Overview

Dataset statistics

Number of variables3
Number of observations2070
Missing cells925
Missing cells (%)14.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.6 KiB
Average record size in memory24.1 B

Variable types

Text3

Dataset

Description대구광역시남부교육청이 지원하는 대구광역시 남구, 달서구 소재 학원, 교습소 명칭 및 주소 정보입니다. 대표 유선전화번호가 있는 경우 정보 제공.
Author대구광역시교육청 대구광역시남부교육지원청
URLhttps://www.data.go.kr/data/15015190/fileData.do

Alerts

전화번호 has 925 (44.7%) missing valuesMissing

Reproduction

Analysis started2024-04-21 01:01:16.190519
Analysis finished2024-04-21 01:01:17.019101
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학원명
Text

Distinct2039
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
2024-04-21T10:01:17.160394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length8.7270531
Min length4

Characters and Unicode

Total characters18065
Distinct characters625
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2020 ?
Unique (%)97.6%

Sample

1st row제일공과학원
2nd row현대건축토목학원
3rd row학취한문학원
4th row뉴컴퓨터전산회계학원
5th row샤론음악학원
ValueCountFrequency (%)
해법영어교습소 7
 
0.3%
푸르넷수학교습소 4
 
0.2%
해법수학교습소 4
 
0.2%
뮤엠영어교습소 3
 
0.1%
뮤즈피아노교습소 3
 
0.1%
예은피아노교습소 3
 
0.1%
빈센트미술교습소 2
 
0.1%
두잇독서실 2
 
0.1%
최강수학교습소 2
 
0.1%
베스트수학교습소 2
 
0.1%
Other values (2031) 2041
98.5%
2024-04-21T10:01:17.453037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 1843
 
10.2%
원 1283
 
7.1%
소 847
 
4.7%
교 835
 
4.6%
습 820
 
4.5%
어 684
 
3.8%
수 590
 
3.3%
영 514
 
2.8%
이 430
 
2.4%
스 356
 
2.0%
Other values (615) 9863
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17650
97.7%
Uppercase Letter 148
 
0.8%
Decimal Number 97
 
0.5%
Close Punctuation 50
 
0.3%
Open Punctuation 50
 
0.3%
Lowercase Letter 42
 
0.2%
Other Punctuation 22
 
0.1%
Space Separator 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 1843
 
10.4%
원 1283
 
7.3%
소 847
 
4.8%
교 835
 
4.7%
습 820
 
4.6%
어 684
 
3.9%
수 590
 
3.3%
영 514
 
2.9%
이 430
 
2.4%
스 356
 
2.0%
Other values (558) 9448
53.5%
Uppercase Letter
ValueCountFrequency (%)
S 18
 
12.2%
E 15
 
10.1%
A 14
 
9.5%
M 11
 
7.4%
I 9
 
6.1%
T 9
 
6.1%
K 7
 
4.7%
L 7
 
4.7%
H 6
 
4.1%
N 6
 
4.1%
Other values (12) 46
31.1%
Lowercase Letter
ValueCountFrequency (%)
e 10
23.8%
d 3
 
7.1%
r 3
 
7.1%
o 3
 
7.1%
h 3
 
7.1%
c 3
 
7.1%
n 3
 
7.1%
l 3
 
7.1%
u 2
 
4.8%
s 2
 
4.8%
Other values (6) 7
16.7%
Other Punctuation
ValueCountFrequency (%)
& 12
54.5%
, 3
 
13.6%
· 2
 
9.1%
/ 1
 
4.5%
＆ 1
 
4.5%
% 1
 
4.5%
. 1
 
4.5%
: 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 28
28.9%
2 25
25.8%
3 21
21.6%
0 18
18.6%
8 2
 
2.1%
4 2
 
2.1%
7 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17650
97.7%
Common 225
 
1.2%
Latin 190
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 1843
 
10.4%
원 1283
 
7.3%
소 847
 
4.8%
교 835
 
4.7%
습 820
 
4.6%
어 684
 
3.9%
수 590
 
3.3%
영 514
 
2.9%
이 430
 
2.4%
스 356
 
2.0%
Other values (558) 9448
53.5%
Latin
ValueCountFrequency (%)
S 18
 
9.5%
E 15
 
7.9%
A 14
 
7.4%
M 11
 
5.8%
e 10
 
5.3%
I 9
 
4.7%
T 9
 
4.7%
K 7
 
3.7%
L 7
 
3.7%
H 6
 
3.2%
Other values (28) 84
44.2%
Common
ValueCountFrequency (%)
) 50
22.2%
( 50
22.2%
1 28
12.4%
2 25
11.1%
3 21
9.3%
0 18
 
8.0%
& 12
 
5.3%
5
 
2.2%
, 3
 
1.3%
8 2
 
0.9%
Other values (9) 11
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17650
97.7%
ASCII 412
 
2.3%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 1843
 
10.4%
원 1283
 
7.3%
소 847
 
4.8%
교 835
 
4.7%
습 820
 
4.6%
어 684
 
3.9%
수 590
 
3.3%
영 514
 
2.9%
이 430
 
2.4%
스 356
 
2.0%
Other values (558) 9448
53.5%
ASCII
ValueCountFrequency (%)
) 50
 
12.1%
( 50
 
12.1%
1 28
 
6.8%
2 25
 
6.1%
3 21
 
5.1%
0 18
 
4.4%
S 18
 
4.4%
E 15
 
3.6%
A 14
 
3.4%
& 12
 
2.9%
Other values (45) 161
39.1%
None
ValueCountFrequency (%)
· 2
66.7%
＆ 1
33.3%

학원주소
Text

Distinct1982
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
2024-04-21T10:01:17.742120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length56
Mean length34.071981
Min length19

Characters and Unicode

Total characters70529
Distinct characters297
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1901 ?
Unique (%)91.8%

Sample

1st row대구광역시 남구 명덕로 172 4층 (대명동)
2nd row대구광역시 남구 명덕로 116 3~4층 (대명동)
3rd row대구광역시 달서구 야외음악당로2길 25 4층 (성당동)
4th row대구광역시 달서구 당산로30길 6 , 3층 (성당동)
5th row대구광역시 달서구 장기로26길 39 2층 (성당동)
ValueCountFrequency (%)
대구광역시 2070
 
13.3%
달서구 1810
 
11.6%
1584
 
10.2%
일부 453
 
2.9%
월성동 308
 
2.0%
2층 307
 
2.0%
상인동 275
 
1.8%
남구 260
 
1.7%
3층 228
 
1.5%
조암로 218
 
1.4%
Other values (1418) 8044
51.7%
2024-04-21T10:01:18.165829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14181
20.1%
구 4240
 
6.0%
대 2621
 
3.7%
동 2516
 
3.6%
2 2197
 
3.1%
1 2168
 
3.1%
, 2153
 
3.1%
역 2121
 
3.0%
시 2090
 
3.0%
( 2073
 
2.9%
Other values (287) 34169
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38391
54.4%
Space Separator 14181
 
20.1%
Decimal Number 11257
 
16.0%
Other Punctuation 2179
 
3.1%
Open Punctuation 2073
 
2.9%
Close Punctuation 2073
 
2.9%
Dash Punctuation 241
 
0.3%
Uppercase Letter 91
 
0.1%
Lowercase Letter 22
 
< 0.1%
Math Symbol 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4240
 
11.0%
대 2621
 
6.8%
동 2516
 
6.6%
역 2121
 
5.5%
시 2090
 
5.4%
광 2073
 
5.4%
서 2060
 
5.4%
로 2005
 
5.2%
달 1875
 
4.9%
층 1291
 
3.4%
Other values (252) 15499
40.4%
Uppercase Letter
ValueCountFrequency (%)
A 15
16.5%
K 14
15.4%
B 11
12.1%
E 11
12.1%
T 8
8.8%
S 7
7.7%
M 5
 
5.5%
R 5
 
5.5%
O 4
 
4.4%
I 2
 
2.2%
Other values (5) 9
9.9%
Decimal Number
ValueCountFrequency (%)
2 2197
19.5%
1 2168
19.3%
0 1538
13.7%
3 1472
13.1%
4 1031
9.2%
5 902
8.0%
6 695
 
6.2%
7 548
 
4.9%
9 357
 
3.2%
8 349
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 2153
98.8%
· 10
 
0.5%
/ 8
 
0.4%
. 8
 
0.4%
Space Separator
ValueCountFrequency (%)
14181
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2073
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2073
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 241
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38391
54.4%
Common 32025
45.4%
Latin 113
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4240
 
11.0%
대 2621
 
6.8%
동 2516
 
6.6%
역 2121
 
5.5%
시 2090
 
5.4%
광 2073
 
5.4%
서 2060
 
5.4%
로 2005
 
5.2%
달 1875
 
4.9%
층 1291
 
3.4%
Other values (252) 15499
40.4%
Common
ValueCountFrequency (%)
14181
44.3%
2 2197
 
6.9%
1 2168
 
6.8%
, 2153
 
6.7%
( 2073
 
6.5%
) 2073
 
6.5%
0 1538
 
4.8%
3 1472
 
4.6%
4 1031
 
3.2%
5 902
 
2.8%
Other values (9) 2237
 
7.0%
Latin
ValueCountFrequency (%)
e 22
19.5%
A 15
13.3%
K 14
12.4%
B 11
9.7%
E 11
9.7%
T 8
 
7.1%
S 7
 
6.2%
M 5
 
4.4%
R 5
 
4.4%
O 4
 
3.5%
Other values (6) 11
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38391
54.4%
ASCII 32128
45.6%
None 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14181
44.1%
2 2197
 
6.8%
1 2168
 
6.7%
, 2153
 
6.7%
( 2073
 
6.5%
) 2073
 
6.5%
0 1538
 
4.8%
3 1472
 
4.6%
4 1031
 
3.2%
5 902
 
2.8%
Other values (24) 2340
 
7.3%
Hangul
ValueCountFrequency (%)
구 4240
 
11.0%
대 2621
 
6.8%
동 2516
 
6.6%
역 2121
 
5.5%
시 2090
 
5.4%
광 2073
 
5.4%
서 2060
 
5.4%
로 2005
 
5.2%
달 1875
 
4.9%
층 1291
 
3.4%
Other values (252) 15499
40.4%
None
ValueCountFrequency (%)
· 10
100.0%

전화번호
Text

MISSING 

Distinct1132
Distinct (%)98.9%
Missing925
Missing (%)44.7%
Memory size16.3 KiB
2024-04-21T10:01:18.350796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.020961
Min length12

Characters and Unicode

Total characters13764
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

Unique1120 ?
Unique (%)97.8%

Sample

1st row053-252-1145
2nd row053-624-4214
3rd row053-623-9817
4th row053-623-3922
5th row053-626-4752
ValueCountFrequency (%)
053-639-5595 3
 
0.3%
053-526-0246 2
 
0.2%
053-555-5800 2
 
0.2%
053-641-1500 2
 
0.2%
053-473-2997 2
 
0.2%
053-637-8133 2
 
0.2%
053-572-0005 2
 
0.2%
053-636-3317 2
 
0.2%
053-710-4541 2
 
0.2%
053-636-0943 2
 
0.2%
Other values (1122) 1124
98.2%
2024-04-21T10:01:18.654261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2290
16.6%
5 2196
16.0%
3 2096
15.2%
0 2009
14.6%
6 1216
8.8%
2 837
 
6.1%
7 668
 
4.9%
1 658
 
4.8%
4 645
 
4.7%
8 605
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11474
83.4%
Dash Punctuation 2290
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2196
19.1%
3 2096
18.3%
0 2009
17.5%
6 1216
10.6%
2 837
 
7.3%
7 668
 
5.8%
1 658
 
5.7%
4 645
 
5.6%
8 605
 
5.3%
9 544
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 2290
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13764
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2290
16.6%
5 2196
16.0%
3 2096
15.2%
0 2009
14.6%
6 1216
8.8%
2 837
 
6.1%
7 668
 
4.9%
1 658
 
4.8%
4 645
 
4.7%
8 605
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13764
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2290
16.6%
5 2196
16.0%
3 2096
15.2%
0 2009
14.6%
6 1216
8.8%
2 837
 
6.1%
7 668
 
4.9%
1 658
 
4.8%
4 645
 
4.7%
8 605
 
4.4%

Missing values

2024-04-21T10:01:16.928884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:01:16.990522image/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

학원명학원주소전화번호
0제일공과학원대구광역시 남구 명덕로 172 4층 (대명동)053-252-1145
1현대건축토목학원대구광역시 남구 명덕로 116 3~4층 (대명동)053-624-4214
2학취한문학원대구광역시 달서구 야외음악당로2길 25 4층 (성당동)053-623-9817
3뉴컴퓨터전산회계학원대구광역시 달서구 당산로30길 6 , 3층 (성당동)053-623-3922
4샤론음악학원대구광역시 달서구 장기로26길 39 2층 (성당동)053-626-4752
5한국컴퓨터학원대구광역시 달서구 달구벌대로 1655-1 (감삼동)053-554-0080
6청구음악학원대구광역시 남구 신촌2길 2 1~2층 (봉덕동)053-472-0390
7세광음악학원대구광역시 달서구 월배로68길 45 2층 (송현동)053-651-3883
8술술학원대구광역시 달서구 월배로 371 1~2층 (송현동)053-624-0908
9휘경수학입시학원대구광역시 남구 신촌길 42 2층 (봉덕동)053-475-1534
학원명학원주소전화번호
2060앤쌤영어교습소대구광역시 달서구 조암로6길 20 제1상가 207호(월성동,월성푸르지오)<NA>
2061아트,몰랑몰랑미술교습소대구광역시 달서구 상인서로 76 (상인동,상인영남화성타운)<NA>
2062그림집미술교습소대구광역시 달서구 월배로11길 32 제1동 203호 일부(대천동)<NA>
2063모노키즈아트미술교습소대구광역시 달서구 조암남로 76 2층 (월성동)<NA>
2064이루다수학교습소대구광역시 달서구 월곡로43길 34 , 3층 일부 (상인동)<NA>
2065라온음악교습소대구광역시 달서구 진천로 16 (진천동)<NA>
2066경대탑수학교습소대구광역시 달서구 월배로33길 117 , 302동 202호 (월성동,태왕 아너스 BEST)<NA>
2067이랑영어교습소대구광역시 달서구 상원로 117 , 4층 일부 (상인동)<NA>
2068TEAMMATH(팀매쓰)월성수학교습소대구광역시 달서구 조암로 37 , 402호 일부 (월성동)<NA>
2069ITC(아이티씨)영어교습소대구광역시 남구 대덕로40길 134 , 2층 (봉덕동)<NA>