Overview

Dataset statistics

Number of variables6
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory54.3 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description연번 25번을 추가하여 변경등록요청합니다. 행정동(풍납2동), 시설명(풍성초등학교), 주소(서울특별시 송파구 강동대로2길 13, 풍성초등학교), 세부위치(정문 앞 횡단보도(사인블록형 옐로카펫)), 설치일(2022-08-31)
Author서울특별시 송파구
URLhttps://www.data.go.kr/data/15034354/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:19:18.241393
Analysis finished2023-12-12 06:19:18.751632
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T15:19:18.815725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-12T15:19:18.942366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

행정동
Text

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T15:19:19.156152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.64
Min length3

Characters and Unicode

Total characters91
Distinct characters24
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)32.0%

Sample

1st row문정1동
2nd row가락2동
3rd row오금동
4th row석촌동
5th row풍납2동
ValueCountFrequency (%)
가락2동 5
20.0%
거여2동 3
12.0%
잠실동 3
12.0%
문정1동 2
 
8.0%
오금동 2
 
8.0%
풍납2동 2
 
8.0%
석촌동 1
 
4.0%
가락본동 1
 
4.0%
잠실본동 1
 
4.0%
장지동 1
 
4.0%
Other values (4) 4
16.0%
2023-12-12T15:19:19.538215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 25
27.5%
2 10
 
11.0%
가 6
 
6.6%
락 6
 
6.6%
거 4
 
4.4%
여 4
 
4.4%
잠 4
 
4.4%
실 4
 
4.4%
1 4
 
4.4%
납 3
 
3.3%
Other values (14) 21
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
84.6%
Decimal Number 14
 
15.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
32.5%
가 6
 
7.8%
락 6
 
7.8%
거 4
 
5.2%
여 4
 
5.2%
잠 4
 
5.2%
실 4
 
5.2%
납 3
 
3.9%
풍 3
 
3.9%
본 2
 
2.6%
Other values (12) 16
20.8%
Decimal Number
ValueCountFrequency (%)
2 10
71.4%
1 4
 
28.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
84.6%
Common 14
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
32.5%
가 6
 
7.8%
락 6
 
7.8%
거 4
 
5.2%
여 4
 
5.2%
잠 4
 
5.2%
실 4
 
5.2%
납 3
 
3.9%
풍 3
 
3.9%
본 2
 
2.6%
Other values (12) 16
20.8%
Common
ValueCountFrequency (%)
2 10
71.4%
1 4
 
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
84.6%
ASCII 14
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 25
32.5%
가 6
 
7.8%
락 6
 
7.8%
거 4
 
5.2%
여 4
 
5.2%
잠 4
 
5.2%
실 4
 
5.2%
납 3
 
3.9%
풍 3
 
3.9%
본 2
 
2.6%
Other values (12) 16
20.8%
ASCII
ValueCountFrequency (%)
2 10
71.4%
1 4
 
28.6%

시설명
Text

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T15:19:19.734653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.04
Min length6

Characters and Unicode

Total characters151
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)52.0%

Sample

1st row문정초등학교
2nd row가주초등학교
3rd row오금초등학교
4th row석촌초등학교
5th row풍성초등학교
ValueCountFrequency (%)
가동초등학교 3
 
12.0%
거원초등학교 3
 
12.0%
풍성초등학교 2
 
8.0%
신천초등학교 2
 
8.0%
가주초등학교 2
 
8.0%
송전초등학교 1
 
4.0%
문덕초등학교 1
 
4.0%
풍납초등학교 1
 
4.0%
영풍초등학교 1
 
4.0%
송파초등학교 1
 
4.0%
Other values (8) 8
32.0%
2023-12-12T15:19:20.144319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
초 25
16.6%
등 25
16.6%
학 25
16.6%
교 25
16.6%
가 6
 
4.0%
거 4
 
2.6%
풍 4
 
2.6%
주 3
 
2.0%
원 3
 
2.0%
문 3
 
2.0%
Other values (21) 28
18.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 25
16.6%
등 25
16.6%
학 25
16.6%
교 25
16.6%
가 6
 
4.0%
거 4
 
2.6%
풍 4
 
2.6%
주 3
 
2.0%
원 3
 
2.0%
문 3
 
2.0%
Other values (21) 28
18.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 151
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 25
16.6%
등 25
16.6%
학 25
16.6%
교 25
16.6%
가 6
 
4.0%
거 4
 
2.6%
풍 4
 
2.6%
주 3
 
2.0%
원 3
 
2.0%
문 3
 
2.0%
Other values (21) 28
18.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 151
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
초 25
16.6%
등 25
16.6%
학 25
16.6%
교 25
16.6%
가 6
 
4.0%
거 4
 
2.6%
풍 4
 
2.6%
주 3
 
2.0%
원 3
 
2.0%
문 3
 
2.0%
Other values (21) 28
18.5%

주소
Text

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T15:19:20.397764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length18.48
Min length16

Characters and Unicode

Total characters462
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)60.0%

Sample

1st row서울특별시 송파구 문정로5길 20
2nd row서울특별시 송파구 오금로40길 37
3rd row서울특별시 송파구 위례성대로22길 11
4th row서울특별시 송파구 가락로11길 26
5th row서울특별시 송파구 강동대로 62
ValueCountFrequency (%)
서울특별시 25
25.0%
송파구 25
25.0%
26 4
 
4.0%
양산로2길 3
 
3.0%
중대로20길 3
 
3.0%
47 3
 
3.0%
올림픽로 2
 
2.0%
215 2
 
2.0%
오금로40길 2
 
2.0%
37 2
 
2.0%
Other values (29) 29
29.0%
2023-12-12T15:19:20.777723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
16.5%
송 27
 
5.8%
서 25
 
5.4%
로 25
 
5.4%
울 25
 
5.4%
파 25
 
5.4%
구 25
 
5.4%
시 25
 
5.4%
별 25
 
5.4%
특 25
 
5.4%
Other values (45) 159
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
65.8%
Decimal Number 82
 
17.7%
Space Separator 76
 
16.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 27
8.9%
서 25
8.2%
로 25
8.2%
울 25
8.2%
파 25
8.2%
구 25
8.2%
시 25
8.2%
별 25
8.2%
특 25
8.2%
길 16
 
5.3%
Other values (34) 61
20.1%
Decimal Number
ValueCountFrequency (%)
2 19
23.2%
1 11
13.4%
4 10
12.2%
0 9
11.0%
5 9
11.0%
7 8
9.8%
3 7
 
8.5%
6 6
 
7.3%
9 2
 
2.4%
8 1
 
1.2%
Space Separator
ValueCountFrequency (%)
76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
65.8%
Common 158
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 27
8.9%
서 25
8.2%
로 25
8.2%
울 25
8.2%
파 25
8.2%
구 25
8.2%
시 25
8.2%
별 25
8.2%
특 25
8.2%
길 16
 
5.3%
Other values (34) 61
20.1%
Common
ValueCountFrequency (%)
76
48.1%
2 19
 
12.0%
1 11
 
7.0%
4 10
 
6.3%
0 9
 
5.7%
5 9
 
5.7%
7 8
 
5.1%
3 7
 
4.4%
6 6
 
3.8%
9 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
65.8%
ASCII 158
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
48.1%
2 19
 
12.0%
1 11
 
7.0%
4 10
 
6.3%
0 9
 
5.7%
5 9
 
5.7%
7 8
 
5.1%
3 7
 
4.4%
6 6
 
3.8%
9 2
 
1.3%
Hangul
ValueCountFrequency (%)
송 27
8.9%
서 25
8.2%
로 25
8.2%
울 25
8.2%
파 25
8.2%
구 25
8.2%
시 25
8.2%
별 25
8.2%
특 25
8.2%
길 16
 
5.3%
Other values (34) 61
20.1%

세부위치
Text

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T15:19:20.985764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length16.12
Min length9

Characters and Unicode

Total characters403
Distinct characters35
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

Unique6 ?
Unique (%)24.0%

Sample

1st row정문 앞 횡단보도
2nd row정문 좌측 횡단보도(사인블록형 옐로카펫)
3rd row정문 앞 횡단보도
4th row정문 우측 횡단보도
5th row정문 우측 횡단보도
ValueCountFrequency (%)
정문 15
17.0%
옐로카펫 13
14.8%
횡단보도 12
13.6%
주변 11
12.5%
횡단보도(사인블록형 9
10.2%
앞 8
9.1%
후문 6
 
6.8%
교차로(사인블록형 4
 
4.5%
사잇길 3
 
3.4%
우측 2
 
2.3%
Other values (5) 5
 
5.7%
2023-12-12T15:19:21.331982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
15.6%
횡 21
 
5.2%
단 21
 
5.2%
보 21
 
5.2%
도 21
 
5.2%
문 21
 
5.2%
로 18
 
4.5%
사 16
 
4.0%
정 15
 
3.7%
록 13
 
3.2%
Other values (25) 173
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
77.9%
Space Separator 63
 
15.6%
Close Punctuation 13
 
3.2%
Open Punctuation 13
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
횡 21
 
6.7%
단 21
 
6.7%
보 21
 
6.7%
도 21
 
6.7%
문 21
 
6.7%
로 18
 
5.7%
사 16
 
5.1%
정 15
 
4.8%
록 13
 
4.1%
펫 13
 
4.1%
Other values (22) 134
42.7%
Space Separator
ValueCountFrequency (%)
63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
77.9%
Common 89
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
횡 21
 
6.7%
단 21
 
6.7%
보 21
 
6.7%
도 21
 
6.7%
문 21
 
6.7%
로 18
 
5.7%
사 16
 
5.1%
정 15
 
4.8%
록 13
 
4.1%
펫 13
 
4.1%
Other values (22) 134
42.7%
Common
ValueCountFrequency (%)
63
70.8%
) 13
 
14.6%
( 13
 
14.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
77.9%
ASCII 89
 
22.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
70.8%
) 13
 
14.6%
( 13
 
14.6%
Hangul
ValueCountFrequency (%)
횡 21
 
6.7%
단 21
 
6.7%
보 21
 
6.7%
도 21
 
6.7%
문 21
 
6.7%
로 18
 
5.7%
사 16
 
5.1%
정 15
 
4.8%
록 13
 
4.1%
펫 13
 
4.1%
Other values (22) 134
42.7%

설치일
Date

Distinct11
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2016-10-20 00:00:00
Maximum2022-08-31 00:00:00
2023-12-12T15:19:21.506691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:19:21.671052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

Interactions

2023-12-12T15:19:18.494487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:19:21.784302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동시설명주소세부위치설치일
연번1.0000.7500.7950.8390.7300.612
행정동0.7501.0001.0001.0000.5610.944
시설명0.7951.0001.0001.0000.0000.956
주소0.8391.0001.0001.0000.0000.993
세부위치0.7300.5610.0000.0001.0000.704
설치일0.6120.9440.9560.9930.7041.000

Missing values

2023-12-12T15:19:18.595874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:19:18.703287image/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

연번행정동시설명주소세부위치설치일
01문정1동문정초등학교서울특별시 송파구 문정로5길 20정문 앞 횡단보도2020-11-30
12가락2동가주초등학교서울특별시 송파구 오금로40길 37정문 좌측 횡단보도(사인블록형 옐로카펫)2020-11-30
23오금동오금초등학교서울특별시 송파구 위례성대로22길 11정문 앞 횡단보도2016-10-20
34석촌동석촌초등학교서울특별시 송파구 가락로11길 26정문 우측 횡단보도2016-10-20
45풍납2동풍성초등학교서울특별시 송파구 강동대로 62정문 우측 횡단보도2017-06-21
56가락본동신가초등학교서울특별시 송파구 송이로 75정문 앞 횡단보도2017-06-22
67잠실본동아주초등학교서울특별시 송파구 올림픽로4길 59정문 앞 횡단보도(사인블록형 옐로카펫)2020-11-30
78장지동문현초등학교서울특별시 송파구 충민로 137정문 앞 교차로(사인블록형 옐로카펫)2019-11-27
89오금동거여초등학교서울특별시 송파구 마천로25길 18정문 앞 횡단보도2017-06-23
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