Overview

Dataset statistics

Number of variables8
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory68.8 B

Variable types

Numeric2
Categorical1
Text4
DateTime1

Dataset

Description인천광역시 서구 관내에 위치한 초등학교(구분, 학교명, 학생수, 소재지, 교무실 전화번호, 행정실 전화번호) 현행 데이터 입니다.
URLhttps://www.data.go.kr/data/15089440/fileData.do

Alerts

구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
학교명 has unique valuesUnique
소재지 has unique valuesUnique
교무실 전화번호 has unique valuesUnique
행정실 전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:21:30.098950
Analysis finished2023-12-12 09:21:31.446367
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T18:21:31.541308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2023-12-12T18:21:31.781422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
초등학교
48 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 48
100.0%

Length

2023-12-12T18:21:31.979359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:21:32.116693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 48
100.0%

학교명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T18:21:32.445217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0625
Min length8

Characters and Unicode

Total characters387
Distinct characters67
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

Unique48 ?
Unique (%)100.0%

Sample

1st row인천가림초등학교
2nd row인천가석초등학교
3rd row인천가원초등학교
4th row인천가정초등학교
5th row인천가좌초등학교
ValueCountFrequency (%)
인천가림초등학교 1
 
2.1%
인천가석초등학교 1
 
2.1%
인천왕길초등학교 1
 
2.1%
인천서곶초등학교 1
 
2.1%
인천석남서초등학교 1
 
2.1%
인천석남초등학교 1
 
2.1%
인천신석초등학교 1
 
2.1%
인천신현북초등학교 1
 
2.1%
인천신현초등학교 1
 
2.1%
인천심곡초등학교 1
 
2.1%
Other values (38) 38
79.2%
2023-12-12T18:21:32.962443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
초 49
12.7%
천 49
12.7%
인 48
12.4%
등 48
12.4%
학 48
12.4%
교 48
12.4%
가 6
 
1.6%
석 5
 
1.3%
청 4
 
1.0%
신 4
 
1.0%
Other values (57) 78
20.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 387
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 49
12.7%
천 49
12.7%
인 48
12.4%
등 48
12.4%
학 48
12.4%
교 48
12.4%
가 6
 
1.6%
석 5
 
1.3%
청 4
 
1.0%
신 4
 
1.0%
Other values (57) 78
20.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 387
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 49
12.7%
천 49
12.7%
인 48
12.4%
등 48
12.4%
학 48
12.4%
교 48
12.4%
가 6
 
1.6%
석 5
 
1.3%
청 4
 
1.0%
신 4
 
1.0%
Other values (57) 78
20.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 387
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
초 49
12.7%
천 49
12.7%
인 48
12.4%
등 48
12.4%
학 48
12.4%
교 48
12.4%
가 6
 
1.6%
석 5
 
1.3%
청 4
 
1.0%
신 4
 
1.0%
Other values (57) 78
20.2%

학생수
Real number (ℝ)

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean726.25
Minimum176
Maximum2007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T18:21:33.175958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum176
5-th percentile272.1
Q1397
median633
Q3903.5
95-th percentile1577.15
Maximum2007
Range1831
Interquartile range (IQR)506.5

Descriptive statistics

Standard deviation423.20763
Coefficient of variation (CV)0.58272996
Kurtosis0.89689683
Mean726.25
Median Absolute Deviation (MAD)259.5
Skewness1.109593
Sum34860
Variance179104.7
MonotonicityNot monotonic
2023-12-12T18:21:33.379873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
595 2
 
4.2%
965 2
 
4.2%
301 1
 
2.1%
342 1
 
2.1%
614 1
 
2.1%
485 1
 
2.1%
408 1
 
2.1%
550 1
 
2.1%
414 1
 
2.1%
276 1
 
2.1%
Other values (36) 36
75.0%
ValueCountFrequency (%)
176 1
2.1%
212 1
2.1%
270 1
2.1%
276 1
2.1%
280 1
2.1%
283 1
2.1%
301 1
2.1%
318 1
2.1%
328 1
2.1%
335 1
2.1%
ValueCountFrequency (%)
2007 1
2.1%
1640 1
2.1%
1630 1
2.1%
1479 1
2.1%
1427 1
2.1%
1376 1
2.1%
1273 1
2.1%
1136 1
2.1%
1010 1
2.1%
993 1
2.1%

소재지
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T18:21:33.747043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35.5
Mean length31.708333
Min length26

Characters and Unicode

Total characters1522
Distinct characters94
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 장고개로 293번길 29(가좌동 231번지)
2nd row인천광역시 서구 서달로 174(가정3동 430-37번지)
3rd row인천광역시 서구 청중로 478번길 6(가정동 605-1번지)
4th row인천광역시 서구 장고개로 336-1(가좌동 395-4번지)
5th row인천광역시 서구 장고개로309번길 5(가좌동 30-87번지)
ValueCountFrequency (%)
인천광역시 48
 
18.5%
서구 48
 
18.5%
승학로 4
 
1.5%
서달로 3
 
1.2%
고산후로 3
 
1.2%
장고개로 2
 
0.8%
청마로 2
 
0.8%
심곡로 2
 
0.8%
건지로 2
 
0.8%
검단로 2
 
0.8%
Other values (143) 144
55.4%
2023-12-12T18:21:34.361541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
 
14.1%
1 74
 
4.9%
번 73
 
4.8%
서 55
 
3.6%
로 52
 
3.4%
지 51
 
3.4%
동 49
 
3.2%
( 48
 
3.2%
) 48
 
3.2%
2 48
 
3.2%
Other values (84) 810
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 803
52.8%
Decimal Number 368
24.2%
Space Separator 214
 
14.1%
Open Punctuation 48
 
3.2%
Close Punctuation 48
 
3.2%
Dash Punctuation 41
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 73
 
9.1%
서 55
 
6.8%
로 52
 
6.5%
지 51
 
6.4%
동 49
 
6.1%
인 48
 
6.0%
천 48
 
6.0%
구 48
 
6.0%
시 48
 
6.0%
역 48
 
6.0%
Other values (70) 283
35.2%
Decimal Number
ValueCountFrequency (%)
1 74
20.1%
2 48
13.0%
3 46
12.5%
4 44
12.0%
7 35
9.5%
9 30
8.2%
0 29
 
7.9%
8 21
 
5.7%
5 21
 
5.7%
6 20
 
5.4%
Space Separator
ValueCountFrequency (%)
214
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 803
52.8%
Common 719
47.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 73
 
9.1%
서 55
 
6.8%
로 52
 
6.5%
지 51
 
6.4%
동 49
 
6.1%
인 48
 
6.0%
천 48
 
6.0%
구 48
 
6.0%
시 48
 
6.0%
역 48
 
6.0%
Other values (70) 283
35.2%
Common
ValueCountFrequency (%)
214
29.8%
1 74
 
10.3%
( 48
 
6.7%
) 48
 
6.7%
2 48
 
6.7%
3 46
 
6.4%
4 44
 
6.1%
- 41
 
5.7%
7 35
 
4.9%
9 30
 
4.2%
Other values (4) 91
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 803
52.8%
ASCII 719
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
29.8%
1 74
 
10.3%
( 48
 
6.7%
) 48
 
6.7%
2 48
 
6.7%
3 46
 
6.4%
4 44
 
6.1%
- 41
 
5.7%
7 35
 
4.9%
9 30
 
4.2%
Other values (4) 91
12.7%
Hangul
ValueCountFrequency (%)
번 73
 
9.1%
서 55
 
6.8%
로 52
 
6.5%
지 51
 
6.4%
동 49
 
6.1%
인 48
 
6.0%
천 48
 
6.0%
구 48
 
6.0%
시 48
 
6.0%
역 48
 
6.0%
Other values (70) 283
35.2%

교무실 전화번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T18:21:34.700435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters576
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

Unique48 ?
Unique (%)100.0%

Sample

1st row032-571-6230
2nd row032-583-0271
3rd row032-569-6436
4th row032-576-9980
5th row032-576-7094
ValueCountFrequency (%)
032-571-6230 1
 
2.1%
032-583-0271 1
 
2.1%
032-564-4825 1
 
2.1%
032-561-2015 1
 
2.1%
032-571-0049 1
 
2.1%
032-571-4965 1
 
2.1%
032-572-0184 1
 
2.1%
032-572-0174 1
 
2.1%
032-575-0962 1
 
2.1%
032-562-8620 1
 
2.1%
Other values (38) 38
79.2%
2023-12-12T18:21:35.263664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 96
16.7%
0 81
14.1%
2 78
13.5%
3 69
12.0%
5 57
9.9%
6 55
9.5%
8 32
 
5.6%
7 30
 
5.2%
9 30
 
5.2%
1 26
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
83.3%
Dash Punctuation 96
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 81
16.9%
2 78
16.2%
3 69
14.4%
5 57
11.9%
6 55
11.5%
8 32
 
6.7%
7 30
 
6.2%
9 30
 
6.2%
1 26
 
5.4%
4 22
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 576
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 96
16.7%
0 81
14.1%
2 78
13.5%
3 69
12.0%
5 57
9.9%
6 55
9.5%
8 32
 
5.6%
7 30
 
5.2%
9 30
 
5.2%
1 26
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 96
16.7%
0 81
14.1%
2 78
13.5%
3 69
12.0%
5 57
9.9%
6 55
9.5%
8 32
 
5.6%
7 30
 
5.2%
9 30
 
5.2%
1 26
 
4.5%

행정실 전화번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T18:21:35.596581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters576
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

Unique48 ?
Unique (%)100.0%

Sample

1st row032-571-6230
2nd row032-583-0274
3rd row032-569-6436
4th row032-577-1826
5th row032-576-3257
ValueCountFrequency (%)
032-571-6230 1
 
2.1%
032-583-0274 1
 
2.1%
032-564-4825 1
 
2.1%
032-562-2101 1
 
2.1%
032-574-6941 1
 
2.1%
032-571-4965 1
 
2.1%
032-628-5331 1
 
2.1%
032-572-0174 1
 
2.1%
032-572-3977 1
 
2.1%
032-566-0274 1
 
2.1%
Other values (38) 38
79.2%
2023-12-12T18:21:36.102215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 96
16.7%
2 89
15.5%
0 76
13.2%
3 67
11.6%
6 60
10.4%
5 48
8.3%
8 36
 
6.2%
7 34
 
5.9%
9 28
 
4.9%
1 21
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
83.3%
Dash Punctuation 96
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 89
18.5%
0 76
15.8%
3 67
14.0%
6 60
12.5%
5 48
10.0%
8 36
7.5%
7 34
 
7.1%
9 28
 
5.8%
1 21
 
4.4%
4 21
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 576
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 96
16.7%
2 89
15.5%
0 76
13.2%
3 67
11.6%
6 60
10.4%
5 48
8.3%
8 36
 
6.2%
7 34
 
5.9%
9 28
 
4.9%
1 21
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 96
16.7%
2 89
15.5%
0 76
13.2%
3 67
11.6%
6 60
10.4%
5 48
8.3%
8 36
 
6.2%
7 34
 
5.9%
9 28
 
4.9%
1 21
 
3.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2022-08-31 00:00:00
Maximum2022-08-31 00:00:00
2023-12-12T18:21:36.274417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:21:36.416512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T18:21:30.957127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:21:30.450139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:21:31.068947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:21:30.850770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:21:36.511946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번학교명학생수소재지교무실 전화번호행정실 전화번호
연번1.0001.0000.0001.0001.0001.000
학교명1.0001.0001.0001.0001.0001.000
학생수0.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
교무실 전화번호1.0001.0001.0001.0001.0001.000
행정실 전화번호1.0001.0001.0001.0001.0001.000
2023-12-12T18:21:36.665026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번학생수
연번1.0000.081
학생수0.0811.000

Missing values

2023-12-12T18:21:31.216857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:21:31.390315image/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

연번구분학교명학생수소재지교무실 전화번호행정실 전화번호데이터기준일자
01초등학교인천가림초등학교301인천광역시 서구 장고개로 293번길 29(가좌동 231번지)032-571-6230032-571-62302022-08-31
12초등학교인천가석초등학교280인천광역시 서구 서달로 174(가정3동 430-37번지)032-583-0271032-583-02742022-08-31
23초등학교인천가원초등학교1640인천광역시 서구 청중로 478번길 6(가정동 605-1번지)032-569-6436032-569-64362022-08-31
34초등학교인천가정초등학교795인천광역시 서구 장고개로 336-1(가좌동 395-4번지)032-576-9980032-577-18262022-08-31
45초등학교인천가좌초등학교488인천광역시 서구 장고개로309번길 5(가좌동 30-87번지)032-576-7094032-576-32572022-08-31
56초등학교인천가현초등학교1630인천광역시 서구 염곡로 417(신현동 2-103번지)032-579-7388032-579-73882022-08-31
67초등학교인천간재울초등학교1273인천광역시 서구 승학로 433(검암동 629-3번지)032-568-9161032-568-91612022-08-31
78초등학교인천건지초등학교283인천광역시 서구 건지로 318번길 39(가좌동 200번지)032-628-5855032-628-58132022-08-31
89초등학교인천검단초등학교796인천광역시 서구 마전로 115번길 24(마전동 147-1번지)032-563-5988032-562-19222022-08-31
910초등학교인천검암초등학교270인천광역시 서구 승학로 599번길 45(검암동 495번지)032-564-5337032-566-84002022-08-31
연번구분학교명학생수소재지교무실 전화번호행정실 전화번호데이터기준일자
3839초등학교인천창신초등학교534인천광역시 서구 고산후로 161번길 6(원당동 809번지)032-628-6134032-568-03002022-08-31
3940초등학교인천천마초등학교212인천광역시 서구 서달로 58-5(석남동3동 294-2번지)032-571-7395032-571-73942022-08-31
4041초등학교인천청라초등학교1427인천광역시 서구 청라에메랄드로 139(청라동 771-1번지)032-569-5910032-569-59132022-08-31
4142초등학교인천청람초등학교1376인천광역시 서구 청라커낼로 336 (청라동 149-1번지)032-569-6912032-569-69122022-08-31
4243초등학교인천청일초등학교965인천광역시 서구 크리스탈로 46(청라동 173-2번지)032-628-8635032-628-86152022-08-31
4344초등학교인천청호초등학교335인천광역시 서구 청라한울로44(청라동 140-2번지)032-456-9115032-456-91232022-08-31
4445초등학교인천초은초등학교993인천광역시 서구 에메랄드로 33(청라동 192-3번지)032-569-3124032-628-84762022-08-31
4546초등학교인천한별초등학교1479인천광역시 서구 서로3로 201(원당동 산 47-3번지)032-453-9007032-453-90742022-08-31
4647초등학교인천해든초등학교829인천광역시 서구 서로 3로 60(당하동 264-7번지)032-453-9200032-453-92062022-08-31
4748초등학교인천해원초등학교2007인천광역시 서구 청라사파이어로 140번길 5(청라동 130-3번지)032-560-2213032-260-22242022-08-31