Overview

Dataset statistics

Number of variables11
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory96.2 B

Variable types

Numeric5
Categorical3
Text3

Dataset

Description인천광역시 미추홀구 유치원현황에 관한 데이터이며 소재구, 학교명, 설립 기준, 우편번호, 도로명주소, 관할동, 전화번호, 학급수, 위도, 경도 등의 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087030&srcSe=7661IVAWM27C61E190

Alerts

소재구 has constant value ""Constant
연번 is highly overall correlated with 설립기준 and 1 other fieldsHigh correlation
학급수 is highly overall correlated with 설립기준High correlation
위도 is highly overall correlated with 관할동High correlation
경도 is highly overall correlated with 관할동High correlation
설립기준 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
관할동 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 has unique valuesUnique
학교명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-28 07:05:52.151523
Analysis finished2024-01-28 07:05:54.428609
Duration2.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-01-28T16:05:54.482905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2024-01-28T16:05:54.592473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

소재구
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
미추홀구
41 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미추홀구 41
100.0%

Length

2024-01-28T16:05:54.695483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:05:54.775890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구 41
100.0%

학교명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-01-28T16:05:54.950354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.804878
Min length5

Characters and Unicode

Total characters320
Distinct characters74
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

Unique41 ?
Unique (%)100.0%

Sample

1st row프라임건영유치원
2nd row밀알유치원
3rd row숭의유치원
4th row성바오로유치원
5th row유원유치원
ValueCountFrequency (%)
프라임건영유치원 1
 
2.4%
미주유치원 1
 
2.4%
용화유치원 1
 
2.4%
솔샘유치원 1
 
2.4%
국현유치원 1
 
2.4%
도담유치원 1
 
2.4%
진흥유치원 1
 
2.4%
인천용일초등학교병설유치원 1
 
2.4%
인천대화초등학교병설유치원 1
 
2.4%
인천도화초등학교병설유치원 1
 
2.4%
Other values (31) 31
75.6%
2024-01-28T16:05:55.243460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 44
13.8%
유 42
13.1%
치 41
12.8%
학 17
 
5.3%
인 14
 
4.4%
병 13
 
4.1%
등 13
 
4.1%
초 13
 
4.1%
천 13
 
4.1%
설 13
 
4.1%
Other values (64) 97
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 44
13.8%
유 42
13.1%
치 41
12.8%
학 17
 
5.3%
인 14
 
4.4%
병 13
 
4.1%
등 13
 
4.1%
초 13
 
4.1%
천 13
 
4.1%
설 13
 
4.1%
Other values (64) 97
30.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 320
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 44
13.8%
유 42
13.1%
치 41
12.8%
학 17
 
5.3%
인 14
 
4.4%
병 13
 
4.1%
등 13
 
4.1%
초 13
 
4.1%
천 13
 
4.1%
설 13
 
4.1%
Other values (64) 97
30.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 320
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 44
13.8%
유 42
13.1%
치 41
12.8%
학 17
 
5.3%
인 14
 
4.4%
병 13
 
4.1%
등 13
 
4.1%
초 13
 
4.1%
천 13
 
4.1%
설 13
 
4.1%
Other values (64) 97
30.3%

설립기준
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
사립
28 
공립
13 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 28
68.3%
공립 13
31.7%

Length

2024-01-28T16:05:55.343040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:05:55.414660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 28
68.3%
공립 13
31.7%

우편번호
Real number (ℝ)

Distinct34
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22182.927
Minimum22114
Maximum22238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-01-28T16:05:55.695585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22114
5-th percentile22116
Q122153
median22187
Q322214
95-th percentile22230
Maximum22238
Range124
Interquartile range (IQR)61

Descriptive statistics

Standard deviation37.137172
Coefficient of variation (CV)0.0016741331
Kurtosis-1.0534921
Mean22182.927
Median Absolute Deviation (MAD)31
Skewness-0.407279
Sum909500
Variance1379.1695
MonotonicityNot monotonic
2024-01-28T16:05:55.794000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
22222 4
 
9.8%
22187 2
 
4.9%
22116 2
 
4.9%
22144 2
 
4.9%
22211 2
 
4.9%
22208 1
 
2.4%
22163 1
 
2.4%
22114 1
 
2.4%
22233 1
 
2.4%
22218 1
 
2.4%
Other values (24) 24
58.5%
ValueCountFrequency (%)
22114 1
2.4%
22116 2
4.9%
22124 1
2.4%
22125 1
2.4%
22129 1
2.4%
22144 2
4.9%
22150 1
2.4%
22151 1
2.4%
22153 1
2.4%
22156 1
2.4%
ValueCountFrequency (%)
22238 1
 
2.4%
22233 1
 
2.4%
22230 1
 
2.4%
22227 1
 
2.4%
22222 4
9.8%
22218 1
 
2.4%
22215 1
 
2.4%
22214 1
 
2.4%
22213 1
 
2.4%
22211 2
4.9%

도로명주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-01-28T16:05:55.974617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length14.243902
Min length11

Characters and Unicode

Total characters584
Distinct characters59
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

Unique41 ?
Unique (%)100.0%

Sample

1st row미추홀구 남주길11번길 79
2nd row미추홀구 장고개로42번길 42
3rd row미추홀구 독배로 485
4th row미추홀구 경인남길102번길 50
5th row미추홀구 능해길 106
ValueCountFrequency (%)
미추홀구 41
33.3%
매소홀로 3
 
2.4%
19 2
 
1.6%
29 2
 
1.6%
매소홀로475번길 2
 
1.6%
주승로 2
 
1.6%
한나루로403번길 2
 
1.6%
경인로 2
 
1.6%
42 2
 
1.6%
122 1
 
0.8%
Other values (64) 64
52.0%
2024-01-28T16:05:56.279935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
14.0%
홀 48
 
8.2%
미 43
 
7.4%
추 43
 
7.4%
구 41
 
7.0%
로 36
 
6.2%
1 26
 
4.5%
길 25
 
4.3%
2 23
 
3.9%
번 20
 
3.4%
Other values (49) 197
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 350
59.9%
Decimal Number 150
25.7%
Space Separator 82
 
14.0%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 48
13.7%
미 43
12.3%
추 43
12.3%
구 41
11.7%
로 36
10.3%
길 25
 
7.1%
번 20
 
5.7%
소 9
 
2.6%
인 7
 
2.0%
주 6
 
1.7%
Other values (37) 72
20.6%
Decimal Number
ValueCountFrequency (%)
1 26
17.3%
2 23
15.3%
3 18
12.0%
4 18
12.0%
9 15
10.0%
0 13
8.7%
5 13
8.7%
7 11
7.3%
6 9
 
6.0%
8 4
 
2.7%
Space Separator
ValueCountFrequency (%)
82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 350
59.9%
Common 234
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 48
13.7%
미 43
12.3%
추 43
12.3%
구 41
11.7%
로 36
10.3%
길 25
 
7.1%
번 20
 
5.7%
소 9
 
2.6%
인 7
 
2.0%
주 6
 
1.7%
Other values (37) 72
20.6%
Common
ValueCountFrequency (%)
82
35.0%
1 26
 
11.1%
2 23
 
9.8%
3 18
 
7.7%
4 18
 
7.7%
9 15
 
6.4%
0 13
 
5.6%
5 13
 
5.6%
7 11
 
4.7%
6 9
 
3.8%
Other values (2) 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 350
59.9%
ASCII 234
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
35.0%
1 26
 
11.1%
2 23
 
9.8%
3 18
 
7.7%
4 18
 
7.7%
9 15
 
6.4%
0 13
 
5.6%
5 13
 
5.6%
7 11
 
4.7%
6 9
 
3.8%
Other values (2) 6
 
2.6%
Hangul
ValueCountFrequency (%)
홀 48
13.7%
미 43
12.3%
추 43
12.3%
구 41
11.7%
로 36
10.3%
길 25
 
7.1%
번 20
 
5.7%
소 9
 
2.6%
인 7
 
2.0%
주 6
 
1.7%
Other values (37) 72
20.6%

관할동
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
주안동
14 
학익동
9 
용현동
8 
도화동
5 
숭의동
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도화동
2nd row도화동
3rd row숭의동
4th row용현동
5th row용현동

Common Values

ValueCountFrequency (%)
주안동 14
34.1%
학익동 9
22.0%
용현동 8
19.5%
도화동 5
 
12.2%
숭의동 3
 
7.3%
문학동 2
 
4.9%

Length

2024-01-28T16:05:56.387056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:05:56.474465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주안동 14
34.1%
학익동 9
22.0%
용현동 8
19.5%
도화동 5
 
12.2%
숭의동 3
 
7.3%
문학동 2
 
4.9%

전화번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-01-28T16:05:56.646437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters328
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

Unique41 ?
Unique (%)100.0%

Sample

1st row863-6854
2nd row876-3313
3rd row885-3399
4th row875-6204
5th row883-9591
ValueCountFrequency (%)
863-6854 1
 
2.4%
875-3220 1
 
2.4%
875-6543 1
 
2.4%
429-1900 1
 
2.4%
428-6639 1
 
2.4%
422-5100 1
 
2.4%
425-0360 1
 
2.4%
629-0873 1
 
2.4%
629-1483 1
 
2.4%
629-0575 1
 
2.4%
Other values (31) 31
75.6%
2024-01-28T16:05:56.958905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 48
14.6%
- 41
12.5%
6 38
11.6%
2 37
11.3%
0 29
8.8%
9 28
8.5%
4 26
7.9%
7 23
7.0%
3 22
6.7%
5 19
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 287
87.5%
Dash Punctuation 41
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 48
16.7%
6 38
13.2%
2 37
12.9%
0 29
10.1%
9 28
9.8%
4 26
9.1%
7 23
8.0%
3 22
7.7%
5 19
 
6.6%
1 17
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 328
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 48
14.6%
- 41
12.5%
6 38
11.6%
2 37
11.3%
0 29
8.8%
9 28
8.5%
4 26
7.9%
7 23
7.0%
3 22
6.7%
5 19
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 328
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 48
14.6%
- 41
12.5%
6 38
11.6%
2 37
11.3%
0 29
8.8%
9 28
8.5%
4 26
7.9%
7 23
7.0%
3 22
6.7%
5 19
 
5.8%

학급수
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7560976
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-01-28T16:05:57.075531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5177419
Coefficient of variation (CV)0.52937138
Kurtosis-0.81794324
Mean4.7560976
Median Absolute Deviation (MAD)2
Skewness0.30979718
Sum195
Variance6.3390244
MonotonicityNot monotonic
2024-01-28T16:05:57.173573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6 8
19.5%
2 7
17.1%
3 6
14.6%
7 4
9.8%
4 4
9.8%
8 3
 
7.3%
5 3
 
7.3%
1 3
 
7.3%
10 2
 
4.9%
9 1
 
2.4%
ValueCountFrequency (%)
1 3
 
7.3%
2 7
17.1%
3 6
14.6%
4 4
9.8%
5 3
 
7.3%
6 8
19.5%
7 4
9.8%
8 3
 
7.3%
9 1
 
2.4%
10 2
 
4.9%
ValueCountFrequency (%)
10 2
 
4.9%
9 1
 
2.4%
8 3
 
7.3%
7 4
9.8%
6 8
19.5%
5 3
 
7.3%
4 4
9.8%
3 6
14.6%
2 7
17.1%
1 3
 
7.3%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.453521
Minimum37.437092
Maximum37.473986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-01-28T16:05:57.272710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.437092
5-th percentile37.440422
Q137.445616
median37.45245
Q337.460649
95-th percentile37.469019
Maximum37.473986
Range0.03689442
Interquartile range (IQR)0.01503342

Descriptive statistics

Standard deviation0.0094938045
Coefficient of variation (CV)0.0002534823
Kurtosis-0.76701908
Mean37.453521
Median Absolute Deviation (MAD)0.00701129
Skewness0.29683529
Sum1535.5944
Variance9.0132324 × 10-5
MonotonicityNot monotonic
2024-01-28T16:05:57.391773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
37.45760907 1
 
2.4%
37.47398641 1
 
2.4%
37.4681085 1
 
2.4%
37.46184967 1
 
2.4%
37.45102162 1
 
2.4%
37.448136 1
 
2.4%
37.44543878 1
 
2.4%
37.45245007 1
 
2.4%
37.46901872 1
 
2.4%
37.46314321 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
37.43709199 1
2.4%
37.4398904 1
2.4%
37.44042158 1
2.4%
37.44103426 1
2.4%
37.44170089 1
2.4%
37.44238998 1
2.4%
37.44289546 1
2.4%
37.44356467 1
2.4%
37.44494207 1
2.4%
37.44543878 1
2.4%
ValueCountFrequency (%)
37.47398641 1
2.4%
37.4705382 1
2.4%
37.46901872 1
2.4%
37.4681085 1
2.4%
37.46708661 1
2.4%
37.46608524 1
2.4%
37.46371972 1
2.4%
37.46314321 1
2.4%
37.46184967 1
2.4%
37.46136602 1
2.4%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66776
Minimum126.63187
Maximum126.6964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-01-28T16:05:57.497335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63187
5-th percentile126.63973
Q1126.65985
median126.66981
Q3126.68163
95-th percentile126.68918
Maximum126.6964
Range0.0645259
Interquartile range (IQR)0.0217798

Descriptive statistics

Standard deviation0.016147693
Coefficient of variation (CV)0.00012748068
Kurtosis-0.37795937
Mean126.66776
Median Absolute Deviation (MAD)0.0111736
Skewness-0.45419332
Sum5193.3783
Variance0.00026074799
MonotonicityNot monotonic
2024-01-28T16:05:57.596350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
126.6720813 1
 
2.4%
126.6608141 1
 
2.4%
126.6816307 1
 
2.4%
126.6963967 1
 
2.4%
126.6772212 1
 
2.4%
126.6837711 1
 
2.4%
126.6825128 1
 
2.4%
126.6633622 1
 
2.4%
126.6685307 1
 
2.4%
126.667845 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
126.6318708 1
2.4%
126.6376266 1
2.4%
126.6397288 1
2.4%
126.6410416 1
2.4%
126.6426 1
2.4%
126.6434992 1
2.4%
126.645004 1
2.4%
126.6557067 1
2.4%
126.657235 1
2.4%
126.6586364 1
2.4%
ValueCountFrequency (%)
126.6963967 1
2.4%
126.6957692 1
2.4%
126.6891756 1
2.4%
126.6865653 1
2.4%
126.6838216 1
2.4%
126.6837711 1
2.4%
126.6832235 1
2.4%
126.6828332 1
2.4%
126.6826651 1
2.4%
126.6825128 1
2.4%

Interactions

2024-01-28T16:05:53.888260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:52.516918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:52.856384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.187049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.531182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.956634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:52.588052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:52.927565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.253629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.600539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:54.024561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:52.658055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:52.991819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.315736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.673575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:54.083944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:52.719387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.051069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.383679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.745565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:54.155611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:52.789698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.120968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.464346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:05:53.820458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T16:05:57.669638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번학교명설립기준우편번호도로명주소관할동전화번호학급수위도경도
연번1.0001.0001.0000.0001.0000.7641.0000.5430.5400.748
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립기준1.0001.0001.0000.0001.0000.2311.0000.9100.0000.118
우편번호0.0001.0000.0001.0001.0000.1791.0000.2650.3580.446
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
관할동0.7641.0000.2310.1791.0001.0001.0000.3610.7970.828
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
학급수0.5431.0000.9100.2651.0000.3611.0001.0000.7450.655
위도0.5401.0000.0000.3581.0000.7971.0000.7451.0000.558
경도0.7481.0000.1180.4461.0000.8281.0000.6550.5581.000
2024-01-28T16:05:57.758583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할동설립기준
관할동1.0000.147
설립기준0.1471.000
2024-01-28T16:05:57.822628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호학급수위도경도설립기준관할동
연번1.0000.029-0.5000.0180.3400.8420.512
우편번호0.0291.0000.256-0.2350.1440.0000.153
학급수-0.5000.2561.0000.0070.2650.6670.171
위도0.018-0.2350.0071.000-0.0530.0000.545
경도0.3400.1440.265-0.0531.0000.0300.588
설립기준0.8420.0000.6670.0000.0301.0000.147
관할동0.5120.1530.1710.5450.5880.1471.000

Missing values

2024-01-28T16:05:54.265360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:05:54.386095image/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

연번소재구학교명설립기준우편번호도로명주소관할동전화번호학급수위도경도
01미추홀구프라임건영유치원사립22214미추홀구 남주길11번길 79도화동863-6854737.457609126.672081
12미추홀구밀알유치원사립22213미추홀구 장고개로42번길 42도화동876-3313937.470538126.668763
23미추홀구숭의유치원사립22124미추홀구 독배로 485숭의동885-3399337.460649126.645004
34미추홀구성바오로유치원사립22203미추홀구 경인남길102번길 50용현동875-6204637.452371126.659851
45미추홀구유원유치원사립22129미추홀구 능해길 106용현동883-9591437.457006126.6426
56미추홀구금호유치원사립22151미추홀구 매소홀로 54용현동891-0188637.450343126.631871
67미추홀구노벨유치원사립22150미추홀구 낙섬중로 74용현동884-1059337.454207126.639729
78미추홀구세종유치원사립22207미추홀구 낙섬서로 77용현동888-3456437.455942126.637627
89미추홀구소명유치원사립22227미추홀구 낙섬동로 71-1용현동884-7780737.452187126.641042
910미추홀구리틀하버드유치원사립22173미추홀구 한나루로403번길 60-3학익동872-0286237.444942126.661828
연번소재구학교명설립기준우편번호도로명주소관할동전화번호학급수위도경도
3132미추홀구인천서화초등학교병설유치원공립22233미추홀구 송림로 250도화동629-0928337.473986126.660814
3233미추홀구인천숭의초등학교병설유치원공립22114미추홀구 장천로 99숭의동629-0290137.46372126.655707
3334미추홀구인천용정초등학교병설유치원공립22163미추홀구 독정안길 26숭의동629-0987137.459437126.657235
3435미추홀구인천용학초등학교병설유치원공립22222미추홀구 용정공원로83번길 9용현동627-6300537.446763126.643499
3536미추홀구인천학익초등학교병설유치원공립22208미추홀구 한나루로403번길 122학익동629-0428237.447063126.658636
3637미추홀구인천연학초등학교병설유치원공립22188미추홀구 주승로 20학익동629-1124337.443565126.671917
3738미추홀구인천인주초등학교병설유치원공립22222미추홀구 매소홀로475번길 53학익동627-8987137.44239126.673726
3839미추홀구인천문학초등학교병설유치원공립22156미추홀구 매소홀로 553문학동629-0153237.43989126.682833
3940미추홀구인천주안초등학교병설유치원공립22211미추홀구 남주길69번길 16주안동458-9919337.454653126.673899
4041미추홀구인천경원초등학교병설유치원공립22168미추홀구 경인로 511주안동629-2143237.461366126.695769