Overview

Dataset statistics

Number of variables3
Number of observations113
Missing cells56
Missing cells (%)16.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory25.2 B

Variable types

Text3

Dataset

Description인천광역시 체력단련장 현황입니다.(업종,상호,시설주소(도로명),시설전화번호)ex) 체력단련장업,프로헬스피아,인천광역시 부평구 부평문화로 164 (부개동, 청오빌딩),032-361-6625
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15083691

Alerts

시설전화번호 has 56 (49.6%) missing valuesMissing
상호 has unique valuesUnique
시설주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:02:25.865484
Analysis finished2024-01-28 09:02:26.159629
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-28T18:02:26.341455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length7.699115
Min length2

Characters and Unicode

Total characters870
Distinct characters219
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)100.0%

Sample

1st row에이짐 헬스케어
2nd row부평중앙신용협동조합헬쓰
3rd row헬스나라
4th row원경식헬스
5th row동암휘트니스
ValueCountFrequency (%)
gym 8
 
4.4%
피트니스 4
 
2.2%
휘트니스 4
 
2.2%
부평점 4
 
2.2%
주)케이디스포츠 3
 
1.6%
스포애니 3
 
1.6%
주식회사 3
 
1.6%
헬스클럽 3
 
1.6%
크로스핏 2
 
1.1%
부평시장점 2
 
1.1%
Other values (144) 147
80.3%
2024-01-28T18:02:26.673544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
8.0%
스 57
 
6.6%
트 37
 
4.3%
짐 36
 
4.1%
니 28
 
3.2%
이 20
 
2.3%
휘 19
 
2.2%
T 18
 
2.1%
점 16
 
1.8%
부 15
 
1.7%
Other values (209) 554
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 633
72.8%
Uppercase Letter 104
 
12.0%
Space Separator 70
 
8.0%
Lowercase Letter 31
 
3.6%
Decimal Number 16
 
1.8%
Close Punctuation 8
 
0.9%
Open Punctuation 5
 
0.6%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 57
 
9.0%
트 37
 
5.8%
짐 36
 
5.7%
니 28
 
4.4%
이 20
 
3.2%
휘 19
 
3.0%
점 16
 
2.5%
부 15
 
2.4%
헬 14
 
2.2%
디 14
 
2.2%
Other values (163) 377
59.6%
Uppercase Letter
ValueCountFrequency (%)
T 18
17.3%
M 12
11.5%
G 12
11.5%
P 12
11.5%
Y 10
9.6%
U 6
 
5.8%
S 5
 
4.8%
J 4
 
3.8%
H 4
 
3.8%
I 3
 
2.9%
Other values (10) 18
17.3%
Lowercase Letter
ValueCountFrequency (%)
o 5
16.1%
y 3
9.7%
r 3
9.7%
n 3
9.7%
h 2
 
6.5%
i 2
 
6.5%
s 2
 
6.5%
g 2
 
6.5%
m 2
 
6.5%
t 2
 
6.5%
Other values (5) 5
16.1%
Decimal Number
ValueCountFrequency (%)
4 5
31.2%
1 3
18.8%
2 3
18.8%
0 2
 
12.5%
3 2
 
12.5%
9 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 633
72.8%
Latin 135
 
15.5%
Common 102
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 57
 
9.0%
트 37
 
5.8%
짐 36
 
5.7%
니 28
 
4.4%
이 20
 
3.2%
휘 19
 
3.0%
점 16
 
2.5%
부 15
 
2.4%
헬 14
 
2.2%
디 14
 
2.2%
Other values (163) 377
59.6%
Latin
ValueCountFrequency (%)
T 18
 
13.3%
M 12
 
8.9%
G 12
 
8.9%
P 12
 
8.9%
Y 10
 
7.4%
U 6
 
4.4%
o 5
 
3.7%
S 5
 
3.7%
J 4
 
3.0%
H 4
 
3.0%
Other values (25) 47
34.8%
Common
ValueCountFrequency (%)
70
68.6%
) 8
 
7.8%
4 5
 
4.9%
( 5
 
4.9%
1 3
 
2.9%
2 3
 
2.9%
0 2
 
2.0%
. 2
 
2.0%
3 2
 
2.0%
9 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 633
72.8%
ASCII 237
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
29.5%
T 18
 
7.6%
M 12
 
5.1%
G 12
 
5.1%
P 12
 
5.1%
Y 10
 
4.2%
) 8
 
3.4%
U 6
 
2.5%
4 5
 
2.1%
o 5
 
2.1%
Other values (36) 79
33.3%
Hangul
ValueCountFrequency (%)
스 57
 
9.0%
트 37
 
5.8%
짐 36
 
5.7%
니 28
 
4.4%
이 20
 
3.2%
휘 19
 
3.0%
점 16
 
2.5%
부 15
 
2.4%
헬 14
 
2.2%
디 14
 
2.2%
Other values (163) 377
59.6%

시설주소(도로명)
Text

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-28T18:02:26.933111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length33.336283
Min length22

Characters and Unicode

Total characters3767
Distinct characters170
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

Unique113 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 평천로 314 (갈산동, 삼덕빌딩)
2nd row인천광역시 부평구 부흥로 318 (부평동)
3rd row인천광역시 부평구 안남로 181 (산곡동, 총재빌딩)
4th row인천광역시 부평구 수변로52번길 6 (부개동, 성일아파트)
5th row인천광역시 부평구 열우물로 44 (십정동)
ValueCountFrequency (%)
인천광역시 113
 
14.8%
부평구 113
 
14.8%
부평동 44
 
5.8%
삼산동 18
 
2.4%
부개동 18
 
2.4%
2층 15
 
2.0%
3층 14
 
1.8%
4층 12
 
1.6%
부평대로 12
 
1.6%
지하1층 12
 
1.6%
Other values (264) 393
51.4%
2024-01-28T18:02:27.317851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
651
 
17.3%
부 220
 
5.8%
평 186
 
4.9%
동 136
 
3.6%
천 129
 
3.4%
, 127
 
3.4%
로 116
 
3.1%
인 116
 
3.1%
시 116
 
3.1%
광 114
 
3.0%
Other values (160) 1856
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2212
58.7%
Space Separator 651
 
17.3%
Decimal Number 531
 
14.1%
Other Punctuation 127
 
3.4%
Close Punctuation 113
 
3.0%
Open Punctuation 113
 
3.0%
Uppercase Letter 7
 
0.2%
Dash Punctuation 5
 
0.1%
Lowercase Letter 4
 
0.1%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 220
 
9.9%
평 186
 
8.4%
동 136
 
6.1%
천 129
 
5.8%
로 116
 
5.2%
인 116
 
5.2%
시 116
 
5.2%
광 114
 
5.2%
구 113
 
5.1%
역 113
 
5.1%
Other values (136) 853
38.6%
Decimal Number
ValueCountFrequency (%)
1 109
20.5%
2 80
15.1%
4 72
13.6%
3 67
12.6%
0 42
 
7.9%
8 39
 
7.3%
5 39
 
7.3%
6 34
 
6.4%
9 26
 
4.9%
7 23
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
t 1
25.0%
y 1
25.0%
i 1
25.0%
c 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
71.4%
A 1
 
14.3%
M 1
 
14.3%
Space Separator
ValueCountFrequency (%)
651
100.0%
Other Punctuation
ValueCountFrequency (%)
, 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2212
58.7%
Common 1542
40.9%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 220
 
9.9%
평 186
 
8.4%
동 136
 
6.1%
천 129
 
5.8%
로 116
 
5.2%
인 116
 
5.2%
시 116
 
5.2%
광 114
 
5.2%
구 113
 
5.1%
역 113
 
5.1%
Other values (136) 853
38.6%
Common
ValueCountFrequency (%)
651
42.2%
, 127
 
8.2%
) 113
 
7.3%
( 113
 
7.3%
1 109
 
7.1%
2 80
 
5.2%
4 72
 
4.7%
3 67
 
4.3%
0 42
 
2.7%
8 39
 
2.5%
Other values (6) 129
 
8.4%
Latin
ValueCountFrequency (%)
B 5
38.5%
Ⅱ 2
 
15.4%
t 1
 
7.7%
y 1
 
7.7%
i 1
 
7.7%
c 1
 
7.7%
A 1
 
7.7%
M 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2212
58.7%
ASCII 1553
41.2%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
651
41.9%
, 127
 
8.2%
) 113
 
7.3%
( 113
 
7.3%
1 109
 
7.0%
2 80
 
5.2%
4 72
 
4.6%
3 67
 
4.3%
0 42
 
2.7%
8 39
 
2.5%
Other values (13) 140
 
9.0%
Hangul
ValueCountFrequency (%)
부 220
 
9.9%
평 186
 
8.4%
동 136
 
6.1%
천 129
 
5.8%
로 116
 
5.2%
인 116
 
5.2%
시 116
 
5.2%
광 114
 
5.2%
구 113
 
5.1%
역 113
 
5.1%
Other values (136) 853
38.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

시설전화번호
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing56
Missing (%)49.6%
Memory size1.0 KiB
2024-01-28T18:02:27.525076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.087719
Min length12

Characters and Unicode

Total characters689
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

Unique57 ?
Unique (%)100.0%

Sample

1st row032-502-1779
2nd row032-527-2750
3rd row032-523-3604
4th row032-505-5222
5th row032-516-0540
ValueCountFrequency (%)
032-525-1235 1
 
1.8%
032-525-8883 1
 
1.8%
032-502-4102 1
 
1.8%
032-517-2114 1
 
1.8%
032-361-1535 1
 
1.8%
032-511-0418 1
 
1.8%
032-502-0858 1
 
1.8%
032-503-9618 1
 
1.8%
032-511-6060 1
 
1.8%
032-361-5820 1
 
1.8%
Other values (47) 47
82.5%
2024-01-28T18:02:27.830349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
16.5%
0 107
15.5%
2 101
14.7%
3 97
14.1%
5 63
9.1%
1 50
7.3%
8 35
 
5.1%
4 33
 
4.8%
6 32
 
4.6%
9 29
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 575
83.5%
Dash Punctuation 114
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 107
18.6%
2 101
17.6%
3 97
16.9%
5 63
11.0%
1 50
8.7%
8 35
 
6.1%
4 33
 
5.7%
6 32
 
5.6%
9 29
 
5.0%
7 28
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 689
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
16.5%
0 107
15.5%
2 101
14.7%
3 97
14.1%
5 63
9.1%
1 50
7.3%
8 35
 
5.1%
4 33
 
4.8%
6 32
 
4.6%
9 29
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
16.5%
0 107
15.5%
2 101
14.7%
3 97
14.1%
5 63
9.1%
1 50
7.3%
8 35
 
5.1%
4 33
 
4.8%
6 32
 
4.6%
9 29
 
4.2%

Missing values

2024-01-28T18:02:26.065634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:02:26.134992image/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

상호시설주소(도로명)시설전화번호
0에이짐 헬스케어인천광역시 부평구 평천로 314 (갈산동, 삼덕빌딩)032-502-1779
1부평중앙신용협동조합헬쓰인천광역시 부평구 부흥로 318 (부평동)<NA>
2헬스나라인천광역시 부평구 안남로 181 (산곡동, 총재빌딩)032-527-2750
3원경식헬스인천광역시 부평구 수변로52번길 6 (부개동, 성일아파트)032-523-3604
4동암휘트니스인천광역시 부평구 열우물로 44 (십정동)<NA>
5바디트랜스짐(부개점)인천광역시 부평구 동수로128번길 11 (부개동, 주화빌딩)<NA>
6킹 휘트니스인천광역시 부평구 영성서로 37, 메디칼센타 5층 (삼산동)032-505-5222
7청천새마을금고 헬스클럽인천광역시 부평구 세월천로 29 (청천동)<NA>
8UR GYM인천광역시 부평구 길주남로 113, 3층 (부개동)<NA>
9메디아나짐인천광역시 부평구 경원대로 1286, 부평메디아나센터 8층 (부평동)032-516-0540
상호시설주소(도로명)시설전화번호
103CrossFit Hold High JINKS인천광역시 부평구 세월천로 35, 명성월드프라자 2층 (청천동)<NA>
104마이트피트니스인천광역시 부평구 마장로 412, 1동 B02호 (청천동)032-525-1112
105마스터PT 운동과학센터인천광역시 부평구 동수천로 74, 2층 (부개동)<NA>
106주식회사 제이엠에스인천광역시 부평구 충선로203번길 24, 삼산프라자 8층 (삼산동)032-512-9663
107크로스핏 굴포천인천광역시 부평구 길주남로 67, 지하1층 (부평동)<NA>
108포웨이짐 부평점인천광역시 부평구 경원대로1403번길 33, 뉴월드프라자 11층 (부평동)<NA>
1093세트짐 부평본점인천광역시 부평구 경원대로 1404, 그랑프리 빌딩 10층 1003호 (부평동)<NA>
110마이트짐인천광역시 부평구 마장로 412, 드림아이젠 1동 지하1층 01호 (청천동)<NA>
111헬린이학교인천광역시 부평구 부평문화로 18, 새한빌딩 2층 (부평동)032-710-1174
112바디온짐인천광역시 부평구 경인로 948, 유성메디칼프라자 8층 (부평동)<NA>