Overview

Dataset statistics

Number of variables13
Number of observations266
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.7 KiB
Average record size in memory110.5 B

Variable types

Text2
Categorical8
Numeric3

Dataset

Description중학교 학교군 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=17NV5J65VMKTKMM2EIPD24554345&infSeq=1

Alerts

시도코드 has constant value ""Constant
시도교육청코드 has constant value ""Constant
시도교육청 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시군구코드 is highly overall correlated with 교육지원청코드 and 1 other fieldsHigh correlation
교육지원청코드 is highly overall correlated with 시군구코드 and 1 other fieldsHigh correlation
교육지원청명 is highly overall correlated with 시군구코드 and 1 other fieldsHigh correlation
생성일자 is highly overall correlated with 변경일자High correlation
변경일자 is highly overall correlated with 생성일자High correlation
생성일자 is highly imbalanced (91.4%)Imbalance
변경일자 is highly imbalanced (69.9%)Imbalance
학구ID has unique valuesUnique
공간객체ID has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:36:48.053462
Analysis finished2023-12-10 21:36:49.870755
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학구ID
Text

UNIQUE 

Distinct266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T06:36:50.142227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2660
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

Unique266 ?
Unique (%)100.0%

Sample

1st rowZ000200375
2nd rowZ000200376
3rd rowZ000200377
4th rowZ000200378
5th rowZ000200379
ValueCountFrequency (%)
z000200375 1
 
0.4%
z000210024 1
 
0.4%
z000210011 1
 
0.4%
z000200306 1
 
0.4%
z000210012 1
 
0.4%
z000210013 1
 
0.4%
z000210014 1
 
0.4%
z000210015 1
 
0.4%
z000210016 1
 
0.4%
z000210017 1
 
0.4%
Other values (256) 256
96.2%
2023-12-11T06:36:50.624372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1387
52.1%
2 423
 
15.9%
Z 266
 
10.0%
3 155
 
5.8%
1 114
 
4.3%
4 62
 
2.3%
9 60
 
2.3%
8 53
 
2.0%
5 47
 
1.8%
6 47
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2394
90.0%
Uppercase Letter 266
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1387
57.9%
2 423
 
17.7%
3 155
 
6.5%
1 114
 
4.8%
4 62
 
2.6%
9 60
 
2.5%
8 53
 
2.2%
5 47
 
2.0%
6 47
 
2.0%
7 46
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
Z 266
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2394
90.0%
Latin 266
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1387
57.9%
2 423
 
17.7%
3 155
 
6.5%
1 114
 
4.8%
4 62
 
2.6%
9 60
 
2.5%
8 53
 
2.2%
5 47
 
2.0%
6 47
 
2.0%
7 46
 
1.9%
Latin
ValueCountFrequency (%)
Z 266
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1387
52.1%
2 423
 
15.9%
Z 266
 
10.0%
3 155
 
5.8%
1 114
 
4.3%
4 62
 
2.3%
9 60
 
2.3%
8 53
 
2.0%
5 47
 
1.8%
6 47
 
1.8%
Distinct265
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T06:36:50.854103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length5
Mean length6.5037594
Min length5

Characters and Unicode

Total characters1730
Distinct characters158
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique264 ?
Unique (%)99.2%

Sample

1st row동백중학군
2nd row모현중학구
3rd row백암중학구
4th row서천중학구
5th row수지1중학군
ValueCountFrequency (%)
북부중학군 4
 
1.5%
영통중학군 3
 
1.1%
남부중학군 2
 
0.7%
3구역 2
 
0.7%
2구역 2
 
0.7%
1구역 2
 
0.7%
정남중학구봉담중학군공동학구 1
 
0.4%
오산중학군운암중학군공동학구 1
 
0.4%
안용중학구세교중학군공동학구 1
 
0.4%
전곡중학구남면중학구어유중학구공동학구 1
 
0.4%
Other values (254) 254
93.0%
2023-12-11T06:36:51.220809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
19.2%
310
17.9%
213
 
12.3%
134
 
7.7%
46
 
2.7%
32
 
1.8%
23
 
1.3%
21
 
1.2%
18
 
1.0%
17
 
1.0%
Other values (148) 583
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1700
98.3%
Decimal Number 19
 
1.1%
Space Separator 7
 
0.4%
Dash Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
333
19.6%
310
18.2%
213
 
12.5%
134
 
7.9%
46
 
2.7%
32
 
1.9%
23
 
1.4%
21
 
1.2%
18
 
1.1%
17
 
1.0%
Other values (141) 553
32.5%
Decimal Number
ValueCountFrequency (%)
2 9
47.4%
1 7
36.8%
3 3
 
15.8%
Other Punctuation
ValueCountFrequency (%)
? 1
50.0%
· 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1700
98.3%
Common 30
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
333
19.6%
310
18.2%
213
 
12.5%
134
 
7.9%
46
 
2.7%
32
 
1.9%
23
 
1.4%
21
 
1.2%
18
 
1.1%
17
 
1.0%
Other values (141) 553
32.5%
Common
ValueCountFrequency (%)
2 9
30.0%
7
23.3%
1 7
23.3%
3 3
 
10.0%
- 2
 
6.7%
? 1
 
3.3%
· 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1699
98.2%
ASCII 29
 
1.7%
Compat Jamo 1
 
0.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
333
19.6%
310
18.2%
213
 
12.5%
134
 
7.9%
46
 
2.7%
32
 
1.9%
23
 
1.4%
21
 
1.2%
18
 
1.1%
17
 
1.0%
Other values (140) 552
32.5%
ASCII
ValueCountFrequency (%)
2 9
31.0%
7
24.1%
1 7
24.1%
3 3
 
10.3%
- 2
 
6.9%
? 1
 
3.4%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

학구분류
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
235 
1
31 

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 (%)
0 235
88.3%
1 31
 
11.7%

Length

2023-12-11T06:36:51.350107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:51.469495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 235
88.3%
1 31
 
11.7%

시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
41
266 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41
2nd row41
3rd row41
4th row41
5th row41

Common Values

ValueCountFrequency (%)
41 266
100.0%

Length

2023-12-11T06:36:51.585498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:51.934588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41 266
100.0%

시군구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct42
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean471.73308
Minimum111
Maximum830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T06:36:52.026172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum111
5-th percentile133.5
Q1287
median480
Q3590
95-th percentile820
Maximum830
Range719
Interquartile range (IQR)303

Descriptive statistics

Standard deviation193.24188
Coefficient of variation (CV)0.40964241
Kurtosis-0.76877503
Mean471.73308
Median Absolute Deviation (MAD)130
Skewness-0.0077525624
Sum125481
Variance37342.423
MonotonicityNot monotonic
2023-12-11T06:36:52.178347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
590 30
 
11.3%
220 16
 
6.0%
360 16
 
6.0%
650 15
 
5.6%
570 14
 
5.3%
480 14
 
5.3%
281 12
 
4.5%
390 12
 
4.5%
830 11
 
4.1%
500 10
 
3.8%
Other values (32) 116
43.6%
ValueCountFrequency (%)
111 1
 
0.4%
113 6
2.3%
115 1
 
0.4%
117 4
1.5%
131 1
 
0.4%
133 1
 
0.4%
135 2
 
0.8%
150 1
 
0.4%
171 1
 
0.4%
173 1
 
0.4%
ValueCountFrequency (%)
830 11
 
4.1%
820 6
 
2.3%
800 9
 
3.4%
670 10
 
3.8%
650 15
5.6%
630 6
 
2.3%
610 6
 
2.3%
590 30
11.3%
570 14
5.3%
550 8
 
3.0%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
7530000
266 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7530000
2nd row7530000
3rd row7530000
4th row7530000
5th row7530000

Common Values

ValueCountFrequency (%)
7530000 266
100.0%

Length

2023-12-11T06:36:52.298470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:52.380252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7530000 266
100.0%

시도교육청
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
경기도교육청
266 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도교육청 266
100.0%

Length

2023-12-11T06:36:52.467065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:52.565753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도교육청 266
100.0%

교육지원청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7677887.2
Minimum7541000
Maximum7781000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T06:36:52.665469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7541000
5-th percentile7551000
Q17631000
median7679000
Q37731000
95-th percentile7771000
Maximum7781000
Range240000
Interquartile range (IQR)100000

Descriptive statistics

Standard deviation62925.311
Coefficient of variation (CV)0.0081956545
Kurtosis-0.51865648
Mean7677887.2
Median Absolute Deviation (MAD)48000
Skewness-0.27185697
Sum2.042318 × 109
Variance3.9595948 × 109
MonotonicityNot monotonic
2023-12-11T06:36:52.794719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
7679000 35
 
13.2%
7621000 23
 
8.6%
7652000 18
 
6.8%
7631000 16
 
6.0%
7751000 16
 
6.0%
7711000 15
 
5.6%
7681000 14
 
5.3%
7771000 14
 
5.3%
7541000 12
 
4.5%
7781000 12
 
4.5%
Other values (15) 91
34.2%
ValueCountFrequency (%)
7541000 12
4.5%
7551000 4
 
1.5%
7561000 1
 
0.4%
7569000 3
 
1.1%
7581000 1
 
0.4%
7591000 1
 
0.4%
7602000 7
 
2.6%
7611000 8
 
3.0%
7621000 23
8.6%
7631000 16
6.0%
ValueCountFrequency (%)
7781000 12
4.5%
7771000 14
5.3%
7761000 7
2.6%
7751000 16
6.0%
7741000 10
3.8%
7731000 11
4.1%
7721000 6
 
2.3%
7711000 15
5.6%
7701000 9
3.4%
7692000 9
3.4%

교육지원청명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
경기도화성오산교육지원청
35 
경기도고양교육지원청
23 
경기도구리남양주교육지원청
18 
경기도용인교육지원청
16 
경기도평택교육지원청
16 
Other values (20)
158 

Length

Max length13
Median length10
Mean length10.669173
Min length10

Unique

Unique3 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
경기도화성오산교육지원청 35
 
13.2%
경기도고양교육지원청 23
 
8.6%
경기도구리남양주교육지원청 18
 
6.8%
경기도용인교육지원청 16
 
6.0%
경기도평택교육지원청 16
 
6.0%
경기도포천교육지원청 15
 
5.6%
경기도파주교육지원청 14
 
5.3%
경기도김포교육지원청 14
 
5.3%
경기도수원교육지원청 12
 
4.5%
경기도시흥교육지원청 12
 
4.5%
Other values (15) 91
34.2%

Length

2023-12-11T06:36:52.939444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도화성오산교육지원청 35
 
13.2%
경기도고양교육지원청 23
 
8.6%
경기도구리남양주교육지원청 18
 
6.8%
경기도용인교육지원청 16
 
6.0%
경기도평택교육지원청 16
 
6.0%
경기도포천교육지원청 15
 
5.6%
경기도파주교육지원청 14
 
5.3%
경기도김포교육지원청 14
 
5.3%
경기도수원교육지원청 12
 
4.5%
경기도시흥교육지원청 12
 
4.5%
Other values (15) 91
34.2%

생성일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2016-08-12
260 
2018-03-28
 
2
2018-05-15
 
2
2018-11-11
 
1
2019-08-01
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
2016-08-12 260
97.7%
2018-03-28 2
 
0.8%
2018-05-15 2
 
0.8%
2018-11-11 1
 
0.4%
2019-08-01 1
 
0.4%

Length

2023-12-11T06:36:53.056490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:53.156332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016-08-12 260
97.7%
2018-03-28 2
 
0.8%
2018-05-15 2
 
0.8%
2018-11-11 1
 
0.4%
2019-08-01 1
 
0.4%

변경일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2016-08-12
224 
2018-03-05
 
12
2019-06-25
 
5
2018-05-15
 
5
2018-09-05
 
3
Other values (9)
 
17

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)1.5%

Sample

1st row2019-06-25
2nd row2016-08-12
3rd row2016-08-12
4th row2016-08-12
5th row2016-08-12

Common Values

ValueCountFrequency (%)
2016-08-12 224
84.2%
2018-03-05 12
 
4.5%
2019-06-25 5
 
1.9%
2018-05-15 5
 
1.9%
2018-09-05 3
 
1.1%
2018-03-08 3
 
1.1%
2018-11-11 3
 
1.1%
2018-03-28 3
 
1.1%
2019-08-01 2
 
0.8%
2016-10-05 2
 
0.8%
Other values (4) 4
 
1.5%

Length

2023-12-11T06:36:53.263704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2016-08-12 224
84.2%
2018-03-05 12
 
4.5%
2019-06-25 5
 
1.9%
2018-05-15 5
 
1.9%
2018-09-05 3
 
1.1%
2018-03-08 3
 
1.1%
2018-11-11 3
 
1.1%
2018-03-28 3
 
1.1%
2019-08-01 2
 
0.8%
2016-10-05 2
 
0.8%
Other values (4) 4
 
1.5%

공간객체ID
Real number (ℝ)

UNIQUE 

Distinct266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean681.2218
Minimum1
Maximum1530
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T06:36:53.377778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.75
Q1259
median607.5
Q31009.75
95-th percentile1457.75
Maximum1530
Range1529
Interquartile range (IQR)750.75

Descriptive statistics

Standard deviation462.82027
Coefficient of variation (CV)0.67939732
Kurtosis-1.1296414
Mean681.2218
Median Absolute Deviation (MAD)401
Skewness0.1238967
Sum181205
Variance214202.6
MonotonicityNot monotonic
2023-12-11T06:36:53.523166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1516 1
 
0.4%
1261 1
 
0.4%
846 1
 
0.4%
84 1
 
0.4%
380 1
 
0.4%
85 1
 
0.4%
1011 1
 
0.4%
531 1
 
0.4%
530 1
 
0.4%
51 1
 
0.4%
Other values (256) 256
96.2%
ValueCountFrequency (%)
1 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
11 1
0.4%
18 1
0.4%
ValueCountFrequency (%)
1530 1
0.4%
1529 1
0.4%
1517 1
0.4%
1516 1
0.4%
1515 1
0.4%
1514 1
0.4%
1513 1
0.4%
1511 1
0.4%
1470 1
0.4%
1464 1
0.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2019-09-16
266 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-09-16
2nd row2019-09-16
3rd row2019-09-16
4th row2019-09-16
5th row2019-09-16

Common Values

ValueCountFrequency (%)
2019-09-16 266
100.0%

Length

2023-12-11T06:36:53.680658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:53.767751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-09-16 266
100.0%

Interactions

2023-12-11T06:36:49.217517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:48.576162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:48.913067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:49.317681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:48.677682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:49.023270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:49.426659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:48.786494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:49.115716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:36:53.826720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학구분류시군구코드교육지원청코드교육지원청명생성일자변경일자공간객체ID
학구분류1.0000.3000.2580.4760.0000.0000.317
시군구코드0.3001.0000.8680.9920.1180.6640.430
교육지원청코드0.2580.8681.0001.0000.3230.6250.650
교육지원청명0.4760.9921.0001.0000.2990.8350.696
생성일자0.0000.1180.3230.2991.0000.8580.418
변경일자0.0000.6640.6250.8350.8581.0000.527
공간객체ID0.3170.4300.6500.6960.4180.5271.000
2023-12-11T06:36:53.933604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
변경일자교육지원청명생성일자학구분류
변경일자1.0000.4310.6550.000
교육지원청명0.4311.0000.1270.394
생성일자0.6550.1271.0000.000
학구분류0.0000.3940.0001.000
2023-12-11T06:36:54.027827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구코드교육지원청코드공간객체ID학구분류교육지원청명생성일자변경일자
시군구코드1.0000.5550.1870.2950.9240.0660.351
교육지원청코드0.5551.0000.0790.2130.9700.1440.379
공간객체ID0.1870.0791.0000.2390.3170.1840.242
학구분류0.2950.2130.2391.0000.3940.0000.000
교육지원청명0.9240.9700.3170.3941.0000.1270.431
생성일자0.0660.1440.1840.0000.1271.0000.655
변경일자0.3510.3790.2420.0000.4310.6551.000

Missing values

2023-12-11T06:36:49.600093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:36:49.798137image/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

학구ID학구명학구분류시도코드시군구코드시도교육청코드시도교육청교육지원청코드교육지원청명생성일자변경일자공간객체ID데이터기준일자
0Z000200375동백중학군0414637530000경기도교육청7751000경기도용인교육지원청2016-08-122019-06-2515162019-09-16
1Z000200376모현중학구0414617530000경기도교육청7751000경기도용인교육지원청2016-08-122016-08-129232019-09-16
2Z000200377백암중학구0414617530000경기도교육청7751000경기도용인교육지원청2016-08-122016-08-1213922019-09-16
3Z000200378서천중학구0414637530000경기도교육청7751000경기도용인교육지원청2016-08-122016-08-125892019-09-16
4Z000200379수지1중학군0414657530000경기도교육청7751000경기도용인교육지원청2016-08-122016-08-12312019-09-16
5Z000200184고색중학구0411137530000경기도교육청7541000경기도수원교육지원청2016-08-122018-03-054492019-09-16
6Z000200185광교중학군0411177530000경기도교육청7541000경기도수원교육지원청2016-08-122018-03-051232019-09-16
7Z000200186남부중학군0411137530000경기도교육청7541000경기도수원교육지원청2016-08-122018-03-051102019-09-16
8Z000200187동부중학군0411157530000경기도교육청7541000경기도수원교육지원청2016-08-122018-03-053292019-09-16
9Z000200188북부중학군 1구역0411117530000경기도교육청7541000경기도수원교육지원청2016-08-122018-03-051512019-09-16
학구ID학구명학구분류시도코드시군구코드시도교육청코드시도교육청교육지원청코드교육지원청명생성일자변경일자공간객체ID데이터기준일자
256Z000200365부발중학구0415007530000경기도교육청7741000경기도이천교육지원청2016-08-122016-08-125982019-09-16
257Z000200366설성중학구0415007530000경기도교육청7741000경기도이천교육지원청2016-08-122016-08-125842019-09-16
258Z000200367율면중학구0415007530000경기도교육청7741000경기도이천교육지원청2016-08-122016-08-127152019-09-16
259Z000200368이천중학군0415007530000경기도교육청7741000경기도이천교육지원청2016-08-122016-08-125782019-09-16
260Z000200369장호원중학구0415007530000경기도교육청7741000경기도이천교육지원청2016-08-122016-08-128052019-09-16
261Z000200370효양사동중학군0415007530000경기도교육청7741000경기도이천교육지원청2016-08-122016-08-125882019-09-16
262Z000200371구성중학군0414637530000경기도교육청7751000경기도용인교육지원청2016-08-122019-06-2515142019-09-16
263Z000200372기흥1중학군0414637530000경기도교육청7751000경기도용인교육지원청2016-08-122019-06-2415112019-09-16
264Z000200373기흥2중학군0414637530000경기도교육청7751000경기도용인교육지원청2016-08-122019-06-2515172019-09-16
265Z000200374남사중학구0414617530000경기도교육청7751000경기도용인교육지원청2016-08-122016-08-125852019-09-16