
Common 1720
42.1%
Latin 22
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 327
 
13.9%
층 194
 
8.3%
호 78
 
3.3%
터 50
 
2.1%
지 49
 
2.1%
센 49
 
2.1%
상 47
 
2.0%
아 43
 
1.8%
리 40
 
1.7%
파 39
 
1.7%
Other values (265) 1432
61.0%
Common
ValueCountFrequency (%)
538
31.3%
( 248
14.4%
) 248
14.4%
1 174
 
10.1%
2 150
 
8.7%
0 88
 
5.1%
, 81
 
4.7%
3 69
 
4.0%
4 34
 
2.0%
5 21
 
1.2%
Other values (8) 69
 
4.0%
Latin
ValueCountFrequency (%)
B 5
22.7%
s 2
 
9.1%
e 2
 
9.1%
h 1
 
4.5%
F 1
 
4.5%
b 1
 
4.5%
A 1
 
4.5%
K 1
 
4.5%
S 1
 
4.5%
k 1
 
4.5%
Other values (6) 6
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2348
57.4%
ASCII 1742
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
538
30.9%
( 248
14.2%
) 248
14.2%
1 174
 
10.0%
2 150
 
8.6%
0 88
 
5.1%
, 81
 
4.6%
3 69
 
4.0%
4 34
 
2.0%
5 21
 
1.2%
Other values (24) 91
 
5.2%
Hangul
ValueCountFrequency (%)
동 327
 
13.9%
층 194
 
8.3%
호 78
 
3.3%
터 50
 
2.1%
지 49
 
2.1%
센 49
 
2.1%
상 47
 
2.0%
아 43
 
1.8%
리 40
 
1.7%
파 39
 
1.7%
Other values (265) 1432
61.0%

설립일
Date

Distinct165
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-06-01 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T00:54:37.706757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:54:38.151284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용료무료여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

사용료
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

전용면적(평)
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)42.6%
Missing7
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean40.867022
Minimum17
Maximum207.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T00:54:38.803054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile20
Q125
median34
Q347
95-th percentile87.5
Maximum207.8
Range190.8
Interquartile range (IQR)22

Descriptive statistics

Standard deviation22.763078
Coefficient of variation (CV)0.5570036
Kurtosis11.871628
Mean40.867022
Median Absolute Deviation (MAD)10
Skewness2.5888866
Sum10257.622
Variance518.15773
MonotonicityNot monotonic
2024-05-11T00:54:39.388168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 15
 
5.8%
25.0 14
 
5.4%
30.0 11
 
4.3%
40.0 11
 
4.3%
23.0 10
 
3.9%
33.0 8
 
3.1%
21.0 7
 
2.7%
24.0 7
 
2.7%
35.0 6
 
2.3%
26.0 6
 
2.3%
Other values (97) 156
60.5%
(Missing) 7
 
2.7%
ValueCountFrequency (%)
17.0 1
 
0.4%
20.0 15
5.8%
20.26 1
 
0.4%
20.9 1
 
0.4%
21.0 7
2.7%
21.3 1
 
0.4%
21.8 1
 
0.4%
22.0 3
 
1.2%
22.42 1
 
0.4%
23.0 10
3.9%
ValueCountFrequency (%)
207.8 1
 
0.4%
119.0 1
 
0.4%
110.0 2
0.8%
100.0 3
1.2%
96.0 2
0.8%
91.0 1
 
0.4%
88.2 1
 
0.4%
88.0 2
0.8%
87.0 1
 
0.4%
86.83 1
 
0.4%

학기시작시간
Real number (ℝ)

Distinct7
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1083.7209
Minimum700
Maximum1300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T00:54:39.910809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700
5-th percentile900
Q1900
median1000
Q31300
95-th percentile1300
Maximum1300
Range600
Interquartile range (IQR)400

Descriptive statistics

Standard deviation173.22337
Coefficient of variation (CV)0.1598413
Kurtosis-1.4261416
Mean1083.7209
Median Absolute Deviation (MAD)100
Skewness0.063167678
Sum279600
Variance30006.334
MonotonicityNot monotonic
2024-05-11T00:54:40.368223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1300 80
31.0%
900 68
26.4%
1000 60
23.3%
1200 24
 
9.3%
1100 17
 
6.6%
800 6
 
2.3%
700 3
 
1.2%
ValueCountFrequency (%)
700 3
 
1.2%
800 6
 
2.3%
900 68
26.4%
1000 60
23.3%
1100 17
 
6.6%
1200 24
 
9.3%
1300 80
31.0%
ValueCountFrequency (%)
1300 80
31.0%
1200 24
 
9.3%
1100 17
 
6.6%
1000 60
23.3%
900 68
26.4%
800 6
 
2.3%
700 3
 
1.2%

학기종료시간
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1900
164 
2000
88 
1800
 
4
2100
 
1
1000
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row1900
2nd row2000
3rd row1900
4th row1900
5th row1900

Common Values

ValueCountFrequency (%)
1900 164
63.6%
2000 88
34.1%
1800 4
 
1.6%
2100 1
 
0.4%
1000 1
 
0.4%

Length

2024-05-11T00:54:40.797252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:41.369205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1900 164
63.6%
2000 88
34.1%
1800 4
 
1.6%
2100 1
 
0.4%
1000 1
 
0.4%

방학시작시간
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
900
192 
800
63 
700
 
2
1100
 
1

Length

Max length4
Median length3
Mean length3.003876
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row900
2nd row800
3rd row900
4th row900
5th row800

Common Values

ValueCountFrequency (%)
900 192
74.4%
800 63
 
24.4%
700 2
 
0.8%
1100 1
 
0.4%

Length

2024-05-11T00:54:42.038118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:42.634908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
900 192
74.4%
800 63
 
24.4%
700 2
 
0.8%
1100 1
 
0.4%

방학종료시간
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1800
117 
2000
79 
1900
60 
2100
 
1
1700
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row1800
2nd row2000
3rd row1900
4th row1800
5th row2000

Common Values

ValueCountFrequency (%)
1800 117
45.3%
2000 79
30.6%
1900 60
23.3%
2100 1
 
0.4%
1700 1
 
0.4%

Length

2024-05-11T00:54:43.253498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:43.705210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1800 117
45.3%
2000 79
30.6%
1900 60
23.3%
2100 1
 
0.4%
1700 1
 
0.4%

재량휴일시작시간
Real number (ℝ)

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean899.22481
Minimum800
Maximum1300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T00:54:44.036642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum800
5-th percentile800
Q1900
median900
Q3900
95-th percentile1000
Maximum1300
Range500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.37345
Coefficient of variation (CV)0.069363579
Kurtosis14.559684
Mean899.22481
Median Absolute Deviation (MAD)0
Skewness2.4292908
Sum232000
Variance3890.4473
MonotonicityNot monotonic
2024-05-11T00:54:44.436532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
900 199
77.1%
800 35
 
13.6%
1000 20
 
7.8%
1300 2
 
0.8%
1100 1
 
0.4%
1200 1
 
0.4%
ValueCountFrequency (%)
800 35
 
13.6%
900 199
77.1%
1000 20
 
7.8%
1100 1
 
0.4%
1200 1
 
0.4%
1300 2
 
0.8%
ValueCountFrequency (%)
1300 2
 
0.8%
1200 1
 
0.4%
1100 1
 
0.4%
1000 20
 
7.8%
900 199
77.1%
800 35
 
13.6%

재량휴일종료시간
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1800
109 
1900
80 
2000
66 
1400
 
2
1300
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row1800
2nd row2000
3rd row1900
4th row1800
5th row1800

Common Values

ValueCountFrequency (%)
1800 109
42.2%
1900 80
31.0%
2000 66
25.6%
1400 2
 
0.8%
1300 1
 
0.4%

Length

2024-05-11T00:54:44.921351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:45.396769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1800 109
42.2%
1900 80
31.0%
2000 66
25.6%
1400 2
 
0.8%
1300 1
 
0.4%

토요일운영여부
Boolean

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size390.0 B
False
223 
True
35 
ValueCountFrequency (%)
False 223
86.4%
True 35
 
13.6%
2024-05-11T00:54:45.853314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

토요일운영시작시간
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
219 
900
23 
1000
 
10
800
 
4
1200
 
1

Length

Max length4
Median length4
Mean length3.8953488
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row900
3rd row<NA>
4th row<NA>
5th row1000

Common Values

ValueCountFrequency (%)
<NA> 219
84.9%
900 23
 
8.9%
1000 10
 
3.9%
800 4
 
1.6%
1200 1
 
0.4%
1100 1
 
0.4%

Length

2024-05-11T00:54:46.350104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:46.829225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 219
84.9%
900 23
 
8.9%
1000 10
 
3.9%
800 4
 
1.6%
1200 1
 
0.4%
1100 1
 
0.4%

토요일운영종료시간
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)20.5%
Missing219
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean1456.4103
Minimum1200
Maximum2100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T00:54:47.419770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1200
5-th percentile1200
Q11300
median1300
Q31650
95-th percentile1800
Maximum2100
Range900
Interquartile range (IQR)350

Descriptive statistics

Standard deviation238.1893
Coefficient of variation (CV)0.16354547
Kurtosis-0.23652666
Mean1456.4103
Median Absolute Deviation (MAD)100
Skewness0.98147984
Sum56800
Variance56734.143
MonotonicityNot monotonic
2024-05-11T00:54:47.763376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1300 17
 
6.6%
1800 8
 
3.1%
1400 5
 
1.9%
1200 4
 
1.6%
1600 2
 
0.8%
1700 1
 
0.4%
1500 1
 
0.4%
2100 1
 
0.4%
(Missing) 219
84.9%
ValueCountFrequency (%)
1200 4
 
1.6%
1300 17
6.6%
1400 5
 
1.9%
1500 1
 
0.4%
1600 2
 
0.8%
1700 1
 
0.4%
1800 8
3.1%
2100 1
 
0.4%
ValueCountFrequency (%)
2100 1
 
0.4%
1800 8
3.1%
1700 1
 
0.4%
1600 2
 
0.8%
1500 1
 
0.4%
1400 5
 
1.9%
1300 17
6.6%
1200 4
 
1.6%

월사용료무료여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.8%
Missing15
Missing (%)5.8%
Memory size648.0 B
False
223 
True
 
20
(Missing)
 
15
ValueCountFrequency (%)
False 223
86.4%
True 20
 
7.8%
(Missing) 15
 
5.8%
2024-05-11T00:54:48.107971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

월자기부담금
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
227 
0
31 

Length

Max length4
Median length4
Mean length3.6395349
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 227
88.0%
0 31
 
12.0%

Length

2024-05-11T00:54:48.503798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:48.833107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 227
88.0%
0 31
 
12.0%

월사용료
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
50000
186 
<NA>
35 
20000
34 
30000
 
2
40000
 
1

Length

Max length5
Median length5
Mean length4.8643411
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row50000
2nd row50000
3rd row50000
4th row50000
5th row<NA>

Common Values

ValueCountFrequency (%)
50000 186
72.1%
<NA> 35
 
13.6%
20000 34
 
13.2%
30000 2
 
0.8%
40000 1
 
0.4%

Length

2024-05-11T00:54:49.151516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:49.509209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50000 186
72.1%
na 35
 
13.6%
20000 34
 
13.2%
30000 2
 
0.8%
40000 1
 
0.4%

일사용료무료여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.8%
Missing19
Missing (%)7.4%
Memory size648.0 B
False
225 
True
 
14
(Missing)
 
19
ValueCountFrequency (%)
False 225
87.2%
True 14
 
5.4%
(Missing) 19
 
7.4%
2024-05-11T00:54:49.923766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일자기부담금
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
231 
0
27 

Length

Max length4
Median length4
Mean length3.6860465
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> 231
89.5%
0 27
 
10.5%

Length

2024-05-11T00:54:50.440959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:50.822716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 231
89.5%
0 27
 
10.5%

일사용료
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2500
218 
<NA>
32 
2000
 
6
0
 
1
1500
 
1

Length

Max length4
Median length4
Mean length3.9883721
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row2500
2nd row2500
3rd row2500
4th row2500
5th row2500

Common Values

ValueCountFrequency (%)
2500 218
84.5%
<NA> 32
 
12.4%
2000 6
 
2.3%
0 1
 
0.4%
1500 1
 
0.4%

Length

2024-05-11T00:54:51.226169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:51.606952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2500 218
84.5%
na 32
 
12.4%
2000 6
 
2.3%
0 1
 
0.4%
1500 1
 
0.4%

상시돌봄정원수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.244186
Minimum0
Maximum81
Zeros7
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T00:54:52.044960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.4
Q120
median23.5
Q329
95-th percentile36
Maximum81
Range81
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.055164
Coefficient of variation (CV)0.33225137
Kurtosis10.886691
Mean24.244186
Median Absolute Deviation (MAD)3.5
Skewness1.1937511
Sum6255
Variance64.885666
MonotonicityNot monotonic
2024-05-11T00:54:52.602645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20 100
38.8%
25 47
18.2%
30 38
 
14.7%
28 8
 
3.1%
40 8
 
3.1%
35 8
 
3.1%
0 7
 
2.7%
23 6
 
2.3%
22 6
 
2.3%
24 4
 
1.6%
Other values (15) 26
 
10.1%
ValueCountFrequency (%)
0 7
 
2.7%
5 1
 
0.4%
12 1
 
0.4%
15 3
 
1.2%
16 1
 
0.4%
20 100
38.8%
21 4
 
1.6%
22 6
 
2.3%
23 6
 
2.3%
24 4
 
1.6%
ValueCountFrequency (%)
81 1
 
0.4%
50 1
 
0.4%
49 1
 
0.4%
45 1
 
0.4%
40 8
3.1%
36 2
 
0.8%
35 8
3.1%
34 1
 
0.4%
32 2
 
0.8%
31 1
 
0.4%

일시돌봄정원수
Real number (ℝ)

Distinct15
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1162791
Minimum0
Maximum23
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T00:54:53.019917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median4
Q36
95-th percentile8
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6717368
Coefficient of variation (CV)0.5222031
Kurtosis21.553211
Mean5.1162791
Median Absolute Deviation (MAD)1
Skewness4.209794
Sum1320
Variance7.1381775
MonotonicityNot monotonic
2024-05-11T00:54:53.538697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 120
46.5%
5 56
21.7%
6 44
 
17.1%
8 9
 
3.5%
3 8
 
3.1%
7 7
 
2.7%
18 3
 
1.2%
2 3
 
1.2%
1 2
 
0.8%
21 1
 
0.4%
Other values (5) 5
 
1.9%
ValueCountFrequency (%)
0 1
 
0.4%
1 2
 
0.8%
2 3
 
1.2%
3 8
 
3.1%
4 120
46.5%
5 56
21.7%
6 44
 
17.1%
7 7
 
2.7%
8 9
 
3.5%
9 1
 
0.4%
ValueCountFrequency (%)
23 1
 
0.4%
21 1
 
0.4%
20 1
 
0.4%
18 3
 
1.2%
16 1
 
0.4%
9 1
 
0.4%
8 9
 
3.5%
7 7
 
2.7%
6 44
17.1%
5 56
21.7%

전용면적(m2)
Text

MISSING 

Distinct202
Distinct (%)80.5%
Missing7
Missing (%)2.7%
Memory size2.1 KiB
2024-05-11T00:54:54.538492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.0199203
Min length2

Characters and Unicode

Total characters1009
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)70.5%

Sample

1st row200.43
2nd row291
3rd row150.2
4th row112
5th row196.1
ValueCountFrequency (%)
66 7
 
2.8%
132 5
 
2.0%
102 4
 
1.6%
100 4
 
1.6%
84 4
 
1.6%
115 4
 
1.6%
72 3
 
1.2%
78 3
 
1.2%
81 3
 
1.2%
112 3
 
1.2%
Other values (192) 211
84.1%
2024-05-11T00:54:56.247344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 170
16.8%
. 129
12.8%
2 97
9.6%
8 92
9.1%
6 85
8.4%
7 79
7.8%
5 75
7.4%
9 75
7.4%
3 74
7.3%
0 68
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
87.2%
Other Punctuation 129
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 170
19.3%
2 97
11.0%
8 92
10.5%
6 85
9.7%
7 79
9.0%
5 75
8.5%
9 75
8.5%
3 74
8.4%
0 68
 
7.7%
4 65
 
7.4%
Other Punctuation
ValueCountFrequency (%)
. 129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 170
16.8%
. 129
12.8%
2 97
9.6%
8 92
9.1%
6 85
8.4%
7 79
7.8%
5 75
7.4%
9 75
7.4%
3 74
7.3%
0 68
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 170
16.8%
. 129
12.8%
2 97
9.6%
8 92
9.1%
6 85
8.4%
7 79
7.8%
5 75
7.4%
9 75
7.4%
3 74
7.3%
0 68
 
6.7%

자치구코드배열
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing251
Missing (%)97.3%
Memory size2.1 KiB
2024-05-11T00:54:56.822838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.142857
Min length5

Characters and Unicode

Total characters71
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row11500,11470
2nd row11530,11545
3rd row11230,11290
4th row11410,11110
5th row11590,11560
ValueCountFrequency (%)
11500,11470 1
14.3%
11530,11545 1
14.3%
11230,11290 1
14.3%
11410,11110 1
14.3%
11590,11560 1
14.3%
11350,11320 1
14.3%
11140 1
14.3%
2024-05-11T00:54:57.862023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 30
42.3%
0 13
18.3%
5 7
 
9.9%
, 6
 
8.5%
4 4
 
5.6%
3 4
 
5.6%
2 3
 
4.2%
9 2
 
2.8%
7 1
 
1.4%
6 1
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 65
91.5%
Other Punctuation 6
 
8.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 30
46.2%
0 13
20.0%
5 7
 
10.8%
4 4
 
6.2%
3 4
 
6.2%
2 3
 
4.6%
9 2
 
3.1%
7 1
 
1.5%
6 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 30
42.3%
0 13
18.3%
5 7
 
9.9%
, 6
 
8.5%
4 4
 
5.6%
3 4
 
5.6%
2 3
 
4.2%
9 2
 
2.8%
7 1
 
1.4%
6 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 30
42.3%
0 13
18.3%
5 7
 
9.9%
, 6
 
8.5%
4 4
 
5.6%
3 4
 
5.6%
2 3
 
4.2%
9 2
 
2.8%
7 1
 
1.4%
6 1
 
1.4%

등록일시
Date

Distinct225
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2019-01-01 09:00:00
Maximum2024-03-07 09:35:34
2024-05-11T00:54:58.383779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:54:59.053954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2021-05-20 11:07:10
Maximum2024-05-02 19:43:24
2024-05-11T00:54:59.700713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:55:00.220722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

시설ID시설명서비스분류코드서비스분류명자치구코드자치구명연령구분코드연령구분X좌표값Y좌표값우편번호기본주소상세주소설립일사용료무료여부사용료전용면적(평)학기시작시간학기종료시간방학시작시간방학종료시간재량휴일시작시간재량휴일종료시간토요일운영여부토요일운영시작시간토요일운영종료시간월사용료무료여부월자기부담금월사용료일사용료무료여부일자기부담금일사용료상시돌봄정원수일시돌봄정원수전용면적(m2)자치구코드배열등록일시수정일시
0DJ240302동작15호점 우리동네키움센터(신대방2동)1001우리동네키움센터11590동작구1003초등학생126.9164737.495027062서울특별시 동작구 여의대방로16길 41(신대방동)2024-04-01<NA><NA>60.01300190090018009001800N<NA><NA>N<NA>50000N<NA>2500306200.43<NA>2024-03-07 09:35:34.02024-04-01 08:46:40.0
1YC240101양천구 6호점 우리동네키움센터 (융합형)1009융합형키움센터11470양천구1003초등학생126.85780537.5175998090서울특별시 양천구 목동서로 400(신정동, 목동신시가지아파트10단지 주민공동시설 2층 ) 경서 농협 2층2024-01-31<NA><NA>88.01300200080020008002000Y9001300N<NA>50000N<NA>2500357291<NA>2024-01-04 18:15:40.02024-04-04 14:29:11.0
2GB231201강북구 7호점 우리동네키움센터(인수동)1001우리동네키움센터11305강북구1003초등학생127.01236837.6376161023서울특별시 강북구 인수봉로57길 163~4층 (수유동)2023-12-26<NA><NA>45.01300190090019009001900N<NA><NA>N<NA>50000N<NA>2500254150.2<NA>2023-12-26 07:49:07.02024-03-16 23:37:44.0
3GS231101강서7호점 화곡3동 우리동네키움센터1001우리동네키움센터11500강서구1003초등학생126.8359737.546267705서울특별시 강서구 강서로 2312층 (화곡동, 우장산역 해링턴 타워)2023-12-27<NA><NA>34.01000190090018009001800N<NA><NA>N<NA>50000N<NA>2500255112<NA>2023-11-30 16:15:02.02024-04-15 17:52:14.0
4BP231101제7호(양천권) 거점형 우리동네키움센터1008거점형키움센터11470양천구1003초등학생126.88365837.5421787978서울특별시 양천구 안양천로 11312충 (목동)2023-12-18<NA><NA><NA>13001900800200010001800Y10001800<NA>0<NA>N<NA>2500018<NA>11500,114702023-11-28 16:36:07.02024-04-23 09:57:42.0
5SB231101성북12호점 우리동네키움센터(길음1동)1001우리동네키움센터11290성북구1003초등학생127.0220237.608742724서울특별시 성북구 삼양로9길 14-72~3층 (길음동, 길음소리마을센터)2023-12-18<NA><NA>59.01000190090018009001800N<NA><NA>N<NA>50000N<NA>2500306196.1<NA>2023-11-28 13:39:18.02024-03-04 09:13:46.0
6NW231101노원29호점 우리동네키움센터(공릉태릉우성 아이휴센터)1001우리동네키움센터11350노원구1003초등학생127.08577937.6249071821서울특별시 노원구 노원로 291동 105호 (공릉동, 우성아파트)2023-12-26<NA><NA>20.261300200090020009002000N<NA><NA>N<NA>20000N<NA>250020466.87<NA>2023-11-22 16:17:43.02024-02-29 16:54:24.0
7SM231101서대문구10호점우리동네키움센터1001우리동네키움센터11410서대문구1003초등학생126.9144837.576963690서울특별시 서대문구 거북골로14길 32관리동 2층 (북가좌동, DMC아이파크아파트)2023-12-11<NA><NA>42.01300190090018009001800N<NA><NA>N<NA>50000N<NA>2500285142.64<NA>2023-11-16 17:14:13.02023-12-19 14:53:22.0
8SP231101송파19호점 우리동네키움센터(풍납동송파키움센터)1001우리동네키움센터11710송파구1003초등학생127.11767837.5337045528서울특별시 송파구 풍성로20길 33층 (풍납동)2023-12-18<NA><NA>39.01000190090018009001800N<NA><NA>N<NA>50000N<NA>2500253130<NA>2023-11-13 17:25:04.02024-04-01 17:15:16.0
9SD230902성동13호점 우리동네키움센터(송정동아이꿈누리터)1001우리동네키움센터11200성동구1003초등학생127.0685937.5532864800서울특별시 성동구 송정18가길 95층 송정동 아이꿈누리터 (송정동 공공복합청사) (송정동)2023-10-04<NA><NA>25.01300190090018009001800N<NA><NA>N<NA>50000N<NA>250022485.62<NA>2023-09-25 09:57:18.02023-09-25 10:42:29.0
시설ID시설명서비스분류코드서비스분류명자치구코드자치구명연령구분코드연령구분X좌표값Y좌표값우편번호기본주소상세주소설립일사용료무료여부사용료전용면적(평)학기시작시간학기종료시간방학시작시간방학종료시간재량휴일시작시간재량휴일종료시간토요일운영여부토요일운영시작시간토요일운영종료시간월사용료무료여부월자기부담금월사용료일사용료무료여부일자기부담금일사용료상시돌봄정원수일시돌봄정원수전용면적(m2)자치구코드배열등록일시수정일시
248YC191101양천구 1호점 우리동네키움센터1001우리동네키움센터11470양천구1003초등학생126.84520137.5112388054서울특별시 양천구 신정로11길 20동일하이빌1단지아파트 관리동2019-09-01<NA><NA>42.71000200090018009001800N<NA><NA>N<NA>50000N<NA>2500255141<NA>2019-11-19 22:04:52.02023-12-25 17:34:04.0
249SP191102송파3호점 우리동네키움센터(삼전동 송파키움센터)1001우리동네키움센터11710송파구1003초등학생127.09495437.4991545598서울특별시 송파구 백제고분로32길 35삼전종합사회복지관 3층 삼전동 송파키움센터 (삼전동)2019-12-01<NA><NA>25.01300190090018009001800N<NA><NA>N<NA>50000N<NA>250020481<NA>2019-11-19 22:04:52.02023-11-02 19:01:00.0
250SP191103송파2호점 우리동네키움센터(송파1동 송파키움센터)1001우리동네키움센터11710송파구1003초등학생127.1097737.505975666서울특별시 송파구 백제고분로 42길 5송파여성문화회관 1층 키움센터2019-12-02<NA><NA>22.01300190090018009001800N<NA><NA>N<NA>50000N<NA>250020472<NA>2019-11-19 22:04:52.02024-03-06 10:37:02.0
251SP191104송파1호점 우리동네키움센터(잠실본동 송파키움센터)1001우리동네키움센터11710송파구1003초등학생127.08007137.5096395561서울특별시 송파구 올림픽로8길 22801호 (잠실동)2019-10-01<NA><NA>20.01300190090018009001800N<NA><NA>N<NA>50000N<NA>250020466<NA>2019-11-19 22:04:52.02023-09-14 11:37:56.0
252DM191102동대문구 2호점 우리동네키움센터(라온)1001우리동네키움센터11230동대문구1003초등학생127.0689337.57582525서울특별시 동대문구 답십리로63길 733층 (장안동)2019-08-16<NA><NA>56.01300190090018009001800N<NA><NA>N<NA>50000N<NA>2500204186.24<NA>2019-11-19 22:04:52.02024-01-09 15:46:37.0
253SB191101성북1호점 우리동네키움센터(장위1동)1001우리동네키움센터11290성북구1003초등학생127.0458437.615892755서울특별시 성북구 장위로21다길 53장위행복누림복합센터 3층 (장위동)2018-06-01<NA><NA>29.01100190090019009001900N<NA><NA>N<NA>50000N<NA>250029595<NA>2019-11-19 22:04:52.02023-10-10 09:37:05.0
254SM191102서대문1호점 우리동네키움센터(북가좌 우리동네키움센터 친구랑)1001우리동네키움센터11410서대문구1003초등학생126.9090637.578153714서울특별시 서대문구 거북골로 195-12층2019-06-03<NA><NA>64.01300190090020009002000N<NA><NA>N<NA>50000N<NA>2500285214.73<NA>2019-11-19 22:04:52.02023-09-05 14:33:23.0
255MP191101마포2호점 우리동네키움센터(망원1동)1001우리동네키움센터11440마포구1003초등학생126.9027137.553184016서울시 마포구 희우정로 77상가 1층 우리동네키움센터2019-08-22<NA><NA>30.010001900900180010001900N<NA><NA>N<NA>50000N<NA>250025599.1<NA>2019-11-19 22:04:52.02024-01-16 12:46:17.0
256DM191101동대문1호점 우리동네키움센터(희망)1001우리동네키움센터11230동대문구1003초등학생127.0303337.576112583서울특별시 동대문구 무학로 1331-2층 (용두동) (용두동)2019-07-01<NA><NA>55.91300190090018009001900N<NA><NA>N<NA>50000N<NA>2500306184.7<NA>2019-11-19 22:03:55.02023-09-07 16:20:32.0
257GN210701테스트 키움센터1001우리동네키움센터11680강남구1001영유아127.0309437.492436252서울특별시 강남구 강남대로 328(역삼동)2022-06-27<NA><NA>100.01000180090018009001800N<NA><NA>Y0<NA>Y0<NA>51100<NA>2019-01-01 09:00:00.02024-03-18 09:32:56.0