Overview

Dataset statistics

Number of variables7
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory62.4 B

Variable types

Numeric2
Text3
Categorical2

Dataset

Description인천광역시 서구에 위치한 지역아동센터 현황(시설명, 소재지, 전화번호, 아동정원, 추가운영) 데이터가 포함된 파일입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3078095&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-05-10 22:08:47.507944
Analysis finished2024-05-10 22:08:49.740091
Duration2.23 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
2024-05-10T22:08:49.924111image/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
2024-05-10T22:08:50.328841image/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
2024-05-10T22:08:50.774210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.6666667
Min length2

Characters and Unicode

Total characters110
Distinct characters79
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowBTC
2nd row가좌
3rd row검단
4th row그레이스힐검단
5th row꿈나무
ValueCountFrequency (%)
btc 1
 
3.3%
가좌 1
 
3.3%
행복한동산 1
 
3.3%
행복한 1
 
3.3%
해바라기 1
 
3.3%
푸른솔생활학교 1
 
3.3%
푸른꿈 1
 
3.3%
진주공부방 1
 
3.3%
은가비 1
 
3.3%
위누리 1
 
3.3%
Other values (20) 20
66.7%
2024-05-10T22:08:52.126700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
 
3.6%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
2
 
1.8%
2
 
1.8%
2
 
1.8%
2
 
1.8%
Other values (69) 83
75.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107
97.3%
Uppercase Letter 3
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
3.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (66) 80
74.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
T 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107
97.3%
Latin 3
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
 
3.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (66) 80
74.8%
Latin
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107
97.3%
ASCII 3
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4
 
3.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (66) 80
74.8%
ASCII
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
T 1
33.3%

소재지
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-10T22:08:52.720947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length28.866667
Min length22

Characters and Unicode

Total characters866
Distinct characters89
Distinct categories8 ?
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 row인천광역시 서구 심곡로 193-14 (연희동)
2nd row인천광역시 서구 여우재로 99, 2층 (가좌동)
3rd row인천광역시 서구 검단로501번길 69 (마전동)
4th row인천광역시 서구 검단로 623번길 17, 2층(마전동, 동인빌딩)
5th row인천광역시 서구 가석로156번길 14, 3층 (가좌동)
ValueCountFrequency (%)
인천광역시 30
17.4%
서구 30
17.4%
가좌동 11
 
6.4%
2층 9
 
5.2%
석남동 5
 
2.9%
연희동 3
 
1.7%
마전동 3
 
1.7%
17 3
 
1.7%
14 3
 
1.7%
심곡로 2
 
1.2%
Other values (71) 73
42.4%
2024-05-10T22:08:53.910480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
 
16.4%
33
 
3.8%
32
 
3.7%
2 32
 
3.7%
1 31
 
3.6%
30
 
3.5%
( 30
 
3.5%
30
 
3.5%
30
 
3.5%
30
 
3.5%
Other values (79) 446
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 477
55.1%
Decimal Number 154
 
17.8%
Space Separator 142
 
16.4%
Open Punctuation 30
 
3.5%
Close Punctuation 30
 
3.5%
Other Punctuation 24
 
2.8%
Dash Punctuation 8
 
0.9%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
6.9%
32
 
6.7%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
21
 
4.4%
Other values (63) 181
37.9%
Decimal Number
ValueCountFrequency (%)
2 32
20.8%
1 31
20.1%
3 22
14.3%
4 12
 
7.8%
0 11
 
7.1%
7 11
 
7.1%
8 11
 
7.1%
6 9
 
5.8%
9 8
 
5.2%
5 7
 
4.5%
Space Separator
ValueCountFrequency (%)
142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 477
55.1%
Common 389
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
6.9%
32
 
6.7%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
21
 
4.4%
Other values (63) 181
37.9%
Common
ValueCountFrequency (%)
142
36.5%
2 32
 
8.2%
1 31
 
8.0%
( 30
 
7.7%
) 30
 
7.7%
, 24
 
6.2%
3 22
 
5.7%
4 12
 
3.1%
0 11
 
2.8%
7 11
 
2.8%
Other values (6) 44
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 477
55.1%
ASCII 389
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
36.5%
2 32
 
8.2%
1 31
 
8.0%
( 30
 
7.7%
) 30
 
7.7%
, 24
 
6.2%
3 22
 
5.7%
4 12
 
3.1%
0 11
 
2.8%
7 11
 
2.8%
Other values (6) 44
 
11.3%
Hangul
ValueCountFrequency (%)
33
 
6.9%
32
 
6.7%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
30
 
6.3%
21
 
4.4%
Other values (63) 181
37.9%

전화번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-10T22:08:54.403958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.1
Min length12

Characters and Unicode

Total characters363
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

Unique30 ?
Unique (%)100.0%

Sample

1st row032-568-6691
2nd row032-581-9669
3rd row070-7717-7582
4th row032-566-8920
5th row032-577-4025
ValueCountFrequency (%)
032-568-6691 1
 
3.3%
032-581-9669 1
 
3.3%
032-563-3393 1
 
3.3%
032-581-7395 1
 
3.3%
032-581-4043 1
 
3.3%
032-577-4009 1
 
3.3%
032-562-5702 1
 
3.3%
032-577-2728 1
 
3.3%
032-576-1388 1
 
3.3%
032-584-2047 1
 
3.3%
Other values (20) 20
66.7%
2024-05-10T22:08:55.332028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.5%
0 50
13.8%
5 50
13.8%
2 46
12.7%
3 42
11.6%
7 37
10.2%
6 23
 
6.3%
8 16
 
4.4%
9 14
 
3.9%
1 14
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 303
83.5%
Dash Punctuation 60
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
16.5%
5 50
16.5%
2 46
15.2%
3 42
13.9%
7 37
12.2%
6 23
7.6%
8 16
 
5.3%
9 14
 
4.6%
1 14
 
4.6%
4 11
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 363
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.5%
0 50
13.8%
5 50
13.8%
2 46
12.7%
3 42
11.6%
7 37
10.2%
6 23
 
6.3%
8 16
 
4.4%
9 14
 
3.9%
1 14
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.5%
0 50
13.8%
5 50
13.8%
2 46
12.7%
3 42
11.6%
7 37
10.2%
6 23
 
6.3%
8 16
 
4.4%
9 14
 
3.9%
1 14
 
3.9%

아동정원
Real number (ℝ)

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.533333
Minimum12
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-10T22:08:55.689033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile19
Q119
median29
Q335
95-th percentile35.55
Maximum45
Range33
Interquartile range (IQR)16

Descriptive statistics

Standard deviation7.7358696
Coefficient of variation (CV)0.28096379
Kurtosis-0.66866787
Mean27.533333
Median Absolute Deviation (MAD)6
Skewness0.044109183
Sum826
Variance59.843678
MonotonicityNot monotonic
2024-05-10T22:08:56.031529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
35 8
26.7%
19 8
26.7%
29 5
16.7%
25 2
 
6.7%
12 1
 
3.3%
24 1
 
3.3%
33 1
 
3.3%
36 1
 
3.3%
26 1
 
3.3%
23 1
 
3.3%
ValueCountFrequency (%)
12 1
 
3.3%
19 8
26.7%
23 1
 
3.3%
24 1
 
3.3%
25 2
 
6.7%
26 1
 
3.3%
29 5
16.7%
33 1
 
3.3%
35 8
26.7%
36 1
 
3.3%
ValueCountFrequency (%)
45 1
 
3.3%
36 1
 
3.3%
35 8
26.7%
33 1
 
3.3%
29 5
16.7%
26 1
 
3.3%
25 2
 
6.7%
24 1
 
3.3%
23 1
 
3.3%
19 8
26.7%

추가운영
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
기본
19 
기본+특목
기본+토요

Length

Max length5
Median length2
Mean length3.1
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기본+특목
2nd row기본
3rd row기본+토요
4th row기본
5th row기본+특목

Common Values

ValueCountFrequency (%)
기본 19
63.3%
기본+특목 7
 
23.3%
기본+토요 4
 
13.3%

Length

2024-05-10T22:08:56.456644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:08:56.800933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본 19
63.3%
기본+특목 7
 
23.3%
기본+토요 4
 
13.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-08-28
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-28
2nd row2023-08-28
3rd row2023-08-28
4th row2023-08-28
5th row2023-08-28

Common Values

ValueCountFrequency (%)
2023-08-28 30
100.0%

Length