Overview

Dataset statistics

Number of variables9
Number of observations120
Missing cells74
Missing cells (%)6.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory74.1 B

Variable types

Numeric1
Categorical3
Text5

Dataset

Description본 공공데이터는 전라북도 완주군에 위치한 체육 업종에 관한 데이터로 업종, 주소, 전화번호, 면적 등의 정보를 제공하고 있습니다.
Author전라북도 완주군
URLhttps://www.data.go.kr/data/3076579/fileData.do

Alerts

영업구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
시설전화번호 has 74 (61.7%) missing valuesMissing
연번 has unique valuesUnique
신고번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:52:41.786596
Analysis finished2024-03-14 14:52:43.355519
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.5
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T23:52:43.568598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.95
Q130.75
median60.5
Q390.25
95-th percentile114.05
Maximum120
Range119
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation34.785054
Coefficient of variation (CV)0.57495957
Kurtosis-1.2
Mean60.5
Median Absolute Deviation (MAD)30
Skewness0
Sum7260
Variance1210
MonotonicityStrictly increasing
2024-03-14T23:52:44.027234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
62 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
Other values (110) 110
91.7%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%

업종
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
체육도장업
30 
당구장업
26 
골프연습장업
24 
체력단련장업
17 
가상체험 체육시설업
12 
Other values (5)
11 

Length

Max length10
Median length7
Mean length5.6166667
Min length4

Unique

Unique4 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 30
25.0%
당구장업 26
21.7%
골프연습장업 24
20.0%
체력단련장업 17
14.2%
가상체험 체육시설업 12
 
10.0%
체육교습업 7
 
5.8%
수영장업 1
 
0.8%
볼링장업 1
 
0.8%
썰매장업 1
 
0.8%
종합체육시설업 1
 
0.8%

Length

2024-03-14T23:52:44.472485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:52:44.864496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 30
22.7%
당구장업 26
19.7%
골프연습장업 24
18.2%
체력단련장업 17
12.9%
가상체험 12
 
9.1%
체육시설업 12
 
9.1%
체육교습업 7
 
5.3%
수영장업 1
 
0.8%
볼링장업 1
 
0.8%
썰매장업 1
 
0.8%

신고번호
Text

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T23:52:46.245950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters2040
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

Unique120 ?
Unique (%)100.0%

Sample

1st row30101-2018-000001
2nd row30102-1981-000001
3rd row30102-1987-000001
4th row30102-1991-000001
5th row30102-1994-000001
ValueCountFrequency (%)
30101-2018-000001 1
 
0.8%
30102-1981-000001 1
 
0.8%
30108-2017-000001 1
 
0.8%
30108-2016-000003 1
 
0.8%
30108-2016-000002 1
 
0.8%
30108-2016-000001 1
 
0.8%
30108-2015-000001 1
 
0.8%
30108-2014-000003 1
 
0.8%
30108-2014-000002 1
 
0.8%
30108-2014-000001 1
 
0.8%
Other values (110) 110
91.7%
2024-03-14T23:52:47.583198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 956
46.9%
1 260
 
12.7%
2 246
 
12.1%
- 240
 
11.8%
3 162
 
7.9%
8 53
 
2.6%
5 36
 
1.8%
6 31
 
1.5%
9 28
 
1.4%
4 18
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1800
88.2%
Dash Punctuation 240
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 956
53.1%
1 260
 
14.4%
2 246
 
13.7%
3 162
 
9.0%
8 53
 
2.9%
5 36
 
2.0%
6 31
 
1.7%
9 28
 
1.6%
4 18
 
1.0%
7 10
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2040
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 956
46.9%
1 260
 
12.7%
2 246
 
12.1%
- 240
 
11.8%
3 162
 
7.9%
8 53
 
2.6%
5 36
 
1.8%
6 31
 
1.5%
9 28
 
1.4%
4 18
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 956
46.9%
1 260
 
12.7%
2 246
 
12.1%
- 240
 
11.8%
3 162
 
7.9%
8 53
 
2.6%
5 36
 
1.8%
6 31
 
1.5%
9 28
 
1.4%
4 18
 
0.9%

상호
Text

Distinct118
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T23:52:48.853395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.15
Min length3

Characters and Unicode

Total characters978
Distinct characters227
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)96.7%

Sample

1st row위너키즈
2nd row봉동체육관
3rd row블로우핏
4th row이서태권도장
5th row삼례종합체육관
ValueCountFrequency (%)
당구클럽 4
 
2.1%
태권도 4
 
2.1%
아카데미 3
 
1.6%
골프 3
 
1.6%
스크린 3
 
1.6%
케이탑태권도 2
 
1.1%
태권도장 2
 
1.1%
첨단스크린골프 2
 
1.1%
휘트니스 2
 
1.1%
삼례 2
 
1.1%
Other values (153) 161
85.6%
2024-03-14T23:52:50.553484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
7.0%
프 37
 
3.8%
스 36
 
3.7%
장 30
 
3.1%
골 29
 
3.0%
구 26
 
2.7%
당 25
 
2.6%
도 21
 
2.1%
권 19
 
1.9%
크 19
 
1.9%
Other values (217) 668
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 836
85.5%
Space Separator 68
 
7.0%
Uppercase Letter 55
 
5.6%
Decimal Number 7
 
0.7%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 37
 
4.4%
스 36
 
4.3%
장 30
 
3.6%
골 29
 
3.5%
구 26
 
3.1%
당 25
 
3.0%
도 21
 
2.5%
권 19
 
2.3%
크 19
 
2.3%
태 19
 
2.3%
Other values (189) 575
68.8%
Uppercase Letter
ValueCountFrequency (%)
S 7
12.7%
T 7
12.7%
J 6
10.9%
D 6
10.9%
G 5
9.1%
R 5
9.1%
P 4
7.3%
Y 3
 
5.5%
E 2
 
3.6%
K 2
 
3.6%
Other values (8) 8
14.5%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
1 2
28.6%
3 1
14.3%
5 1
14.3%
8 1
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
& 2
50.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 836
85.5%
Common 87
 
8.9%
Latin 55
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 37
 
4.4%
스 36
 
4.3%
장 30
 
3.6%
골 29
 
3.5%
구 26
 
3.1%
당 25
 
3.0%
도 21
 
2.5%
권 19
 
2.3%
크 19
 
2.3%
태 19
 
2.3%
Other values (189) 575
68.8%
Latin
ValueCountFrequency (%)
S 7
12.7%
T 7
12.7%
J 6
10.9%
D 6
10.9%
G 5
9.1%
R 5
9.1%
P 4
7.3%
Y 3
 
5.5%
E 2
 
3.6%
K 2
 
3.6%
Other values (8) 8
14.5%
Common
ValueCountFrequency (%)
68
78.2%
( 4
 
4.6%
) 4
 
4.6%
2 2
 
2.3%
1 2
 
2.3%
/ 2
 
2.3%
& 2
 
2.3%
3 1
 
1.1%
5 1
 
1.1%
8 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 836
85.5%
ASCII 142
 
14.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
47.9%
S 7
 
4.9%
T 7
 
4.9%
J 6
 
4.2%
D 6
 
4.2%
G 5
 
3.5%
R 5
 
3.5%
( 4
 
2.8%
) 4
 
2.8%
P 4
 
2.8%
Other values (18) 26
 
18.3%
Hangul
ValueCountFrequency (%)
프 37
 
4.4%
스 36
 
4.3%
장 30
 
3.6%
골 29
 
3.5%
구 26
 
3.1%
당 25
 
3.0%
도 21
 
2.5%
권 19
 
2.3%
크 19
 
2.3%
태 19
 
2.3%
Other values (189) 575
68.8%

시설주소(도로명)
Text

Distinct118
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T23:52:51.806037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length29.266667
Min length22

Characters and Unicode

Total characters3512
Distinct characters141
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

Unique116 ?
Unique (%)96.7%

Sample

1st row전북특별자치도 완주군 이서면 오공로 11-13, 테라스샾 4층 405,406,407호
2nd row전북특별자치도 완주군 봉동읍 봉동동서로 110-1
3rd row전북특별자치도 완주군 삼례읍 삼례역로 14
4th row전북특별자치도 완주군 이서면 이서로 66
5th row전북특별자치도 완주군 삼례읍 동학로 38
ValueCountFrequency (%)
전북특별자치도 120
 
16.4%
완주군 120
 
16.4%
봉동읍 41
 
5.6%
이서면 40
 
5.5%
삼례읍 26
 
3.6%
2층 13
 
1.8%
기지로 10
 
1.4%
3층 9
 
1.2%
오공로 8
 
1.1%
둔산3로 8
 
1.1%
Other values (204) 335
45.9%
2024-03-14T23:52:53.313626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
611
 
17.4%
1 134
 
3.8%
주 129
 
3.7%
전 124
 
3.5%
완 124
 
3.5%
도 122
 
3.5%
별 121
 
3.4%
특 120
 
3.4%
자 120
 
3.4%
치 120
 
3.4%
Other values (131) 1787
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2205
62.8%
Space Separator 611
 
17.4%
Decimal Number 563
 
16.0%
Other Punctuation 90
 
2.6%
Dash Punctuation 28
 
0.8%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 129
 
5.9%
전 124
 
5.6%
완 124
 
5.6%
도 122
 
5.5%
별 121
 
5.5%
특 120
 
5.4%
자 120
 
5.4%
치 120
 
5.4%
군 120
 
5.4%
북 120
 
5.4%
Other values (115) 985
44.7%
Decimal Number
ValueCountFrequency (%)
1 134
23.8%
2 90
16.0%
3 79
14.0%
0 66
11.7%
4 53
 
9.4%
5 44
 
7.8%
6 32
 
5.7%
8 23
 
4.1%
7 22
 
3.9%
9 20
 
3.6%
Space Separator
ValueCountFrequency (%)
611
100.0%
Other Punctuation
ValueCountFrequency (%)
, 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2205
62.8%
Common 1306
37.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 129
 
5.9%
전 124
 
5.6%
완 124
 
5.6%
도 122
 
5.5%
별 121
 
5.5%
특 120
 
5.4%
자 120
 
5.4%
치 120
 
5.4%
군 120
 
5.4%
북 120
 
5.4%
Other values (115) 985
44.7%
Common
ValueCountFrequency (%)
611
46.8%
1 134
 
10.3%
2 90
 
6.9%
, 90
 
6.9%
3 79
 
6.0%
0 66
 
5.1%
4 53
 
4.1%
5 44
 
3.4%
6 32
 
2.5%
- 28
 
2.1%
Other values (5) 79
 
6.0%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2205
62.8%
ASCII 1307
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
611
46.7%
1 134
 
10.3%
2 90
 
6.9%
, 90
 
6.9%
3 79
 
6.0%
0 66
 
5.0%
4 53
 
4.1%
5 44
 
3.4%
6 32
 
2.4%
- 28
 
2.1%
Other values (6) 80
 
6.1%
Hangul
ValueCountFrequency (%)
주 129
 
5.9%
전 124
 
5.6%
완 124
 
5.6%
도 122
 
5.5%
별 121
 
5.5%
특 120
 
5.4%
자 120
 
5.4%
치 120
 
5.4%
군 120
 
5.4%
북 120
 
5.4%
Other values (115) 985
44.7%

시설전화번호
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing74
Missing (%)61.7%
Memory size1.1 KiB
2024-03-14T23:52:54.136766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters552
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

Unique46 ?
Unique (%)100.0%

Sample

1st row063-224-5921
2nd row063-291-3952
3rd row063-222-6201
4th row063-291-1112
5th row063-262-5574
ValueCountFrequency (%)
063-261-7795 1
 
2.2%
063-224-5921 1
 
2.2%
063-212-9000 1
 
2.2%
063-262-8800 1
 
2.2%
063-261-8253 1
 
2.2%
063-287-4600 1
 
2.2%
063-224-9688 1
 
2.2%
063-226-0815 1
 
2.2%
063-262-9977 1
 
2.2%
063-908-3265 1
 
2.2%
Other values (36) 36
78.3%
2024-03-14T23:52:55.164522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 92
16.7%
0 89
16.1%
2 81
14.7%
6 75
13.6%
3 65
11.8%
1 36
 
6.5%
9 26
 
4.7%
5 24
 
4.3%
8 24
 
4.3%
7 21
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 460
83.3%
Dash Punctuation 92
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89
19.3%
2 81
17.6%
6 75
16.3%
3 65
14.1%
1 36
7.8%
9 26
 
5.7%
5 24
 
5.2%
8 24
 
5.2%
7 21
 
4.6%
4 19
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 92
16.7%
0 89
16.1%
2 81
14.7%
6 75
13.6%
3 65
11.8%
1 36
 
6.5%
9 26
 
4.7%
5 24
 
4.3%
8 24
 
4.3%
7 21
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 92
16.7%
0 89
16.1%
2 81
14.7%
6 75
13.6%
3 65
11.8%
1 36
 
6.5%
9 26
 
4.7%
5 24
 
4.3%
8 24
 
4.3%
7 21
 
3.8%

대표자성명
Text

Distinct116
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T23:52:56.362573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.3
Min length2

Characters and Unicode

Total characters396
Distinct characters127
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)93.3%

Sample

1st row유의근 (외 1 명)
2nd row이석훈
3rd row김서후
4th row조승원
5th row임승국
ValueCountFrequency (%)
외 5
 
3.7%
명 5
 
3.7%
1 5
 
3.7%
황승국 2
 
1.5%
최도범 2
 
1.5%
이창윤 2
 
1.5%
유영신 2
 
1.5%
전진우 1
 
0.7%
국중인 1
 
0.7%
심길순 1
 
0.7%
Other values (109) 109
80.7%
2024-03-14T23:52:57.764940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 23
 
5.8%
이 16
 
4.0%
정 16
 
4.0%
15
 
3.8%
진 11
 
2.8%
순 9
 
2.3%
승 9
 
2.3%
영 9
 
2.3%
최 8
 
2.0%
명 6
 
1.5%
Other values (117) 274
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
92.4%
Space Separator 15
 
3.8%
Decimal Number 5
 
1.3%
Close Punctuation 5
 
1.3%
Open Punctuation 5
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 23
 
6.3%
이 16
 
4.4%
정 16
 
4.4%
진 11
 
3.0%
순 9
 
2.5%
승 9
 
2.5%
영 9
 
2.5%
최 8
 
2.2%
명 6
 
1.6%
윤 6
 
1.6%
Other values (113) 253
69.1%
Space Separator
ValueCountFrequency (%)
15
100.0%
Decimal Number
ValueCountFrequency (%)
1 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
92.4%
Common 30
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 23
 
6.3%
이 16
 
4.4%
정 16
 
4.4%
진 11
 
3.0%
순 9
 
2.5%
승 9
 
2.5%
영 9
 
2.5%
최 8
 
2.2%
명 6
 
1.6%
윤 6
 
1.6%
Other values (113) 253
69.1%
Common
ValueCountFrequency (%)
15
50.0%
1 5
 
16.7%
) 5
 
16.7%
( 5
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
92.4%
ASCII 30
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 23
 
6.3%
이 16
 
4.4%
정 16
 
4.4%
진 11
 
3.0%
순 9
 
2.5%
승 9
 
2.5%
영 9
 
2.5%
최 8
 
2.2%
명 6
 
1.6%
윤 6
 
1.6%
Other values (113) 253
69.1%
ASCII
ValueCountFrequency (%)
15
50.0%
1 5
 
16.7%
) 5
 
16.7%
( 5
 
16.7%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
120 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 120
100.0%

Length

2024-03-14T23:52:57.993847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:52:58.270265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 120
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-02-08
120 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-08
2nd row2024-02-08
3rd row2024-02-08
4th row2024-02-08
5th row2024-02-08

Common Values

ValueCountFrequency (%)
2024-02-08 120
100.0%

Length

2024-03-14T23:52:58.588682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:52:58.888229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-08 120
100.0%

Interactions

2024-03-14T23:52:42.367050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:52:59.064713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종시설전화번호
연번1.0000.9451.000
업종0.9451.0001.000
시설전화번호1.0001.0001.000
2024-03-14T23:52:59.300235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.607
업종0.6071.000

Missing values

2024-03-14T23:52:42.721580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:52:43.169736image/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

연번업종신고번호상호시설주소(도로명)시설전화번호대표자성명영업구분데이터기준일자
01수영장업30101-2018-000001위너키즈전북특별자치도 완주군 이서면 오공로 11-13, 테라스샾 4층 405,406,407호063-224-5921유의근 (외 1 명)영업중2024-02-08
12체육도장업30102-1981-000001봉동체육관전북특별자치도 완주군 봉동읍 봉동동서로 110-1<NA>이석훈영업중2024-02-08
23체육도장업30102-1987-000001블로우핏전북특별자치도 완주군 삼례읍 삼례역로 14063-291-3952김서후영업중2024-02-08
34체육도장업30102-1991-000001이서태권도장전북특별자치도 완주군 이서면 이서로 66063-222-6201조승원영업중2024-02-08
45체육도장업30102-1994-000001삼례종합체육관전북특별자치도 완주군 삼례읍 동학로 38063-291-1112임승국영업중2024-02-08
56체육도장업30102-2000-000001완주체육관전북특별자치도 완주군 고산면 고산로 144063-262-5574박춘성영업중2024-02-08
67체육도장업30102-2001-000002삼례경희대태권도전북특별자치도 완주군 삼례읍 왕궁로 30063-291-7072정관영영업중2024-02-08
78체육도장업30102-2002-000001케이탑태권도전북특별자치도 완주군 봉동읍 봉동동서로 76, 2층 201호 (봉동2차 명진로얄아파트)063-241-9303유영신영업중2024-02-08
89체육도장업30102-2004-000003고려태권도아카데미전북특별자치도 완주군 상관면 신리로 79063-288-2615김진영업중2024-02-08
910체육도장업30102-2004-000005영웅태권도장전북특별자치도 완주군 이서면 지사제로 5, 401호 (혁신빌딩)<NA>김진호영업중2024-02-08
연번업종신고번호상호시설주소(도로명)시설전화번호대표자성명영업구분데이터기준일자
110111가상체험 체육시설업30128-2023-000001YJ골프존파크 삼례삼봉점전북특별자치도 완주군 삼례읍 삼봉7로 22, 6층<NA>이영재영업중2024-02-08
111112가상체험 체육시설업30128-2023-000002골프존파크 이서 혁신언더점전북특별자치도 완주군 이서면 혁신로 243-21, 3,4층<NA>박훈규영업중2024-02-08
112113가상체험 체육시설업30128-2023-000003프렌즈 스크린 완주소양점전북특별자치도 완주군 소양면 구억명덕로 471-14, 1,2층<NA>신승용영업중2024-02-08
113114체육교습업30129-2021-000001(사)전북풋볼아카데미전북특별자치도 완주군 이서면 출판로 46-12, 진영빌딩 2층063-221-1144방희철영업중2024-02-08
114115체육교습업30129-2021-000002둔산주니어풋볼클럽전북특별자치도 완주군 봉동읍 원둔산3길 9063-262-4384김성연영업중2024-02-08
115116체육교습업30129-2021-000003케이탑유아관 앤 점핑스쿨전북특별자치도 완주군 봉동읍 봉동동서로 72, 1층 2호<NA>정연욱영업중2024-02-08
116117체육교습업30129-2021-000004J&B전북특별자치도 완주군 이서면 기지로 36, 스타타워 501,502,503호<NA>박동철영업중2024-02-08
117118체육교습업30129-2022-000001에이클래스풋살클럽 협동조합전북특별자치도 완주군 이서면 출판로 46-16, 3,4층 301,302,401,402호<NA>안광수영업중2024-02-08
118119체육교습업30129-2023-000001메리트풋볼클럽 혁신점전북특별자치도 완주군 이서면 오공로 11-23, 대성타워 3층 304호<NA>안강수영업중2024-02-08
119120체육교습업30129-2023-000002점프스쿨 삼봉센터전북특별자치도 완주군 삼례읍 삼봉3로 16, 501호063-262-4287황승국영업중2024-02-08