Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory957.0 KiB
Average record size in memory98.0 B

Variable types

Text4
Categorical4
Numeric2
DateTime1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실)
Author청주대학교 지방교육재정연구원
URLhttps://www.data.go.kr/data/15021158/standard.do

Alerts

데이터기준일자 has constant value ""Constant
제공기관코드 has constant value ""Constant
제공기관명 has constant value ""Constant
시도교육청코드 is highly overall correlated with 교육지원청코드 and 1 other fieldsHigh correlation
교육지원청코드 is highly overall correlated with 시도교육청코드 and 1 other fieldsHigh correlation
시도교육청명 is highly overall correlated with 시도교육청코드 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-04-06 08:04:22.616428
Analysis finished2024-04-06 08:04:25.965636
Duration3.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct5867
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:04:26.323643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4610 ?
Unique (%)46.1%

Sample

1st rowZ000201267
2nd rowZ000150125
3rd rowZ000210301
4th rowZ000100534
5th rowZ000150541
ValueCountFrequency (%)
z000300023 28
 
0.3%
z000300024 23
 
0.2%
z000151068 22
 
0.2%
z000300017 20
 
0.2%
z000151024 19
 
0.2%
z000300018 19
 
0.2%
z000300014 18
 
0.2%
z000151074 18
 
0.2%
z000300020 18
 
0.2%
z000151072 17
 
0.2%
Other values (5857) 9798
98.0%
2024-04-06T17:04:27.041787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 45607
45.6%
1 13134
 
13.1%
Z 10000
 
10.0%
2 6711
 
6.7%
5 6065
 
6.1%
3 4583
 
4.6%
4 3248
 
3.2%
6 2817
 
2.8%
8 2793
 
2.8%
7 2671
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
90.0%
Uppercase Letter 10000
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45607
50.7%
1 13134
 
14.6%
2 6711
 
7.5%
5 6065
 
6.7%
3 4583
 
5.1%
4 3248
 
3.6%
6 2817
 
3.1%
8 2793
 
3.1%
7 2671
 
3.0%
9 2371
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
Z 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90000
90.0%
Latin 10000
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 45607
50.7%
1 13134
 
14.6%
2 6711
 
7.5%
5 6065
 
6.7%
3 4583
 
5.1%
4 3248
 
3.6%
6 2817
 
3.1%
8 2793
 
3.1%
7 2671
 
3.0%
9 2371
 
2.6%
Latin
ValueCountFrequency (%)
Z 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 45607
45.6%
1 13134
 
13.1%
Z 10000
 
10.0%
2 6711
 
6.7%
5 6065
 
6.1%
3 4583
 
4.6%
4 3248
 
3.2%
6 2817
 
2.8%
8 2793
 
2.8%
7 2671
 
2.7%
Distinct7037
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:04:27.609959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5493 ?
Unique (%)54.9%

Sample

1st rowB000011136
2nd rowB000003805
3rd rowB000009589
4th rowB000002423
5th rowB000023990
ValueCountFrequency (%)
b000006445 17
 
0.2%
b000006519 17
 
0.2%
b000030428 17
 
0.2%
b000006517 16
 
0.2%
b000006521 16
 
0.2%
b000006456 15
 
0.1%
b000006512 15
 
0.1%
b000006453 14
 
0.1%
b000006464 14
 
0.1%
b000006457 14
 
0.1%
Other values (7027) 9845
98.5%
2024-04-06T17:04:29.223199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51326
51.3%
B 10000
 
10.0%
1 5100
 
5.1%
2 4893
 
4.9%
6 4474
 
4.5%
4 4371
 
4.4%
9 4298
 
4.3%
5 4152
 
4.2%
7 4116
 
4.1%
3 3762
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
90.0%
Uppercase Letter 10000
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51326
57.0%
1 5100
 
5.7%
2 4893
 
5.4%
6 4474
 
5.0%
4 4371
 
4.9%
9 4298
 
4.8%
5 4152
 
4.6%
7 4116
 
4.6%
3 3762
 
4.2%
8 3508
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90000
90.0%
Latin 10000
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51326
57.0%
1 5100
 
5.7%
2 4893
 
5.4%
6 4474
 
5.0%
4 4371
 
4.9%
9 4298
 
4.8%
5 4152
 
4.6%
7 4116
 
4.6%
3 3762
 
4.2%
8 3508
 
3.9%
Latin
ValueCountFrequency (%)
B 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51326
51.3%
B 10000
 
10.0%
1 5100
 
5.1%
2 4893
 
4.9%
6 4474
 
4.5%
4 4371
 
4.4%
9 4298
 
4.3%
5 4152
 
4.2%
7 4116
 
4.1%
3 3762
 
3.8%
Distinct6229
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:04:30.133346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.36
Min length5

Characters and Unicode

Total characters63600
Distinct characters401
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4452 ?
Unique (%)44.5%

Sample

1st row성포중학교
2nd row계남초등학교
3rd row서정중학교
4th row서울송중초등학교
5th row삼성현초등학교
ValueCountFrequency (%)
화정초등학교 19
 
0.2%
옥산초등학교 19
 
0.2%
외서초등학교 19
 
0.2%
거문초등학교 18
 
0.2%
별량초등학교 17
 
0.2%
백초초등학교 17
 
0.2%
상사초등학교 16
 
0.2%
관기초등학교 15
 
0.1%
신풍초등학교 15
 
0.1%
주암초등학교 15
 
0.1%
Other values (6219) 9830
98.3%
2024-04-06T17:04:32.036348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/