Overview

Dataset statistics

Number of variables8
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory71.1 B

Variable types

Numeric2
Categorical1
Text4
DateTime1

Dataset

Description인천광역시 서구 관내에 위치한 중학교 (구분, 학교명, 학생수, 소재지, 교무실 전화번호, 행정실 전화번호) 현행 데이터 입니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15089438/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 00:24:07.213942
Analysis finished2023-12-12 00:24:08.100932
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T09:24:08.232802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-12T09:24:08.415190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
중학교
26 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중학교 26
100.0%

Length

2023-12-12T09:24:08.562491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:24:08.655643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중학교 26
100.0%

학교명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T09:24:08.841706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8.5
Mean length6.3461538
Min length5

Characters and Unicode

Total characters165
Distinct characters46
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

Unique26 ?
Unique (%)100.0%

Sample

1st row가정여자중학교
2nd row가좌중학교
3rd row간재울중학교
4th row검단중학교
5th row검암중학교
ValueCountFrequency (%)
가정여자중학교 1
 
3.8%
가좌중학교 1
 
3.8%
인천해원중학교 1
 
3.8%
인천초은중학교 1
 
3.8%
인천청호중학교 1
 
3.8%
인천청람중학교 1
 
3.8%
인천청라중학교 1
 
3.8%
인천이음중학교 1
 
3.8%
인천아라중학교 1
 
3.8%
인천석남중학교 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T09:24:09.228154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 26
15.8%
교 26
15.8%
중 26
15.8%
인 13
 
7.9%
천 13
 
7.9%
가 4
 
2.4%
자 4
 
2.4%
여 4
 
2.4%
현 3
 
1.8%
청 3
 
1.8%
Other values (36) 43
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 165
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 26
15.8%
교 26
15.8%
중 26
15.8%
인 13
 
7.9%
천 13
 
7.9%
가 4
 
2.4%
자 4
 
2.4%
여 4
 
2.4%
현 3
 
1.8%
청 3
 
1.8%
Other values (36) 43
26.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 165
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 26
15.8%
교 26
15.8%
중 26
15.8%
인 13
 
7.9%
천 13
 
7.9%
가 4
 
2.4%
자 4
 
2.4%
여 4
 
2.4%
현 3
 
1.8%
청 3
 
1.8%
Other values (36) 43
26.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 165
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 26
15.8%
교 26
15.8%
중 26
15.8%
인 13
 
7.9%
천 13
 
7.9%
가 4
 
2.4%
자 4
 
2.4%
여 4
 
2.4%
현 3
 
1.8%
청 3
 
1.8%
Other values (36) 43
26.1%

학생수
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean644.5
Minimum241
Maximum1429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T09:24:09.348005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum241
5-th percentile257.25
Q1381
median441
Q3927.75
95-th percentile1098.25
Maximum1429
Range1188
Interquartile range (IQR)546.75

Descriptive statistics

Standard deviation340.20362
Coefficient of variation (CV)0.52785666
Kurtosis-0.88771575
Mean644.5
Median Absolute Deviation (MAD)171
Skewness0.60911413
Sum16757
Variance115738.5
MonotonicityNot monotonic
2023-12-12T09:24:09.466972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
906 2
 
7.7%
242 1
 
3.8%
303 1
 
3.8%
456 1
 
3.8%
1041 1
 
3.8%
1019 1
 
3.8%
426 1
 
3.8%
935 1
 
3.8%
1093 1
 
3.8%
414 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
241 1
3.8%
242 1
3.8%
303 1
3.8%
346 1
3.8%
347 1
3.8%
357 1
3.8%
378 1
3.8%
390 1
3.8%
395 1
3.8%
402 1
3.8%
ValueCountFrequency (%)
1429 1
3.8%
1100 1
3.8%
1093 1
3.8%
1041 1
3.8%
1025 1
3.8%
1019 1
3.8%
935 1
3.8%
906 2
7.7%
849 1
3.8%
758 1
3.8%

소재지
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T09:24:09.689065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length28.692308
Min length21

Characters and Unicode

Total characters746
Distinct characters77
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

Unique26 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 고래울로 28번길 13
2nd row인천광역시 서구 건지로 334번길 31 (가좌3동 195번지)
3rd row인천광역시 서구 승학로 512번길 34(검암동 619-4번지)
4th row인천광역시 서구 완정로 188번길12(마전동)
5th row인천광역시 서구 검암로 29번길 12 (검암동 497번지)
ValueCountFrequency (%)
인천광역시 26
 
19.1%
서구 26
 
19.1%
건지로 2
 
1.5%
112번길 2
 
1.5%
완정로 2
 
1.5%
여우재로 2
 
1.5%
청라한내로 1
 
0.7%
서로2로 1
 
0.7%
333(석남3동 1
 
0.7%
1076-1번지 1
 
0.7%
Other values (72) 72
52.9%
2023-12-12T09:24:10.074020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
14.7%
1 47
 
6.3%
2 32
 
4.3%
서 29
 
3.9%
로 28
 
3.8%
인 26
 
3.5%
광 26
 
3.5%
역 26
 
3.5%
시 26
 
3.5%
구 26
 
3.5%
Other values (67) 370
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 388
52.0%
Decimal Number 181
24.3%
Space Separator 110
 
14.7%
Open Punctuation 25
 
3.4%
Close Punctuation 25
 
3.4%
Dash Punctuation 17
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 29
 
7.5%
로 28
 
7.2%
인 26
 
6.7%
광 26
 
6.7%
역 26
 
6.7%
시 26
 
6.7%
구 26
 
6.7%
천 26
 
6.7%
동 25
 
6.4%
번 18
 
4.6%
Other values (53) 132
34.0%
Decimal Number
ValueCountFrequency (%)
1 47
26.0%
2 32
17.7%
3 23
12.7%
4 18
 
9.9%
0 16
 
8.8%
5 16
 
8.8%
9 11
 
6.1%
6 8
 
4.4%
8 6
 
3.3%
7 4
 
2.2%
Space Separator
ValueCountFrequency (%)
110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 388
52.0%
Common 358
48.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 29
 
7.5%
로 28
 
7.2%
인 26
 
6.7%
광 26
 
6.7%
역 26
 
6.7%
시 26
 
6.7%
구 26
 
6.7%
천 26
 
6.7%
동 25
 
6.4%
번 18
 
4.6%
Other values (53) 132
34.0%
Common
ValueCountFrequency (%)
110
30.7%
1 47
13.1%
2 32
 
8.9%
( 25
 
7.0%
) 25
 
7.0%
3 23
 
6.4%
4 18
 
5.0%
- 17
 
4.7%
0 16
 
4.5%
5 16
 
4.5%
Other values (4) 29
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 388
52.0%
ASCII 358
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
30.7%
1 47
13.1%
2 32
 
8.9%
( 25
 
7.0%
) 25
 
7.0%
3 23
 
6.4%
4 18
 
5.0%
- 17
 
4.7%
0 16
 
4.5%
5 16
 
4.5%
Other values (4) 29
 
8.1%
Hangul
ValueCountFrequency (%)
서 29
 
7.5%
로 28
 
7.2%
인 26
 
6.7%
광 26
 
6.7%
역 26
 
6.7%
시 26
 
6.7%
구 26
 
6.7%
천 26
 
6.7%
동 25
 
6.4%
번 18
 
4.6%
Other values (53) 132
34.0%

교무실 전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T09:24:10.277895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique26 ?
Unique (%)100.0%

Sample

1st row032-627-7157
2nd row032-571-7444
3rd row032-568-1630
4th row032-565-5892
5th row032-628-9316
ValueCountFrequency (%)
032-627-7157 1
 
3.8%
032-571-7444 1
 
3.8%
032-560-3600 1
 
3.8%
032-569-5791 1
 
3.8%
032-456-9100 1
 
3.8%
032-628-9808 1
 
3.8%
032-561-1973 1
 
3.8%
032-580-2816 1
 
3.8%
032-457-1523 1
 
3.8%
032-584-1831 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T09:24:10.586161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.7%
0 41
13.1%
2 41
13.1%
3 40
12.8%
5 33
10.6%
7 24
7.7%
6 21
6.7%
8 18
 
5.8%
1 16
 
5.1%
9 16
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
15.8%
2 41
15.8%
3 40
15.4%
5 33
12.7%
7 24
9.2%
6 21
8.1%
8 18
6.9%
1 16
 
6.2%
9 16
 
6.2%
4 10
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
16.7%
0 41
13.1%
2 41
13.1%
3 40
12.8%
5 33
10.6%
7 24
7.7%
6 21
6.7%
8 18
 
5.8%
1 16
 
5.1%
9 16
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.7%
0 41
13.1%
2 41
13.1%
3 40
12.8%
5 33
10.6%
7 24
7.7%
6 21
6.7%
8 18
 
5.8%
1 16
 
5.1%
9 16
 
5.1%

행정실 전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T09:24:10.802342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique26 ?
Unique (%)100.0%

Sample

1st row032-627-7142
2nd row032-573-7956
3rd row032-568-1628
4th row032-565-5894
5th row032-628-9298
ValueCountFrequency (%)
032-627-7142 1
 
3.8%
032-573-7956 1
 
3.8%
032-560-3800 1
 
3.8%
032-569-5792 1
 
3.8%
032-456-9121 1
 
3.8%
032-628-9723 1
 
3.8%
032-561-1742 1
 
3.8%
032-580-2819 1
 
3.8%
032-457-1505 1
 
3.8%
032-584-1830 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T09:24:11.136803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.7%
2 46
14.7%
0 41
13.1%
3 37
11.9%
5 31
9.9%
7 22
7.1%
6 21
6.7%
9 18
 
5.8%
8 18
 
5.8%
1 14
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 46
17.7%
0 41
15.8%
3 37
14.2%
5 31
11.9%
7 22
8.5%
6 21
8.1%
9 18
 
6.9%
8 18
 
6.9%
1 14
 
5.4%
4 12
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
16.7%
2 46
14.7%
0 41
13.1%
3 37
11.9%
5 31
9.9%
7 22
7.1%
6 21
6.7%
9 18
 
5.8%
8 18
 
5.8%
1 14
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.7%
2 46
14.7%
0 41
13.1%
3 37
11.9%
5 31
9.9%
7 22
7.1%
6 21
6.7%
9 18
 
5.8%
8 18
 
5.8%
1 14
 
4.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2022-08-31 00:00:00
Maximum2022-08-31 00:00:00
2023-12-12T09:24:11.253228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:24:11.364812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:24:07.650417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:24:07.481809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:24:07.737014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:24:07.565073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:24:11.455940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번학교명학생수소재지교무실 전화번호행정실 전화번호
연번1.0001.0000.5581.0001.0001.000
학교명1.0001.0001.0001.0001.0001.000
학생수0.5581.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
교무실 전화번호1.0001.0001.0001.0001.0001.000
행정실 전화번호1.0001.0001.0001.0001.0001.000
2023-12-12T09:24:11.552821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번학생수
연번1.0000.303
학생수0.3031.000

Missing values

2023-12-12T09:24:07.890211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:24:08.040039image/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
01중학교가정여자중학교242인천광역시 서구 고래울로 28번길 13032-627-7157032-627-71422022-08-31
12중학교가좌중학교390인천광역시 서구 건지로 334번길 31 (가좌3동 195번지)032-571-7444032-573-79562022-08-31
23중학교간재울중학교1025인천광역시 서구 승학로 512번길 34(검암동 619-4번지)032-568-1630032-568-16282022-08-31
34중학교검단중학교906인천광역시 서구 완정로 188번길12(마전동)032-565-5892032-565-58942022-08-31
45중학교검암중학교395인천광역시 서구 검암로 29번길 12 (검암동 497번지)032-628-9316032-628-92982022-08-31
56중학교동인천여자중학교346인천광역시 서구 여우재로 112번길 13(가좌4동 402)032-577-6827032-577-94302022-08-31
67중학교마전중학교1429인천광역시 서구 완정로 91 (마전동 1029-1)032-568-7093032-568-70922022-08-31
78중학교백석중학교241인천광역시 서구 서곶로 695(백석동 65-3)032-627-9076032-627-90872022-08-31
89중학교불로중학교758인천광역시 서구 고산후로 363(불로동 306-22)032-455-8941032-455-89062022-08-31
910중학교서곶중학교584인천광역시 서구 대평로 56번길 22(연희동)032-562-0382032-562-03842022-08-31
연번구분학교명학생수소재지교무실 전화번호행정실 전화번호데이터기준일자
1617중학교인천당하중학교1100인천광역시 서구 청마로 38(당하동 1076-1번지)032-627-8058032-569-21362022-08-31
1718중학교인천석남중학교347인천광역시 서구 건지로 333(석남3동 329-7)032-584-1831032-584-18302022-08-31
1819중학교인천아라중학교415인천광역시 서구 서로2로 50 (당하동 산40)032-457-1523032-457-15052022-08-31
1920중학교인천이음중학교414인천광역시 서구 이음1로 455(원당동 90-1번지)032-580-2816032-580-28192022-08-31
2021중학교인천청라중학교1093인천광역시 서구 청라라임로 112(청라동 125-4)032-561-1973032-561-17422022-08-31
2122중학교인천청람중학교935인천광역시 서구 청라커낼로 335(청라동 140-5)032-628-9808032-628-97232022-08-31
2223중학교인천청호중학교426인천광역시 서구 청라한울로44(청라동 140-2)032-456-9100032-456-91212022-08-31
2324중학교인천초은중학교1019인천광역시 서구 청라라임로10(청라동192-1)032-569-5791032-569-57922022-08-31
2425중학교인천해원중학교1041인천광역시 서구 청라한내로 21(청라동 103-25)032-560-3600032-560-38002022-08-31
2526중학교제물포중학교456인천광역시 서구 여우재로 112번길 7(가좌동 401번지)032-578-5825032-578-58262022-08-31