Overview

Dataset statistics

Number of variables4
Number of observations398
Missing cells64
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory32.3 B

Variable types

Categorical1
Text3

Dataset

Description수영장, 체육도장, 골프연습장, 체력단력장, 당구장 등 대구광역시 동구 관내의 체육시설업 현황입니다. 상호, 도로명주소, 전화번호 등의 내용을 포함합니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/3057613/fileData.do

Alerts

시설전화번호 has 64 (16.1%) missing valuesMissing

Reproduction

Analysis started2024-03-23 07:00:51.081824
Analysis finished2024-03-23 07:00:52.296305
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct11
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
체육도장업
109 
체력단련장업
77 
가상체험 체육시설업
73 
당구장업
56 
골프연습장업
39 
Other values (6)
44 

Length

Max length10
Median length7
Mean length6.080402
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row수영장업
2nd row수영장업
3rd row체육도장업
4th row체육도장업
5th row체육도장업

Common Values

ValueCountFrequency (%)
체육도장업 109
27.4%
체력단련장업 77
19.3%
가상체험 체육시설업 73
18.3%
당구장업 56
14.1%
골프연습장업 39
 
9.8%
체육교습업 19
 
4.8%
무도학원업 17
 
4.3%
종합체육시설업 3
 
0.8%
수영장업 2
 
0.5%
인공암벽장업 2
 
0.5%

Length

2024-03-23T07:00:52.531291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
체육도장업 109
23.1%
체력단련장업 77
16.3%
가상체험 73
15.5%
체육시설업 73
15.5%
당구장업 56
11.9%
골프연습장업 39
 
8.3%
체육교습업 19
 
4.0%
무도학원업 17
 
3.6%
종합체육시설업 3
 
0.6%
수영장업 2
 
0.4%
Other values (2) 3
 
0.6%

상호
Text

Distinct385
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-23T07:00:53.294863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length8.3341709
Min length3

Characters and Unicode

Total characters3317
Distinct characters380
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

Unique372 ?
Unique (%)93.5%

Sample

1st row동촌아쿠아수영장
2nd row에이스 어린이 수영장
3rd row동성체육관
4th row효신태권도장
5th row반야월태권도장
ValueCountFrequency (%)
태권도장 20
 
3.2%
스크린골프 11
 
1.7%
아카데미 11
 
1.7%
당구클럽 8
 
1.3%
골프 6
 
0.9%
합기도 6
 
0.9%
gym 6
 
0.9%
대구 4
 
0.6%
계명대 4
 
0.6%
휘트니스 4
 
0.6%
Other values (483) 554
87.4%
2024-03-23T07:00:54.408610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
236
 
7.1%
172
 
5.2%
113
 
3.4%
103
 
3.1%
98
 
3.0%
96
 
2.9%
88
 
2.7%
76
 
2.3%
74
 
2.2%
69
 
2.1%
Other values (370) 2192
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2853
86.0%
Space Separator 236
 
7.1%
Uppercase Letter 140
 
4.2%
Lowercase Letter 22
 
0.7%
Open Punctuation 19
 
0.6%
Close Punctuation 19
 
0.6%
Other Punctuation 13
 
0.4%
Decimal Number 13
 
0.4%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
172
 
6.0%
113
 
4.0%
103
 
3.6%
98
 
3.4%
96
 
3.4%
88
 
3.1%
76
 
2.7%
74
 
2.6%
69
 
2.4%
59
 
2.1%
Other values (317) 1905
66.8%
Uppercase Letter
ValueCountFrequency (%)
G 21
15.0%
M 15
 
10.7%
Y 12
 
8.6%
S 11
 
7.9%
T 11
 
7.9%
E 7
 
5.0%
P 6
 
4.3%
R 5
 
3.6%
B 5
 
3.6%
H 5
 
3.6%
Other values (15) 42
30.0%
Lowercase Letter
ValueCountFrequency (%)
s 5
22.7%
e 3
13.6%
g 2
 
9.1%
l 2
 
9.1%
n 2
 
9.1%
t 1
 
4.5%
y 1
 
4.5%
m 1
 
4.5%
a 1
 
4.5%
b 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
2 5
38.5%
4 3
23.1%
3 2
 
15.4%
6 1
 
7.7%
5 1
 
7.7%
1 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
& 7
53.8%
. 2
 
15.4%
' 2
 
15.4%
, 1
 
7.7%
: 1
 
7.7%
Space Separator
ValueCountFrequency (%)
236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2853
86.0%
Common 302
 
9.1%
Latin 162
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
172
 
6.0%
113
 
4.0%
103
 
3.6%
98
 
3.4%
96
 
3.4%
88
 
3.1%
76
 
2.7%
74
 
2.6%
69
 
2.4%
59
 
2.1%
Other values (317) 1905
66.8%
Latin
ValueCountFrequency (%)
G 21
 
13.0%
M 15
 
9.3%
Y 12
 
7.4%
S 11
 
6.8%
T 11
 
6.8%
E 7
 
4.3%
P 6
 
3.7%
R 5
 
3.1%
s 5
 
3.1%
B 5
 
3.1%
Other values (28) 64
39.5%
Common
ValueCountFrequency (%)
236
78.1%
( 19
 
6.3%
) 19
 
6.3%
& 7
 
2.3%
2 5
 
1.7%
4 3
 
1.0%
. 2
 
0.7%
3 2
 
0.7%
- 2
 
0.7%
' 2
 
0.7%
Other values (5) 5
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2853
86.0%
ASCII 464
 
14.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
236
50.9%
G 21
 
4.5%
( 19
 
4.1%
) 19
 
4.1%
M 15
 
3.2%
Y 12
 
2.6%
S 11
 
2.4%
T 11
 
2.4%
& 7
 
1.5%
E 7
 
1.5%
Other values (43) 106
22.8%
Hangul
ValueCountFrequency (%)
172
 
6.0%
113
 
4.0%
103
 
3.6%
98
 
3.4%
96
 
3.4%
88
 
3.1%
76
 
2.7%
74
 
2.6%
69
 
2.4%
59
 
2.1%
Other values (317) 1905
66.8%
Distinct390
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-23T07:00:55.094943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length29.969849
Min length20

Characters and Unicode

Total characters11928
Distinct characters218
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

Unique382 ?
Unique (%)96.0%

Sample

1st row대구광역시 동구 동촌로 168 (방촌동, 대구동촌초등학교)
2nd row대구광역시 동구 경안로 722, 지하1층 (동호동)
3rd row대구광역시 동구 아양로11길 39-5 (신암동)
4th row대구광역시 동구 화랑로11길 26, 상가동 1층 (신천동, 코스모스아파트)
5th row대구광역시 동구 반야월로14길 13 (율하동)
ValueCountFrequency (%)
대구광역시 398
 
15.9%
동구 398
 
15.9%
2층 64
 
2.6%
3층 54
 
2.2%
신천동 49
 
2.0%
신암동 46
 
1.8%
율하동 43
 
1.7%
방촌동 36
 
1.4%
신서동 34
 
1.4%
동촌로 32
 
1.3%
Other values (521) 1350
53.9%
2024-03-23T07:00:56.355927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2106
17.7%
985
 
8.3%
817
 
6.8%
435
 
3.6%
, 414
 
3.5%
410
 
3.4%
405
 
3.4%
405
 
3.4%
401
 
3.4%
) 398
 
3.3%
Other values (208) 5152
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6529
54.7%
Space Separator 2106
 
17.7%
Decimal Number 2018
 
16.9%
Other Punctuation 418
 
3.5%
Close Punctuation 398
 
3.3%
Open Punctuation 398
 
3.3%
Dash Punctuation 52
 
0.4%
Uppercase Letter 5
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
985
15.1%
817
 
12.5%
435
 
6.7%
410
 
6.3%
405
 
6.2%
405
 
6.2%
401
 
6.1%
242
 
3.7%
168
 
2.6%
166
 
2.5%
Other values (188) 2095
32.1%
Decimal Number
ValueCountFrequency (%)
1 376
18.6%
2 354
17.5%
3 263
13.0%
0 254
12.6%
5 206
10.2%
4 190
9.4%
6 130
 
6.4%
7 91
 
4.5%
9 83
 
4.1%
8 71
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
H 1
 
20.0%
G 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 414
99.0%
. 4
 
1.0%
Space Separator
ValueCountFrequency (%)
2106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 398
100.0%
Open Punctuation
ValueCountFrequency (%)
( 398
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6529
54.7%
Common 5394
45.2%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
985
15.1%
817
 
12.5%
435
 
6.7%
410
 
6.3%
405
 
6.2%
405
 
6.2%
401
 
6.1%
242
 
3.7%
168
 
2.6%
166
 
2.5%
Other values (188) 2095
32.1%
Common
ValueCountFrequency (%)
2106
39.0%
, 414
 
7.7%
) 398
 
7.4%
( 398
 
7.4%
1 376
 
7.0%
2 354
 
6.6%
3 263
 
4.9%
0 254
 
4.7%
5 206
 
3.8%
4 190
 
3.5%
Other values (7) 435
 
8.1%
Latin
ValueCountFrequency (%)
B 3
60.0%
H 1
 
20.0%
G 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6529
54.7%
ASCII 5399
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2106
39.0%
, 414
 
7.7%
) 398
 
7.4%
( 398
 
7.4%
1 376
 
7.0%
2 354
 
6.6%
3 263
 
4.9%
0 254
 
4.7%
5 206
 
3.8%
4 190
 
3.5%
Other values (10) 440
 
8.1%
Hangul
ValueCountFrequency (%)
985
15.1%
817
 
12.5%
435
 
6.7%
410
 
6.3%
405
 
6.2%
405
 
6.2%
401
 
6.1%
242
 
3.7%
168
 
2.6%
166
 
2.5%
Other values (188) 2095
32.1%

시설전화번호
Text

MISSING 

Distinct323
Distinct (%)96.7%
Missing64
Missing (%)16.1%
Memory size3.2 KiB
2024-03-23T07:00:57.121051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.347305
Min length9

Characters and Unicode

Total characters4124
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

Unique313 ?
Unique (%)93.7%

Sample

1st row053-986-5012
2nd row053-793-6452
3rd row053-942-6601
4th row053-756-1711
5th row053-963-1102
ValueCountFrequency (%)
053-952-3000 3
 
0.9%
053-961-4100 2
 
0.6%
0507-1382-3312 2
 
0.6%
053-1833-9626 2
 
0.6%
053-985-1009 2
 
0.6%
053-965-0755 2
 
0.6%
053-942-0002 2
 
0.6%
0507-1391-1017 2
 
0.6%
053-965-9994 2
 
0.6%
053-721-7877 2
 
0.6%
Other values (313) 313
93.7%
2024-03-23T07:00:58.192054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 672
16.3%
- 666
16.1%
5 558
13.5%
3 476
11.5%
9 361
8.8%
7 276
6.7%
1 263
 
6.4%
6 243
 
5.9%
8 223
 
5.4%
4 202
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3458
83.9%
Dash Punctuation 666
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 672
19.4%
5 558
16.1%
3 476
13.8%
9 361
10.4%
7 276
8.0%
1 263
 
7.6%
6 243
 
7.0%
8 223
 
6.4%
4 202
 
5.8%
2 184
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 666
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4124
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 672
16.3%
- 666
16.1%
5 558
13.5%
3 476
11.5%
9 361
8.8%
7 276
6.7%
1 263
 
6.4%
6 243
 
5.9%
8 223
 
5.4%
4 202
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 672
16.3%
- 666
16.1%
5 558
13.5%
3 476
11.5%
9 361
8.8%
7 276
6.7%
1 263
 
6.4%
6 243
 
5.9%
8 223
 
5.4%
4 202
 
4.9%

Missing values

2024-03-23T07:00:51.873833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:00:52.186905image/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

업종상호시설주소(도로명)시설전화번호
0수영장업동촌아쿠아수영장대구광역시 동구 동촌로 168 (방촌동, 대구동촌초등학교)053-986-5012
1수영장업에이스 어린이 수영장대구광역시 동구 경안로 722, 지하1층 (동호동)053-793-6452
2체육도장업동성체육관대구광역시 동구 아양로11길 39-5 (신암동)053-942-6601
3체육도장업효신태권도장대구광역시 동구 화랑로11길 26, 상가동 1층 (신천동, 코스모스아파트)053-756-1711
4체육도장업반야월태권도장대구광역시 동구 반야월로14길 13 (율하동)053-963-1102
5체육도장업힘찬태권도대구광역시 동구 동호로3길 3, 3.4층 (동호동)053-965-7368
6체육도장업지묘경희도장대구광역시 동구 팔공로101길 55, 상가동 301호 (지묘동, 팔공보성2차아파트)053-982-9924
7체육도장업최강키즈태권도장대구광역시 동구 팔공로31길 1, 3층 (불로동)<NA>
8체육도장업보람체육관대구광역시 동구 율하동로24길 76, 2층 (서호동)053-963-6520
9체육도장업무성체육관대구광역시 동구 동촌로 190, 202, 203호 (방촌동, 영남네오빌)053-982-5082
업종상호시설주소(도로명)시설전화번호
388체육교습업위너키즈스포츠 율하신서점대구광역시 동구 안심로22길 60, 동흥메디칼 602호 (율하동)053-965-8288
389체육교습업위드스포츠 혁신점대구광역시 동구 경안로 938, 203-1호 (각산동)053-965-4944
390체육교습업유니온축구클럽대구광역시 동구 메디밸리로 5-21, 3층 301,302호 (대림동)<NA>
391체육교습업윤창열 축구교실대구광역시 동구 첨단로8길 8, 4층 402호, 404호 (신서동)053-965-2242
392체육교습업스카이 스포츠아카데미지점대구광역시 동구 안심로 80, 롯데쇼핑프라자 3층 (율하동)<NA>
393체육교습업줄친구 점프점프대구광역시 동구 경안로 820, 2층 201호 (각산동)053-961-9799
394체육교습업김용대 축구클럽대구광역시 동구 이노밸리로 166, 3층 301, 302호 (각산동)<NA>
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