Overview

Dataset statistics

Number of variables5
Number of observations330
Missing cells109
Missing cells (%)6.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory40.4 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description경기도 오산시 체육 관련 시설 업체에 대한 현황으로 업종, 상호명, 도로명주소소재지, 시설전화번호 정보를 제공합니다.
Author경기도 오산시
URLhttps://www.data.go.kr/data/15033610/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설전화번호 has 109 (33.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:00:58.159119
Analysis finished2023-12-12 16:00:58.645783
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct9
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
체육도장업
86 
당구장업
63 
가상체험 체육시설업
58 
체력단련장업
52 
골프연습장업
39 
Other values (4)
32 

Length

Max length10
Median length6
Mean length5.9575758
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 86
26.1%
당구장업 63
19.1%
가상체험 체육시설업 58
17.6%
체력단련장업 52
15.8%
골프연습장업 39
11.8%
체육교습업 27
 
8.2%
수영장업 3
 
0.9%
인공암벽장업 1
 
0.3%
무도학원업 1
 
0.3%

Length

2023-12-13T01:00:58.716915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:58.815229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 86
22.2%
당구장업 63
16.2%
가상체험 58
14.9%
체육시설업 58
14.9%
체력단련장업 52
13.4%
골프연습장업 39
10.1%
체육교습업 27
 
7.0%
수영장업 3
 
0.8%
인공암벽장업 1
 
0.3%
무도학원업 1
 
0.3%

상호
Text

Distinct324
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-13T01:00:59.036860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length19
Mean length9.0606061
Min length2

Characters and Unicode

Total characters2990
Distinct characters358
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

Unique318 ?
Unique (%)96.4%

Sample

1st row현 태권도장
2nd row오산검도관
3rd rowMTA 독수리 태권도 도장
4th row운암으뜸체육관
5th row비호경희대태권도
ValueCountFrequency (%)
태권도장 33
 
4.8%
스크린 24
 
3.5%
용인대 20
 
2.9%
당구클럽 17
 
2.5%
당구장 16
 
2.3%
골프 13
 
1.9%
오산 12
 
1.7%
경희대 9
 
1.3%
골프존 8
 
1.2%
태권도 8
 
1.2%
Other values (406) 531
76.8%
2023-12-13T01:00:59.622880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
362
 
12.1%
스 109
 
3.6%
프 88
 
2.9%
장 85
 
2.8%
도 81
 
2.7%
골 75
 
2.5%
크 68
 
2.3%
구 67
 
2.2%
태 60
 
2.0%
당 59
 
2.0%
Other values (348) 1936
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2331
78.0%
Space Separator 362
 
12.1%
Uppercase Letter 167
 
5.6%
Lowercase Letter 73
 
2.4%
Decimal Number 27
 
0.9%
Close Punctuation 10
 
0.3%
Open Punctuation 10
 
0.3%
Other Punctuation 8
 
0.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 109
 
4.7%
프 88
 
3.8%
장 85
 
3.6%
도 81
 
3.5%
골 75
 
3.2%
크 68
 
2.9%
구 67
 
2.9%
태 60
 
2.6%
당 59
 
2.5%
권 59
 
2.5%
Other values (291) 1580
67.8%
Uppercase Letter
ValueCountFrequency (%)
S 21
12.6%
G 17
 
10.2%
M 14
 
8.4%
Y 12
 
7.2%
P 11
 
6.6%
B 9
 
5.4%
T 8
 
4.8%
C 8
 
4.8%
J 8
 
4.8%
D 7
 
4.2%
Other values (13) 52
31.1%
Lowercase Letter
ValueCountFrequency (%)
l 7
 
9.6%
i 7
 
9.6%
e 7
 
9.6%
n 6
 
8.2%
r 6
 
8.2%
o 5
 
6.8%
m 4
 
5.5%
a 4
 
5.5%
c 4
 
5.5%
u 4
 
5.5%
Other values (9) 19
26.0%
Decimal Number
ValueCountFrequency (%)
0 8
29.6%
7 6
22.2%
2 4
14.8%
1 4
14.8%
3 2
 
7.4%
9 2
 
7.4%
8 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
& 4
50.0%
. 2
25.0%
＆ 1
 
12.5%
' 1
 
12.5%
Space Separator
ValueCountFrequency (%)
362
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2331
78.0%
Common 419
 
14.0%
Latin 240
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 109
 
4.7%
프 88
 
3.8%
장 85
 
3.6%
도 81
 
3.5%
골 75
 
3.2%
크 68
 
2.9%
구 67
 
2.9%
태 60
 
2.6%
당 59
 
2.5%
권 59
 
2.5%
Other values (291) 1580
67.8%
Latin
ValueCountFrequency (%)
S 21
 
8.8%
G 17
 
7.1%
M 14
 
5.8%
Y 12
 
5.0%
P 11
 
4.6%
B 9
 
3.8%
T 8
 
3.3%
C 8
 
3.3%
J 8
 
3.3%
D 7
 
2.9%
Other values (32) 125
52.1%
Common
ValueCountFrequency (%)
362
86.4%
) 10
 
2.4%
( 10
 
2.4%
0 8
 
1.9%
7 6
 
1.4%
& 4
 
1.0%
2 4
 
1.0%
1 4
 
1.0%
3 2
 
0.5%
9 2
 
0.5%
Other values (5) 7
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2331
78.0%
ASCII 658
 
22.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
362
55.0%
S 21
 
3.2%
G 17
 
2.6%
M 14
 
2.1%
Y 12
 
1.8%
P 11
 
1.7%
) 10
 
1.5%
( 10
 
1.5%
B 9
 
1.4%
T 8
 
1.2%
Other values (46) 184
28.0%
Hangul
ValueCountFrequency (%)
스 109
 
4.7%
프 88
 
3.8%
장 85
 
3.6%
도 81
 
3.5%
골 75
 
3.2%
크 68
 
2.9%
구 67
 
2.9%
태 60
 
2.6%
당 59
 
2.5%
권 59
 
2.5%
Other values (291) 1580
67.8%
None
ValueCountFrequency (%)
＆ 1
100.0%

시설주소(도로명)
Text

Distinct323
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-13T01:00:59.910532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length45.5
Mean length31.309091
Min length19

Characters and Unicode

Total characters10332
Distinct characters267
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique316 ?
Unique (%)95.8%

Sample

1st row경기도 오산시 박동길 7 (수청동, 럭키마트)
2nd row경기도 오산시 오산로 91-12 (갈곶동)
3rd row경기도 오산시 오산로62번길 6-4 (갈곶동, 독수리태권도장)
4th row경기도 오산시 대원로 72 (원동, 운암주공프라자)
5th row경기도 오산시 가수로 72 (가수동)
ValueCountFrequency (%)
경기도 330
 
15.3%
오산시 330
 
15.3%
2층 75
 
3.5%
원동 66
 
3.1%
오산동 40
 
1.9%
3층 35
 
1.6%
궐동 33
 
1.5%
경기대로 29
 
1.3%
외삼미동 26
 
1.2%
수청동 26
 
1.2%
Other values (563) 1169
54.1%
2023-12-13T01:01:00.409638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1830
 
17.7%
산 475
 
4.6%
오 428
 
4.1%
동 393
 
3.8%
경 370
 
3.6%
기 370
 
3.6%
, 363
 
3.5%
시 348
 
3.4%
( 339
 
3.3%
) 339
 
3.3%
Other values (257) 5077
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5541
53.6%
Space Separator 1830
 
17.7%
Decimal Number 1770
 
17.1%
Other Punctuation 370
 
3.6%
Open Punctuation 339
 
3.3%
Close Punctuation 339
 
3.3%
Dash Punctuation 90
 
0.9%
Uppercase Letter 33
 
0.3%
Math Symbol 18
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 475
 
8.6%
오 428
 
7.7%
동 393
 
7.1%
경 370
 
6.7%
기 370
 
6.7%
시 348
 
6.3%
도 335
 
6.0%
로 314
 
5.7%
층 192
 
3.5%
호 128
 
2.3%
Other values (226) 2188
39.5%
Uppercase Letter
ValueCountFrequency (%)
P 14
42.4%
B 3
 
9.1%
A 3
 
9.1%
L 2
 
6.1%
W 2
 
6.1%
G 2
 
6.1%
K 1
 
3.0%
C 1
 
3.0%
O 1
 
3.0%
M 1
 
3.0%
Other values (3) 3
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 332
18.8%
2 313
17.7%
3 244
13.8%
0 209
11.8%
4 180
10.2%
5 125
 
7.1%
6 101
 
5.7%
7 101
 
5.7%
8 86
 
4.9%
9 79
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 363
98.1%
& 7
 
1.9%
Space Separator
ValueCountFrequency (%)
1830
100.0%
Open Punctuation
ValueCountFrequency (%)
( 339
100.0%
Close Punctuation
ValueCountFrequency (%)
) 339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5541
53.6%
Common 4756
46.0%
Latin 35
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 475
 
8.6%
오 428
 
7.7%
동 393
 
7.1%
경 370
 
6.7%
기 370
 
6.7%
시 348
 
6.3%
도 335
 
6.0%
로 314
 
5.7%
층 192
 
3.5%
호 128
 
2.3%
Other values (226) 2188
39.5%
Common
ValueCountFrequency (%)
1830
38.5%
, 363
 
7.6%
( 339
 
7.1%
) 339
 
7.1%
1 332
 
7.0%
2 313
 
6.6%
3 244
 
5.1%
0 209
 
4.4%
4 180
 
3.8%
5 125
 
2.6%
Other values (7) 482
 
10.1%
Latin
ValueCountFrequency (%)
P 14
40.0%
B 3
 
8.6%
A 3
 
8.6%
L 2
 
5.7%
W 2
 
5.7%
G 2
 
5.7%
e 2
 
5.7%
K 1
 
2.9%
C 1
 
2.9%
O 1
 
2.9%
Other values (4) 4
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5541
53.6%
ASCII 4791
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1830
38.2%
, 363
 
7.6%
( 339
 
7.1%
) 339
 
7.1%
1 332
 
6.9%
2 313
 
6.5%
3 244
 
5.1%
0 209
 
4.4%
4 180
 
3.8%
5 125
 
2.6%
Other values (21) 517
 
10.8%
Hangul
ValueCountFrequency (%)
산 475
 
8.6%
오 428
 
7.7%
동 393
 
7.1%
경 370
 
6.7%
기 370
 
6.7%
시 348
 
6.3%
도 335
 
6.0%
로 314
 
5.7%
층 192
 
3.5%
호 128
 
2.3%
Other values (226) 2188
39.5%

시설전화번호
Text

MISSING 

Distinct214
Distinct (%)96.8%
Missing109
Missing (%)33.0%
Memory size2.7 KiB
2023-12-13T01:01:00.736645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.058824
Min length12

Characters and Unicode

Total characters2665
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

Unique207 ?
Unique (%)93.7%

Sample

1st row031-374-0662
2nd row031-375-8840
3rd row031-376-8686
4th row031-377-7941
5th row031-374-1996
ValueCountFrequency (%)
031-374-2045 2
 
0.9%
031-224-7696 2
 
0.9%
031-376-8296 2
 
0.9%
031-375-0722 2
 
0.9%
031-373-9321 2
 
0.9%
031-376-0531 2
 
0.9%
031-376-2530 2
 
0.9%
031-376-2790 1
 
0.5%
031-375-5400 1
 
0.5%
031-372-5722 1
 
0.5%
Other values (204) 204
92.3%
2023-12-13T01:01:01.207008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 520
19.5%
- 442
16.6%
0 367
13.8%
7 345
12.9%
1 311
11.7%
2 135
 
5.1%
8 127
 
4.8%
5 124
 
4.7%
6 114
 
4.3%
9 92
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2223
83.4%
Dash Punctuation 442
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 520
23.4%
0 367
16.5%
7 345
15.5%
1 311
14.0%
2 135
 
6.1%
8 127
 
5.7%
5 124
 
5.6%
6 114
 
5.1%
9 92
 
4.1%
4 88
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 442
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2665
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 520
19.5%
- 442
16.6%
0 367
13.8%
7 345
12.9%
1 311
11.7%
2 135
 
5.1%
8 127
 
4.8%
5 124
 
4.7%
6 114
 
4.3%
9 92
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2665
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 520
19.5%
- 442
16.6%
0 367
13.8%
7 345
12.9%
1 311
11.7%
2 135
 
5.1%
8 127
 
4.8%
5 124
 
4.7%
6 114
 
4.3%
9 92
 
3.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2023-09-04 00:00:00
Maximum2023-09-04 00:00:00
2023-12-13T01:01:01.337678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:01.457600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T01:00:58.524342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:00:58.607902image/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)시설전화번호데이터기준일자
0체육도장업현 태권도장경기도 오산시 박동길 7 (수청동, 럭키마트)031-374-06622023-09-04
1체육도장업오산검도관경기도 오산시 오산로 91-12 (갈곶동)031-375-88402023-09-04
2체육도장업MTA 독수리 태권도 도장경기도 오산시 오산로62번길 6-4 (갈곶동, 독수리태권도장)031-376-86862023-09-04
3체육도장업운암으뜸체육관경기도 오산시 대원로 72 (원동, 운암주공프라자)031-377-79412023-09-04
4체육도장업비호경희대태권도경기도 오산시 가수로 72 (가수동)031-374-19962023-09-04
5체육도장업용인대 청룡 태권도장경기도 오산시 은여울로43번길 13, 3층 (은계동, 관인은계태권도체육관)031-373-93212023-09-04
6체육도장업오산복싱＆킥복싱 멀티짐경기도 오산시 성호대로 123 (오산동, 오산그린프라자)031-377-12362023-09-04
7체육도장업용인대 바른 태권도장경기도 오산시 성산새싹길 2 (오산동)031-377-73542023-09-04
8체육도장업오산태권도장경기도 오산시 오산로348번길 3, 2층 203호 (궐동)<NA>2023-09-04
9체육도장업중앙 경희 태권도장경기도 오산시 성호새싹길 11 (오산동, 세종학원)031-376-00552023-09-04
업종상호시설주소(도로명)시설전화번호데이터기준일자
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324가상체험 체육시설업VIP 스크린 골프경기도 오산시 경기대로 868-4, 1층 (세교동)<NA>2023-09-04
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326가상체험 체육시설업프렌즈 스크린 가장 스카이 스크린골프경기도 오산시 서동로 193, 3층 (가장동)031-372-07822023-09-04
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328가상체험 체육시설업골프존파크 초평 벌음점경기도 오산시 발안로 1273-15, 2층 (벌음동)070-7793-07072023-09-04
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