Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory45.4 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description인천광역시 평생직업 교육 분야인 남동구 학습충전소에 대한 데이터로 연번, 시설명, 주소, 수용인원, 데이터기준일자를 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15088802&srcSe=7661IVAWM27C61E190

Alerts

데이터 기준일자 has constant value ""Constant
연번 has unique valuesUnique
시설명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 10:37:38.492207
Analysis finished2024-01-28 10:37:38.847607
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-28T19:37:38.891508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2024-01-28T19:37:38.985405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

시설명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-28T19:37:39.167676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length7.8
Min length4

Characters and Unicode

Total characters234
Distinct characters133
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row아카데미창논술
2nd row담쟁이숲
3rd row행복을 담아요
4th row로제포슬린갤러리
5th row(유)아미고
ValueCountFrequency (%)
아카데미창논술 1
 
2.6%
학대피해자권익문제연구소 1
 
2.6%
꽃피는 1
 
2.6%
남촌두레 1
 
2.6%
남동하부나비 1
 
2.6%
교육공동체 1
 
2.6%
삶디자인교육협동조합 1
 
2.6%
콩세알도서관 1
 
2.6%
나눔작은도서관 1
 
2.6%
해피캠프 1
 
2.6%
Other values (29) 29
74.4%
2024-01-28T19:37:39.462430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
4.3%
8
 
3.4%
7
 
3.0%
7
 
3.0%
6
 
2.6%
5
 
2.1%
5
 
2.1%
5
 
2.1%
5
 
2.1%
4
 
1.7%
Other values (123) 172
73.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
94.4%
Space Separator 10
 
4.3%
Other Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
3.6%
7
 
3.2%
7
 
3.2%
6
 
2.7%
5
 
2.3%
5
 
2.3%
5
 
2.3%
5
 
2.3%
4
 
1.8%
4
 
1.8%
Other values (119) 165
74.7%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
94.4%
Common 13
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
3.6%
7
 
3.2%
7
 
3.2%
6
 
2.7%
5
 
2.3%
5
 
2.3%
5
 
2.3%
5
 
2.3%
4
 
1.8%
4
 
1.8%
Other values (119) 165
74.7%
Common
ValueCountFrequency (%)
10
76.9%
& 1
 
7.7%
) 1
 
7.7%
( 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
94.4%
ASCII 13
 
5.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
76.9%
& 1
 
7.7%
) 1
 
7.7%
( 1
 
7.7%
Hangul
ValueCountFrequency (%)
8
 
3.6%
7
 
3.2%
7
 
3.2%
6
 
2.7%
5
 
2.3%
5
 
2.3%
5
 
2.3%
5
 
2.3%
4
 
1.8%
4
 
1.8%
Other values (119) 165
74.7%

주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-28T19:37:39.647337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length30
Mean length23.433333
Min length10

Characters and Unicode

Total characters703
Distinct characters104
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row남동구 만수로 17 2층
2nd row인천광역시남동구 논고개고로123번길,17(논현동 아이플렉스)
3rd row남동구 남촌동 352-14 103호
4th row남동구 성말로 53번길 9-11
5th row남동구 논고개로 101, 701호
ValueCountFrequency (%)
남동구 28
 
17.8%
인천시 8
 
5.1%
인천 7
 
4.5%
인천광역시 4
 
2.5%
1층 4
 
2.5%
2층 3
 
1.9%
17 2
 
1.3%
장승로 2
 
1.3%
403호 2
 
1.3%
만수로 2
 
1.3%
Other values (89) 95
60.5%
2024-01-28T19:37:39.941436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
18.5%
45
 
6.4%
34
 
4.8%
1 34
 
4.8%
33
 
4.7%
27
 
3.8%
24
 
3.4%
2 24
 
3.4%
23
 
3.3%
3 20
 
2.8%
Other values (94) 309
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
56.5%
Decimal Number 147
 
20.9%
Space Separator 130
 
18.5%
Dash Punctuation 10
 
1.4%
Other Punctuation 7
 
1.0%
Close Punctuation 4
 
0.6%
Open Punctuation 4
 
0.6%
Uppercase Letter 3
 
0.4%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
 
11.3%
34
 
8.6%
33
 
8.3%
27
 
6.8%
24
 
6.0%
23
 
5.8%
15
 
3.8%
14
 
3.5%
14
 
3.5%
11
 
2.8%
Other values (76) 157
39.5%
Decimal Number
ValueCountFrequency (%)
1 34
23.1%
2 24
16.3%
3 20
13.6%
4 13
 
8.8%
7 13
 
8.8%
0 12
 
8.2%
5 11
 
7.5%
9 10
 
6.8%
6 6
 
4.1%
8 4
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
56.5%
Common 302
43.0%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
 
11.3%
34
 
8.6%
33
 
8.3%
27
 
6.8%
24
 
6.0%
23
 
5.8%
15
 
3.8%
14
 
3.5%
14
 
3.5%
11
 
2.8%
Other values (76) 157
39.5%
Common
ValueCountFrequency (%)
130
43.0%
1 34
 
11.3%
2 24
 
7.9%
3 20
 
6.6%
4 13
 
4.3%
7 13
 
4.3%
0 12
 
4.0%
5 11
 
3.6%
9 10
 
3.3%
- 10
 
3.3%
Other values (5) 25
 
8.3%
Latin
ValueCountFrequency (%)
A 2
50.0%
c 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
56.5%
ASCII 306
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
42.5%
1 34
 
11.1%
2 24
 
7.8%
3 20
 
6.5%
4 13
 
4.2%
7 13
 
4.2%
0 12
 
3.9%
5 11
 
3.6%
9 10
 
3.3%
- 10
 
3.3%
Other values (8) 29
 
9.5%
Hangul
ValueCountFrequency (%)
45
 
11.3%
34
 
8.6%
33
 
8.3%
27
 
6.8%
24
 
6.0%
23
 
5.8%
15
 
3.8%
14
 
3.5%
14
 
3.5%
11
 
2.8%
Other values (76) 157
39.5%

수용인원
Categorical

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
10명
15명
20명
5명
6명
Other values (4)

Length

Max length6
Median length3
Mean length2.8666667
Min length2

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row10명
2nd row10~40명
3rd row15명
4th row10명
5th row20명

Common Values

ValueCountFrequency (%)
10명 8
26.7%
15명 7
23.3%
20명 4
13.3%
5명 3
 
10.0%
6명 3
 
10.0%
18명 2
 
6.7%
10~40명 1
 
3.3%
6인 1
 
3.3%
8명 1
 
3.3%

Length

2024-01-28T19:37:40.052335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T19:37:40.144385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10명 8
26.7%
15명 7
23.3%
20명 4
13.3%
5명 3
 
10.0%
6명 3
 
10.0%
18명 2
 
6.7%
10~40명 1
 
3.3%
6인 1
 
3.3%
8명 1
 
3.3%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-07-17 00:00:00
Maximum2023-07-17 00:00:00
2024-01-28T19:37:40.225082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:37:40.290875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T19:37:38.661779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T19:37:40.342385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명주소수용인원
연번1.0001.0001.0000.000
시설명1.0001.0001.0001.000
주소1.0001.0001.0001.000
수용인원0.0001.0001.0001.000
2024-01-28T19:37:40.416374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수용인원
연번1.0000.000
수용인원0.0001.000

Missing values

2024-01-28T19:37:38.747768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:37:38.820068image/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

연번시설명주소수용인원데이터 기준일자
01아카데미창논술남동구 만수로 17 2층10명2023-07-17
12담쟁이숲인천광역시남동구 논고개고로123번길,17(논현동 아이플렉스)10~40명2023-07-17
23행복을 담아요남동구 남촌동 352-14 103호15명2023-07-17
34로제포슬린갤러리남동구 성말로 53번길 9-1110명2023-07-17
45(유)아미고남동구 논고개로 101, 701호20명2023-07-17
56인천사랑의교회남동구 남촌로 87-1115명2023-07-17
67본 파틀렌남동구 장자북로 37번길4 하기빌딩 1층15명2023-07-17
78문화공간 노닐다남동구 용천로 1410명2023-07-17
89한우리 독서문화원남동구 인주대로 623번길 11 에스파스502-2호20명2023-07-17
910꿈나무도서관인천시 남동구 만수서로 37번길 2910명2023-07-17
연번시설명주소수용인원데이터 기준일자
2021콩세알도서관인천 남동구 하촌로59번길 21(만수동, 2층)18명2023-07-17
2122나눔작은도서관인천광역시 남동구 경신상로76 1층18명2023-07-17
2223학대피해자권익문제연구소 해피캠프인천 남동구 구월말로 19-1, 2층(구월동)15명2023-07-17
2324업싸이클 샵우드공방인천 남동구 평온로5 미정빌딩 지하10명2023-07-17
2425와글와글작은도서관인천 남동구 장승로 17 3동 201호15명2023-07-17
2526해피링크인천 남동구 만수로 27번길 22-10 1층10명2023-07-17
2627책방모래네인천시 남동구 모래내로 25번길 36명2023-07-17
2728꽃&카페인천시 남동구 만수서로 87 1층 꽃카페6명2023-07-17
2829한국에듀라인평가원인천시 남동구 논고개로123번길 35 A동 9층 914호(논현동, 칼리오페),10명2023-07-17
2930모모베이킹스튜디오인천시 남동구 장승로 6번길 3 301호15명2023-07-17