Overview

Dataset statistics

Number of variables6
Number of observations317
Missing cells167
Missing cells (%)8.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory48.4 B

Variable types

Categorical3
Text3

Dataset

Description성남시 내 위치한 체력단련장 데이터로, 구별, 동별, 상호명, 소재지도로명주소, 연락처 등의 항목으로 구성되어 있습니다
URLhttps://www.data.go.kr/data/3078606/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구별 is highly overall correlated with 동별High correlation
동별 is highly overall correlated with 구별High correlation
전화번호 has 167 (52.7%) missing valuesMissing
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:30:16.968459
Analysis finished2023-12-12 16:30:17.598442
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
분당구
208 
수정구
58 
중원구
51 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분당구 208
65.6%
수정구 58
 
18.3%
중원구 51
 
16.1%

Length

2023-12-13T01:30:17.663176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:30:17.762308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 208
65.6%
수정구 58
 
18.3%
중원구 51
 
16.1%

동별
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
정자동
37 
서현동
33 
야탑동
27 
수내동
25 
창곡동
20 
Other values (26)
175 

Length

Max length4
Median length3
Mean length3.0283912
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row신흥동
2nd row수진동
3rd row태평동
4th row수진동
5th row태평동

Common Values

ValueCountFrequency (%)
정자동 37
 
11.7%
서현동 33
 
10.4%
야탑동 27
 
8.5%
수내동 25
 
7.9%
창곡동 20
 
6.3%
금광동 16
 
5.0%
금곡동 16
 
5.0%
구미동 16
 
5.0%
삼평동 15
 
4.7%
신흥동 11
 
3.5%
Other values (21) 101
31.9%

Length

2023-12-13T01:30:17.928038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정자동 37
 
11.7%
서현동 33
 
10.4%
야탑동 27
 
8.5%
수내동 25
 
7.9%
창곡동 20
 
6.3%
금광동 16
 
5.0%
금곡동 16
 
5.0%
구미동 16
 
5.0%
삼평동 15
 
4.7%
신흥동 11
 
3.5%
Other values (21) 101
31.9%

상호명
Text

Distinct309
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-13T01:30:18.269942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length25
Mean length8.8958991
Min length2

Characters and Unicode

Total characters2820
Distinct characters340
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

Unique301 ?
Unique (%)95.0%

Sample

1st row라이프타임 휘트니스클럽(종합시장점)
2nd row메타짐 수진점
3rd row헬스매니아
4th row헬스메카 태평역점
5th row타운헬스
ValueCountFrequency (%)
휘트니스 18
 
3.2%
gym 11
 
1.9%
pt 9
 
1.6%
피트니스 8
 
1.4%
피티 6
 
1.1%
fit 5
 
0.9%
studio 5
 
0.9%
크로스핏 5
 
0.9%
주)케이디스포츠 4
 
0.7%
필라테스 4
 
0.7%
Other values (413) 494
86.8%
2023-12-13T01:30:18.756212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
 
8.9%
스 179
 
6.3%
트 91
 
3.2%
이 80
 
2.8%
짐 80
 
2.8%
니 71
 
2.5%
점 59
 
2.1%
T 49
 
1.7%
휘 47
 
1.7%
라 42
 
1.5%
Other values (330) 1870
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1843
65.4%
Uppercase Letter 406
 
14.4%
Space Separator 252
 
8.9%
Lowercase Letter 188
 
6.7%
Close Punctuation 37
 
1.3%
Open Punctuation 33
 
1.2%
Decimal Number 31
 
1.1%
Other Punctuation 19
 
0.7%
Dash Punctuation 9
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 179
 
9.7%
트 91
 
4.9%
이 80
 
4.3%
짐 80
 
4.3%
니 71
 
3.9%
점 59
 
3.2%
휘 47
 
2.6%
라 42
 
2.3%
피 40
 
2.2%
핏 36
 
2.0%
Other values (267) 1118
60.7%
Uppercase Letter
ValueCountFrequency (%)
T 49
 
12.1%
P 31
 
7.6%
M 29
 
7.1%
A 26
 
6.4%
O 25
 
6.2%
F 23
 
5.7%
I 23
 
5.7%
S 22
 
5.4%
G 21
 
5.2%
Y 20
 
4.9%
Other values (15) 137
33.7%
Lowercase Letter
ValueCountFrequency (%)
i 19
10.1%
e 19
10.1%
t 18
 
9.6%
o 16
 
8.5%
n 14
 
7.4%
m 13
 
6.9%
r 12
 
6.4%
a 11
 
5.9%
y 11
 
5.9%
s 10
 
5.3%
Other values (13) 45
23.9%
Decimal Number
ValueCountFrequency (%)
2 9
29.0%
1 6
19.4%
3 5
16.1%
5 4
12.9%
4 3
 
9.7%
9 2
 
6.5%
0 2
 
6.5%
Other Punctuation
ValueCountFrequency (%)
& 13
68.4%
. 6
31.6%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
252
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1843
65.4%
Latin 594
 
21.1%
Common 383
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 179
 
9.7%
트 91
 
4.9%
이 80
 
4.3%
짐 80
 
4.3%
니 71
 
3.9%
점 59
 
3.2%
휘 47
 
2.6%
라 42
 
2.3%
피 40
 
2.2%
핏 36
 
2.0%
Other values (267) 1118
60.7%
Latin
ValueCountFrequency (%)
T 49
 
8.2%
P 31
 
5.2%
M 29
 
4.9%
A 26
 
4.4%
O 25
 
4.2%
F 23
 
3.9%
I 23
 
3.9%
S 22
 
3.7%
G 21
 
3.5%
Y 20
 
3.4%
Other values (38) 325
54.7%
Common
ValueCountFrequency (%)
252
65.8%
) 37
 
9.7%
( 33
 
8.6%
& 13
 
3.4%
- 9
 
2.3%
2 9
 
2.3%
. 6
 
1.6%
1 6
 
1.6%
3 5
 
1.3%
5 4
 
1.0%
Other values (5) 9
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1843
65.4%
ASCII 977
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
25.8%
T 49
 
5.0%
) 37
 
3.8%
( 33
 
3.4%
P 31
 
3.2%
M 29
 
3.0%
A 26
 
2.7%
O 25
 
2.6%
F 23
 
2.4%
I 23
 
2.4%
Other values (53) 449
46.0%
Hangul
ValueCountFrequency (%)
스 179
 
9.7%
트 91
 
4.9%
이 80
 
4.3%
짐 80
 
4.3%
니 71
 
3.9%
점 59
 
3.2%
휘 47
 
2.6%
라 42
 
2.3%
피 40
 
2.2%
핏 36
 
2.0%
Other values (267) 1118
60.7%

소재지도로명주소
Text

UNIQUE 

Distinct317
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-13T01:30:19.055641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length54
Mean length39.782334
Min length24

Characters and Unicode

Total characters12611
Distinct characters303
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique317 ?
Unique (%)100.0%

Sample

1st row경기도 성남시 수정구 산성대로 263, 4층 (신흥동)
2nd row경기도 성남시 수정구 수정로 140, 세민빌딩 4,5층 (수진동)
3rd row경기도 성남시 수정구 수정로 185, 4층,5층층 (태평동)
4th row경기도 성남시 수정구 성남대로1221번길 6 (수진동)
5th row경기도 성남시 수정구 공원로445번길 7, 지층 (태평동)
ValueCountFrequency (%)
경기도 317
 
12.4%
성남시 317
 
12.4%
분당구 208
 
8.2%
수정구 58
 
2.3%
중원구 51
 
2.0%
2층 30
 
1.2%
정자동 30
 
1.2%
지하1층 29
 
1.1%
서현동 29
 
1.1%
3층 27
 
1.1%
Other values (780) 1455
57.0%
2023-12-13T01:30:19.530740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2240
 
17.8%
1 487
 
3.9%
, 451
 
3.6%
성 393
 
3.1%
남 362
 
2.9%
동 360
 
2.9%
구 339
 
2.7%
시 331
 
2.6%
도 326
 
2.6%
로 326
 
2.6%
Other values (293) 6996
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7047
55.9%
Space Separator 2240
 
17.8%
Decimal Number 2107
 
16.7%
Other Punctuation 454
 
3.6%
Close Punctuation 319
 
2.5%
Open Punctuation 319
 
2.5%
Uppercase Letter 63
 
0.5%
Dash Punctuation 40
 
0.3%
Math Symbol 20
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 393
 
5.6%
남 362
 
5.1%
동 360
 
5.1%
구 339
 
4.8%
시 331
 
4.7%
도 326
 
4.6%
로 326
 
4.6%
경 322
 
4.6%
기 322
 
4.6%
분 226
 
3.2%
Other values (260) 3740
53.1%
Uppercase Letter
ValueCountFrequency (%)
B 34
54.0%
A 8
 
12.7%
C 5
 
7.9%
D 4
 
6.3%
I 3
 
4.8%
S 2
 
3.2%
Y 1
 
1.6%
M 1
 
1.6%
R 1
 
1.6%
H 1
 
1.6%
Other values (3) 3
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 487
23.1%
0 296
14.0%
2 278
13.2%
3 249
11.8%
4 197
9.3%
5 160
 
7.6%
6 145
 
6.9%
7 110
 
5.2%
8 105
 
5.0%
9 80
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 451
99.3%
. 2
 
0.4%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2240
100.0%
Close Punctuation
ValueCountFrequency (%)
) 319
100.0%
Open Punctuation
ValueCountFrequency (%)
( 319
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Letter Number
ValueCountFrequency (%)
Ⅴ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7047
55.9%
Common 5499
43.6%
Latin 65
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 393
 
5.6%
남 362
 
5.1%
동 360
 
5.1%
구 339
 
4.8%
시 331
 
4.7%
도 326
 
4.6%
로 326
 
4.6%
경 322
 
4.6%
기 322
 
4.6%
분 226
 
3.2%
Other values (260) 3740
53.1%
Common
ValueCountFrequency (%)
2240
40.7%
1 487
 
8.9%
, 451
 
8.2%
) 319
 
5.8%
( 319
 
5.8%
0 296
 
5.4%
2 278
 
5.1%
3 249
 
4.5%
4 197
 
3.6%
5 160
 
2.9%
Other values (8) 503
 
9.1%
Latin
ValueCountFrequency (%)
B 34
52.3%
A 8
 
12.3%
C 5
 
7.7%
D 4
 
6.2%
I 3
 
4.6%
S 2
 
3.1%
Y 1
 
1.5%
M 1
 
1.5%
R 1
 
1.5%
H 1
 
1.5%
Other values (5) 5
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7047
55.9%
ASCII 5563
44.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2240
40.3%
1 487
 
8.8%
, 451
 
8.1%
) 319
 
5.7%
( 319
 
5.7%
0 296
 
5.3%
2 278
 
5.0%
3 249
 
4.5%
4 197
 
3.5%
5 160
 
2.9%
Other values (22) 567
 
10.2%
Hangul
ValueCountFrequency (%)
성 393
 
5.6%
남 362
 
5.1%
동 360
 
5.1%
구 339
 
4.8%
시 331
 
4.7%
도 326
 
4.6%
로 326
 
4.6%
경 322
 
4.6%
기 322
 
4.6%
분 226
 
3.2%
Other values (260) 3740
53.1%
Number Forms
ValueCountFrequency (%)
Ⅴ 1
100.0%

전화번호
Text

MISSING 

Distinct144
Distinct (%)96.0%
Missing167
Missing (%)52.7%
Memory size2.6 KiB
2023-12-13T01:30:19.858610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02
Min length9

Characters and Unicode

Total characters1803
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

Unique139 ?
Unique (%)92.7%

Sample

1st row031-751-0130
2nd row031-722-6184
3rd row031-751-3979
4th row031-758-9920
5th row031-755-6713
ValueCountFrequency (%)
031-711-9428 3
 
2.0%
031-8017-0997 2
 
1.3%
031-706-3615 2
 
1.3%
031-8016-1103 2
 
1.3%
031-711-7696 2
 
1.3%
031-706-9618 1
 
0.7%
031-701-1110 1
 
0.7%
031-709-1558 1
 
0.7%
031-709-9633 1
 
0.7%
031-701-1565 1
 
0.7%
Other values (134) 134
89.3%
2023-12-13T01:30:20.344190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 295
16.4%
0 294
16.3%
1 275
15.3%
3 211
11.7%
7 204
11.3%
8 109
 
6.0%
2 99
 
5.5%
6 86
 
4.8%
5 85
 
4.7%
9 80
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1508
83.6%
Dash Punctuation 295
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 294
19.5%
1 275
18.2%
3 211
14.0%
7 204
13.5%
8 109
 
7.2%
2 99
 
6.6%
6 86
 
5.7%
5 85
 
5.6%
9 80
 
5.3%
4 65
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 295
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1803
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 295
16.4%
0 294
16.3%
1 275
15.3%
3 211
11.7%
7 204
11.3%
8 109
 
6.0%
2 99
 
5.5%
6 86
 
4.8%
5 85
 
4.7%
9 80
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1803
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 295
16.4%
0 294
16.3%
1 275
15.3%
3 211
11.7%
7 204
11.3%
8 109
 
6.0%
2 99
 
5.5%
6 86
 
4.8%
5 85
 
4.7%
9 80
 
4.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-06-19
317 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-19
2nd row2023-06-19
3rd row2023-06-19
4th row2023-06-19
5th row2023-06-19

Common Values

ValueCountFrequency (%)
2023-06-19 317
100.0%

Length

2023-12-13T01:30:20.520305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:30:20.631281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-19 317
100.0%

Correlations

2023-12-13T01:30:20.687800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별동별
구별1.0001.000
동별1.0001.000
2023-12-13T01:30:21.036295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별동별
구별1.0000.954
동별0.9541.000
2023-12-13T01:30:21.103983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별동별
구별1.0000.954
동별0.9541.000

Missing values

2023-12-13T01:30:17.424887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:30:17.558302image/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

구별동별상호명소재지도로명주소전화번호데이터기준일자
0수정구신흥동라이프타임 휘트니스클럽(종합시장점)경기도 성남시 수정구 산성대로 263, 4층 (신흥동)<NA>2023-06-19
1수정구수진동메타짐 수진점경기도 성남시 수정구 수정로 140, 세민빌딩 4,5층 (수진동)031-751-01302023-06-19
2수정구태평동헬스매니아경기도 성남시 수정구 수정로 185, 4층,5층층 (태평동)031-722-61842023-06-19
3수정구수진동헬스메카 태평역점경기도 성남시 수정구 성남대로1221번길 6 (수진동)031-751-39792023-06-19
4수정구태평동타운헬스경기도 성남시 수정구 공원로445번길 7, 지층 (태평동)031-758-99202023-06-19
5수정구신흥동정 헬스경기도 성남시 수정구 수정로 176, 3층 (신흥동)031-755-67132023-06-19
6수정구복정동넝쿨짐휘트니스클럽경기도 성남시 수정구 복정로 63-1, 3,4층 (복정동)031-755-93002023-06-19
7수정구수진동J휘트니스경기도 성남시 수정구 수정로 52 (수진동)031-752-52422023-06-19
8수정구신흥동비나이더 신흥점경기도 성남시 수정구 시민로 165, 지층 101호 (신흥동, 샤르망)031-736-40002023-06-19
9수정구산성동헬스타임경기도 성남시 수정구 수정로 350, 3층 (산성동)<NA>2023-06-19
구별동별상호명소재지도로명주소전화번호데이터기준일자
307분당구정자동핏틀리 우먼트레이닝센터(fitly women training center)경기도 성남시 분당구 황새울로108번길 9, 101호 (정자동)<NA>2023-06-19
308분당구정자동피티세븐 피트니스 1동경기도 성남시 분당구 황새울로132번길 22-1, 1층 및 지층 (정자동)031-711-94282023-06-19
309분당구정자동피티세븐 피트니스 2동경기도 성남시 분당구 황새울로132번길 24, 1층 및 지층 (정자동)031-711-94282023-06-19
310분당구정자동록키 프리미엄 피티(ROCKY PREMIUM PT)경기도 성남시 분당구 황새울로18번길 10, 1층 (정자동)031-608-39582023-06-19
311분당구판교동권스피트니스랩(Kwons Fitness Lab)경기도 성남시 분당구 서판교로 32, 2층 (판교동)031-701-02242023-06-19
312분당구판교동바디수경기도 성남시 분당구 서판교로44번길 15, 1층 (판교동)070-8802-90002023-06-19
313분당구판교동H-GYM 2호점경기도 성남시 분당구 운중로 233, 한솔프라자 302호 (판교동)<NA>2023-06-19
314분당구판교동웰리스짐경기도 성남시 분당구 운중로 253, 티에스로드1 3층 (판교동)8016-66032023-06-19
315분당구판교동153 gym경기도 성남시 분당구 운중로243번길 4-5, 4층 (판교동)031-8016-11032023-06-19
316분당구판교동레조나헬스랩경기도 성남시 분당구 판교공원로2길 9, 하진빌딩 4층 (판교동)031-8016-11032023-06-19