Overview

Dataset statistics

Number of variables10
Number of observations567
Missing cells472
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.5 KiB
Average record size in memory82.2 B

Variable types

Numeric2
Categorical3
Text5

Dataset

Description대전광역시교육청 관내 유치원, 초·중·고의 학교 정보로 학교명, 주소, 우편번호, 전화번호, 관할교육청 등의 데이터입니다.
URLhttps://www.data.go.kr/data/3033340/fileData.do

Alerts

번호 is highly overall correlated with 공/사립High correlation
우편번호 is highly overall correlated with 관할교육청High correlation
구분 is highly overall correlated with 관할교육청 and 1 other fieldsHigh correlation
관할교육청 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
공/사립 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
우편번호 has 6 (1.1%) missing valuesMissing
팩스번호 has 249 (43.9%) missing valuesMissing
홈페이지 has 217 (38.3%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:27:46.816578
Analysis finished2023-12-12 15:27:48.262150
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct567
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean284
Minimum1
Maximum567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-13T00:27:48.392802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29.3
Q1142.5
median284
Q3425.5
95-th percentile538.7
Maximum567
Range566
Interquartile range (IQR)283

Descriptive statistics

Standard deviation163.82308
Coefficient of variation (CV)0.57684181
Kurtosis-1.2
Mean284
Median Absolute Deviation (MAD)142
Skewness0
Sum161028
Variance26838
MonotonicityStrictly increasing
2023-12-13T00:27:48.554268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
382 1
 
0.2%
376 1
 
0.2%
377 1
 
0.2%
378 1
 
0.2%
379 1
 
0.2%
380 1
 
0.2%
381 1
 
0.2%
383 1
 
0.2%
374 1
 
0.2%
Other values (557) 557
98.2%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
567 1
0.2%
566 1
0.2%
565 1
0.2%
564 1
0.2%
563 1
0.2%
562 1
0.2%
561 1
0.2%
560 1
0.2%
559 1
0.2%
558 1
0.2%

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
유
249 
초
152 
중
90 
고
64 
특수
 
6

Length

Max length2
Median length1
Mean length1.021164
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유
2nd row중
3rd row초
4th row유
5th row중

Common Values

ValueCountFrequency (%)
유 249
43.9%
초 152
26.8%
중 90
 
15.9%
고 64
 
11.3%
특수 6
 
1.1%
기타 6
 
1.1%

Length

2023-12-13T00:27:48.712370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:27:48.823060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유 249
43.9%
초 152
26.8%
중 90
 
15.9%
고 64
 
11.3%
특수 6
 
1.1%
기타 6
 
1.1%

학교명
Text

Distinct565
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-13T00:27:49.041779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.0141093
Min length5

Characters and Unicode

Total characters4544
Distinct characters255
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique563 ?
Unique (%)99.3%

Sample

1st rowBK꿈사랑유치원
2nd row가수원중학교
3rd row가수원초등학교
4th row가수원초등학교병설유치원
5th row갈마중학교
ValueCountFrequency (%)
꿈내리유치원 2
 
0.4%
혜원유치원 2
 
0.4%
푸른유치원 1
 
0.2%
라온유치원 1
 
0.2%
메이킨더유치원 1
 
0.2%
맑은해유치원 1
 
0.2%
마키루키꿈샘유치원 1
 
0.2%
롯데유치원 1
 
0.2%
레드애플유치원 1
 
0.2%
래미안유치원 1
 
0.2%
Other values (555) 555
97.9%
2023-12-13T00:27:49.451176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 427
 
9.4%
교 425
 
9.4%
대 364
 
8.0%
전 331
 
7.3%
등 314
 
6.9%
원 274
 
6.0%
유 262
 
5.8%
치 249
 
5.5%
초 245
 
5.4%
중 105
 
2.3%
Other values (245) 1548
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4538
99.9%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 427
 
9.4%
교 425
 
9.4%
대 364
 
8.0%
전 331
 
7.3%
등 314
 
6.9%
원 274
 
6.0%
유 262
 
5.8%
치 249
 
5.5%
초 245
 
5.4%
중 105
 
2.3%
Other values (241) 1542
34.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4538
99.9%
Common 4
 
0.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 427
 
9.4%
교 425
 
9.4%
대 364
 
8.0%
전 331
 
7.3%
등 314
 
6.9%
원 274
 
6.0%
유 262
 
5.8%
치 249
 
5.5%
초 245
 
5.4%
중 105
 
2.3%
Other values (241) 1542
34.0%
Common
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%
Latin
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4538
99.9%
ASCII 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 427
 
9.4%
교 425
 
9.4%
대 364
 
8.0%
전 331
 
7.3%
등 314
 
6.9%
원 274
 
6.0%
유 262
 
5.8%
치 249
 
5.5%
초 245
 
5.4%
중 105
 
2.3%
Other values (241) 1542
34.0%
ASCII
ValueCountFrequency (%)
) 2
33.3%
( 2
33.3%
K 1
16.7%
B 1
16.7%

주소
Text

Distinct491
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-13T00:27:49.884258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length23.968254
Min length16

Characters and Unicode

Total characters13590
Distinct characters168
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

Unique415 ?
Unique (%)73.2%

Sample

1st row대전광역시 유성구 유성대로155번길 46-2 (교촌동)
2nd row대전광역시 서구 가수원로 26 (가수원동)
3rd row대전광역시 서구 벌곡로 1359 (가수원동)
4th row대전광역시 서구 벌곡로 1359 (가수원동)
5th row대전광역시 서구 계룡로326번길 138 (갈마동)
ValueCountFrequency (%)
대전광역시 567
 
20.3%
서구 169
 
6.1%
유성구 157
 
5.6%
중구 95
 
3.4%
동구 79
 
2.8%
대덕구 67
 
2.4%
관저동 25
 
0.9%
문화동 17
 
0.6%
둔산동 15
 
0.5%
월평동 15
 
0.5%
Other values (655) 1581
56.7%
2023-12-13T00:27:50.455693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2310
 
17.0%
대 778
 
5.7%
동 715
 
5.3%
전 596
 
4.4%
구 584
 
4.3%
역 572
 
4.2%
광 567
 
4.2%
시 567
 
4.2%
( 546
 
4.0%
) 545
 
4.0%
Other values (158) 5810
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8196
60.3%
Space Separator 2310
 
17.0%
Decimal Number 1945
 
14.3%
Open Punctuation 546
 
4.0%
Close Punctuation 545
 
4.0%
Dash Punctuation 48
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 778
 
9.5%
동 715
 
8.7%
전 596
 
7.3%
구 584
 
7.1%
역 572
 
7.0%
광 567
 
6.9%
시 567
 
6.9%
로 542
 
6.6%
길 225
 
2.7%
서 208
 
2.5%
Other values (144) 2842
34.7%
Decimal Number
ValueCountFrequency (%)
1 371
19.1%
2 285
14.7%
3 217
11.2%
5 202
10.4%
6 190
9.8%
4 176
9.0%
0 151
7.8%
7 138
 
7.1%
9 122
 
6.3%
8 93
 
4.8%
Space Separator
ValueCountFrequency (%)
2310
100.0%
Open Punctuation
ValueCountFrequency (%)
( 546
100.0%
Close Punctuation
ValueCountFrequency (%)
) 545
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8196
60.3%
Common 5394
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 778
 
9.5%
동 715
 
8.7%
전 596
 
7.3%
구 584
 
7.1%
역 572
 
7.0%
광 567
 
6.9%
시 567
 
6.9%
로 542
 
6.6%
길 225
 
2.7%
서 208
 
2.5%
Other values (144) 2842
34.7%
Common
ValueCountFrequency (%)
2310
42.8%
( 546
 
10.1%
) 545
 
10.1%
1 371
 
6.9%
2 285
 
5.3%
3 217
 
4.0%
5 202
 
3.7%
6 190
 
3.5%
4 176
 
3.3%
0 151
 
2.8%
Other values (4) 401
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8196
60.3%
ASCII 5394
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2310
42.8%
( 546
 
10.1%
) 545
 
10.1%
1 371
 
6.9%
2 285
 
5.3%
3 217
 
4.0%
5 202
 
3.7%
6 190
 
3.5%
4 176
 
3.3%
0 151
 
2.8%
Other values (4) 401
 
7.4%
Hangul
ValueCountFrequency (%)
대 778
 
9.5%
동 715
 
8.7%
전 596
 
7.3%
구 584
 
7.1%
역 572
 
7.0%
광 567
 
6.9%
시 567
 
6.9%
로 542
 
6.6%
길 225
 
2.7%
서 208
 
2.5%
Other values (144) 2842
34.7%

우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct320
Distinct (%)57.0%
Missing6
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean34707.098
Minimum34005
Maximum35825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-13T00:27:50.608525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34005
5-th percentile34049
Q134209
median34664
Q335221
95-th percentile35382
Maximum35825
Range1820
Interquartile range (IQR)1012

Descriptive statistics

Standard deviation485.66753
Coefficient of variation (CV)0.01399332
Kurtosis-1.4796391
Mean34707.098
Median Absolute Deviation (MAD)475
Skewness0.069305525
Sum19470682
Variance235872.95
MonotonicityNot monotonic
2023-12-13T00:27:50.755632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34680 5
 
0.9%
34008 5
 
0.9%
34195 5
 
0.9%
34404 4
 
0.7%
34522 4
 
0.7%
34432 4
 
0.7%
34609 4
 
0.7%
35359 4
 
0.7%
34021 4
 
0.7%
34225 4
 
0.7%
Other values (310) 518
91.4%
(Missing) 6
 
1.1%
ValueCountFrequency (%)
34005 3
0.5%
34006 2
 
0.4%
34008 5
0.9%
34010 2
 
0.4%
34011 1
 
0.2%
34020 4
0.7%
34021 4
0.7%
34022 1
 
0.2%
34023 1
 
0.2%
34031 3
0.5%
ValueCountFrequency (%)
35825 1
 
0.2%
35426 3
0.5%
35425 1
 
0.2%
35416 4
0.7%
35412 3
0.5%
35409 1
 
0.2%
35406 2
0.4%
35404 3
0.5%
35399 1
 
0.2%
35397 1
 
0.2%

전화번호
Text

Distinct554
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-13T00:27:51.015897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters6804
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

Unique541 ?
Unique (%)95.4%

Sample

1st row042-542-2537
2nd row042-541-0145
3rd row042-541-1334
4th row042-542-3516
5th row042-714-2225
ValueCountFrequency (%)
042-285-8232 2
 
0.4%
042-934-8120 2
 
0.4%
042-621-9041 2
 
0.4%
042-820-5200 2
 
0.4%
042-630-5901 2
 
0.4%
042-285-7221 2
 
0.4%
042-824-2236 2
 
0.4%
042-585-4611 2
 
0.4%
042-822-2192 2
 
0.4%
042-627-9780 2
 
0.4%
Other values (544) 547
96.5%
2023-12-13T00:27:51.387002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1136
16.7%
- 1134
16.7%
2 1108
16.3%
4 904
13.3%
5 458
6.7%
8 433
 
6.4%
3 426
 
6.3%
6 415
 
6.1%
1 317
 
4.7%
7 280
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5670
83.3%
Dash Punctuation 1134
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1136
20.0%
2 1108
19.5%
4 904
15.9%
5 458
8.1%
8 433
 
7.6%
3 426
 
7.5%
6 415
 
7.3%
1 317
 
5.6%
7 280
 
4.9%
9 193
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 1134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6804
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1136
16.7%
- 1134
16.7%
2 1108
16.3%
4 904
13.3%
5 458
6.7%
8 433
 
6.4%
3 426
 
6.3%
6 415
 
6.1%
1 317
 
4.7%
7 280
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1136
16.7%
- 1134
16.7%
2 1108
16.3%
4 904
13.3%
5 458
6.7%
8 433
 
6.4%
3 426
 
6.3%
6 415
 
6.1%
1 317
 
4.7%
7 280
 
4.1%

팩스번호
Text

MISSING 

Distinct313
Distinct (%)98.4%
Missing249
Missing (%)43.9%
Memory size4.6 KiB
2023-12-13T00:27:51.633547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3816
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

Unique308 ?
Unique (%)96.9%

Sample

1st row042-541-6623
2nd row042-541-6415
3rd row042-714-2220
4th row042-627-5328
5th row042-935-6599
ValueCountFrequency (%)
042-825-3446 2
 
0.6%
042-537-4200 2
 
0.6%
042-220-6130 2
 
0.6%
042-826-6878 2
 
0.6%
042-633-8846 2
 
0.6%
042-349-7709 1
 
0.3%
042-620-3838 1
 
0.3%
042-932-1633 1
 
0.3%
042-286-0834 1
 
0.3%
042-286-0269 1
 
0.3%
Other values (303) 303
95.3%
2023-12-13T00:27:52.047634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 636
16.7%
2 609
16.0%
4 544
14.3%
0 503
13.2%
8 274
7.2%
5 268
7.0%
3 247
 
6.5%
6 234
 
6.1%
7 181
 
4.7%
9 176
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3180
83.3%
Dash Punctuation 636
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 609
19.2%
4 544
17.1%
0 503
15.8%
8 274
8.6%
5 268
8.4%
3 247
7.8%
6 234
 
7.4%
7 181
 
5.7%
9 176
 
5.5%
1 144
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 636
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3816
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 636
16.7%
2 609
16.0%
4 544
14.3%
0 503
13.2%
8 274
7.2%
5 268
7.0%
3 247
 
6.5%
6 234
 
6.1%
7 181
 
4.7%
9 176
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3816
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 636
16.7%
2 609
16.0%
4 544
14.3%
0 503
13.2%
8 274
7.2%
5 268
7.0%
3 247
 
6.5%
6 234
 
6.1%
7 181
 
4.7%
9 176
 
4.6%

관할교육청
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
서부교육청
285 
동부교육청
207 
시교육청
75 

Length

Max length5
Median length5
Mean length4.8677249
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서부교육청 285
50.3%
동부교육청 207
36.5%
시교육청 75
 
13.2%

Length

2023-12-13T00:27:52.220688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:27:52.340260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부교육청 285
50.3%
동부교육청 207
36.5%
시교육청 75
 
13.2%

공/사립
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
공립
370 
사립
197 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사립
2nd row공립
3rd row공립
4th row공립
5th row공립

Common Values

ValueCountFrequency (%)
공립 370
65.3%
사립 197
34.7%

Length

2023-12-13T00:27:52.457965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:27:52.576239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 370
65.3%
사립 197
34.7%

홈페이지
Text

MISSING 

Distinct326
Distinct (%)93.1%
Missing217
Missing (%)38.3%
Memory size4.6 KiB
2023-12-13T00:27:52.822434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length24.034286
Min length14

Characters and Unicode

Total characters8412
Distinct characters35
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)86.3%

Sample

1st rowhttp://gswms.djsch.kr
2nd rowhttp://gasuwones.djsch.kr
3rd rowhttp://galmams.djsch.kr
4th rowhttp://krdhs.djsch.kr
5th rowhttp://gjes.djsch.kr
ValueCountFrequency (%)
http://stj-yongjeonges.djsch.kr 2
 
0.6%
http://secheones.djsch.kr 2
 
0.6%
http://saemiraees.djsch.kr 2
 
0.6%
http://saeiles.djsch.kr 2
 
0.6%
https://sesory.djsch.kr/main.do 2
 
0.6%
http://sanheunges.djsch.kr 2
 
0.6%
http://deoksonges.djsch.kr 2
 
0.6%
http://djdmes.djsch.kr 2
 
0.6%
http://hjes.djsch.kr 2
 
0.6%
http://sdjes.djsch.kr 2
 
0.6%
Other values (316) 330
94.3%
2023-12-13T00:27:53.289401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 829
 
9.9%
h 828
 
9.8%
t 725
 
8.6%
/ 716
 
8.5%
. 714
 
8.5%
d 531
 
6.3%
j 480
 
5.7%
k 397
 
4.7%
c 387
 
4.6%
r 378
 
4.5%
Other values (25) 2427
28.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6605
78.5%
Other Punctuation 1780
 
21.2%
Decimal Number 16
 
0.2%
Dash Punctuation 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 829
12.6%
h 828
12.5%
t 725
11.0%
d 531
 
8.0%
j 480
 
7.3%
k 397
 
6.0%
c 387
 
5.9%
r 378
 
5.7%
p 366
 
5.5%
e 325
 
4.9%
Other values (14) 1359
20.6%
Decimal Number
ValueCountFrequency (%)
2 4
25.0%
3 3
18.8%
6 3
18.8%
5 2
12.5%
4 2
12.5%
0 1
 
6.2%
1 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 716
40.2%
. 714
40.1%
: 350
19.7%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6605
78.5%
Common 1807
 
21.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 829
12.6%
h 828
12.5%
t 725
11.0%
d 531
 
8.0%
j 480
 
7.3%
k 397
 
6.0%
c 387
 
5.9%
r 378
 
5.7%
p 366
 
5.5%
e 325
 
4.9%
Other values (14) 1359
20.6%
Common
ValueCountFrequency (%)
/ 716
39.6%
. 714
39.5%
: 350
19.4%
- 11
 
0.6%
2 4
 
0.2%
3 3
 
0.2%
6 3
 
0.2%
5 2
 
0.1%
4 2
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 829
 
9.9%
h 828
 
9.8%
t 725
 
8.6%
/ 716
 
8.5%
. 714
 
8.5%
d 531
 
6.3%
j 480
 
5.7%
k 397
 
4.7%
c 387
 
4.6%
r 378
 
4.5%
Other values (25) 2427
28.9%

Interactions

2023-12-13T00:27:47.612902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:27:47.388963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:27:47.726660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:27:47.482038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:27:53.442114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분우편번호관할교육청공/사립
번호1.0000.3350.2660.1430.705
구분0.3351.0000.0000.9390.695
우편번호0.2660.0001.0000.8840.047
관할교육청0.1430.9390.8841.0000.039
공/사립0.7050.6950.0470.0391.000
2023-12-13T00:27:53.587903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분관할교육청공/사립
구분1.0000.6990.509
관할교육청0.6991.0000.065
공/사립0.5090.0651.000
2023-12-13T00:27:53.700567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호구분관할교육청공/사립
번호1.000-0.1510.1820.0850.546
우편번호-0.1511.0000.0000.6100.052
구분0.1820.0001.0000.6990.509
관할교육청0.0850.6100.6991.0000.065
공/사립0.5460.0520.5090.0651.000

Missing values

2023-12-13T00:27:47.892921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:27:48.042508image/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.
2023-12-13T00:27:48.186335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호구분학교명주소우편번호전화번호팩스번호관할교육청공/사립홈페이지
01유BK꿈사랑유치원대전광역시 유성구 유성대로155번길 46-2 (교촌동)34224042-542-2537<NA>서부교육청사립<NA>
12중가수원중학교대전광역시 서구 가수원로 26 (가수원동)35389042-541-0145042-541-6623서부교육청공립http://gswms.djsch.kr
23초가수원초등학교대전광역시 서구 벌곡로 1359 (가수원동)35387042-541-1334042-541-6415서부교육청공립http://gasuwones.djsch.kr
34유가수원초등학교병설유치원대전광역시 서구 벌곡로 1359 (가수원동)35387042-542-3516<NA>서부교육청공립<NA>
45중갈마중학교대전광역시 서구 계룡로326번길 138 (갈마동)35277042-714-2225042-714-2220서부교육청공립http://galmams.djsch.kr
56유건양대학교부속유치원대전광역시 서구 관저동로 158 (관저동)35365042-541-1123<NA>서부교육청사립<NA>
67유경성유치원대전광역시 서구 대덕대로 150 (갈마동)35265042-522-6324<NA>서부교육청사립<NA>
78고계룡디지텍고등학교대전광역시 동구 소랑길 64 (삼성동)34613042-630-6000042-627-5328시교육청사립http://krdhs.djsch.kr
89초구즉초등학교대전광역시 유성구 구룡달전로 34 (봉산동)34006042-935-4005042-935-6599서부교육청공립http://gjes.djsch.kr
910유구즉초등학교병설유치원대전광역시 유성구 구룡달전로 34 (봉산동)34006042-935-6009<NA>서부교육청공립<NA>
번호구분학교명주소우편번호전화번호팩스번호관할교육청공/사립홈페이지
557558고호수돈여자고등학교대전광역시 중구 선화로 50 (선화동)34859042-221-2612042-252-0397시교육청사립http://holstonhs.djsch.kr
558559중호수돈여자중학교대전광역시 중구 선화로 50 (선화동)34859042-221-1676042-221-1677동부교육청사립http://holstonms.djsch.kr
559560유호수유치원대전광역시 중구 동서대로1365번길 13 (목동)34825042-257-6710<NA>동부교육청사립<NA>
560561유홍도유치원대전광역시 동구 홍도로 39번길 37 (홍도동)34554042-636-6745<NA>동부교육청사립<NA>
561562유화랑유치원대전광역시 유성구 자운로97번길 433 (추목동)34059042-863-0370<NA>서부교육청사립<NA>
562563중회덕중학교대전광역시 대덕구 신탄진로218번길 22 (와동)34346042-621-3072042-621-3071동부교육청공립http://hoedeokms.djsch.kr
563564초회덕초등학교대전광역시 대덕구 대전로 1350 (읍내동)34360042-632-9155042-632-9159동부교육청공립http://hoedeokes.djsch.kr
564565유회덕초등학교병설유치원대전광역시 대덕구 대전로 1350 (읍내동)34360042-632-7542<NA>동부교육청공립http://hoedeokes.djsch.kr
565566초흥도초등학교대전광역시 유성구 원신흥남로 20 (원신흥동)34195042-822-5083042-823-8945서부교육청공립http://heungdoes.djsch.kr
566567유흥도초등학교병설유치원대전광역시 유성구 원신흥남로 20 (원신흥동)34195042-822-5062<NA>서부교육청공립http://heungdoes.djsch.kr