Overview

Dataset statistics

Number of variables4
Number of observations616
Missing cells216
Missing cells (%)8.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.4 KiB
Average record size in memory32.2 B

Variable types

Categorical1
Text3

Dataset

Description안양시 관내 체육시설업 현황(관내 체육시설 업종, 관내 체육시설 상호, 관내 체육시설 소재지, 관내 체육시설 전화번호) 데이터 정보입니다.
URLhttps://www.data.go.kr/data/3079421/fileData.do

Alerts

전화번호 has 216 (35.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:03:20.639171
Analysis finished2023-12-12 04:03:21.257754
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct11
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
당구장업
146 
체력단련장업
145 
체육도장업
144 
골프연습장업
109 
가상체험 체육시설업
24 
Other values (6)
48 

Length

Max length10
Median length7
Mean length5.3701299
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가상체험 체육시설업
2nd row가상체험 체육시설업
3rd row가상체험 체육시설업
4th row가상체험 체육시설업
5th row가상체험 체육시설업

Common Values

ValueCountFrequency (%)
당구장업 146
23.7%
체력단련장업 145
23.5%
체육도장업 144
23.4%
골프연습장업 109
17.7%
가상체험 체육시설업 24
 
3.9%
체육교습업 23
 
3.7%
무도학원업 9
 
1.5%
수영장업 7
 
1.1%
인공암벽장업 5
 
0.8%
무도장업 2
 
0.3%

Length

2023-12-12T13:03:21.355954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
당구장업 146
22.8%
체력단련장업 145
22.7%
체육도장업 144
22.5%
골프연습장업 109
17.0%
가상체험 24
 
3.8%
체육시설업 24
 
3.8%
체육교습업 23
 
3.6%
무도학원업 9
 
1.4%
수영장업 7
 
1.1%
인공암벽장업 5
 
0.8%
Other values (2) 4
 
0.6%

상호
Text

Distinct597
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-12T13:03:21.688809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length8.1525974
Min length2

Characters and Unicode

Total characters5022
Distinct characters425
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

Unique579 ?
Unique (%)94.0%

Sample

1st row안양숲 골프
2nd row갤러리골프아카데미
3rd row(주)비즈스크린
4th row프렌즈스크린 안양점(동양)
5th row안양새마을금고
ValueCountFrequency (%)
태권도장 33
 
3.1%
당구클럽 28
 
2.6%
당구장 27
 
2.5%
휘트니스 12
 
1.1%
경희대 12
 
1.1%
골프 8
 
0.7%
피트니스 8
 
0.7%
스크린골프 7
 
0.7%
gym 7
 
0.7%
평촌점 7
 
0.7%
Other values (717) 918
86.0%
2023-12-12T13:03:22.186232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
453
 
9.0%
스 217
 
4.3%
장 150
 
3.0%
구 139
 
2.8%
당 132
 
2.6%
도 126
 
2.5%
프 122
 
2.4%
골 108
 
2.2%
클 96
 
1.9%
태 96
 
1.9%
Other values (415) 3383
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4003
79.7%
Space Separator 453
 
9.0%
Uppercase Letter 330
 
6.6%
Lowercase Letter 106
 
2.1%
Decimal Number 46
 
0.9%
Close Punctuation 31
 
0.6%
Open Punctuation 30
 
0.6%
Other Punctuation 15
 
0.3%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 217
 
5.4%
장 150
 
3.7%
구 139
 
3.5%
당 132
 
3.3%
도 126
 
3.1%
프 122
 
3.0%
골 108
 
2.7%
클 96
 
2.4%
태 96
 
2.4%
권 95
 
2.4%
Other values (351) 2722
68.0%
Uppercase Letter
ValueCountFrequency (%)
T 34
 
10.3%
G 24
 
7.3%
M 24
 
7.3%
S 23
 
7.0%
I 20
 
6.1%
E 19
 
5.8%
B 19
 
5.8%
A 18
 
5.5%
J 16
 
4.8%
F 15
 
4.5%
Other values (15) 118
35.8%
Lowercase Letter
ValueCountFrequency (%)
i 11
 
10.4%
n 9
 
8.5%
e 9
 
8.5%
m 9
 
8.5%
y 8
 
7.5%
r 7
 
6.6%
s 7
 
6.6%
t 6
 
5.7%
f 5
 
4.7%
g 5
 
4.7%
Other values (11) 30
28.3%
Decimal Number
ValueCountFrequency (%)
1 12
26.1%
2 8
17.4%
9 8
17.4%
3 5
10.9%
4 4
 
8.7%
8 4
 
8.7%
0 2
 
4.3%
5 1
 
2.2%
6 1
 
2.2%
7 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 8
53.3%
& 5
33.3%
/ 1
 
6.7%
· 1
 
6.7%
Space Separator
ValueCountFrequency (%)
453
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4003
79.7%
Common 583
 
11.6%
Latin 436
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 217
 
5.4%
장 150
 
3.7%
구 139
 
3.5%
당 132
 
3.3%
도 126
 
3.1%
프 122
 
3.0%
골 108
 
2.7%
클 96
 
2.4%
태 96
 
2.4%
권 95
 
2.4%
Other values (351) 2722
68.0%
Latin
ValueCountFrequency (%)
T 34
 
7.8%
G 24
 
5.5%
M 24
 
5.5%
S 23
 
5.3%
I 20
 
4.6%
E 19
 
4.4%
B 19
 
4.4%
A 18
 
4.1%
J 16
 
3.7%
F 15
 
3.4%
Other values (36) 224
51.4%
Common
ValueCountFrequency (%)
453
77.7%
) 31
 
5.3%
( 30
 
5.1%
1 12
 
2.1%
. 8
 
1.4%
2 8
 
1.4%
9 8
 
1.4%
- 8
 
1.4%
3 5
 
0.9%
& 5
 
0.9%
Other values (8) 15
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4003
79.7%
ASCII 1018
 
20.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
453
44.5%
T 34
 
3.3%
) 31
 
3.0%
( 30
 
2.9%
G 24
 
2.4%
M 24
 
2.4%
S 23
 
2.3%
I 20
 
2.0%
E 19
 
1.9%
B 19
 
1.9%
Other values (53) 341
33.5%
Hangul
ValueCountFrequency (%)
스 217
 
5.4%
장 150
 
3.7%
구 139
 
3.5%
당 132
 
3.3%
도 126
 
3.1%
프 122
 
3.0%
골 108
 
2.7%
클 96
 
2.4%
태 96
 
2.4%
권 95
 
2.4%
Other values (351) 2722
68.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지
Text

Distinct605
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-12T13:03:22.498888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length53
Mean length36.899351
Min length12

Characters and Unicode

Total characters22730
Distinct characters307
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

Unique594 ?
Unique (%)96.4%

Sample

1st row경기도 안양시 만안구 병목안로 292, 나동 지하1층 (안양동)
2nd row경기도 안양시 만안구 전파로44번길 57, 두산명학 아너비즈타워 지하층 121,122호 (안양동)
3rd row경기도 안양시 만안구 덕천로152번길 25, 안양아이에스BIZ타워센트럴 323호 (안양동)
4th row경기도 안양시 만안구 만안로 108, 209호 (안양동)
5th row경기도 안양시 만안구 소곡로 78, 상가 1동 107호 (안양동, 안양씨엘포레자이)
ValueCountFrequency (%)
경기도 615
 
12.8%
안양시 615
 
12.8%
동안구 395
 
8.2%
만안구 220
 
4.6%
관양동 146
 
3.0%
안양동 143
 
3.0%
호계동 118
 
2.5%
2층 104
 
2.2%
3층 78
 
1.6%
비산동 74
 
1.5%
Other values (913) 2283
47.7%
2023-12-12T13:03:23.048490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4175
 
18.4%
안 1547
 
6.8%
동 1114
 
4.9%
양 1009
 
4.4%
, 790
 
3.5%
경 689
 
3.0%
1 675
 
3.0%
시 659
 
2.9%
로 622
 
2.7%
도 621
 
2.7%
Other values (297) 10829
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12834
56.5%
Space Separator 4175
 
18.4%
Decimal Number 3515
 
15.5%
Other Punctuation 795
 
3.5%
Close Punctuation 616
 
2.7%
Open Punctuation 616
 
2.7%
Uppercase Letter 96
 
0.4%
Dash Punctuation 46
 
0.2%
Math Symbol 26
 
0.1%
Lowercase Letter 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 1547
 
12.1%
동 1114
 
8.7%
양 1009
 
7.9%
경 689
 
5.4%
시 659
 
5.1%
로 622
 
4.8%
도 621
 
4.8%
구 617
 
4.8%
기 616
 
4.8%
층 399
 
3.1%
Other values (251) 4941
38.5%
Uppercase Letter
ValueCountFrequency (%)
B 48
50.0%
A 7
 
7.3%
W 6
 
6.2%
C 5
 
5.2%
D 4
 
4.2%
E 3
 
3.1%
I 3
 
3.1%
Z 3
 
3.1%
O 3
 
3.1%
P 2
 
2.1%
Other values (9) 12
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 675
19.2%
2 609
17.3%
3 495
14.1%
0 435
12.4%
4 387
11.0%
5 247
 
7.0%
7 198
 
5.6%
9 159
 
4.5%
6 158
 
4.5%
8 152
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
b 3
27.3%
m 1
 
9.1%
c 1
 
9.1%
s 1
 
9.1%
o 1
 
9.1%
t 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 790
99.4%
. 2
 
0.3%
& 1
 
0.1%
' 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4175
100.0%
Close Punctuation
ValueCountFrequency (%)
) 616
100.0%
Open Punctuation
ValueCountFrequency (%)
( 616
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12834
56.5%
Common 9789
43.1%
Latin 107
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1547
 
12.1%
동 1114
 
8.7%
양 1009
 
7.9%
경 689
 
5.4%
시 659
 
5.1%
로 622
 
4.8%
도 621
 
4.8%
구 617
 
4.8%
기 616
 
4.8%
층 399
 
3.1%
Other values (251) 4941
38.5%
Latin
ValueCountFrequency (%)
B 48
44.9%
A 7
 
6.5%
W 6
 
5.6%
C 5
 
4.7%
D 4
 
3.7%
e 3
 
2.8%
b 3
 
2.8%
E 3
 
2.8%
I 3
 
2.8%
Z 3
 
2.8%
Other values (16) 22
20.6%
Common
ValueCountFrequency (%)
4175
42.6%
, 790
 
8.1%
1 675
 
6.9%
) 616
 
6.3%
( 616
 
6.3%
2 609
 
6.2%
3 495
 
5.1%
0 435
 
4.4%
4 387
 
4.0%
5 247
 
2.5%
Other values (10) 744
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12834
56.5%
ASCII 9896
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4175
42.2%
, 790
 
8.0%
1 675
 
6.8%
) 616
 
6.2%
( 616
 
6.2%
2 609
 
6.2%
3 495
 
5.0%
0 435
 
4.4%
4 387
 
3.9%
5 247
 
2.5%
Other values (36) 851
 
8.6%
Hangul
ValueCountFrequency (%)
안 1547
 
12.1%
동 1114
 
8.7%
양 1009
 
7.9%
경 689
 
5.4%
시 659
 
5.1%
로 622
 
4.8%
도 621
 
4.8%
구 617
 
4.8%
기 616
 
4.8%
층 399
 
3.1%
Other values (251) 4941
38.5%

전화번호
Text

MISSING 

Distinct391
Distinct (%)97.8%
Missing216
Missing (%)35.1%
Memory size4.9 KiB
2023-12-12T13:03:23.358498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.0125
Min length8

Characters and Unicode

Total characters4805
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

Unique382 ?
Unique (%)95.5%

Sample

1st row031-466-9987
2nd row031-5177-6543
3rd row031-460-0074
4th row031-444-6600
5th row031-473-5678
ValueCountFrequency (%)
031-386-3800 2
 
0.5%
031-478-9511 2
 
0.5%
031-382-1777 2
 
0.5%
031-421-8840 2
 
0.5%
031-450-3669 2
 
0.5%
031-425-6995 2
 
0.5%
031-427-6712 2
 
0.5%
031-441-1277 2
 
0.5%
031-479-6081 2
 
0.5%
031-422-8422 1
 
0.2%
Other values (381) 381
95.2%
2023-12-12T13:03:23.885998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 798
16.6%
3 685
14.3%
0 639
13.3%
1 592
12.3%
4 531
11.1%
8 304
 
6.3%
2 280
 
5.8%
7 278
 
5.8%
9 240
 
5.0%
5 232
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4007
83.4%
Dash Punctuation 798
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 685
17.1%
0 639
15.9%
1 592
14.8%
4 531
13.3%
8 304
7.6%
2 280
7.0%
7 278
6.9%
9 240
 
6.0%
5 232
 
5.8%
6 226
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 798
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4805
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 798
16.6%
3 685
14.3%
0 639
13.3%
1 592
12.3%
4 531
11.1%
8 304
 
6.3%
2 280
 
5.8%
7 278
 
5.8%
9 240
 
5.0%
5 232
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4805
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 798
16.6%
3 685
14.3%
0 639
13.3%
1 592
12.3%
4 531
11.1%
8 304
 
6.3%
2 280
 
5.8%
7 278
 
5.8%
9 240
 
5.0%
5 232
 
4.8%

Missing values

2023-12-12T13:03:21.112417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:03:21.217067image/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

업종상호소재지전화번호
0가상체험 체육시설업안양숲 골프경기도 안양시 만안구 병목안로 292, 나동 지하1층 (안양동)031-466-9987
1가상체험 체육시설업갤러리골프아카데미경기도 안양시 만안구 전파로44번길 57, 두산명학 아너비즈타워 지하층 121,122호 (안양동)031-5177-6543
2가상체험 체육시설업(주)비즈스크린경기도 안양시 만안구 덕천로152번길 25, 안양아이에스BIZ타워센트럴 323호 (안양동)031-460-0074
3가상체험 체육시설업프렌즈스크린 안양점(동양)경기도 안양시 만안구 만안로 108, 209호 (안양동)031-444-6600
4가상체험 체육시설업안양새마을금고경기도 안양시 만안구 소곡로 78, 상가 1동 107호 (안양동, 안양씨엘포레자이)<NA>
5가상체험 체육시설업KJ스크린경기도 안양시 만안구 석천로171번길 20, A동 50-55,71-73호 (석수동)031-473-5678
6가상체험 체육시설업(주)에스앤에이치 행복골프훈련소 안양점경기도 안양시 만안구 박달로 476, 대원빌딩 401호 (박달동)031-466-0772
7골프연습장업안양위너스골프클럽경기도 안양시 만안구 엘에스로 236, 외2필지동 (안양동)031-429-7800
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