Overview

Dataset statistics

Number of variables6
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory55.7 B

Variable types

Numeric1
Categorical3
Text2

Dataset

Description서울특별시 광진구의 구민 게시판에 대한 데이터를 제공합니다. 장소, 세부위치, 수수료, 벽보구경의 내용을 포함합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15036825/fileData.do

Alerts

수수료 has constant value ""Constant
벽보규격 has constant value ""Constant
연번 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
세부위치 has unique valuesUnique

Reproduction

Analysis started2024-03-23 04:56:59.460646
Analysis finished2024-03-23 04:57:01.163336
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-23T04:57:01.506383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-03-23T04:57:02.078575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

행정동
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
광장동
7 
중곡제1동
3 
중곡제3동
3 
자양제3동
3 
구의제3동
2 
Other values (5)
5 

Length

Max length5
Median length5
Mean length4.0869565
Min length2

Unique

Unique5 ?
Unique (%)21.7%

Sample

1st row중곡제1동
2nd row중곡제1동
3rd row중곡제1동
4th row중곡제3동
5th row중곡제3동

Common Values

ValueCountFrequency (%)
광장동 7
30.4%
중곡제1동 3
13.0%
중곡제3동 3
13.0%
자양제3동 3
13.0%
구의제3동 2
 
8.7%
능동 1
 
4.3%
구의제2동 1
 
4.3%
화양동 1
 
4.3%
자양제2동 1
 
4.3%
군자동 1
 
4.3%

Length

2024-03-23T04:57:02.733437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:57:03.142648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광장동 7
30.4%
중곡제1동 3
13.0%
중곡제3동 3
13.0%
자양제3동 3
13.0%
구의제3동 2
 
8.7%
능동 1
 
4.3%
구의제2동 1
 
4.3%
화양동 1
 
4.3%
자양제2동 1
 
4.3%
군자동 1
 
4.3%

장소
Text

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-23T04:57:03.860085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.7391304
Min length2

Characters and Unicode

Total characters155
Distinct characters36
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

Unique15 ?
Unique (%)65.2%

Sample

1st row동일로 324
2nd row동일로 357
3rd row동일로72길 17
4th row능동로 398
5th row용마산로8가길20-14
ValueCountFrequency (%)
아차산로 4
 
10.0%
능동로 3
 
7.5%
567 2
 
5.0%
398 2
 
5.0%
동일로 2
 
5.0%
799 2
 
5.0%
천호대로 2
 
5.0%
자양3동 2
 
5.0%
능동로27가길 1
 
2.5%
324 1
 
2.5%
Other values (19) 19
47.5%
2024-03-23T04:57:05.051790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
11.0%
로 16
 
10.3%
동 13
 
8.4%
7 9
 
5.8%
2 9
 
5.8%
3 8
 
5.2%
5 7
 
4.5%
9 7
 
4.5%
산 6
 
3.9%
능 5
 
3.2%
Other values (26) 58
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
53.5%
Decimal Number 54
34.8%
Space Separator 17
 
11.0%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 16
19.3%
동 13
15.7%
산 6
 
7.2%
능 5
 
6.0%
아 4
 
4.8%
양 4
 
4.8%
길 4
 
4.8%
차 4
 
4.8%
일 3
 
3.6%
자 3
 
3.6%
Other values (14) 21
25.3%
Decimal Number
ValueCountFrequency (%)
7 9
16.7%
2 9
16.7%
3 8
14.8%
5 7
13.0%
9 7
13.0%
8 4
7.4%
0 3
 
5.6%
6 3
 
5.6%
1 2
 
3.7%
4 2
 
3.7%
Space Separator
ValueCountFrequency (%)
17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
53.5%
Common 72
46.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 16
19.3%
동 13
15.7%
산 6
 
7.2%
능 5
 
6.0%
아 4
 
4.8%
양 4
 
4.8%
길 4
 
4.8%
차 4
 
4.8%
일 3
 
3.6%
자 3
 
3.6%
Other values (14) 21
25.3%
Common
ValueCountFrequency (%)
17
23.6%
7 9
12.5%
2 9
12.5%
3 8
11.1%
5 7
9.7%
9 7
9.7%
8 4
 
5.6%
0 3
 
4.2%
6 3
 
4.2%
1 2
 
2.8%
Other values (2) 3
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
53.5%
ASCII 72
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
23.6%
7 9
12.5%
2 9
12.5%
3 8
11.1%
5 7
9.7%
9 7
9.7%
8 4
 
5.6%
0 3
 
4.2%
6 3
 
4.2%
1 2
 
2.8%
Other values (2) 3
 
4.2%
Hangul
ValueCountFrequency (%)
로 16
19.3%
동 13
15.7%
산 6
 
7.2%
능 5
 
6.0%
아 4
 
4.8%
양 4
 
4.8%
길 4
 
4.8%
차 4
 
4.8%
일 3
 
3.6%
자 3
 
3.6%
Other values (14) 21
25.3%

세부위치
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-23T04:57:05.645747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length10.608696
Min length7

Characters and Unicode

Total characters244
Distinct characters96
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

Unique23 ?
Unique (%)100.0%

Sample

1st row군자교 동일로방향 우회전길 앞
2nd row동일로에서 중곡동 방향
3rd row중곡아파트 옆
4th row국립서울병원 정문 옆
5th row한전변전소 앞
ValueCountFrequency (%)
앞 8
 
12.7%
옆 8
 
12.7%
담장 3
 
4.8%
건너편 3
 
4.8%
강변역 2
 
3.2%
국립서울병원 2
 
3.2%
정문 2
 
3.2%
주유소 2
 
3.2%
광나루역 2
 
3.2%
공원내 1
 
1.6%
Other values (30) 30
47.6%
2024-03-23T04:57:06.916504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
16.4%
옆 8
 
3.3%
앞 8
 
3.3%
원 5
 
2.0%
장 5
 
2.0%
편 4
 
1.6%
구 4
 
1.6%
서 4
 
1.6%
전 4
 
1.6%
역 4
 
1.6%
Other values (86) 158
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 197
80.7%
Space Separator 40
 
16.4%
Decimal Number 3
 
1.2%
Uppercase Letter 2
 
0.8%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
옆 8
 
4.1%
앞 8
 
4.1%
원 5
 
2.5%
장 5
 
2.5%
편 4
 
2.0%
구 4
 
2.0%
서 4
 
2.0%
전 4
 
2.0%
역 4
 
2.0%
일 4
 
2.0%
Other values (79) 147
74.6%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 197
80.7%
Common 45
 
18.4%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
옆 8
 
4.1%
앞 8
 
4.1%
원 5
 
2.5%
장 5
 
2.5%
편 4
 
2.0%
구 4
 
2.0%
서 4
 
2.0%
전 4
 
2.0%
역 4
 
2.0%
일 4
 
2.0%
Other values (79) 147
74.6%
Common
ValueCountFrequency (%)
40
88.9%
1 2
 
4.4%
) 1
 
2.2%
4 1
 
2.2%
( 1
 
2.2%
Latin
ValueCountFrequency (%)
S 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 197
80.7%
ASCII 47
 
19.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
85.1%
1 2
 
4.3%
S 1
 
2.1%
C 1
 
2.1%
) 1
 
2.1%
4 1
 
2.1%
( 1
 
2.1%
Hangul
ValueCountFrequency (%)
옆 8
 
4.1%
앞 8
 
4.1%
원 5
 
2.5%
장 5
 
2.5%
편 4
 
2.0%
구 4
 
2.0%
서 4
 
2.0%
전 4
 
2.0%
역 4
 
2.0%
일 4
 
2.0%
Other values (79) 147
74.6%

수수료
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
10000
23 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10000
2nd row10000
3rd row10000
4th row10000
5th row10000

Common Values

ValueCountFrequency (%)
10000 23
100.0%

Length

2024-03-23T04:57:07.454114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:57:07.816228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10000 23
100.0%

벽보규격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
가로 40cm*세로 50cm
23 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가로 40cm*세로 50cm
2nd row가로 40cm*세로 50cm
3rd row가로 40cm*세로 50cm
4th row가로 40cm*세로 50cm
5th row가로 40cm*세로 50cm

Common Values

ValueCountFrequency (%)
가로 40cm*세로 50cm 23
100.0%

Length

2024-03-23T04:57:08.201559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:57:08.637270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로 23
33.3%
40cm*세로 23
33.3%
50cm 23
33.3%

Interactions

2024-03-23T04:56:59.994811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T04:57:08.983730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동장소세부위치
연번1.0000.9500.8481.000
행정동0.9501.0001.0001.000
장소0.8481.0001.0001.000
세부위치1.0001.0001.0001.000
2024-03-23T04:57:09.347621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.535
행정동0.5351.000

Missing values

2024-03-23T04:57:00.666730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:57:01.040467image/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

연번행정동장소세부위치수수료벽보규격
01중곡제1동동일로 324군자교 동일로방향 우회전길 앞10000가로 40cm*세로 50cm
12중곡제1동동일로 357동일로에서 중곡동 방향10000가로 40cm*세로 50cm
23중곡제1동동일로72길 17중곡아파트 옆10000가로 40cm*세로 50cm
34중곡제3동능동로 398국립서울병원 정문 옆10000가로 40cm*세로 50cm
45중곡제3동용마산로8가길20-14한전변전소 앞10000가로 40cm*세로 50cm
56중곡제3동능동로 398국립서울병원 담장 앞10000가로 40cm*세로 50cm
67능동능동어린이대공원 후문 담장 앞10000가로 40cm*세로 50cm
78구의제2동구의2동 산9영화사 정문 옆10000가로 40cm*세로 50cm
89광장동천호대로 799광나루역 주유소 맞은편10000가로 40cm*세로 50cm
910구의제3동강변역로 53강변역 4번출구 옆10000가로 40cm*세로 50cm
연번행정동장소세부위치수수료벽보규격
1314광장동아차산로 567광나루지구대 건너편10000가로 40cm*세로 50cm
1415화양동화양동(구)민중병원 옆10000가로 40cm*세로 50cm
1516광장동천호대로 799광나루역 주유소 옆10000가로 40cm*세로 50cm
1617광장동아차산로 522일신아파트 앞10000가로 40cm*세로 50cm
1718광장동광장동올림픽대교사거리 공원내10000가로 40cm*세로 50cm
1819자양제2동자양로 30SC제일은행 건너편10000가로 40cm*세로 50cm
1920자양제3동자양3동신자초교 마을버스 종점 앞10000가로 40cm*세로 50cm
2021자양제3동자양3동우성1차 마을버스정류장 앞10000가로 40cm*세로 50cm
2122자양제3동능동로 58한국전력공사 담장 앞10000가로 40cm*세로 50cm
2223군자동능동로27가길 25서린장모텔 옆10000가로 40cm*세로 50cm