Overview

Dataset statistics

Number of variables3
Number of observations88
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory25.5 B

Variable types

Text3

Dataset

Description경상북도영천교육지원청 내 학원 및 교습소 현황에 대한 데이터로 학원명, 주소, 설립운영자 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15061677/fileData.do

Alerts

학원명(교습소명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:48:52.563386
Analysis finished2023-12-12 09:48:53.387786
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학원명(교습소명)
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-12T18:48:53.572928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length8.8977273
Min length4

Characters and Unicode

Total characters783
Distinct characters216
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)100.0%

Sample

1st row규장각독서실
2nd row아카데미학원
3rd row엔젤음악영수학원
4th row에이원스터디학원
5th row비트컴퓨터학원
ValueCountFrequency (%)
규장각독서실 1
 
1.1%
뉴욕잉글리쉬(newyork 1
 
1.1%
주식회사세종학원 1
 
1.1%
음악정원음악학원 1
 
1.1%
플레이음악학원 1
 
1.1%
원색아이네트학원 1
 
1.1%
영천제일중장비학원 1
 
1.1%
필그림미술학원 1
 
1.1%
리우목공학원 1
 
1.1%
영천중장비운전학원 1
 
1.1%
Other values (83) 83
89.2%
2023-12-12T18:48:53.985568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 96
 
12.3%
원 89
 
11.4%
영 26
 
3.3%
이 22
 
2.8%
스 20
 
2.6%
아 18
 
2.3%
미 15
 
1.9%
천 13
 
1.7%
술 12
 
1.5%
수 12
 
1.5%
Other values (206) 460
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 696
88.9%
Uppercase Letter 48
 
6.1%
Lowercase Letter 15
 
1.9%
Close Punctuation 9
 
1.1%
Open Punctuation 9
 
1.1%
Space Separator 5
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 96
 
13.8%
원 89
 
12.8%
영 26
 
3.7%
이 22
 
3.2%
스 20
 
2.9%
아 18
 
2.6%
미 15
 
2.2%
천 13
 
1.9%
술 12
 
1.7%
수 12
 
1.7%
Other values (174) 373
53.6%
Uppercase Letter
ValueCountFrequency (%)
E 8
16.7%
S 5
10.4%
M 4
 
8.3%
T 4
 
8.3%
I 3
 
6.2%
Y 3
 
6.2%
H 3
 
6.2%
K 2
 
4.2%
A 2
 
4.2%
W 2
 
4.2%
Other values (8) 12
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
13.3%
i 2
13.3%
n 2
13.3%
a 2
13.3%
p 2
13.3%
s 1
6.7%
o 1
6.7%
g 1
6.7%
d 1
6.7%
m 1
6.7%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 696
88.9%
Latin 63
 
8.0%
Common 24
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 96
 
13.8%
원 89
 
12.8%
영 26
 
3.7%
이 22
 
3.2%
스 20
 
2.9%
아 18
 
2.6%
미 15
 
2.2%
천 13
 
1.9%
술 12
 
1.7%
수 12
 
1.7%
Other values (174) 373
53.6%
Latin
ValueCountFrequency (%)
E 8
 
12.7%
S 5
 
7.9%
M 4
 
6.3%
T 4
 
6.3%
I 3
 
4.8%
Y 3
 
4.8%
H 3
 
4.8%
K 2
 
3.2%
A 2
 
3.2%
W 2
 
3.2%
Other values (18) 27
42.9%
Common
ValueCountFrequency (%)
) 9
37.5%
( 9
37.5%
5
20.8%
- 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 696
88.9%
ASCII 87
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 96
 
13.8%
원 89
 
12.8%
영 26
 
3.7%
이 22
 
3.2%
스 20
 
2.9%
아 18
 
2.6%
미 15
 
2.2%
천 13
 
1.9%
술 12
 
1.7%
수 12
 
1.7%
Other values (174) 373
53.6%
ASCII
ValueCountFrequency (%)
) 9
 
10.3%
( 9
 
10.3%
E 8
 
9.2%
5
 
5.7%
S 5
 
5.7%
M 4
 
4.6%
T 4
 
4.6%
I 3
 
3.4%
Y 3
 
3.4%
H 3
 
3.4%
Other values (22) 34
39.1%

주소
Text

Distinct86
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-12T18:48:54.350645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length26.409091
Min length21

Characters and Unicode

Total characters2324
Distinct characters95
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

Unique84 ?
Unique (%)95.5%

Sample

1st row경상북도 영천시 호국로 36 (야사동)
2nd row경상북도 영천시 창신길 140-11 , 2층 202호 (망정동)
3rd row경상북도 영천시 청통면 강둑길 7-2 (청통면)
4th row경상북도 영천시 상아탑길 9 (화룡동)
5th row경상북도 영천시 호국로 38-1 (야사동)
ValueCountFrequency (%)
경상북도 88
16.1%
영천시 88
16.1%
40
 
7.3%
망정동 27
 
5.0%
2층 27
 
5.0%
야사동 26
 
4.8%
호국로 16
 
2.9%
문외동 13
 
2.4%
문내동 12
 
2.2%
망정1길 9
 
1.7%
Other values (122) 199
36.5%
2023-12-12T18:48:55.126984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
457
19.7%
동 102
 
4.4%
상 93
 
4.0%
영 91
 
3.9%
천 90
 
3.9%
시 90
 
3.9%
도 89
 
3.8%
경 88
 
3.8%
( 88
 
3.8%
) 88
 
3.8%
Other values (85) 1048
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1265
54.4%
Space Separator 457
 
19.7%
Decimal Number 353
 
15.2%
Open Punctuation 88
 
3.8%
Close Punctuation 88
 
3.8%
Other Punctuation 51
 
2.2%
Dash Punctuation 20
 
0.9%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 102
 
8.1%
상 93
 
7.4%
영 91
 
7.2%
천 90
 
7.1%
시 90
 
7.1%
도 89
 
7.0%
경 88
 
7.0%
북 88
 
7.0%
길 58
 
4.6%
정 44
 
3.5%
Other values (68) 432
34.2%
Decimal Number
ValueCountFrequency (%)
1 88
24.9%
2 73
20.7%
0 38
10.8%
3 32
 
9.1%
4 30
 
8.5%
5 27
 
7.6%
6 22
 
6.2%
7 21
 
5.9%
8 17
 
4.8%
9 5
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
457
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Other Punctuation
ValueCountFrequency (%)
, 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1265
54.4%
Common 1057
45.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 102
 
8.1%
상 93
 
7.4%
영 91
 
7.2%
천 90
 
7.1%
시 90
 
7.1%
도 89
 
7.0%
경 88
 
7.0%
북 88
 
7.0%
길 58
 
4.6%
정 44
 
3.5%
Other values (68) 432
34.2%
Common
ValueCountFrequency (%)
457
43.2%
( 88
 
8.3%
) 88
 
8.3%
1 88
 
8.3%
2 73
 
6.9%
, 51
 
4.8%
0 38
 
3.6%
3 32
 
3.0%
4 30
 
2.8%
5 27
 
2.6%
Other values (5) 85
 
8.0%
Latin
ValueCountFrequency (%)
S 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1265
54.4%
ASCII 1059
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
457
43.2%
( 88
 
8.3%
) 88
 
8.3%
1 88
 
8.3%
2 73
 
6.9%
, 51
 
4.8%
0 38
 
3.6%
3 32
 
3.0%
4 30
 
2.8%
5 27
 
2.5%
Other values (7) 87
 
8.2%
Hangul
ValueCountFrequency (%)
동 102
 
8.1%
상 93
 
7.4%
영 91
 
7.2%
천 90
 
7.1%
시 90
 
7.1%
도 89
 
7.0%
경 88
 
7.0%
북 88
 
7.0%
길 58
 
4.6%
정 44
 
3.5%
Other values (68) 432
34.2%

설립운영자
Text

Distinct83
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-12T18:48:55.427686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.3522727
Min length2

Characters and Unicode

Total characters295
Distinct characters109
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)88.6%

Sample

1st row김경순
2nd row구순재
3rd row서향숙
4th row황보정민
5th row이장우
ValueCountFrequency (%)
구순재 2
 
2.2%
이아령 2
 
2.2%
배시은 2
 
2.2%
주식회사 2
 
2.2%
주)재능교육 2
 
2.2%
김정미 2
 
2.2%
권홍목 1
 
1.1%
정재열 1
 
1.1%
배준식 1
 
1.1%
유종호 1
 
1.1%
Other values (74) 74
82.2%
2023-12-12T18:48:55.809967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 24
 
8.1%
정 15
 
5.1%
이 10
 
3.4%
은 9
 
3.1%
주 9
 
3.1%
순 7
 
2.4%
현 7
 
2.4%
경 6
 
2.0%
희 6
 
2.0%
조 6
 
2.0%
Other values (99) 196
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
97.6%
Space Separator 2
 
0.7%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 24
 
8.3%
정 15
 
5.2%
이 10
 
3.5%
은 9
 
3.1%
주 9
 
3.1%
순 7
 
2.4%
현 7
 
2.4%
경 6
 
2.1%
희 6
 
2.1%
조 6
 
2.1%
Other values (95) 189
65.6%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
97.6%
Common 7
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 24
 
8.3%
정 15
 
5.2%
이 10
 
3.5%
은 9
 
3.1%
주 9
 
3.1%
순 7
 
2.4%
현 7
 
2.4%
경 6
 
2.1%
희 6
 
2.1%
조 6
 
2.1%
Other values (95) 189
65.6%
Common
ValueCountFrequency (%)
2
28.6%
) 2
28.6%
( 2
28.6%
, 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
97.6%
ASCII 7
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 24
 
8.3%
정 15
 
5.2%
이 10
 
3.5%
은 9
 
3.1%
주 9
 
3.1%
순 7
 
2.4%
현 7
 
2.4%
경 6
 
2.1%
희 6
 
2.1%
조 6
 
2.1%
Other values (95) 189
65.6%
ASCII
ValueCountFrequency (%)
2
28.6%
) 2
28.6%
( 2
28.6%
, 1
14.3%

Correlations

2023-12-12T18:48:55.944788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학원명(교습소명)주소설립운영자
학원명(교습소명)1.0001.0001.000
주소1.0001.0000.993
설립운영자1.0000.9931.000

Missing values

2023-12-12T18:48:53.269199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:48:53.353907image/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
0규장각독서실경상북도 영천시 호국로 36 (야사동)김경순
1아카데미학원경상북도 영천시 창신길 140-11 , 2층 202호 (망정동)구순재
2엔젤음악영수학원경상북도 영천시 청통면 강둑길 7-2 (청통면)서향숙
3에이원스터디학원경상북도 영천시 상아탑길 9 (화룡동)황보정민
4비트컴퓨터학원경상북도 영천시 호국로 38-1 (야사동)이장우
5세종컴퓨터학원경상북도 영천시 호국로 27 , 2층 (야사동)안부환
6창조의아침미술학원경상북도 영천시 호국로 35 (야사동)김형태
7효성음악학원경상북도 영천시 금호읍 금호로 189-1 (금호읍)윤원주
8라이크이스턴외국어학원경상북도 영천시 호국로 58 (야사동)김대한
9큐브아트센터예술학원경상북도 영천시 호국로 16 (야사동)조은정
학원명(교습소명)주소설립운영자
78김시언미주아뷰티아카데미미용학원경상북도 영천시 중앙동3길 50 , 2층 (문내동)김시언
79책나무 문외독서학원경상북도 영천시 중앙동4길 20 , 2층 (문외동)최주연
80리드앤톡영어수학학원경상북도 영천시 호국로 70 , 3층 (야사동)김지은
81필그림키즈미술학원경상북도 영천시 망정2길 184 , 2층, 2-1호 (망정동)신화진
82푸르넷영천중앙학원경상북도 영천시 중앙동2길 100 , 103호 (문내동)김현지
83(주)재능스스로학습센터 영천포은직영학원경상북도 영천시 망정2길 183 , 201호 (망정동)(주)재능교육
84애니문미술학원경상북도 영천시 상록2길 6 (야사동) 170-1손동혁
85이데아미술학원경상북도 영천시 호국로 57-1 (야사동)최병규
86브레인입시피아노학원경상북도 영천시 영천고1길 6 (야사동)염경란
87영동미용학원경상북도 영천시 호국로 10 (문외동)이명자