Overview

Dataset statistics

Number of variables4
Number of observations96
Missing cells81
Missing cells (%)21.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory33.4 B

Variable types

Categorical1
Text3

Dataset

Description강원특별자치도교육청 원주시 지역의 초등학교 통학구역 정보입니다. 행정동명, 관할학교명, 통학구역(지번) 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15037593/fileData.do

Alerts

비고 has 81 (84.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:18:36.386562
Analysis finished2023-12-12 06:18:37.103914
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동명
Categorical

Distinct31
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size900.0 B
단구동
7 
반곡관설동
7 
무실동
7 
문막읍
 
6
호저면
 
5
Other values (26)
64 

Length

Max length9
Median length3
Mean length3.53125
Min length3

Unique

Unique8 ?
Unique (%)8.3%

Sample

1st row개운동
2nd row개운동
3rd row개운동
4th row단계동
5th row단계동

Common Values

ValueCountFrequency (%)
단구동 7
 
7.3%
반곡관설동 7
 
7.3%
무실동 7
 
7.3%
문막읍 6
 
6.2%
호저면 5
 
5.2%
판부면 5
 
5.2%
지정면 5
 
5.2%
중앙동 5
 
5.2%
소초면 5
 
5.2%
태장2동 3
 
3.1%
Other values (21) 41
42.7%

Length

2023-12-12T15:18:37.200982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단구동 7
 
6.9%
무실동 7
 
6.9%
반곡관설동 7
 
6.9%
문막읍 6
 
5.9%
호저면 5
 
4.9%
판부면 5
 
4.9%
지정면 5
 
4.9%
중앙동 5
 
4.9%
소초면 5
 
4.9%
행구동 3
 
2.9%
Other values (26) 47
46.1%

관할학교명
Text

Distinct50
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-12T15:18:37.488034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0729167
Min length3

Characters and Unicode

Total characters295
Distinct characters68
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

Unique20 ?
Unique (%)20.8%

Sample

1st row명륜초
2nd row교동초
3rd row구곡초
4th row단계초
5th row북원초
ValueCountFrequency (%)
원주초 5
 
5.2%
서원주초 4
 
4.2%
귀래초 4
 
4.2%
교동초 4
 
4.2%
단계초 4
 
4.2%
중앙초 3
 
3.1%
황둔초 3
 
3.1%
명륜초 3
 
3.1%
만종초 3
 
3.1%
북원초 3
 
3.1%
Other values (40) 60
62.5%
2023-12-12T15:18:37.920199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
초 97
32.9%
원 16
 
5.4%
주 11
 
3.7%
단 8
 
2.7%
산 7
 
2.4%
둔 5
 
1.7%
계 5
 
1.7%
서 5
 
1.7%
교 5
 
1.7%
동 5
 
1.7%
Other values (58) 131
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 97
32.9%
원 16
 
5.4%
주 11
 
3.7%
단 8
 
2.7%
산 7
 
2.4%
둔 5
 
1.7%
계 5
 
1.7%
서 5
 
1.7%
교 5
 
1.7%
동 5
 
1.7%
Other values (58) 131
44.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 97
32.9%
원 16
 
5.4%
주 11
 
3.7%
단 8
 
2.7%
산 7
 
2.4%
둔 5
 
1.7%
계 5
 
1.7%
서 5
 
1.7%
교 5
 
1.7%
동 5
 
1.7%
Other values (58) 131
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
초 97
32.9%
원 16
 
5.4%
주 11
 
3.7%
단 8
 
2.7%
산 7
 
2.4%
둔 5
 
1.7%
계 5
 
1.7%
서 5
 
1.7%
교 5
 
1.7%
동 5
 
1.7%
Other values (58) 131
44.4%

통학구역
Text

Distinct95
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-12T15:18:38.172413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length36.5
Mean length19.583333
Min length2

Characters and Unicode

Total characters1880
Distinct characters128
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)97.9%

Sample

1st row1통, 3통, 4통2～5반, 6～14통, 16통, 18통～19통, 22통, 23통
2nd row2통, 4통1반, 5통1~2반, 15통, 17통, 20~21통
3rd row5통 3반~5반
4th row18통, 21～28통, 32~33통
5th row1~5통
ValueCountFrequency (%)
1통 7
 
2.3%
16통 3
 
1.0%
5통 3
 
1.0%
4통 2
 
0.6%
1~3반 2
 
0.6%
3통 2
 
0.6%
2반 2
 
0.6%
17통 2
 
0.6%
13통 2
 
0.6%
6~8통 2
 
0.6%
Other values (268) 282
91.3%
2023-12-12T15:18:38.677806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
 
11.6%
, 190
 
10.1%
1 189
 
10.1%
통 178
 
9.5%
2 121
 
6.4%
리 106
 
5.6%
3 91
 
4.8%
～ 85
 
4.5%
~ 71
 
3.8%
4 67
 
3.6%
Other values (118) 563
29.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 641
34.1%
Other Letter 632
33.6%
Space Separator 219
 
11.6%
Other Punctuation 190
 
10.1%
Math Symbol 156
 
8.3%
Close Punctuation 21
 
1.1%
Open Punctuation 21
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
통 178
28.2%
리 106
16.8%
반 62
 
9.8%
곡 14
 
2.2%
동 13
 
2.1%
암 9
 
1.4%
촌 9
 
1.4%
산 8
 
1.3%
신 8
 
1.3%
장 7
 
1.1%
Other values (102) 218
34.5%
Decimal Number
ValueCountFrequency (%)
1 189
29.5%
2 121
18.9%
3 91
14.2%
4 67
 
10.5%
5 59
 
9.2%
6 32
 
5.0%
8 22
 
3.4%
9 22
 
3.4%
7 20
 
3.1%
0 18
 
2.8%
Math Symbol
ValueCountFrequency (%)
～ 85
54.5%
~ 71
45.5%
Space Separator
ValueCountFrequency (%)
219
100.0%
Other Punctuation
ValueCountFrequency (%)
, 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1248
66.4%
Hangul 632
33.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
통 178
28.2%
리 106
16.8%
반 62
 
9.8%
곡 14
 
2.2%
동 13
 
2.1%
암 9
 
1.4%
촌 9
 
1.4%
산 8
 
1.3%
신 8
 
1.3%
장 7
 
1.1%
Other values (102) 218
34.5%
Common
ValueCountFrequency (%)
219
17.5%
, 190
15.2%
1 189
15.1%
2 121
9.7%
3 91
7.3%
～ 85
 
6.8%
~ 71
 
5.7%
4 67
 
5.4%
5 59
 
4.7%
6 32
 
2.6%
Other values (6) 124
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1163
61.9%
Hangul 632
33.6%
None 85
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
18.8%
, 190
16.3%
1 189
16.3%
2 121
10.4%
3 91
7.8%
~ 71
 
6.1%
4 67
 
5.8%
5 59
 
5.1%
6 32
 
2.8%
8 22
 
1.9%
Other values (5) 102
8.8%
Hangul
ValueCountFrequency (%)
통 178
28.2%
리 106
16.8%
반 62
 
9.8%
곡 14
 
2.2%
동 13
 
2.1%
암 9
 
1.4%
촌 9
 
1.4%
산 8
 
1.3%
신 8
 
1.3%
장 7
 
1.1%
Other values (102) 218
34.5%
None
ValueCountFrequency (%)
～ 85
100.0%

비고
Text

MISSING 

Distinct14
Distinct (%)93.3%
Missing81
Missing (%)84.4%
Memory size900.0 B
2023-12-12T15:18:38.920175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length33
Mean length30.133333
Min length16

Characters and Unicode

Total characters452
Distinct characters70
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

Unique13 ?
Unique (%)86.7%

Sample

1st row개운동 5통2반 구곡초 공동학구
2nd row단계동 18통 단계초 공동학구
3rd row반곡관설동 3통1반 버들초 공동학구, 반곡관설동 3통2반 관설초 공동학구
4th row단구동 25통3~4반(노빌리티 타워) 구곡초 공동학구
5th row단구동 25통3~4반, 50통4반(노빌리티 타워) 교동초 공동학구
ValueCountFrequency (%)
공동학구 18
20.0%
반곡관설동 7
 
7.8%
무실동 6
 
6.7%
1통 3
 
3.3%
버들초 2
 
2.2%
단구초 2
 
2.2%
1차 2
 
2.2%
세영리첼 2
 
2.2%
29통~30통(부영 2
 
2.2%
19통(코오롱 2
 
2.2%
Other values (36) 44
48.9%
2023-12-12T15:18:39.285659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
16.8%
동 38
 
8.4%
구 25
 
5.5%
통 23
 
5.1%
반 21
 
4.6%
공 19
 
4.2%
학 19
 
4.2%
초 19
 
4.2%
곡 13
 
2.9%
1 13
 
2.9%
Other values (60) 186
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
64.4%
Space Separator 76
 
16.8%
Decimal Number 55
 
12.2%
Close Punctuation 8
 
1.8%
Open Punctuation 8
 
1.8%
Other Punctuation 8
 
1.8%
Math Symbol 6
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 38
 
13.1%
구 25
 
8.6%
통 23
 
7.9%
반 21
 
7.2%
공 19
 
6.5%
학 19
 
6.5%
초 19
 
6.5%
곡 13
 
4.5%
실 8
 
2.7%
설 8
 
2.7%
Other values (46) 98
33.7%
Decimal Number
ValueCountFrequency (%)
1 13
23.6%
3 10
18.2%
2 10
18.2%
5 6
10.9%
4 6
10.9%
9 4
 
7.3%
0 4
 
7.3%
6 1
 
1.8%
8 1
 
1.8%
Space Separator
ValueCountFrequency (%)
76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
64.4%
Common 161
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 38
 
13.1%
구 25
 
8.6%
통 23
 
7.9%
반 21
 
7.2%
공 19
 
6.5%
학 19
 
6.5%
초 19
 
6.5%
곡 13
 
4.5%
실 8
 
2.7%
설 8
 
2.7%
Other values (46) 98
33.7%
Common
ValueCountFrequency (%)
76
47.2%
1 13
 
8.1%
3 10
 
6.2%
2 10
 
6.2%
) 8
 
5.0%
( 8
 
5.0%
, 8
 
5.0%
5 6
 
3.7%
4 6
 
3.7%
~ 6
 
3.7%
Other values (4) 10
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
64.4%
ASCII 161
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
47.2%
1 13
 
8.1%
3 10
 
6.2%
2 10
 
6.2%
) 8
 
5.0%
( 8
 
5.0%
, 8
 
5.0%
5 6
 
3.7%
4 6
 
3.7%
~ 6
 
3.7%
Other values (4) 10
 
6.2%
Hangul
ValueCountFrequency (%)
동 38
 
13.1%
구 25
 
8.6%
통 23
 
7.9%
반 21
 
7.2%
공 19
 
6.5%
학 19
 
6.5%
초 19
 
6.5%
곡 13
 
4.5%
실 8
 
2.7%
설 8
 
2.7%
Other values (46) 98
33.7%

Correlations

2023-12-12T15:18:39.424819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동명관할학교명통학구역비고
행정동명1.0000.0000.9911.000
관할학교명0.0001.0000.9970.927
통학구역0.9910.9971.0001.000
비고1.0000.9271.0001.000

Missing values

2023-12-12T15:18:36.926370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:18:37.060606image/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

행정동명관할학교명통학구역비고
0개운동명륜초1통, 3통, 4통2～5반, 6～14통, 16통, 18통～19통, 22통, 23통<NA>
1개운동교동초2통, 4통1반, 5통1~2반, 15통, 17통, 20~21통개운동 5통2반 구곡초 공동학구
2개운동구곡초5통 3반~5반<NA>
3단계동단계초18통, 21～28통, 32~33통<NA>
4단계동북원초1~5통<NA>
5단계동평원초6～20통, 29통~31통, 34통~43통단계동 18통 단계초 공동학구
6단구동단구초1～12통, 16～17통, 48통4반, 55통반곡관설동 3통1반 버들초 공동학구, 반곡관설동 3통2반 관설초 공동학구
7단구동명륜초13~15통<NA>
8단구동교동초25통 3~4반단구동 25통3~4반(노빌리티 타워) 구곡초 공동학구
9단구동남원주초36～45통, 51통, 60~61통<NA>
행정동명관할학교명통학구역비고
86호저면신평초무장1리<NA>
87흥업면만종초사제3리(건너광터, 요동)<NA>
88흥업면흥업초흥업1~7리, 대안1～3리, 사제1～2리, 사제4리<NA>
89흥업면매지초매지1~5리<NA>
90여주군 점동면부론초삼합리<NA>
91충주시 소태면귀래초주치리(하남, 외촌)<NA>
92횡성군 서원면산현초옥계1리3반<NA>
93제천시 봉양읍신림초학산리(7～8반)<NA>
94제천시 송학면황둔초오미리<NA>
95영월군 무릉도원면황둔초두산리, 운학리, 도원1리 3반<NA>