Overview

Dataset statistics

Number of variables3
Number of observations148
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory24.9 B

Variable types

Text3

Dataset

Description영천교육지원청 내 학원 및 교습소 현황
Author경상북도교육청 경상북도영천교육지원청
URLhttps://www.data.go.kr/data/3069615/fileData.do

Alerts

학원명(교습소명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:34:16.163617
Analysis finished2023-12-12 04:34:16.639986
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학원명(교습소명)
Text

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T13:34:16.832371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length8.4256757
Min length4

Characters and Unicode

Total characters1247
Distinct characters274
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)100.0%

Sample

1st row천재입시학원
2nd row규장각독서실
3rd row벧엘피아노학원
4th row아카데미학원
5th row엔젤음악영수학원
ValueCountFrequency (%)
천재입시학원 1
 
0.6%
숲에서웃는아이들미술교습소 1
 
0.6%
규장각독서실 1
 
0.6%
팝걸예쁜글씨교습소 1
 
0.6%
별그리는미술교습소 1
 
0.6%
라라피아노교습소 1
 
0.6%
예뜰미술교습소 1
 
0.6%
제이뮤직아카데미음악교습소 1
 
0.6%
통문장영어제시카영어교습소 1
 
0.6%
청음피아노교습소 1
 
0.6%
Other values (145) 145
93.5%
2023-12-12T13:34:17.338133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 112
 
9.0%
원 90
 
7.2%
습 61
 
4.9%
소 61
 
4.9%
교 60
 
4.8%
아 40
 
3.2%
영 39
 
3.1%
이 31
 
2.5%
수 29
 
2.3%
어 28
 
2.2%
Other values (264) 696
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1159
92.9%
Uppercase Letter 46
 
3.7%
Lowercase Letter 25
 
2.0%
Space Separator 7
 
0.6%
Dash Punctuation 3
 
0.2%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 112
 
9.7%
원 90
 
7.8%
습 61
 
5.3%
소 61
 
5.3%
교 60
 
5.2%
아 40
 
3.5%
영 39
 
3.4%
이 31
 
2.7%
수 29
 
2.5%
어 28
 
2.4%
Other values (228) 608
52.5%
Uppercase Letter
ValueCountFrequency (%)
S 5
10.9%
E 5
10.9%
M 4
 
8.7%
Y 4
 
8.7%
B 4
 
8.7%
K 3
 
6.5%
N 3
 
6.5%
G 3
 
6.5%
A 2
 
4.3%
C 2
 
4.3%
Other values (8) 11
23.9%
Lowercase Letter
ValueCountFrequency (%)
n 5
20.0%
e 4
16.0%
g 3
12.0%
o 3
12.0%
a 3
12.0%
p 2
 
8.0%
l 1
 
4.0%
m 1
 
4.0%
d 1
 
4.0%
k 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
* 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1159
92.9%
Latin 71
 
5.7%
Common 17
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 112
 
9.7%
원 90
 
7.8%
습 61
 
5.3%
소 61
 
5.3%
교 60
 
5.2%
아 40
 
3.5%
영 39
 
3.4%
이 31
 
2.7%
수 29
 
2.5%
어 28
 
2.4%
Other values (228) 608
52.5%
Latin
ValueCountFrequency (%)
n 5
 
7.0%
S 5
 
7.0%
E 5
 
7.0%
e 4
 
5.6%
M 4
 
5.6%
Y 4
 
5.6%
B 4
 
5.6%
g 3
 
4.2%
o 3
 
4.2%
K 3
 
4.2%
Other values (19) 31
43.7%
Common
ValueCountFrequency (%)
7
41.2%
- 3
17.6%
) 2
 
11.8%
( 2
 
11.8%
* 1
 
5.9%
& 1
 
5.9%
1 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1159
92.9%
ASCII 88
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 112
 
9.7%
원 90
 
7.8%
습 61
 
5.3%
소 61
 
5.3%
교 60
 
5.2%
아 40
 
3.5%
영 39
 
3.4%
이 31
 
2.7%
수 29
 
2.5%
어 28
 
2.4%
Other values (228) 608
52.5%
ASCII
ValueCountFrequency (%)
7
 
8.0%
n 5
 
5.7%
S 5
 
5.7%
E 5
 
5.7%
e 4
 
4.5%
M 4
 
4.5%
Y 4
 
4.5%
B 4
 
4.5%
g 3
 
3.4%
o 3
 
3.4%
Other values (26) 44
50.0%

주소
Text

Distinct141
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T13:34:17.729287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length27.216216
Min length18

Characters and Unicode

Total characters4028
Distinct characters119
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)90.5%

Sample

1st row경상북도 영천시 망정1길 146 (망정동, 유호빌리지)
2nd row경상북도 영천시 호국로 36 (야사동)
3rd row경상북도 영천시 신녕면 장수로 1674 (신녕면)
4th row경상북도 영천시 창신길 140-11 , 2층 202호 (망정동)
5th row경상북도 영천시 청통면 강둑길 7-2 (청통면)
ValueCountFrequency (%)
경상북도 148
 
16.0%
영천시 148
 
16.0%
67
 
7.2%
야사동 42
 
4.5%
망정동 36
 
3.9%
호국로 27
 
2.9%
2층 26
 
2.8%
문외동 21
 
2.3%
망정1길 16
 
1.7%
문내동 15
 
1.6%
Other values (192) 379
41.0%
2023-12-12T13:34:18.294641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
777
19.3%
동 178
 
4.4%
상 176
 
4.4%
영 158
 
3.9%
천 158
 
3.9%
1 153
 
3.8%
북 151
 
3.7%
시 150
 
3.7%
경 148
 
3.7%
도 148
 
3.7%
Other values (109) 1831
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2267
56.3%
Space Separator 777
 
19.3%
Decimal Number 589
 
14.6%
Close Punctuation 143
 
3.6%
Open Punctuation 143
 
3.6%
Other Punctuation 79
 
2.0%
Dash Punctuation 27
 
0.7%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 178
 
7.9%
상 176
 
7.8%
영 158
 
7.0%
천 158
 
7.0%
북 151
 
6.7%
시 150
 
6.6%
경 148
 
6.5%
도 148
 
6.5%
길 91
 
4.0%
호 77
 
3.4%
Other values (92) 832
36.7%
Decimal Number
ValueCountFrequency (%)
1 153
26.0%
2 103
17.5%
0 70
11.9%
3 62
10.5%
4 56
 
9.5%
5 40
 
6.8%
7 37
 
6.3%
6 35
 
5.9%
8 22
 
3.7%
9 11
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
777
100.0%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Other Punctuation
ValueCountFrequency (%)
, 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2267
56.3%
Common 1758
43.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 178
 
7.9%
상 176
 
7.8%
영 158
 
7.0%
천 158
 
7.0%
북 151
 
6.7%
시 150
 
6.6%
경 148
 
6.5%
도 148
 
6.5%
길 91
 
4.0%
호 77
 
3.4%
Other values (92) 832
36.7%
Common
ValueCountFrequency (%)
777
44.2%
1 153
 
8.7%
) 143
 
8.1%
( 143
 
8.1%
2 103
 
5.9%
, 79
 
4.5%
0 70
 
4.0%
3 62
 
3.5%
4 56
 
3.2%
5 40
 
2.3%
Other values (5) 132
 
7.5%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2267
56.3%
ASCII 1761
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
777
44.1%
1 153
 
8.7%
) 143
 
8.1%
( 143
 
8.1%
2 103
 
5.8%
, 79
 
4.5%
0 70
 
4.0%
3 62
 
3.5%
4 56
 
3.2%
5 40
 
2.3%
Other values (7) 135
 
7.7%
Hangul
ValueCountFrequency (%)
동 178
 
7.9%
상 176
 
7.8%
영 158
 
7.0%
천 158
 
7.0%
북 151
 
6.7%
시 150
 
6.6%
경 148
 
6.5%
도 148
 
6.5%
길 91
 
4.0%
호 77
 
3.4%
Other values (92) 832
36.7%

설립운영자
Text

Distinct140
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T13:34:18.793715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.2905405
Min length2

Characters and Unicode

Total characters487
Distinct characters143
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)89.9%

Sample

1st row윤현정
2nd row김경순
3rd row하경옥
4th row구순재
5th row서향숙
ValueCountFrequency (%)
구순재 3
 
2.0%
엄기해 2
 
1.4%
김현정 2
 
1.4%
배진영 2
 
1.4%
곽기봉 2
 
1.4%
김성애 2
 
1.4%
손희남 2
 
1.4%
최지영 1
 
0.7%
임미 1
 
0.7%
노말남 1
 
0.7%
Other values (130) 130
87.8%
2023-12-12T13:34:19.429290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 31
 
6.4%
정 25
 
5.1%
이 22
 
4.5%
경 18
 
3.7%
희 13
 
2.7%
영 13
 
2.7%
성 11
 
2.3%
은 10
 
2.1%
순 10
 
2.1%
진 9
 
1.8%
Other values (133) 325
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 476
97.7%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 31
 
6.5%
정 25
 
5.3%
이 22
 
4.6%
경 18
 
3.8%
희 13
 
2.7%
영 13
 
2.7%
성 11
 
2.3%
은 10
 
2.1%
순 10
 
2.1%
진 9
 
1.9%
Other values (129) 314
66.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
: 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 476
97.7%
Common 11
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 31
 
6.5%
정 25
 
5.3%
이 22
 
4.6%
경 18
 
3.8%
희 13
 
2.7%
영 13
 
2.7%
성 11
 
2.3%
은 10
 
2.1%
순 10
 
2.1%
진 9
 
1.9%
Other values (129) 314
66.0%
Common
ValueCountFrequency (%)
) 4
36.4%
( 4
36.4%
, 2
18.2%
: 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 476
97.7%
ASCII 11
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 31
 
6.5%
정 25
 
5.3%
이 22
 
4.6%
경 18
 
3.8%
희 13
 
2.7%
영 13
 
2.7%
성 11
 
2.3%
은 10
 
2.1%
순 10
 
2.1%
진 9
 
1.9%
Other values (129) 314
66.0%
ASCII
ValueCountFrequency (%)
) 4
36.4%
( 4
36.4%
, 2
18.2%
: 1
 
9.1%

Missing values

2023-12-12T13:34:16.499806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:34:16.602733image/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

학원명(교습소명)주소설립운영자
0천재입시학원경상북도 영천시 망정1길 146 (망정동, 유호빌리지)윤현정
1규장각독서실경상북도 영천시 호국로 36 (야사동)김경순
2벧엘피아노학원경상북도 영천시 신녕면 장수로 1674 (신녕면)하경옥
3아카데미학원경상북도 영천시 창신길 140-11 , 2층 202호 (망정동)구순재
4엔젤음악영수학원경상북도 영천시 청통면 강둑길 7-2 (청통면)서향숙
5에이원스터디학원경상북도 영천시 상아탑길 9 (화룡동)황보정민
6비트컴퓨터학원경상북도 영천시 호국로 38-1 (야사동)이장우
7세종컴퓨터학원경상북도 영천시 호국로 27 (야사동)안부환
8시매쓰학원경상북도 영천시 호국로 13 (문외동)김기호
9마이홈독서실경상북도 영천시 영천고1길 75 (야사동)이정숙
학원명(교습소명)주소설립운영자
138한빛주산교습소경상북도 영천시 미륵4길 7 , 황금상가 303호 (망정동)엄기해
139카네기피아노교습소경상북도 영천시 동부로 15 , 우방상가 106동 102호 (야사동)권수연
140아이비피아노교습소경상북도 영천시 중앙동1길 97 (문외동)안정숙
141송이피아노교습소경상북도 영천시 창신길 140-11 , 201호 (망정동)구순재
142소리엘음악교습소경상북도 영천시 모란1길 16 , 청구타운 상가 2층 2호 (청구타운)전영희
143대원수학교습소경상북도 영천시 망정2길 7-9 , 청호상가 102호 (망정동, 청호아파트)이혜진
144피아노포르테피아노교습소경상북도 영천시 야사시장길 36 (야사동)임례분
145니나피아노교습소경상북도 영천시 호국로 82 (야사동)손희남
146스카이수학교습소경상북도 영천시 상록1길 24 (야사동)배복희
147띵호아중국어교습소경상북도 영천시 모란4길 16 (야사동)시진예