Overview

Dataset statistics

Number of variables10
Number of observations24
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory89.5 B

Variable types

Text5
Numeric4
Categorical1

Dataset

Description파일 다운로드
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-21849/F/1/datasetView.do

Alerts

기준일자 has constant value ""Constant
정원(명) is highly overall correlated with 면적(제곱미터)High correlation
면적(제곱미터) is highly overall correlated with 정원(명)High correlation
상세주소 has 1 (4.2%) missing valuesMissing
지역아동센터명 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
전화번호 has unique valuesUnique
면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2023-12-11 10:15:37.784290
Analysis finished2023-12-11 10:15:40.247012
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역아동센터명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T19:15:40.418776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length3.875
Min length2

Characters and Unicode

Total characters93
Distinct characters67
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row구로(장애통합)
2nd row구로구 공립
3rd row구로파랑새나눔터공부방
4th row구로푸른학교
5th row구로행복한
ValueCountFrequency (%)
구로(장애통합 1
 
4.0%
새솜 1
 
4.0%
함사람 1
 
4.0%
한사랑 1
 
4.0%
하모니 1
 
4.0%
푸르미 1
 
4.0%
평화만들기 1
 
4.0%
지구촌 1
 
4.0%
은혜 1
 
4.0%
우신 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T19:15:40.836017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 7
 
7.5%
로 5
 
5.4%
기 3
 
3.2%
터 3
 
3.2%
새 2
 
2.2%
사 2
 
2.2%
메 2
 
2.2%
리 2
 
2.2%
한 2
 
2.2%
교 2
 
2.2%
Other values (57) 63
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90
96.8%
Open Punctuation 1
 
1.1%
Space Separator 1
 
1.1%
Close Punctuation 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7
 
7.8%
로 5
 
5.6%
기 3
 
3.3%
터 3
 
3.3%
새 2
 
2.2%
사 2
 
2.2%
메 2
 
2.2%
리 2
 
2.2%
한 2
 
2.2%
교 2
 
2.2%
Other values (54) 60
66.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90
96.8%
Common 3
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7
 
7.8%
로 5
 
5.6%
기 3
 
3.3%
터 3
 
3.3%
새 2
 
2.2%
사 2
 
2.2%
메 2
 
2.2%
리 2
 
2.2%
한 2
 
2.2%
교 2
 
2.2%
Other values (54) 60
66.7%
Common
ValueCountFrequency (%)
( 1
33.3%
1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90
96.8%
ASCII 3
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 7
 
7.8%
로 5
 
5.6%
기 3
 
3.3%
터 3
 
3.3%
새 2
 
2.2%
사 2
 
2.2%
메 2
 
2.2%
리 2
 
2.2%
한 2
 
2.2%
교 2
 
2.2%
Other values (54) 60
66.7%
ASCII
ValueCountFrequency (%)
( 1
33.3%
1
33.3%
) 1
33.3%

도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T19:15:41.096120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19
Min length16

Characters and Unicode

Total characters456
Distinct characters45
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 도림로 4-3
2nd row서울특별시 구로구 천왕로 32
3rd row서울특별시 구로구 구로동로38길 32
4th row서울특별시 구로구 가마산로23길 27
5th row서울특별시 구로구 개봉로15길 42
ValueCountFrequency (%)
서울특별시 24
25.0%
구로구 24
25.0%
32 3
 
3.1%
고척로52길 2
 
2.1%
경서로 2
 
2.1%
개봉로11길 2
 
2.1%
구로동로8길 2
 
2.1%
고척로 2
 
2.1%
27 1
 
1.0%
남부순환로 1
 
1.0%
Other values (33) 33
34.4%
2023-12-11T19:15:41.560830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
15.8%
구 52
11.4%
로 52
11.4%
서 26
 
5.7%
특 24
 
5.3%
별 24
 
5.3%
시 24
 
5.3%
울 24
 
5.3%
1 20
 
4.4%
2 17
 
3.7%
Other values (35) 121
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
63.6%
Decimal Number 88
 
19.3%
Space Separator 72
 
15.8%
Dash Punctuation 6
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 52
17.9%
로 52
17.9%
서 26
9.0%
특 24
8.3%
별 24
8.3%
시 24
8.3%
울 24
8.3%
길 16
 
5.5%
척 6
 
2.1%
고 6
 
2.1%
Other values (23) 36
12.4%
Decimal Number
ValueCountFrequency (%)
1 20
22.7%
2 17
19.3%
3 9
10.2%
9 8
 
9.1%
8 8
 
9.1%
5 8
 
9.1%
6 5
 
5.7%
7 5
 
5.7%
4 5
 
5.7%
0 3
 
3.4%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
63.6%
Common 166
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 52
17.9%
로 52
17.9%
서 26
9.0%
특 24
8.3%
별 24
8.3%
시 24
8.3%
울 24
8.3%
길 16
 
5.5%
척 6
 
2.1%
고 6
 
2.1%
Other values (23) 36
12.4%
Common
ValueCountFrequency (%)
72
43.4%
1 20
 
12.0%
2 17
 
10.2%
3 9
 
5.4%
9 8
 
4.8%
8 8
 
4.8%
5 8
 
4.8%
- 6
 
3.6%
6 5
 
3.0%
7 5
 
3.0%
Other values (2) 8
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
63.6%
ASCII 166
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
43.4%
1 20
 
12.0%
2 17
 
10.2%
3 9
 
5.4%
9 8
 
4.8%
8 8
 
4.8%
5 8
 
4.8%
- 6
 
3.6%
6 5
 
3.0%
7 5
 
3.0%
Other values (2) 8
 
4.8%
Hangul
ValueCountFrequency (%)
구 52
17.9%
로 52
17.9%
서 26
9.0%
특 24
8.3%
별 24
8.3%
시 24
8.3%
울 24
8.3%
길 16
 
5.5%
척 6
 
2.1%
고 6
 
2.1%
Other values (23) 36
12.4%

지번주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T19:15:41.794792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.208333
Min length17

Characters and Unicode

Total characters461
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 구로동 801-52
2nd row서울특별시 구로구 천왕동 277-13
3rd row서울특별시 구로구 구로동 447-7
4th row서울특별시 구로구 구로동 100
5th row서울특별시 구로구 개봉동 332-11
ValueCountFrequency (%)
서울특별시 24
25.0%
구로구 24
25.0%
구로동 7
 
7.3%
개봉동 7
 
7.3%
고척동 3
 
3.1%
오류동 3
 
3.1%
궁동 2
 
2.1%
가리봉동 1
 
1.0%
213-27 1
 
1.0%
328 1
 
1.0%
Other values (23) 23
24.0%
2023-12-11T19:15:42.114096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
15.6%
구 55
11.9%
로 31
 
6.7%
서 24
 
5.2%
울 24
 
5.2%
특 24
 
5.2%
별 24
 
5.2%
시 24
 
5.2%
동 24
 
5.2%
3 22
 
4.8%
Other values (21) 137
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
57.0%
Decimal Number 105
 
22.8%
Space Separator 72
 
15.6%
Dash Punctuation 21
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 55
20.9%
로 31
11.8%
서 24
9.1%
울 24
9.1%
특 24
9.1%
별 24
9.1%
시 24
9.1%
동 24
9.1%
봉 8
 
3.0%
개 7
 
2.7%
Other values (9) 18
 
6.8%
Decimal Number
ValueCountFrequency (%)
3 22
21.0%
1 17
16.2%
4 15
14.3%
2 15
14.3%
7 13
12.4%
0 7
 
6.7%
5 6
 
5.7%
8 4
 
3.8%
9 4
 
3.8%
6 2
 
1.9%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
57.0%
Common 198
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 55
20.9%
로 31
11.8%
서 24
9.1%
울 24
9.1%
특 24
9.1%
별 24
9.1%
시 24
9.1%
동 24
9.1%
봉 8
 
3.0%
개 7
 
2.7%
Other values (9) 18
 
6.8%
Common
ValueCountFrequency (%)
72
36.4%
3 22
 
11.1%
- 21
 
10.6%
1 17
 
8.6%
4 15
 
7.6%
2 15
 
7.6%
7 13
 
6.6%
0 7
 
3.5%
5 6
 
3.0%
8 4
 
2.0%
Other values (2) 6
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
57.0%
ASCII 198
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
36.4%
3 22
 
11.1%
- 21
 
10.6%
1 17
 
8.6%
4 15
 
7.6%
2 15
 
7.6%
7 13
 
6.6%
0 7
 
3.5%
5 6
 
3.0%
8 4
 
2.0%
Other values (2) 6
 
3.0%
Hangul
ValueCountFrequency (%)
구 55
20.9%
로 31
11.8%
서 24
9.1%
울 24
9.1%
특 24
9.1%
별 24
9.1%
시 24
9.1%
동 24
9.1%
봉 8
 
3.0%
개 7
 
2.7%
Other values (9) 18
 
6.8%

위도
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.494161
Minimum37.478889
Maximum37.504972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T19:15:42.243850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.478889
5-th percentile37.481265
Q137.488574
median37.495622
Q337.500201
95-th percentile37.503433
Maximum37.504972
Range0.02608279
Interquartile range (IQR)0.01162732

Descriptive statistics

Standard deviation0.0072820111
Coefficient of variation (CV)0.0001942172
Kurtosis-0.60545416
Mean37.494161
Median Absolute Deviation (MAD)0.005978985
Skewness-0.44479841
Sum899.85987
Variance5.3027686 × 10-5
MonotonicityNot monotonic
2023-12-11T19:15:42.371011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
37.48514285 1
 
4.2%
37.49392857 1
 
4.2%
37.49642443 1
 
4.2%
37.50353289 1
 
4.2%
37.48810135 1
 
4.2%
37.48873171 1
 
4.2%
37.50149371 1
 
4.2%
37.4974775 1
 
4.2%
37.47888923 1
 
4.2%
37.50497202 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
37.47888923 1
4.2%
37.48058059 1
4.2%
37.48514285 1
4.2%
37.48725884 1
4.2%
37.48753576 1
4.2%
37.48810135 1
4.2%
37.48873171 1
4.2%
37.48953574 1
4.2%
37.48991022 1
4.2%
37.49392857 1
4.2%
ValueCountFrequency (%)
37.50497202 1
4.2%
37.50353289 1
4.2%
37.50286612 1
4.2%
37.50268658 1
4.2%
37.50149371 1
4.2%
37.50078398 1
4.2%
37.50000726 1
4.2%
37.4974775 1
4.2%
37.4969978 1
4.2%
37.49689827 1
4.2%

경도
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.86172
Minimum126.83006
Maximum126.89433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T19:15:42.507710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.83006
5-th percentile126.83255
Q1126.84391
median126.85608
Q3126.88653
95-th percentile126.89251
Maximum126.89433
Range0.064266
Interquartile range (IQR)0.042613375

Descriptive statistics

Standard deviation0.02136772
Coefficient of variation (CV)0.00016843315
Kurtosis-1.3610536
Mean126.86172
Median Absolute Deviation (MAD)0.01587225
Skewness0.30550216
Sum3044.6814
Variance0.00045657947
MonotonicityNot monotonic
2023-12-11T19:15:42.618438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.8868332 1
 
4.2%
126.8502298 1
 
4.2%
126.839718 1
 
4.2%
126.8613448 1
 
4.2%
126.8871565 1
 
4.2%
126.8543141 1
 
4.2%
126.8585145 1
 
4.2%
126.8312817 1
 
4.2%
126.8943284 1
 
4.2%
126.8565519 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
126.8300624 1
4.2%
126.8312817 1
4.2%
126.839718 1
4.2%
126.8397853 1
4.2%
126.840627 1
4.2%
126.841369 1
4.2%
126.8447603 1
4.2%
126.8502298 1
4.2%
126.8536485 1
4.2%
126.8542006 1
4.2%
ValueCountFrequency (%)
126.8943284 1
4.2%
126.892606 1
4.2%
126.8919466 1
4.2%
126.8884047 1
4.2%
126.8871565 1
4.2%
126.8868332 1
4.2%
126.8864234 1
4.2%
126.8846247 1
4.2%
126.8613448 1
4.2%
126.8585145 1
4.2%

상세주소
Text

MISSING 

Distinct19
Distinct (%)82.6%
Missing1
Missing (%)4.2%
Memory size324.0 B
2023-12-11T19:15:42.808497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length8.3478261
Min length2

Characters and Unicode

Total characters192
Distinct characters53
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)73.9%

Sample

1st row3층
2nd row천왕에이스프라자 306호/307호
3rd row3층
4th row202호/203호/204호
5th row2층
ValueCountFrequency (%)
3층 5
 
12.8%
2층 3
 
7.7%
201호 3
 
7.7%
303호 2
 
5.1%
304호 1
 
2.6%
우신상가 1
 
2.6%
대신상가 1
 
2.6%
101호 1
 
2.6%
1층 1
 
2.6%
502/503호 1
 
2.6%
Other values (20) 20
51.3%
2023-12-11T19:15:43.169298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20
 
10.4%
호 18
 
9.4%
3 17
 
8.9%
17
 
8.9%
2 12
 
6.2%
1 12
 
6.2%
층 10
 
5.2%
동 6
 
3.1%
4 5
 
2.6%
가 5
 
2.6%
Other values (43) 70
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
48.4%
Decimal Number 71
37.0%
Space Separator 17
 
8.9%
Other Punctuation 6
 
3.1%
Uppercase Letter 4
 
2.1%
Math Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 18
19.4%
층 10
 
10.8%
동 6
 
6.5%
가 5
 
5.4%
상 5
 
5.4%
아 4
 
4.3%
파 4
 
4.3%
트 4
 
4.3%
대 3
 
3.2%
신 3
 
3.2%
Other values (27) 31
33.3%
Decimal Number
ValueCountFrequency (%)
0 20
28.2%
3 17
23.9%
2 12
16.9%
1 12
16.9%
4 5
 
7.0%
5 3
 
4.2%
7 1
 
1.4%
6 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
A 1
25.0%
P 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
66.7%
. 2
33.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 95
49.5%
Hangul 93
48.4%
Latin 4
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 18
19.4%
층 10
 
10.8%
동 6
 
6.5%
가 5
 
5.4%
상 5
 
5.4%
아 4
 
4.3%
파 4
 
4.3%
트 4
 
4.3%
대 3
 
3.2%
신 3
 
3.2%
Other values (27) 31
33.3%
Common
ValueCountFrequency (%)
0 20
21.1%
3 17
17.9%
17
17.9%
2 12
12.6%
1 12
12.6%
4 5
 
5.3%
/ 4
 
4.2%
5 3
 
3.2%
. 2
 
2.1%
7 1
 
1.1%
Other values (2) 2
 
2.1%
Latin
ValueCountFrequency (%)
T 1
25.0%
A 1
25.0%
P 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99
51.6%
Hangul 93
48.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20
20.2%
3 17
17.2%
17
17.2%
2 12
12.1%
1 12
12.1%
4 5
 
5.1%
/ 4
 
4.0%
5 3
 
3.0%
. 2
 
2.0%
T 1
 
1.0%
Other values (6) 6
 
6.1%
Hangul
ValueCountFrequency (%)
호 18
19.4%
층 10
 
10.8%
동 6
 
6.5%
가 5
 
5.4%
상 5
 
5.4%
아 4
 
4.3%
파 4
 
4.3%
트 4
 
4.3%
대 3
 
3.2%
신 3
 
3.2%
Other values (27) 31
33.3%

정원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.875
Minimum19
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T19:15:43.320758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median31
Q333.25
95-th percentile37.85
Maximum39
Range20
Interquartile range (IQR)14.25

Descriptive statistics

Standard deviation7.2968874
Coefficient of variation (CV)0.26177174
Kurtosis-1.6236182
Mean27.875
Median Absolute Deviation (MAD)6
Skewness-0.12741815
Sum669
Variance53.244565
MonotonicityNot monotonic
2023-12-11T19:15:43.462866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
19 8
33.3%
25 3
 
12.5%
33 3
 
12.5%
32 3
 
12.5%
34 2
 
8.3%
39 1
 
4.2%
37 1
 
4.2%
38 1
 
4.2%
35 1
 
4.2%
30 1
 
4.2%
ValueCountFrequency (%)
19 8
33.3%
25 3
 
12.5%
30 1
 
4.2%
32 3
 
12.5%
33 3
 
12.5%
34 2
 
8.3%
35 1
 
4.2%
37 1
 
4.2%
38 1
 
4.2%
39 1
 
4.2%
ValueCountFrequency (%)
39 1
 
4.2%
38 1
 
4.2%
37 1
 
4.2%
35 1
 
4.2%
34 2
 
8.3%
33 3
 
12.5%
32 3
 
12.5%
30 1
 
4.2%
25 3
 
12.5%
19 8
33.3%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T19:15:43.666894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.708333
Min length11

Characters and Unicode

Total characters281
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row02-837-4395
2nd row02-2615-9060
3rd row02-838-5679
4th row02-866-0615
5th row02-2615-9064
ValueCountFrequency (%)
02-837-4395 1
 
4.2%
02-2615-9060 1
 
4.2%
02-2681-8114 1
 
4.2%
02-858-7988 1
 
4.2%
02-2613-4483 1
 
4.2%
02-816-1515 1
 
4.2%
02-2613-9895 1
 
4.2%
02-865-2006 1
 
4.2%
02-2681-8946 1
 
4.2%
02-2611-8041 1
 
4.2%
Other values (14) 14
58.3%
2023-12-11T19:15:44.429147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
17.1%
0 38
13.5%
2 38
13.5%
6 37
13.2%
8 28
10.0%
1 22
7.8%
5 19
 
6.8%
3 14
 
5.0%
4 13
 
4.6%
9 12
 
4.3%
Other values (2) 12
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 232
82.6%
Dash Punctuation 48
 
17.1%
Space Separator 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38
16.4%
2 38
16.4%
6 37
15.9%
8 28
12.1%
1 22
9.5%
5 19
8.2%
3 14
 
6.0%
4 13
 
5.6%
9 12
 
5.2%
7 11
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 281
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
17.1%
0 38
13.5%
2 38
13.5%
6 37
13.2%
8 28
10.0%
1 22
7.8%
5 19
 
6.8%
3 14
 
5.0%
4 13
 
4.6%
9 12
 
4.3%
Other values (2) 12
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 281
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
17.1%
0 38
13.5%
2 38
13.5%
6 37
13.2%
8 28
10.0%
1 22
7.8%
5 19
 
6.8%
3 14
 
5.0%
4 13
 
4.6%
9 12
 
4.3%
Other values (2) 12
 
4.3%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.89029
Minimum69.08
Maximum198.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T19:15:44.636742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.08
5-th percentile72.967
Q192.65
median108.367
Q3125.61
95-th percentile152.765
Maximum198.7
Range129.62
Interquartile range (IQR)32.96

Descriptive statistics

Standard deviation28.873404
Coefficient of variation (CV)0.25805102
Kurtosis2.2487732
Mean111.89029
Median Absolute Deviation (MAD)18.135
Skewness1.1071313
Sum2685.367
Variance833.67345
MonotonicityNot monotonic
2023-12-11T19:15:44.822366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
71.02 1
 
4.2%
112.82 1
 
4.2%
94.71 1
 
4.2%
69.08 1
 
4.2%
99.663 1
 
4.2%
102.6 1
 
4.2%
124.27 1
 
4.2%
198.7 1
 
4.2%
113.23 1
 
4.2%
108.89 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
69.08 1
4.2%
71.02 1
4.2%
84.0 1
4.2%
84.57 1
4.2%
86.44 1
4.2%
88.0 1
4.2%
94.2 1
4.2%
94.71 1
4.2%
99.663 1
4.2%
102.6 1
4.2%
ValueCountFrequency (%)
198.7 1
4.2%
154.7 1
4.2%
141.8 1
4.2%
135.5 1
4.2%
134.92 1
4.2%
129.63 1
4.2%
124.27 1
4.2%
123.83 1
4.2%
119.35 1
4.2%
113.23 1
4.2%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-04-27
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-27
2nd row2023-04-27
3rd row2023-04-27
4th row2023-04-27
5th row2023-04-27

Common Values

ValueCountFrequency (%)
2023-04-27 24
100.0%

Length

2023-12-11T19:15:44.973772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:15:45.083251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-27 24
100.0%

Interactions

2023-12-11T19:15:39.511742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:38.147239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:38.593562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:39.060916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:39.623872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:38.241030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:38.701890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:39.167554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:39.761110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:38.388272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:38.829647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:39.294792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:39.860048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:38.506804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:38.969884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:15:39.398334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T19:15:45.172547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역아동센터명도로명주소지번주소위도경도상세주소정원(명)전화번호면적(제곱미터)
지역아동센터명1.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.3280.6630.0001.0000.610
경도1.0001.0001.0000.3281.0000.9040.4651.0000.000
상세주소1.0001.0001.0000.6630.9041.0000.5631.0000.838
정원(명)1.0001.0001.0000.0000.4650.5631.0001.0000.665
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
면적(제곱미터)1.0001.0001.0000.6100.0000.8380.6651.0001.000
2023-12-11T19:15:45.335406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도정원(명)면적(제곱미터)
위도1.000-0.100-0.212-0.053
경도-0.1001.000-0.161-0.314
정원(명)-0.212-0.1611.0000.789
면적(제곱미터)-0.053-0.3140.7891.000

Missing values

2023-12-11T19:15:39.998975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T19:15:40.187943image/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

지역아동센터명도로명주소지번주소위도경도상세주소정원(명)전화번호면적(제곱미터)기준일자
0구로(장애통합)서울특별시 구로구 도림로 4-3서울특별시 구로구 구로동 801-5237.485143126.8868333층1902-837-439571.022023-04-27
1구로구 공립서울특별시 구로구 천왕로 32서울특별시 구로구 천왕동 277-1337.480581126.839785천왕에이스프라자 306호/307호3902-2615-9060141.82023-04-27
2구로파랑새나눔터공부방서울특별시 구로구 구로동로38길 32서울특별시 구로구 구로동 447-737.494819126.8846253층3702-838-5679123.832023-04-27
3구로푸른학교서울특별시 구로구 가마산로23길 27서울특별시 구로구 구로동 10037.496624126.888405202호/203호/204호2502-866-0615135.52023-04-27
4구로행복한서울특별시 구로구 개봉로15길 42서울특별시 구로구 개봉동 332-1137.48991126.8536492층3302-2615-9064119.352023-04-27
5그루터기배움터서울특별시 구로구 고척로21나길 17서울특별시 구로구 개봉동 33-3037.502687126.84476현대빌딩 3층3802-6738-6747134.922023-04-27
6금강서울특별시 구로구 고척로52길 98서울특별시 구로구 개봉동 452-737.500784126.8556052층2502-6339-367594.22023-04-27
7꿈나래서울특별시 구로구 고척로6길 29서울특별시 구로구 오류동 13-19437.496998126.8406273층3302-3666-0102129.632023-04-27
8꿈의학교서울특별시 구로구 개봉로12길 9-30서울특별시 구로구 개봉동 264-2737.489536126.8570212층3202-2615-9062107.8442023-04-27
9누리서울특별시 구로구 구로동로8길 31서울특별시 구로구 구로동 745-4237.487259126.8864234층2502-866-315786.442023-04-27
지역아동센터명도로명주소지번주소위도경도상세주소정원(명)전화번호면적(제곱미터)기준일자
14영문서울특별시 구로구 개봉로11길 35-9서울특별시 구로구 개봉동 351-2237.487536126.854201301호3502-2614-9674154.72023-04-27
15우신서울특별시 구로구 오리로 1265서울특별시 구로구 궁동 213-2737.494671126.830062우신상가 304호1902-2611-804184.02023-04-27
16은혜서울특별시 구로구 고척로52길 9서울특별시 구로구 고척동 32837.504972126.856552양우A.P.T 101동 상가 201호3202-2681-8946108.892023-04-27
17지구촌서울특별시 구로구 남부순환로 1291서울특별시 구로구 가리봉동 137-537.478889126.894328영진빌딩 B동 201호3402-865-2006113.232023-04-27
18평화만들기서울특별시 구로구 오리로20길 32서울특별시 구로구 궁동 178-1437.497478126.831282201호3202-2613-9895198.72023-04-27
19푸르미서울특별시 구로구 경서로 47서울특별시 구로구 고척동 134-3337.501494126.858514502/503호3302-816-1515124.272023-04-27
20하모니서울특별시 구로구 개봉로11길 28-15서울특별시 구로구 개봉동 344-2937.488732126.8543141층1902-2613-4483102.62023-04-27
21한사랑서울특별시 구로구 구로동로8길 56서울특별시 구로구 구로동 750-1937.488101126.887157101호3002-858-798899.6632023-04-27
22함사람서울특별시 구로구 경서로 82-14서울특별시 구로구 고척동 173-3237.503533126.861345대신상가 303호1902-2681-811469.082023-04-27
23해피서울특별시 구로구 고척로 19서울특별시 구로구 오류동 9-6437.496424126.839718한백고은아파트 303호1902-6369-255694.712023-04-27