Overview

Dataset statistics

Number of variables14
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory121.9 B

Variable types

Text3
Categorical7
Numeric4

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/15021154/standard.do

Alerts

학구분류 has constant value ""Constant
생성일자 has constant value ""Constant
데이터기준일자 has constant value ""Constant
제공기관코드 has constant value ""Constant
제공기관명 has constant value ""Constant
시도코드 is highly overall correlated with 시도교육청코드 and 3 other fieldsHigh correlation
시도교육청코드 is highly overall correlated with 시도코드 and 3 other fieldsHigh correlation
교육지원청코드 is highly overall correlated with 시도코드 and 3 other fieldsHigh correlation
시도교육청명 is highly overall correlated with 시도코드 and 3 other fieldsHigh correlation
변경일자 is highly overall correlated with 시도코드 and 3 other fieldsHigh correlation
변경일자 is highly imbalanced (51.1%)Imbalance
학구ID has unique valuesUnique
학구명 has unique valuesUnique
공간객체ID has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:07:58.795000
Analysis finished2024-04-06 08:08:04.286997
Duration5.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학구ID
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-04-06T17:08:04.622899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters270
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

Unique27 ?
Unique (%)100.0%

Sample

1st rowZ000390031
2nd rowZ000390011
3rd rowZ000390034
4th rowZ000390028
5th rowZ000390024
ValueCountFrequency (%)
z000390031 1
 
3.7%
z000390019 1
 
3.7%
z000390035 1
 
3.7%
z000390030 1
 
3.7%
z000390017 1
 
3.7%
z000390020 1
 
3.7%
z000390029 1
 
3.7%
z000390027 1
 
3.7%
z000390036 1
 
3.7%
z000390033 1
 
3.7%
Other values (17) 17
63.0%
2024-04-06T17:08:05.412884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 139
51.5%
3 37
 
13.7%
9 29
 
10.7%
Z 27
 
10.0%
1 12
 
4.4%
2 12
 
4.4%
4 3
 
1.1%
8 3
 
1.1%
7 3
 
1.1%
6 3
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 243
90.0%
Uppercase Letter 27
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 139
57.2%
3 37
 
15.2%
9 29
 
11.9%
1 12
 
4.9%
2 12
 
4.9%
4 3
 
1.2%
8 3
 
1.2%
7 3
 
1.2%
6 3
 
1.2%
5 2
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
Z 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 243
90.0%
Latin 27
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 139
57.2%
3 37
 
15.2%
9 29
 
11.9%
1 12
 
4.9%
2 12
 
4.9%
4 3
 
1.2%
8 3
 
1.2%
7 3
 
1.2%
6 3
 
1.2%
5 2
 
0.8%
Latin
ValueCountFrequency (%)
Z 27
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 139
51.5%
3 37
 
13.7%
9 29
 
10.7%
Z 27
 
10.0%
1 12
 
4.4%
2 12
 
4.4%
4 3
 
1.1%
8 3
 
1.1%
7 3
 
1.1%
6 3
 
1.1%

학구명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-04-06T17:08:05.791559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length5.8888889
Min length4

Characters and Unicode

Total characters159
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

Unique27 ?
Unique (%)100.0%

Sample

1st row충청남도단일학교군
2nd row평택학군
3rd row경상북도단일학교군
4th row시흥학군
5th row이천학군
ValueCountFrequency (%)
충청남도단일학교군 1
 
3.7%
하남학군 1
 
3.7%
경상남도단일학교군 1
 
3.7%
충청북도단일학교군 1
 
3.7%
파주학군 1
 
3.7%
연천학군 1
 
3.7%
강원특별자치도단일학교군 1
 
3.7%
김포학군 1
 
3.7%
제주특별자치도단일학교군 1
 
3.7%
전라남도단일학교군 1
 
3.7%
Other values (17) 17
63.0%
2024-04-06T17:08:06.588706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 27
17.0%
군 27
17.0%
도 8
 
5.0%
단 8
 
5.0%
일 8
 
5.0%
교 8
 
5.0%
주 6
 
3.8%
남 5
 
3.1%
천 4
 
2.5%
북 3
 
1.9%
Other values (36) 55
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 27
17.0%
군 27
17.0%
도 8
 
5.0%
단 8
 
5.0%
일 8
 
5.0%
교 8
 
5.0%
주 6
 
3.8%
남 5
 
3.1%
천 4
 
2.5%
북 3
 
1.9%
Other values (36) 55
34.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 27
17.0%
군 27
17.0%
도 8
 
5.0%
단 8
 
5.0%
일 8
 
5.0%
교 8
 
5.0%
주 6
 
3.8%
남 5
 
3.1%
천 4
 
2.5%
북 3
 
1.9%
Other values (36) 55
34.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 27
17.0%
군 27
17.0%
도 8
 
5.0%
단 8
 
5.0%
일 8
 
5.0%
교 8
 
5.0%
주 6
 
3.8%
남 5
 
3.1%
천 4
 
2.5%
북 3
 
1.9%
Other values (36) 55
34.6%

학구분류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
1
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 27
100.0%

Length

2024-04-06T17:08:06.916457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:08:07.169229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
100.0%

시도코드
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.962963
Minimum41
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T17:08:07.340887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile41
Q141
median41
Q343.5
95-th percentile50.7
Maximum52
Range11
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation3.5135067
Coefficient of variation (CV)0.081779897
Kurtosis1.2539503
Mean42.962963
Median Absolute Deviation (MAD)0
Skewness1.6133973
Sum1160
Variance12.344729
MonotonicityNot monotonic
2024-04-06T17:08:07.593482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
41 19
70.4%
44 1
 
3.7%
47 1
 
3.7%
52 1
 
3.7%
46 1
 
3.7%
50 1
 
3.7%
51 1
 
3.7%
43 1
 
3.7%
48 1
 
3.7%
ValueCountFrequency (%)
41 19
70.4%
43 1
 
3.7%
44 1
 
3.7%
46 1
 
3.7%
47 1
 
3.7%
48 1
 
3.7%
50 1
 
3.7%
51 1
 
3.7%
52 1
 
3.7%
ValueCountFrequency (%)
52 1
 
3.7%
51 1
 
3.7%
50 1
 
3.7%
48 1
 
3.7%
47 1
 
3.7%
46 1
 
3.7%
44 1
 
3.7%
43 1
 
3.7%
41 19
70.4%

시도교육청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7810074.1
Minimum7530000
Maximum9290000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T17:08:07.815360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7530000
5-th percentile7530000
Q17530000
median7530000
Q37900500
95-th percentile8932000
Maximum9290000
Range1760000
Interquartile range (IQR)370500

Descriptive statistics

Standard deviation514116.19
Coefficient of variation (CV)0.065827313
Kurtosis2.2126384
Mean7810074.1
Median Absolute Deviation (MAD)0
Skewness1.7950797
Sum2.10872 × 108
Variance2.6431546 × 1011
MonotonicityNot monotonic
2024-04-06T17:08:08.022420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7530000 19
70.4%
8140000 1
 
3.7%
8750000 1
 
3.7%
8321000 1
 
3.7%
8490000 1
 
3.7%
9290000 1
 
3.7%
7801000 1
 
3.7%
8000000 1
 
3.7%
9010000 1
 
3.7%
ValueCountFrequency (%)
7530000 19
70.4%
7801000 1
 
3.7%
8000000 1
 
3.7%
8140000 1
 
3.7%
8321000 1
 
3.7%
8490000 1
 
3.7%
8750000 1
 
3.7%
9010000 1
 
3.7%
9290000 1
 
3.7%
ValueCountFrequency (%)
9290000 1
 
3.7%
9010000 1
 
3.7%
8750000 1
 
3.7%
8490000 1
 
3.7%
8321000 1
 
3.7%
8140000 1
 
3.7%
8000000 1
 
3.7%
7801000 1
 
3.7%
7530000 19
70.4%

시도교육청명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
경기도교육청
19 
충청남도교육청
 
1
경상북도교육청
 
1
전북특별자치도교육청
 
1
전라남도교육청
 
1
Other values (4)
4 

Length

Max length10
Median length6
Mean length6.6296296
Min length6

Unique

Unique8 ?
Unique (%)29.6%

Sample

1st row충청남도교육청
2nd row경기도교육청
3rd row경상북도교육청
4th row경기도교육청
5th row경기도교육청

Common Values

ValueCountFrequency (%)
경기도교육청 19
70.4%
충청남도교육청 1
 
3.7%
경상북도교육청 1
 
3.7%
전북특별자치도교육청 1
 
3.7%
전라남도교육청 1
 
3.7%
제주특별자치도교육청 1
 
3.7%
강원특별자치도교육청 1
 
3.7%
충청북도교육청 1
 
3.7%
경상남도교육청 1
 
3.7%

Length

2024-04-06T17:08:08.294863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:08:08.687351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도교육청 19
70.4%
충청남도교육청 1
 
3.7%
경상북도교육청 1
 
3.7%
전북특별자치도교육청 1
 
3.7%
전라남도교육청 1
 
3.7%
제주특별자치도교육청 1
 
3.7%
강원특별자치도교육청 1
 
3.7%
충청북도교육청 1
 
3.7%
경상남도교육청 1
 
3.7%

교육지원청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7931370.4
Minimum7602000
Maximum9296000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T17:08:08.966836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7602000
5-th percentile7610700
Q17679000
median7721000
Q37911500
95-th percentile8943700
Maximum9296000
Range1694000
Interquartile range (IQR)232500

Descriptive statistics

Standard deviation461811.58
Coefficient of variation (CV)0.058225951
Kurtosis2.6053791
Mean7931370.4
Median Absolute Deviation (MAD)60000
Skewness1.8759555
Sum2.14147 × 108
Variance2.1326993 × 1011
MonotonicityNot monotonic
2024-04-06T17:08:09.214261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
7692000 2
 
7.4%
7602000 2
 
7.4%
7652000 2
 
7.4%
7679000 2
 
7.4%
7761000 1
 
3.7%
9022000 1
 
3.7%
8011000 1
 
3.7%
7681000 1
 
3.7%
7701000 1
 
3.7%
7812000 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
7602000 2
7.4%
7631000 1
3.7%
7652000 2
7.4%
7661000 1
3.7%
7679000 2
7.4%
7681000 1
3.7%
7692000 2
7.4%
7701000 1
3.7%
7711000 1
3.7%
7721000 1
3.7%
ValueCountFrequency (%)
9296000 1
3.7%
9022000 1
3.7%
8761000 1
3.7%
8501000 1
3.7%
8452000 1
3.7%
8151000 1
3.7%
8011000 1
3.7%
7812000 1
3.7%
7781000 1
3.7%
7771000 1
3.7%

교육지원청명
Text

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-04-06T17:08:09.598151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length11.407407
Min length10

Characters and Unicode

Total characters308
Distinct characters50
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

Unique19 ?
Unique (%)70.4%

Sample

1st row충청남도천안교육지원청
2nd row경기도평택교육지원청
3rd row경상북도포항교육지원청
4th row경기도시흥교육지원청
5th row경기도이천교육지원청
ValueCountFrequency (%)
경기도동두천양주교육지원청 2
 
7.4%
경기도광주하남교육지원청 2
 
7.4%
경기도구리남양주교육지원청 2
 
7.4%
경기도화성오산교육지원청 2
 
7.4%
제주특별자치도제주시교육지원청 1
 
3.7%
충청남도천안교육지원청 1
 
3.7%
경기도안성교육지원청 1
 
3.7%
충청북도청주교육지원청 1
 
3.7%
경기도파주교육지원청 1
 
3.7%
경기도연천교육지원청 1
 
3.7%
Other values (13) 13
48.1%
2024-04-06T17:08:10.201939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 30
 
9.7%
원 29
 
9.4%
도 27
 
8.8%
교 27
 
8.8%
육 27
 
8.8%
지 27
 
8.8%
경 21
 
6.8%
기 19
 
6.2%
주 11
 
3.6%
남 7
 
2.3%
Other values (40) 83
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 30
 
9.7%
원 29
 
9.4%
도 27
 
8.8%
교 27
 
8.8%
육 27
 
8.8%
지 27
 
8.8%
경 21
 
6.8%
기 19
 
6.2%
주 11
 
3.6%
남 7
 
2.3%
Other values (40) 83
26.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 30
 
9.7%
원 29
 
9.4%
도 27
 
8.8%
교 27
 
8.8%
육 27
 
8.8%
지 27
 
8.8%
경 21
 
6.8%
기 19
 
6.2%
주 11
 
3.6%
남 7
 
2.3%
Other values (40) 83
26.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 30
 
9.7%
원 29
 
9.4%
도 27
 
8.8%
교 27
 
8.8%
육 27
 
8.8%
지 27
 
8.8%
경 21
 
6.8%
기 19
 
6.2%
주 11
 
3.6%
남 7
 
2.3%
Other values (40) 83
26.9%

생성일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2016-08-12
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016-08-12
2nd row2016-08-12
3rd row2016-08-12
4th row2016-08-12
5th row2016-08-12

Common Values

ValueCountFrequency (%)
2016-08-12 27
100.0%

Length

2024-04-06T17:08:10.455843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:08:10.645241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016-08-12 27
100.0%

변경일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
2018-03-28
21 
2023-08-08
 
2
2024-02-23
 
1
2023-01-17
 
1
2023-03-14
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)14.8%

Sample

1st row2018-03-28
2nd row2018-03-28
3rd row2023-08-08
4th row2018-03-28
5th row2018-03-28

Common Values

ValueCountFrequency (%)
2018-03-28 21
77.8%
2023-08-08 2
 
7.4%
2024-02-23 1
 
3.7%
2023-01-17 1
 
3.7%
2023-03-14 1
 
3.7%
2023-06-20 1
 
3.7%

Length

2024-04-06T17:08:10.850593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:08:11.049967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-03-28 21
77.8%
2023-08-08 2
 
7.4%
2024-02-23 1
 
3.7%
2023-01-17 1
 
3.7%
2023-03-14 1
 
3.7%
2023-06-20 1
 
3.7%

공간객체ID
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7850.6667
Minimum7699
Maximum8013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T17:08:11.241171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7699
5-th percentile7700.3
Q17705.5
median7712
Q38006.5
95-th percentile8011.7
Maximum8013
Range314
Interquartile range (IQR)301

Descriptive statistics

Standard deviation153.56757
Coefficient of variation (CV)0.019561087
Kurtosis-2.156796
Mean7850.6667
Median Absolute Deviation (MAD)13
Skewness0.078322411
Sum211968
Variance23583
MonotonicityNot monotonic
2024-04-06T17:08:11.463335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
8011 1
 
3.7%
8012 1
 
3.7%
8010 1
 
3.7%
8009 1
 
3.7%
8008 1
 
3.7%
8007 1
 
3.7%
8006 1
 
3.7%
8005 1
 
3.7%
8004 1
 
3.7%
8003 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
7699 1
3.7%
7700 1
3.7%
7701 1
3.7%
7702 1
3.7%
7703 1
3.7%
7704 1
3.7%
7705 1
3.7%
7706 1
3.7%
7707 1
3.7%
7708 1
3.7%
ValueCountFrequency (%)
8013 1
3.7%
8012 1
3.7%
8011 1
3.7%
8010 1
3.7%
8009 1
3.7%
8008 1
3.7%
8007 1
3.7%
8006 1
3.7%
8005 1
3.7%
8004 1
3.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-22
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-22
2nd row2024-03-22
3rd row2024-03-22
4th row2024-03-22
5th row2024-03-22

Common Values

ValueCountFrequency (%)
2024-03-22 27
100.0%

Length

2024-04-06T17:08:11.692058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:08:11.921970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-22 27
100.0%

제공기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
C738100
27 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC738100
2nd rowC738100
3rd rowC738100
4th rowC738100
5th rowC738100

Common Values

ValueCountFrequency (%)
C738100 27
100.0%

Length

2024-04-06T17:08:12.154655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:08:12.396328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c738100 27
100.0%

제공기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
청주대학교 지방교육재정연구원
27 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row청주대학교 지방교육재정연구원
2nd row청주대학교 지방교육재정연구원
3rd row청주대학교 지방교육재정연구원
4th row청주대학교 지방교육재정연구원
5th row청주대학교 지방교육재정연구원

Common Values

ValueCountFrequency (%)
청주대학교 지방교육재정연구원 27
100.0%

Length

2024-04-06T17:08:12.713285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:08:12.933902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청주대학교 27
50.0%
지방교육재정연구원 27
50.0%

Interactions

2024-04-06T17:08:02.561842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:07:59.610332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:00.434597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:01.593807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:02.777207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:07:59.780520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:00.629550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:01.746897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:03.002706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:00.007058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:00.820334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:02.008886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:03.265538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:00.224204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:01.004520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:08:02.347539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:08:13.223593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학구ID학구명시도코드시도교육청코드시도교육청명교육지원청코드교육지원청명변경일자공간객체ID
학구ID1.0001.0001.0001.0001.0001.0001.0001.0001.000
학구명1.0001.0001.0001.0001.0001.0001.0001.0001.000
시도코드1.0001.0001.0001.0001.0000.9961.0000.8740.306
시도교육청코드1.0001.0001.0001.0001.0001.0001.0001.0001.000
시도교육청명1.0001.0001.0001.0001.0000.9801.0000.9660.333
교육지원청코드1.0001.0000.9961.0000.9801.0001.0000.8630.000
교육지원청명1.0001.0001.0001.0001.0001.0001.0000.8871.000
변경일자1.0001.0000.8741.0000.9660.8630.8871.0000.406
공간객체ID1.0001.0000.3061.0000.3330.0001.0000.4061.000
2024-04-06T17:08:13.568783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도교육청명변경일자
시도교육청명1.0000.782
변경일자0.7821.000
2024-04-06T17:08:13.824766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도코드시도교육청코드교육지원청코드공간객체ID시도교육청명변경일자
시도코드1.0000.9670.7810.4230.9730.688
시도교육청코드0.9671.0000.8080.4711.0000.782
교육지원청코드0.7810.8081.0000.2630.9190.680
공간객체ID0.4230.4710.2631.0000.2940.276
시도교육청명0.9731.0000.9190.2941.0000.782
변경일자0.6880.7820.6800.2760.7821.000

Missing values

2024-04-06T17:08:03.609552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:08:04.153689image/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

학구ID학구명학구분류시도코드시도교육청코드시도교육청명교육지원청코드교육지원청명생성일자변경일자공간객체ID데이터기준일자제공기관코드제공기관명
0Z000390031충청남도단일학교군1448140000충청남도교육청8151000충청남도천안교육지원청2016-08-122018-03-2880112024-03-22C738100청주대학교 지방교육재정연구원
1Z000390011평택학군1417530000경기도교육청7631000경기도평택교육지원청2016-08-122018-03-2880122024-03-22C738100청주대학교 지방교육재정연구원
2Z000390034경상북도단일학교군1478750000경상북도교육청8761000경상북도포항교육지원청2016-08-122023-08-0880132024-03-22C738100청주대학교 지방교육재정연구원
3Z000390028시흥학군1417530000경기도교육청7781000경기도시흥교육지원청2016-08-122018-03-2876992024-03-22C738100청주대학교 지방교육재정연구원
4Z000390024이천학군1417530000경기도교육청7741000경기도이천교육지원청2016-08-122018-03-2877002024-03-22C738100청주대학교 지방교육재정연구원
5Z000390023양평학군1417530000경기도교육청7731000경기도양평교육지원청2016-08-122018-03-2877012024-03-22C738100청주대학교 지방교육재정연구원
6Z000390022가평학군1417530000경기도교육청7721000경기도가평교육지원청2016-08-122018-03-2877022024-03-22C738100청주대학교 지방교육재정연구원
7Z000390021포천학군1417530000경기도교육청7711000경기도포천교육지원청2016-08-122018-03-2877032024-03-22C738100청주대학교 지방교육재정연구원
8Z000390008양주학군1417530000경기도교육청7602000경기도동두천양주교육지원청2016-08-122018-03-2877042024-03-22C738100청주대학교 지방교육재정연구원
9Z000390007동두천학군1417530000경기도교육청7602000경기도동두천양주교육지원청2016-08-122018-03-2877052024-03-22C738100청주대학교 지방교육재정연구원
학구ID학구명학구분류시도코드시도교육청코드시도교육청명교육지원청코드교육지원청명생성일자변경일자공간객체ID데이터기준일자제공기관코드제공기관명
17Z000390015오산학군1417530000경기도교육청7679000경기도화성오산교육지원청2016-08-122018-03-2880012024-03-22C738100청주대학교 지방교육재정연구원
18Z000390033전라남도단일학교군1468490000전라남도교육청8501000전라남도목포교육지원청2016-08-122018-03-2880022024-03-22C738100청주대학교 지방교육재정연구원
19Z000390036제주특별자치도단일학교군1509290000제주특별자치도교육청9296000제주특별자치도제주시교육지원청2016-08-122018-03-2880032024-03-22C738100청주대학교 지방교육재정연구원
20Z000390027김포학군1417530000경기도교육청7771000경기도김포교육지원청2016-08-122018-03-2880042024-03-22C738100청주대학교 지방교육재정연구원
21Z000390029강원특별자치도단일학교군1517801000강원특별자치도교육청7812000강원특별자치도춘천교육지원청2016-08-122023-08-0880052024-03-22C738100청주대학교 지방교육재정연구원
22Z000390020연천학군1417530000경기도교육청7701000경기도연천교육지원청2016-08-122018-03-2880062024-03-22C738100청주대학교 지방교육재정연구원
23Z000390017파주학군1417530000경기도교육청7681000경기도파주교육지원청2016-08-122018-03-2880072024-03-22C738100청주대학교 지방교육재정연구원
24Z000390030충청북도단일학교군1438000000충청북도교육청8011000충청북도청주교육지원청2016-08-122023-01-1780082024-03-22C738100청주대학교 지방교육재정연구원
25Z000390035경상남도단일학교군1489010000경상남도교육청9022000경상남도창원교육지원청2016-08-122023-03-1480092024-03-22C738100청주대학교 지방교육재정연구원
26Z000390016화성학군1417530000경기도교육청7679000경기도화성오산교육지원청2016-08-122023-06-2080102024-03-22C738100청주대학교 지방교육재정연구원