Overview

Dataset statistics

Number of variables15
Number of observations7090
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory872.5 KiB
Average record size in memory126.0 B

Variable types

Text3
Categorical5
Numeric5
DateTime2

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/15021149/standard.do

Alerts

데이터기준일자 has constant value ""Constant
제공기관코드 has constant value ""Constant
제공기관명 has constant value ""Constant
시도코드 is highly overall correlated with 시도교육청코드 and 2 other fieldsHigh correlation
시도교육청코드 is highly overall correlated with 시도코드 and 2 other fieldsHigh correlation
교육지원청코드 is highly overall correlated with 시도코드 and 2 other fieldsHigh correlation
시도교육청명 is highly overall correlated with 시도코드 and 2 other fieldsHigh correlation
학구ID has unique valuesUnique
공간객체ID has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:11:14.918899
Analysis finished2024-04-06 08:11:23.399728
Duration8.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학구ID
Text

UNIQUE 

Distinct7090
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size55.5 KiB
2024-04-06T17:11:23.808018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters70900
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

Unique7090 ?
Unique (%)100.0%

Sample

1st rowZ000100988
2nd rowZ000100778
3rd rowZ000100785
4th rowZ000100679
5th rowZ000100534
ValueCountFrequency (%)
z000100988 1
 
< 0.1%
z000105336 1
 
< 0.1%
z000105905 1
 
< 0.1%
z000105809 1
 
< 0.1%
z000106028 1
 
< 0.1%
z000101218 1
 
< 0.1%
z000106025 1
 
< 0.1%
z000101140 1
 
< 0.1%
z000105520 1
 
< 0.1%
z000105985 1
 
< 0.1%
Other values (7080) 7080
99.9%
2024-04-06T17:11:24.872922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31163
44.0%
1 10721
 
15.1%
Z 7090
 
10.0%
5 4135
 
5.8%
2 3206
 
4.5%
3 3121
 
4.4%
4 2907
 
4.1%
6 2408
 
3.4%
9 2063
 
2.9%
8 2058
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63810
90.0%
Uppercase Letter 7090
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31163
48.8%
1 10721
 
16.8%
5 4135
 
6.5%
2 3206
 
5.0%
3 3121
 
4.9%
4 2907
 
4.6%
6 2408
 
3.8%
9 2063
 
3.2%
8 2058
 
3.2%
7 2028
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
Z 7090
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63810
90.0%
Latin 7090
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31163
48.8%
1 10721
 
16.8%
5 4135
 
6.5%
2 3206
 
5.0%
3 3121
 
4.9%
4 2907
 
4.6%
6 2408
 
3.8%
9 2063
 
3.2%
8 2058
 
3.2%
7 2028
 
3.2%
Latin
ValueCountFrequency (%)
Z 7090
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31163
44.0%
1 10721
 
15.1%
Z 7090
 
10.0%
5 4135
 
5.8%
2 3206
 
4.5%
3 3121
 
4.4%
4 2907
 
4.1%
6 2408
 
3.4%
9 2063
 
2.9%
8 2058
 
2.9%

학구명
Text

Distinct6205
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size55.5 KiB
2024-04-06T17:11:25.393048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length114
Median length7
Mean length9.412976
Min length7

Characters and Unicode

Total characters66738
Distinct characters413
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5622 ?
Unique (%)79.3%

Sample

1st row대구남부초통학구역
2nd row오션초통학구역
3rd row천가초통학구역
4th row금샘초통학구역
5th row서울송중초통학구역
ValueCountFrequency (%)
금성초통학구역 10
 
0.1%
송정초통학구역 8
 
0.1%
교동초통학구역 8
 
0.1%
삼성초통학구역 8
 
0.1%
남양초통학구역 7
 
0.1%
남산초통학구역 7
 
0.1%
옥산초통학구역 7
 
0.1%
성산초통학구역 6
 
0.1%
금산초통학구역 6
 
0.1%
오산초통학구역 6
 
0.1%
Other values (6223) 7064
99.0%
2024-04-06T17:11:26.342433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
초 9316
14.0%
구 7519
 
11.3%
학 7215
 
10.8%
역 7176
 
10.8%
통 7116
 
10.7%
동 1941
 
2.9%
공 1291
 
1.9%
서 1051
 
1.6%
천 847
 
1.3%
산 814
 
1.2%
Other values (403) 22452
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66043
99.0%
Open Punctuation 302
 
0.5%
Close Punctuation 300
 
0.4%
Space Separator 47
 
0.1%
Decimal Number 33
 
< 0.1%
Other Punctuation 7
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 9316
14.1%
구 7519
 
11.4%
학 7215
 
10.9%
역 7176
 
10.9%
통 7116
 
10.8%
동 1941
 
2.9%
공 1291
 
2.0%
서 1051
 
1.6%
천 847
 
1.3%
산 814
 
1.2%
Other values (388) 21757
32.9%
Decimal Number
ValueCountFrequency (%)
2 12
36.4%
1 5
15.2%
4 5
15.2%
3 4
 
12.1%
0 4
 
12.1%
6 3
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
: 2
28.6%
. 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 299
99.0%
[ 3
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 298
99.3%
] 2
 
0.7%
Space Separator
ValueCountFrequency (%)
47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66043
99.0%
Common 695
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 9316
14.1%
구 7519
 
11.4%
학 7215
 
10.9%
역 7176
 
10.9%
통 7116
 
10.8%
동 1941
 
2.9%
공 1291
 
2.0%
서 1051
 
1.6%
천 847
 
1.3%
산 814
 
1.2%
Other values (388) 21757
32.9%
Common
ValueCountFrequency (%)
( 299
43.0%
) 298
42.9%
47
 
6.8%
2 12
 
1.7%
~ 6
 
0.9%
1 5
 
0.7%
4 5
 
0.7%
3 4
 
0.6%
, 4
 
0.6%
0 4
 
0.6%
Other values (5) 11
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66043
99.0%
ASCII 695
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
초 9316
14.1%
구 7519
 
11.4%
학 7215
 
10.9%
역 7176
 
10.9%
통 7116
 
10.8%
동 1941
 
2.9%
공 1291
 
2.0%
서 1051
 
1.6%
천 847
 
1.3%
산 814
 
1.2%
Other values (388) 21757
32.9%
ASCII
ValueCountFrequency (%)
( 299
43.0%
) 298
42.9%
47
 
6.8%
2 12
 
1.7%
~ 6
 
0.9%
1 5
 
0.7%
4 5
 
0.7%
3 4
 
0.6%
, 4
 
0.6%
0 4
 
0.6%
Other values (5) 11
 
1.6%

학구분류
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.5 KiB
0
5771 
1
1319 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5771
81.4%
1 1319
 
18.6%

Length

2024-04-06T17:11:26.594208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:11:26.788328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5771
81.4%
1 1319
 
18.6%

시도코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.081805
Minimum11
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.4 KiB
2024-04-06T17:11:26.982221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q130
median41
Q347
95-th percentile52
Maximum52
Range41
Interquartile range (IQR)17

Descriptive statistics

Standard deviation11.435188
Coefficient of variation (CV)0.2925962
Kurtosis0.61684394
Mean39.081805
Median Absolute Deviation (MAD)6
Skewness-1.2167977
Sum277090
Variance130.76351
MonotonicityNot monotonic
2024-04-06T17:11:27.238207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
41 1700
24.0%
11 622
 
8.8%
48 618
 
8.7%
47 553
 
7.8%
46 510
 
7.2%
44 441
 
6.2%
52 434
 
6.1%
51 399
 
5.6%
43 336
 
4.7%
26 310
 
4.4%
Other values (7) 1167
16.5%
ValueCountFrequency (%)
11 622
 
8.8%
26 310
 
4.4%
27 247
 
3.5%
28 274
 
3.9%
29 166
 
2.3%
30 164
 
2.3%
31 125
 
1.8%
36 64
 
0.9%
41 1700
24.0%
43 336
 
4.7%
ValueCountFrequency (%)
52 434
 
6.1%
51 399
 
5.6%
50 127
 
1.8%
48 618
 
8.7%
47 553
 
7.8%
46 510
 
7.2%
44 441
 
6.2%
43 336
 
4.7%
41 1700
24.0%
36 64
 
0.9%

시군구코드
Real number (ℝ)

Distinct101
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean382.82623
Minimum110
Maximum940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.4 KiB
2024-04-06T17:11:27.539010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile111
Q1170
median271
Q3620
95-th percentile830
Maximum940
Range830
Interquartile range (IQR)450

Descriptive statistics

Standard deviation258.10387
Coefficient of variation (CV)0.67420632
Kurtosis-1.1080565
Mean382.82623
Median Absolute Deviation (MAD)141
Skewness0.64330499
Sum2714238
Variance66617.605
MonotonicityNot monotonic
2024-04-06T17:11:27.912337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130 323
 
4.6%
110 317
 
4.5%
170 278
 
3.9%
200 262
 
3.7%
710 234
 
3.3%
150 220
 
3.1%
230 216
 
3.0%
140 210
 
3.0%
190 182
 
2.6%
590 162
 
2.3%
Other values (91) 4686
66.1%
ValueCountFrequency (%)
110 317
4.5%
111 127
1.8%
112 20
 
0.3%
113 147
2.1%
114 26
 
0.4%
115 15
 
0.2%
117 33
 
0.5%
121 39
 
0.6%
123 25
 
0.4%
125 24
 
0.3%
ValueCountFrequency (%)
940 4
 
0.1%
930 14
 
0.2%
920 25
0.4%
910 23
0.3%
900 31
0.4%
890 44
0.6%
880 35
0.5%
870 34
0.5%
860 31
0.4%
850 46
0.6%

시도교육청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7907059.7
Minimum7010000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.4 KiB
2024-04-06T17:11:28.130478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010000
5-th percentile7010000
Q17430000
median7530000
Q38490000
95-th percentile9010000
Maximum9300000
Range2290000
Interquartile range (IQR)1060000

Descriptive statistics

Standard deviation653181.85
Coefficient of variation (CV)0.082607426
Kurtosis-0.96886586
Mean7907059.7
Median Absolute Deviation (MAD)470000
Skewness0.48016208
Sum5.6061053 × 1010
Variance4.2664653 × 1011
MonotonicityNot monotonic
2024-04-06T17:11:28.342160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
7530000 1700
24.0%
7010000 622
 
8.8%
9010000 618
 
8.7%
8750000 553
 
7.8%
8490000 510
 
7.2%
8140000 441
 
6.2%
8321000 434
 
6.1%
7801000 399
 
5.6%
8000000 336
 
4.7%
7150000 310
 
4.4%
Other values (7) 1167
16.5%
ValueCountFrequency (%)
7010000 622
 
8.8%
7150000 310
 
4.4%
7240000 247
 
3.5%
7310000 274
 
3.9%
7380000 166
 
2.3%
7430000 164
 
2.3%
7480000 125
 
1.8%
7530000 1700
24.0%
7801000 399
 
5.6%
8000000 336
 
4.7%
ValueCountFrequency (%)
9300000 64
 
0.9%
9290000 127
 
1.8%
9010000 618
 
8.7%
8750000 553
 
7.8%
8490000 510
 
7.2%
8321000 434
 
6.1%
8140000 441
 
6.2%
8000000 336
 
4.7%
7801000 399
 
5.6%
7530000 1700
24.0%

시도교육청명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size55.5 KiB
경기도교육청
1700 
서울특별시교육청
622 
경상남도교육청
618 
경상북도교육청
553 
전라남도교육청
510 
Other values (12)
3087 

Length

Max length10
Median length8
Mean length7.4626234
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시교육청
2nd row부산광역시교육청
3rd row부산광역시교육청
4th row부산광역시교육청
5th row서울특별시교육청

Common Values

ValueCountFrequency (%)
경기도교육청 1700
24.0%
서울특별시교육청 622
 
8.8%
경상남도교육청 618
 
8.7%
경상북도교육청 553
 
7.8%
전라남도교육청 510
 
7.2%
충청남도교육청 441
 
6.2%
전북특별자치도교육청 434
 
6.1%
강원특별자치도교육청 399
 
5.6%
충청북도교육청 336
 
4.7%
부산광역시교육청 310
 
4.4%
Other values (7) 1167
16.5%

Length

2024-04-06T17:11:28.691289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 1700
24.0%
서울특별시교육청 622
 
8.8%
경상남도교육청 618
 
8.7%
경상북도교육청 553
 
7.8%
전라남도교육청 510
 
7.2%
충청남도교육청 441
 
6.2%
전북특별자치도교육청 434
 
6.1%
강원특별자치도교육청 399
 
5.6%
충청북도교육청 336
 
4.7%
부산광역시교육청 310
 
4.4%
Other values (7) 1167
16.5%

교육지원청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct176
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7986586.6
Minimum7021000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.4 KiB
2024-04-06T17:11:28.966818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7021000
5-th percentile7091300
Q17451000
median7771000
Q38521000
95-th percentile9151000
Maximum9300000
Range2279000
Interquartile range (IQR)1070000

Descriptive statistics

Standard deviation658529.58
Coefficient of variation (CV)0.082454447
Kurtosis-1.0005417
Mean7986586.6
Median Absolute Deviation (MAD)490000
Skewness0.43006987
Sum5.6624899 × 1010
Variance4.3366121 × 1011
MonotonicityNot monotonic
2024-04-06T17:11:29.325487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7679000 173
 
2.4%
7751000 151
 
2.1%
7621000 145
 
2.0%
9022000 133
 
1.9%
8011000 109
 
1.5%
7541000 108
 
1.5%
7401000 106
 
1.5%
7652000 94
 
1.3%
7551000 91
 
1.3%
7451000 87
 
1.2%
Other values (166) 5893
83.1%
ValueCountFrequency (%)
7021000 47
0.7%
7031000 65
0.9%
7041000 72
1.0%
7051000 65
0.9%
7061000 34
0.5%
7081300 66
0.9%
7091300 63
0.9%
7121200 38
0.5%
7130000 78
1.1%
7132000 43
0.6%
ValueCountFrequency (%)
9300000 64
0.9%
9299000 51
0.7%
9296000 76
1.1%
9221000 20
 
0.3%
9211000 18
 
0.3%
9201000 17
 
0.2%
9191000 19
 
0.3%
9181000 23
 
0.3%
9171000 14
 
0.2%
9161000 23
 
0.3%

교육지원청명
Text

Distinct177
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size55.5 KiB
2024-04-06T17:11:29.732033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length11.750212
Min length10

Characters and Unicode

Total characters83309
Distinct characters133
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

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시남부교육지원청
2nd row부산광역시북부교육지원청
3rd row부산광역시북부교육지원청
4th row부산광역시동래교육지원청
5th row서울특별시성북강북교육지원청
ValueCountFrequency (%)
경기도화성오산교육지원청 173
 
2.4%
경기도용인교육지원청 150
 
2.1%
경기도고양교육지원청 145
 
2.0%
경상남도창원교육지원청 133
 
1.9%
충청북도청주교육지원청 109
 
1.5%
경기도수원교육지원청 108
 
1.5%
광주광역시서부교육지원청 106
 
1.5%
경기도구리남양주교육지원청 94
 
1.3%
경기도성남교육지원청 91
 
1.3%
대전광역시서부교육지원청 87
 
1.2%
Other values (167) 5894
83.1%
2024-04-06T17:11:30.562449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 8027
 
9.6%
원 7767
 
9.3%
육 7090
 
8.5%
교 7090
 
8.5%
지 7026
 
8.4%
도 5172
 
6.2%
경 2983
 
3.6%
남 2293
 
2.8%
시 2151
 
2.6%
부 1733
 
2.1%
Other values (123) 31977
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83309
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 8027
 
9.6%
원 7767
 
9.3%
육 7090
 
8.5%
교 7090
 
8.5%
지 7026
 
8.4%
도 5172
 
6.2%
경 2983
 
3.6%
남 2293
 
2.8%
시 2151
 
2.6%
부 1733
 
2.1%
Other values (123) 31977
38.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83309
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 8027
 
9.6%
원 7767
 
9.3%
육 7090
 
8.5%
교 7090
 
8.5%
지 7026
 
8.4%
도 5172
 
6.2%
경 2983
 
3.6%
남 2293
 
2.8%
시 2151
 
2.6%
부 1733
 
2.1%
Other values (123) 31977
38.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83309
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 8027
 
9.6%
원 7767
 
9.3%
육 7090
 
8.5%
교 7090
 
8.5%
지 7026
 
8.4%
도 5172
 
6.2%
경 2983
 
3.6%
남 2293
 
2.8%
시 2151
 
2.6%
부 1733
 
2.1%
Other values (123) 31977
38.4%

생성일자
Date

Distinct343
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size55.5 KiB
Minimum2016-08-12 00:00:00
Maximum2024-03-20 00:00:00
2024-04-06T17:11:31.009479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:31.406967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

변경일자
Date

Distinct425
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size55.5 KiB
Minimum2016-08-12 00:00:00
Maximum2024-03-21 00:00:00
2024-04-06T17:11:31.718765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:32.101724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공간객체ID
Real number (ℝ)

UNIQUE 

Distinct7090
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1572030.5
Minimum1568486
Maximum1575575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.4 KiB
2024-04-06T17:11:32.368424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1568486
5-th percentile1568840.4
Q11570258.2
median1572030.5
Q31573802.8
95-th percentile1575220.6
Maximum1575575
Range7089
Interquartile range (IQR)3544.5

Descriptive statistics

Standard deviation2046.851
Coefficient of variation (CV)0.0013020428
Kurtosis-1.2
Mean1572030.5
Median Absolute Deviation (MAD)1772.5
Skewness0
Sum1.1145696 × 1010
Variance4189599.2
MonotonicityNot monotonic
2024-04-06T17:11:32.834358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1572555 1
 
< 0.1%
1571281 1
 
< 0.1%
1571469 1
 
< 0.1%
1571377 1
 
< 0.1%
1571376 1
 
< 0.1%
1571375 1
 
< 0.1%
1571374 1
 
< 0.1%
1571373 1
 
< 0.1%
1571372 1
 
< 0.1%
1571371 1
 
< 0.1%
Other values (7080) 7080
99.9%
ValueCountFrequency (%)
1568486 1
< 0.1%
1568487 1
< 0.1%
1568488 1
< 0.1%
1568489 1
< 0.1%
1568490 1
< 0.1%
1568491 1
< 0.1%
1568492 1
< 0.1%
1568493 1
< 0.1%
1568494 1
< 0.1%
1568495 1
< 0.1%
ValueCountFrequency (%)
1575575 1
< 0.1%
1575574 1
< 0.1%
1575573 1
< 0.1%
1575572 1
< 0.1%
1575571 1
< 0.1%
1575570 1
< 0.1%
1575569 1
< 0.1%
1575568 1
< 0.1%
1575567 1
< 0.1%
1575566 1
< 0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.5 KiB
2024-03-22
7090 

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 7090
100.0%

Length

2024-04-06T17:11:33.132170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:11:33.335685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-22 7090
100.0%

제공기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.5 KiB
C738100
7090 

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 7090
100.0%

Length

2024-04-06T17:11:33.584091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:11:33.799016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c738100 7090
100.0%

제공기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.5 KiB
청주대학교 지방교육재정연구원
7090 

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 7090
100.0%

Length

2024-04-06T17:11:33.976991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:11:34.152178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청주대학교 7090
50.0%
지방교육재정연구원 7090
50.0%

Interactions

2024-04-06T17:11:21.081907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:17.229617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:18.192273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:19.079661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:20.035484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:21.323108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:17.391372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:18.356791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:19.266359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:20.255725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:21.580392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:17.541941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:18.529471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:19.443034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:20.424555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:21.895700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:17.729528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:18.704671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:19.617019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:20.654125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:22.077167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:17.926629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:18.875504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:19.794965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:11:20.826216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:11:34.268228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학구분류시도코드시군구코드시도교육청코드시도교육청명교육지원청코드공간객체ID
학구분류1.0000.1650.1140.2570.2530.2400.291
시도코드0.1651.0000.5370.9261.0000.8650.309
시군구코드0.1140.5371.0000.7280.6570.7130.274
시도교육청코드0.2570.9260.7281.0001.0000.9850.491
시도교육청명0.2531.0000.6571.0001.0000.9580.469
교육지원청코드0.2400.8650.7130.9850.9581.0000.434
공간객체ID0.2910.3090.2740.4910.4690.4341.000
2024-04-06T17:11:34.486224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도교육청명학구분류
시도교육청명1.0000.227
학구분류0.2271.000
2024-04-06T17:11:34.735902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도코드시군구코드시도교육청코드교육지원청코드공간객체ID학구분류시도교육청명
시도코드1.000-0.0460.8770.8660.0090.1760.999
시군구코드-0.0461.000-0.075-0.001-0.0120.0870.325
시도교육청코드0.877-0.0751.0000.9880.0190.2041.000
교육지원청코드0.866-0.0010.9881.0000.0180.1830.813
공간객체ID0.009-0.0120.0190.0181.0000.2230.203
학구분류0.1760.0870.2040.1830.2231.0000.227
시도교육청명0.9990.3251.0000.8130.2030.2271.000

Missing values

2024-04-06T17:11:22.371375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:11:23.136637image/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

학구ID학구명학구분류시도코드시군구코드시도교육청코드시도교육청명교육지원청코드교육지원청명생성일자변경일자공간객체ID데이터기준일자제공기관코드제공기관명
0Z000100988대구남부초통학구역0272907240000대구광역시교육청7271000대구광역시남부교육지원청2016-08-122016-08-1215725552024-03-22C738100청주대학교 지방교육재정연구원
1Z000100778오션초통학구역0264407150000부산광역시교육청7201000부산광역시북부교육지원청2016-08-122016-08-1215725562024-03-22C738100청주대학교 지방교육재정연구원
2Z000100785천가초통학구역0264407150000부산광역시교육청7201000부산광역시북부교육지원청2016-08-122016-08-1215725572024-03-22C738100청주대학교 지방교육재정연구원
3Z000100679금샘초통학구역0264107150000부산광역시교육청7191000부산광역시동래교육지원청2016-08-122016-08-1215725582024-03-22C738100청주대학교 지방교육재정연구원
4Z000100534서울송중초통학구역0113057010000서울특별시교육청7121200서울특별시성북강북교육지원청2016-08-122016-08-1215726622024-03-22C738100청주대학교 지방교육재정연구원
5Z000100166서울계상초통학구역0113507010000서울특별시교육청7051000서울특별시북부교육지원청2016-08-122016-08-1215726632024-03-22C738100청주대학교 지방교육재정연구원
6Z000100948대구매천초통학구역0272307240000대구광역시교육청7261000대구광역시서부교육지원청2016-08-122016-08-1215726642024-03-22C738100청주대학교 지방교육재정연구원
7Z000100216서울창림초통학구역0113207010000서울특별시교육청7051000서울특별시북부교육지원청2016-08-122016-08-1215726652024-03-22C738100청주대학교 지방교육재정연구원
8Z000100196서울신화초통학구역0113507010000서울특별시교육청7051000서울특별시북부교육지원청2016-08-122016-08-1215726662024-03-22C738100청주대학교 지방교육재정연구원
9Z000106314대구팔공초통학구역0271407240000대구광역시교육청7251000대구광역시동부교육지원청2021-02-172021-02-2315723942024-03-22C738100청주대학교 지방교육재정연구원
학구ID학구명학구분류시도코드시군구코드시도교육청코드시도교육청명교육지원청코드교육지원청명생성일자변경일자공간객체ID데이터기준일자제공기관코드제공기관명
7080Z000103047반곡초통학구역0511307801000강원특별자치도교육청7822000강원특별자치도원주교육지원청2016-08-122020-07-0915691642024-03-22C738100청주대학교 지방교육재정연구원
7081Z000103035단계초통학구역0511307801000강원특별자치도교육청7822000강원특별자치도원주교육지원청2016-08-122020-07-0915691652024-03-22C738100청주대학교 지방교육재정연구원
7082Z000150954서산동문초오산초공동(일방)통학구역1442108140000충청남도교육청8191000충청남도서산교육지원청2020-03-242020-03-2415692522024-03-22C738100청주대학교 지방교육재정연구원
7083Z000150956서산초오산초공동(일방)통학구역1442108140000충청남도교육청8191000충청남도서산교육지원청2020-03-242020-03-2415692532024-03-22C738100청주대학교 지방교육재정연구원
7084Z000106015제주남초통학구역0501109290000제주특별자치도교육청9296000제주특별자치도제주시교육지원청2016-08-122020-06-0815692542024-03-22C738100청주대학교 지방교육재정연구원
7085Z000150955서산서남초오산초공동(일방)통학구역1442108140000충청남도교육청8191000충청남도서산교육지원청2020-03-242020-03-2415692552024-03-22C738100청주대학교 지방교육재정연구원
7086Z000103807온양초사초통학구역0442008140000충청남도교육청8181000충청남도아산교육지원청2016-08-122016-08-1215693202024-03-22C738100청주대학교 지방교육재정연구원
7087Z000101875성남여수초통학구역0411337530000경기도교육청7551000경기도성남교육지원청2016-08-122016-08-1215693212024-03-22C738100청주대학교 지방교육재정연구원
7088Z000104280남원대산초통학구역0521908321000전북특별자치도교육청8372000전북특별자치도남원교육지원청2016-08-122024-02-2315704792024-03-22C738100청주대학교 지방교육재정연구원
7089Z000101422산월초통학구역0292007380000광주광역시교육청7401000광주광역시서부교육지원청2016-08-122016-08-1215695592024-03-22C738100청주대학교 지방교육재정연구원