Overview

Dataset statistics

Number of variables7
Number of observations137
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory59.0 B

Variable types

Numeric2
Text3
Categorical2

Dataset

Description인천광역시 서구 어린이 보호구역에 관한 데이터입니다. 지정년도, 관리번호, 시설구분, 시설명, 지번주소 등의 항목을 제공합니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15105603/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 지정년도High correlation
지정년도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2024-04-17 13:24:43.362894
Analysis finished2024-04-17 13:24:43.988995
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69
Minimum1
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-17T22:24:44.055984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.8
Q135
median69
Q3103
95-th percentile130.2
Maximum137
Range136
Interquartile range (IQR)68

Descriptive statistics

Standard deviation39.692569
Coefficient of variation (CV)0.57525462
Kurtosis-1.2
Mean69
Median Absolute Deviation (MAD)34
Skewness0
Sum9453
Variance1575.5
MonotonicityStrictly increasing
2024-04-17T22:24:44.186223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
96 1
 
0.7%
104 1
 
0.7%
Other values (127) 127
92.7%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%

지정년도
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.2701
Minimum1995
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-17T22:24:44.306243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1995
5-th percentile1996
Q12001
median2012
Q32015
95-th percentile2020
Maximum2022
Range27
Interquartile range (IQR)14

Descriptive statistics

Standard deviation7.9682307
Coefficient of variation (CV)0.003965734
Kurtosis-1.2205497
Mean2009.2701
Median Absolute Deviation (MAD)6
Skewness-0.29966911
Sum275270
Variance63.492701
MonotonicityNot monotonic
2024-04-17T22:24:44.414995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2013 20
14.6%
2012 15
 
10.9%
2020 10
 
7.3%
2015 9
 
6.6%
2000 8
 
5.8%
1996 7
 
5.1%
2016 7
 
5.1%
1997 7
 
5.1%
2001 6
 
4.4%
2006 6
 
4.4%
Other values (15) 42
30.7%
ValueCountFrequency (%)
1995 2
 
1.5%
1996 7
5.1%
1997 7
5.1%
1998 1
 
0.7%
1999 5
3.6%
2000 8
5.8%
2001 6
4.4%
2002 2
 
1.5%
2003 2
 
1.5%
2004 5
3.6%
ValueCountFrequency (%)
2022 2
 
1.5%
2021 4
 
2.9%
2020 10
7.3%
2018 5
 
3.6%
2017 5
 
3.6%
2016 7
 
5.1%
2015 9
6.6%
2014 1
 
0.7%
2013 20
14.6%
2012 15
10.9%

관리번호
Text

Distinct133
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-17T22:24:44.687283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1370
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

Unique129 ?
Unique (%)94.2%

Sample

1st row1995-01-01
2nd row1995-01-02
3rd row1996-01-03
4th row1996-01-04
5th row1996-01-05
ValueCountFrequency (%)
2015-03-45 2
 
1.5%
2000-01-19 2
 
1.5%
2016-01-42 2
 
1.5%
2001-01-20 2
 
1.5%
2013-03-29 1
 
0.7%
2013-03-28 1
 
0.7%
2013-03-30 1
 
0.7%
2015-03-41 1
 
0.7%
2015-03-40 1
 
0.7%
2015-03-39 1
 
0.7%
Other values (123) 123
89.8%
2024-04-17T22:24:45.092861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 340
24.8%
- 274
20.0%
2 223
16.3%
1 194
14.2%
3 115
 
8.4%
9 62
 
4.5%
5 43
 
3.1%
4 42
 
3.1%
6 33
 
2.4%
7 26
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1096
80.0%
Dash Punctuation 274
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 340
31.0%
2 223
20.3%
1 194
17.7%
3 115
 
10.5%
9 62
 
5.7%
5 43
 
3.9%
4 42
 
3.8%
6 33
 
3.0%
7 26
 
2.4%
8 18
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1370
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 340
24.8%
- 274
20.0%
2 223
16.3%
1 194
14.2%
3 115
 
8.4%
9 62
 
4.5%
5 43
 
3.1%
4 42
 
3.1%
6 33
 
2.4%
7 26
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 340
24.8%
- 274
20.0%
2 223
16.3%
1 194
14.2%
3 115
 
8.4%
9 62
 
4.5%
5 43
 
3.1%
4 42
 
3.1%
6 33
 
2.4%
7 26
 
1.9%

시설구분
Categorical

Distinct6
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
초등학교
50 
어린이집
49 
유치원
32 
학원
 
3
폐원
 
2

Length

Max length5
Median length4
Mean length3.7007299
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 50
36.5%
어린이집 49
35.8%
유치원 32
23.4%
학원 3
 
2.2%
폐원 2
 
1.5%
외국인학교 1
 
0.7%

Length

2024-04-17T22:24:45.223015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:24:45.322809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 50
36.5%
어린이집 49
35.8%
유치원 32
23.4%
학원 3
 
2.2%
폐원 2
 
1.5%
외국인학교 1
 
0.7%

시설명
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-17T22:24:45.538294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.7226277
Min length4

Characters and Unicode

Total characters921
Distinct characters181
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

Unique137 ?
Unique (%)100.0%

Sample

1st row가석초등학교
2nd row검단초등학교
3rd row서곶초등학교
4th row석남초등학교
5th row신현초등학교
ValueCountFrequency (%)
가석초등학교 1
 
0.7%
성심어린이집 1
 
0.7%
경서유치원 1
 
0.7%
해원초등학교 1
 
0.7%
은하수어린이집 1
 
0.7%
청람초등학교 1
 
0.7%
경명초등학교 1
 
0.7%
백석초등학교 1
 
0.7%
서구청직장어린이집 1
 
0.7%
예인유치원 1
 
0.7%
Other values (128) 128
92.8%
2024-04-17T22:24:45.883614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 56
 
6.1%
학 54
 
5.9%
교 51
 
5.5%
초 50
 
5.4%
어 50
 
5.4%
집 49
 
5.3%
린 49
 
5.3%
등 47
 
5.1%
원 41
 
4.5%
유 34
 
3.7%
Other values (171) 440
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 910
98.8%
Decimal Number 6
 
0.7%
Uppercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%
Space Separator 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 56
 
6.2%
학 54
 
5.9%
교 51
 
5.6%
초 50
 
5.5%
어 50
 
5.5%
집 49
 
5.4%
린 49
 
5.4%
등 47
 
5.2%
원 41
 
4.5%
유 34
 
3.7%
Other values (162) 429
47.1%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
5 1
 
16.7%
6 1
 
16.7%
3 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
J 1
50.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 910
98.8%
Common 8
 
0.9%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 56
 
6.2%
학 54
 
5.9%
교 51
 
5.6%
초 50
 
5.5%
어 50
 
5.5%
집 49
 
5.4%
린 49
 
5.4%
등 47
 
5.2%
원 41
 
4.5%
유 34
 
3.7%
Other values (162) 429
47.1%
Common
ValueCountFrequency (%)
1 3
37.5%
+ 1
 
12.5%
5 1
 
12.5%
1
 
12.5%
6 1
 
12.5%
3 1
 
12.5%
Latin
ValueCountFrequency (%)
e 1
33.3%
K 1
33.3%
J 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 910
98.8%
ASCII 11
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 56
 
6.2%
학 54
 
5.9%
교 51
 
5.6%
초 50
 
5.5%
어 50
 
5.5%
집 49
 
5.4%
린 49
 
5.4%
등 47
 
5.2%
원 41
 
4.5%
유 34
 
3.7%
Other values (162) 429
47.1%
ASCII
ValueCountFrequency (%)
1 3
27.3%
+ 1
 
9.1%
5 1
 
9.1%
1
 
9.1%
6 1
 
9.1%
e 1
 
9.1%
3 1
 
9.1%
K 1
 
9.1%
J 1
 
9.1%

지번주소
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-17T22:24:46.199403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length17.978102
Min length15

Characters and Unicode

Total characters2463
Distinct characters51
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

Unique137 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 가정동 430-37
2nd row인천광역시 서구 마전동 147-1
3rd row인천광역시 서구 연희동 745-1
4th row인천광역시 서구 석남동 109-32
5th row인천광역시 서구 신현동 291
ValueCountFrequency (%)
인천광역시 137
25.0%
서구 137
25.0%
청라동 17
 
3.1%
가좌동 14
 
2.6%
석남동 14
 
2.6%
원당동 12
 
2.2%
마전동 11
 
2.0%
당하동 11
 
2.0%
심곡동 9
 
1.6%
검암동 9
 
1.6%
Other values (144) 177
32.3%
2024-04-17T22:24:46.604199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
411
16.7%
서 144
 
5.8%
인 137
 
5.6%
광 137
 
5.6%
역 137
 
5.6%
시 137
 
5.6%
구 137
 
5.6%
천 137
 
5.6%
동 137
 
5.6%
- 116
 
4.7%
Other values (41) 833
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1374
55.8%
Decimal Number 562
22.8%
Space Separator 411
 
16.7%
Dash Punctuation 116
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 144
10.5%
인 137
10.0%
광 137
10.0%
역 137
10.0%
시 137
10.0%
구 137
10.0%
천 137
10.0%
동 137
10.0%
당 23
 
1.7%
가 21
 
1.5%
Other values (29) 227
16.5%
Decimal Number
ValueCountFrequency (%)
1 104
18.5%
2 78
13.9%
4 59
10.5%
3 54
9.6%
7 52
9.3%
8 48
8.5%
5 46
8.2%
0 44
7.8%
9 41
 
7.3%
6 36
 
6.4%
Space Separator
ValueCountFrequency (%)
411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1374
55.8%
Common 1089
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 144
10.5%
인 137
10.0%
광 137
10.0%
역 137
10.0%
시 137
10.0%
구 137
10.0%
천 137
10.0%
동 137
10.0%
당 23
 
1.7%
가 21
 
1.5%
Other values (29) 227
16.5%
Common
ValueCountFrequency (%)
411
37.7%
- 116
 
10.7%
1 104
 
9.6%
2 78
 
7.2%
4 59
 
5.4%
3 54
 
5.0%
7 52
 
4.8%
8 48
 
4.4%
5 46
 
4.2%
0 44
 
4.0%
Other values (2) 77
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1374
55.8%
ASCII 1089
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
411
37.7%
- 116
 
10.7%
1 104
 
9.6%
2 78
 
7.2%
4 59
 
5.4%
3 54
 
5.0%
7 52
 
4.8%
8 48
 
4.4%
5 46
 
4.2%
0 44
 
4.0%
Other values (2) 77
 
7.1%
Hangul
ValueCountFrequency (%)
서 144
10.5%
인 137
10.0%
광 137
10.0%
역 137
10.0%
시 137
10.0%
구 137
10.0%
천 137
10.0%
동 137
10.0%
당 23
 
1.7%
가 21
 
1.5%
Other values (29) 227
16.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2022-06-01
137 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-01
2nd row2022-06-01
3rd row2022-06-01
4th row2022-06-01
5th row2022-06-01

Common Values

ValueCountFrequency (%)
2022-06-01 137
100.0%

Length

2024-04-17T22:24:46.723066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:24:46.804305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-01 137
100.0%

Interactions

2024-04-17T22:24:43.701313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:43.555696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:43.775254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:24:43.633228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T22:24:46.851750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정년도시설구분
연번1.0000.9830.594
지정년도0.9831.0000.550
시설구분0.5940.5501.000
2024-04-17T22:24:46.931232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정년도시설구분
연번1.0000.9810.352
지정년도0.9811.0000.329
시설구분0.3520.3291.000

Missing values

2024-04-17T22:24:43.863672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T22:24:43.950891image/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

연번지정년도관리번호시설구분시설명지번주소데이터기준일자
0119951995-01-01초등학교가석초등학교인천광역시 서구 가정동 430-372022-06-01
1219951995-01-02초등학교검단초등학교인천광역시 서구 마전동 147-12022-06-01
2319961996-01-03초등학교서곶초등학교인천광역시 서구 연희동 745-12022-06-01
3419961996-01-04초등학교석남초등학교인천광역시 서구 석남동 109-322022-06-01
4519961996-01-05초등학교신현초등학교인천광역시 서구 신현동 2912022-06-01
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