Overview

Dataset statistics

Number of variables9
Number of observations288
Missing cells82
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.9 KiB
Average record size in memory74.5 B

Variable types

Categorical1
Text5
Numeric2
DateTime1

Dataset

Description경상남도 거제시 체육시설업현황(상호명, 주소, 위도, 경도, 전화번호, 기준일자) 등에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079326

Alerts

기준일자 has constant value ""Constant
시설전화번호 has 82 (28.5%) missing valuesMissing
신고번호 has unique valuesUnique

Reproduction

Analysis started2024-04-16 22:52:05.703129
Analysis finished2024-04-16 22:52:06.685035
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct11
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
당구장업
103 
체육도장업
80 
체력단련장업
47 
골프연습장업
31 
수영장업
 
10
Other values (6)
17 

Length

Max length10
Median length7
Mean length4.9444444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 103
35.8%
체육도장업 80
27.8%
체력단련장업 47
16.3%
골프연습장업 31
 
10.8%
수영장업 10
 
3.5%
가상체험 체육시설업 4
 
1.4%
볼링장업 3
 
1.0%
무도학원업 3
 
1.0%
체육교습업 3
 
1.0%
요트장업 2
 
0.7%

Length

2024-04-17T07:52:06.737823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
당구장업 103
35.3%
체육도장업 80
27.4%
체력단련장업 47
16.1%
골프연습장업 31
 
10.6%
수영장업 10
 
3.4%
가상체험 4
 
1.4%
체육시설업 4
 
1.4%
볼링장업 3
 
1.0%
무도학원업 3
 
1.0%
체육교습업 3
 
1.0%
Other values (2) 4
 
1.4%

신고번호
Text

UNIQUE 

Distinct288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-17T07:52:06.907140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters4896
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

Unique288 ?
Unique (%)100.0%

Sample

1st row30101-1996-000001
2nd row30101-2012-000001
3rd row30101-2013-000001
4th row30101-2016-000001
5th row30101-2016-000002
ValueCountFrequency (%)
30101-1996-000001 1
 
0.3%
30101-2012-000001 1
 
0.3%
30108-2012-000013 1
 
0.3%
30108-2012-000012 1
 
0.3%
30108-2012-000009 1
 
0.3%
30108-2011-000020 1
 
0.3%
30108-2011-000018 1
 
0.3%
30108-2011-000015 1
 
0.3%
30108-2012-000015 1
 
0.3%
30108-2011-000013 1
 
0.3%
Other values (278) 278
96.5%
2024-04-17T07:52:07.194544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2307
47.1%
1 642
 
13.1%
- 576
 
11.8%
2 472
 
9.6%
3 347
 
7.1%
8 158
 
3.2%
6 107
 
2.2%
9 99
 
2.0%
5 93
 
1.9%
4 52
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4320
88.2%
Dash Punctuation 576
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2307
53.4%
1 642
 
14.9%
2 472
 
10.9%
3 347
 
8.0%
8 158
 
3.7%
6 107
 
2.5%
9 99
 
2.3%
5 93
 
2.2%
4 52
 
1.2%
7 43
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 576
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4896
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2307
47.1%
1 642
 
13.1%
- 576
 
11.8%
2 472
 
9.6%
3 347
 
7.1%
8 158
 
3.2%
6 107
 
2.2%
9 99
 
2.0%
5 93
 
1.9%
4 52
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4896
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2307
47.1%
1 642
 
13.1%
- 576
 
11.8%
2 472
 
9.6%
3 347
 
7.1%
8 158
 
3.2%
6 107
 
2.2%
9 99
 
2.0%
5 93
 
1.9%
4 52
 
1.1%

상호
Text

Distinct282
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-17T07:52:07.451704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.4791667
Min length2

Characters and Unicode

Total characters2154
Distinct characters317
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

Unique276 ?
Unique (%)95.8%

Sample

1st row삼성문화관수영장
2nd row오션사이드수영장
3rd row삼성중공업 거제호텔 수영장
4th row찬스아이수영장
5th row이야짐
ValueCountFrequency (%)
당구장 7
 
1.8%
당구클럽 6
 
1.5%
태권도 4
 
1.0%
용인대 4
 
1.0%
태권도장 4
 
1.0%
축구교실 3
 
0.8%
당구 3
 
0.8%
한화리조트거제벨버디어 3
 
0.8%
나라찬태권도장 3
 
0.8%
수영장 3
 
0.8%
Other values (332) 360
90.0%
2024-04-17T07:52:07.829062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 118
 
5.5%
112
 
5.2%
구 102
 
4.7%
당 96
 
4.5%
스 76
 
3.5%
도 73
 
3.4%
태 57
 
2.6%
권 57
 
2.6%
클 44
 
2.0%
럽 44
 
2.0%
Other values (307) 1375
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1905
88.4%
Space Separator 112
 
5.2%
Uppercase Letter 65
 
3.0%
Lowercase Letter 24
 
1.1%
Decimal Number 19
 
0.9%
Open Punctuation 11
 
0.5%
Close Punctuation 11
 
0.5%
Other Punctuation 6
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 118
 
6.2%
구 102
 
5.4%
당 96
 
5.0%
스 76
 
4.0%
도 73
 
3.8%
태 57
 
3.0%
권 57
 
3.0%
클 44
 
2.3%
럽 44
 
2.3%
아 31
 
1.6%
Other values (262) 1207
63.4%
Uppercase Letter
ValueCountFrequency (%)
M 12
18.5%
B 8
12.3%
J 6
9.2%
S 5
7.7%
C 5
7.7%
G 5
7.7%
Y 4
 
6.2%
P 3
 
4.6%
T 3
 
4.6%
A 2
 
3.1%
Other values (9) 12
18.5%
Lowercase Letter
ValueCountFrequency (%)
o 5
20.8%
y 4
16.7%
d 3
12.5%
i 2
 
8.3%
t 2
 
8.3%
m 2
 
8.3%
g 1
 
4.2%
k 1
 
4.2%
e 1
 
4.2%
w 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
0 6
31.6%
7 3
15.8%
2 3
15.8%
3 2
 
10.5%
6 2
 
10.5%
5 1
 
5.3%
1 1
 
5.3%
4 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
· 1
 
16.7%
Space Separator
ValueCountFrequency (%)
112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1905
88.4%
Common 160
 
7.4%
Latin 89
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 118
 
6.2%
구 102
 
5.4%
당 96
 
5.0%
스 76
 
4.0%
도 73
 
3.8%
태 57
 
3.0%
권 57
 
3.0%
클 44
 
2.3%
럽 44
 
2.3%
아 31
 
1.6%
Other values (262) 1207
63.4%
Latin
ValueCountFrequency (%)
M 12
 
13.5%
B 8
 
9.0%
J 6
 
6.7%
o 5
 
5.6%
S 5
 
5.6%
C 5
 
5.6%
G 5
 
5.6%
Y 4
 
4.5%
y 4
 
4.5%
d 3
 
3.4%
Other values (21) 32
36.0%
Common
ValueCountFrequency (%)
112
70.0%
( 11
 
6.9%
) 11
 
6.9%
0 6
 
3.8%
. 5
 
3.1%
7 3
 
1.9%
2 3
 
1.9%
3 2
 
1.2%
6 2
 
1.2%
· 1
 
0.6%
Other values (4) 4
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1905
88.4%
ASCII 248
 
11.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 118
 
6.2%
구 102
 
5.4%
당 96
 
5.0%
스 76
 
4.0%
도 73
 
3.8%
태 57
 
3.0%
권 57
 
3.0%
클 44
 
2.3%
럽 44
 
2.3%
아 31
 
1.6%
Other values (262) 1207
63.4%
ASCII
ValueCountFrequency (%)
112
45.2%
M 12
 
4.8%
( 11
 
4.4%
) 11
 
4.4%
B 8
 
3.2%
J 6
 
2.4%
0 6
 
2.4%
o 5
 
2.0%
S 5
 
2.0%
C 5
 
2.0%
Other values (34) 67
27.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명주소
Text

Distinct283
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-17T07:52:08.053629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length29.267361
Min length19

Characters and Unicode

Total characters8429
Distinct characters197
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique278 ?
Unique (%)96.5%

Sample

1st row경상남도 거제시 장평3로 80-45 1층 (장평동)
2nd row경상남도 거제시 장승로 145 (장승포동)
3rd row경상남도 거제시 장평3로 80-37 (장평동)
4th row경상남도 거제시 수양로 456-7 지하1층 (수월동)
5th row경상남도 거제시 일운면 지세포3길 99
ValueCountFrequency (%)
경상남도 288
 
18.4%
거제시 288
 
18.4%
고현동 53
 
3.4%
장평동 38
 
2.4%
옥포동 29
 
1.9%
아주동 23
 
1.5%
수양로 19
 
1.2%
상동동 17
 
1.1%
2층 15
 
1.0%
거제대로 14
 
0.9%
Other values (490) 777
49.8%
2024-04-17T07:52:08.406847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1273
 
15.1%
제 363
 
4.3%
거 357
 
4.2%
상 353
 
4.2%
동 342
 
4.1%
1 330
 
3.9%
남 296
 
3.5%
도 294
 
3.5%
경 291
 
3.5%
시 291
 
3.5%
Other values (187) 4239
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4798
56.9%
Decimal Number 1490
 
17.7%
Space Separator 1273
 
15.1%
Other Punctuation 280
 
3.3%
Open Punctuation 253
 
3.0%
Close Punctuation 253
 
3.0%
Dash Punctuation 58
 
0.7%
Math Symbol 16
 
0.2%
Uppercase Letter 6
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 363
 
7.6%
거 357
 
7.4%
상 353
 
7.4%
동 342
 
7.1%
남 296
 
6.2%
도 294
 
6.1%
경 291
 
6.1%
시 291
 
6.1%
로 257
 
5.4%
층 171
 
3.6%
Other values (163) 1783
37.2%
Decimal Number
ValueCountFrequency (%)
1 330
22.1%
2 271
18.2%
3 218
14.6%
0 156
10.5%
4 151
10.1%
5 114
 
7.7%
7 74
 
5.0%
6 65
 
4.4%
8 65
 
4.4%
9 46
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
16.7%
R 1
16.7%
A 1
16.7%
P 1
16.7%
I 1
16.7%
K 1
16.7%
Other Punctuation
ValueCountFrequency (%)
， 279
99.6%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4798
56.9%
Common 3623
43.0%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 363
 
7.6%
거 357
 
7.4%
상 353
 
7.4%
동 342
 
7.1%
남 296
 
6.2%
도 294
 
6.1%
경 291
 
6.1%
시 291
 
6.1%
로 257
 
5.4%
층 171
 
3.6%
Other values (163) 1783
37.2%
Common
ValueCountFrequency (%)
1273
35.1%
1 330
 
9.1%
， 279
 
7.7%
2 271
 
7.5%
( 253
 
7.0%
) 253
 
7.0%
3 218
 
6.0%
0 156
 
4.3%
4 151
 
4.2%
5 114
 
3.1%
Other values (7) 325
 
9.0%
Latin
ValueCountFrequency (%)
e 2
25.0%
B 1
12.5%
R 1
12.5%
A 1
12.5%
P 1
12.5%
I 1
12.5%
K 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4798
56.9%
ASCII 3352
39.8%
None 279
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1273
38.0%
1 330
 
9.8%
2 271
 
8.1%
( 253
 
7.5%
) 253
 
7.5%
3 218
 
6.5%
0 156
 
4.7%
4 151
 
4.5%
5 114
 
3.4%
7 74
 
2.2%
Other values (13) 259
 
7.7%
Hangul
ValueCountFrequency (%)
제 363
 
7.6%
거 357
 
7.4%
상 353
 
7.4%
동 342
 
7.1%
남 296
 
6.2%
도 294
 
6.1%
경 291
 
6.1%
시 291
 
6.1%
로 257
 
5.4%
층 171
 
3.6%
Other values (163) 1783
37.2%
None
ValueCountFrequency (%)
， 279
100.0%

지번주소
Text

Distinct263
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-17T07:52:08.660218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length18.923611
Min length15

Characters and Unicode

Total characters5450
Distinct characters84
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique241 ?
Unique (%)83.7%

Sample

1st row경상남도 거제시 장평동 409-33
2nd row경상남도 거제시 장승포동 426-33
3rd row경상남도 거제시 장평동 444-3
4th row경상남도 거제시 수월동 1043-110
5th row경상남도 거제시 일운면 지세포리 1122-2
ValueCountFrequency (%)
거제시 289
24.0%
경상남도 288
23.9%
고현동 61
 
5.1%
장평동 43
 
3.6%
옥포동 38
 
3.2%
아주동 30
 
2.5%
상동동 23
 
1.9%
일운면 14
 
1.2%
수월동 14
 
1.2%
사등면 12
 
1.0%
Other values (294) 393
32.6%
2024-04-17T07:52:09.015597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
933
17.1%
상 315
 
5.8%
거 296
 
5.4%
제 296
 
5.4%
도 289
 
5.3%
시 289
 
5.3%
경 288
 
5.3%
남 288
 
5.3%
동 282
 
5.2%
1 280
 
5.1%
Other values (74) 1894
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3051
56.0%
Decimal Number 1241
22.8%
Space Separator 933
 
17.1%
Dash Punctuation 220
 
4.0%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 315
10.3%
거 296
9.7%
제 296
9.7%
도 289
9.5%
시 289
9.5%
경 288
9.4%
남 288
9.4%
동 282
9.2%
현 65
 
2.1%
포 65
 
2.1%
Other values (57) 578
18.9%
Decimal Number
ValueCountFrequency (%)
1 280
22.6%
2 131
10.6%
5 114
9.2%
4 114
9.2%
0 112
 
9.0%
3 112
 
9.0%
6 111
 
8.9%
9 110
 
8.9%
8 84
 
6.8%
7 73
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
R 1
20.0%
A 1
20.0%
P 1
20.0%
I 1
20.0%
Space Separator
ValueCountFrequency (%)
933
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3051
56.0%
Common 2394
43.9%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 315
10.3%
거 296
9.7%
제 296
9.7%
도 289
9.5%
시 289
9.5%
경 288
9.4%
남 288
9.4%
동 282
9.2%
현 65
 
2.1%
포 65
 
2.1%
Other values (57) 578
18.9%
Common
ValueCountFrequency (%)
933
39.0%
1 280
 
11.7%
- 220
 
9.2%
2 131
 
5.5%
5 114
 
4.8%
4 114
 
4.8%
0 112
 
4.7%
3 112
 
4.7%
6 111
 
4.6%
9 110
 
4.6%
Other values (2) 157
 
6.6%
Latin
ValueCountFrequency (%)
K 1
20.0%
R 1
20.0%
A 1
20.0%
P 1
20.0%
I 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3051
56.0%
ASCII 2399
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
933
38.9%
1 280
 
11.7%
- 220
 
9.2%
2 131
 
5.5%
5 114
 
4.8%
4 114
 
4.8%
0 112
 
4.7%
3 112
 
4.7%
6 111
 
4.6%
9 110
 
4.6%
Other values (7) 162
 
6.8%
Hangul
ValueCountFrequency (%)
상 315
10.3%
거 296
9.7%
제 296
9.7%
도 289
9.5%
시 289
9.5%
경 288
9.4%
남 288
9.4%
동 282
9.2%
현 65
 
2.1%
포 65
 
2.1%
Other values (57) 578
18.9%

위도
Real number (ℝ)

Distinct263
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.883444
Minimum34.787809
Maximum35.007888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-17T07:52:09.140944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.787809
5-th percentile34.841521
Q134.869928
median34.889399
Q334.893515
95-th percentile34.899287
Maximum35.007888
Range0.22007927
Interquartile range (IQR)0.023587325

Descriptive statistics

Standard deviation0.024130456
Coefficient of variation (CV)0.00069174524
Kurtosis9.8254667
Mean34.883444
Median Absolute Deviation (MAD)0.006833815
Skewness1.147341
Sum10046.432
Variance0.00058227892
MonotonicityNot monotonic
2024-04-17T07:52:09.254984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.89086168 3
 
1.0%
35.00788778 3
 
1.0%
34.88902769 3
 
1.0%
34.86727693 2
 
0.7%
34.89625933 2
 
0.7%
34.86368863 2
 
0.7%
34.8963156 2
 
0.7%
34.89812548 2
 
0.7%
34.86928083 2
 
0.7%
34.83659893 2
 
0.7%
Other values (253) 265
92.0%
ValueCountFrequency (%)
34.78780851 1
0.3%
34.81149117 1
0.3%
34.81351306 2
0.7%
34.82368842 1
0.3%
34.82979123 1
0.3%
34.82992925 1
0.3%
34.8308405 1
0.3%
34.83234455 1
0.3%
34.83369365 1
0.3%
34.83659893 2
0.7%
ValueCountFrequency (%)
35.00788778 3
1.0%
34.99066411 1
 
0.3%
34.98845587 1
 
0.3%
34.92074602 1
 
0.3%
34.91489027 1
 
0.3%
34.91361831 1
 
0.3%
34.91271134 1
 
0.3%
34.90807524 1
 
0.3%
34.90736292 1
 
0.3%
34.9015513 1
 
0.3%

경도
Real number (ℝ)

Distinct263
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64843
Minimum128.47731
Maximum128.73246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-17T07:52:09.360080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47731
5-th percentile128.58967
Q1128.62125
median128.63671
Q3128.69072
95-th percentile128.72601
Maximum128.73246
Range0.2551525
Interquartile range (IQR)0.0694722

Descriptive statistics

Standard deviation0.048278806
Coefficient of variation (CV)0.00037527708
Kurtosis1.4833673
Mean128.64843
Median Absolute Deviation (MAD)0.02712505
Skewness-0.64031909
Sum37050.748
Variance0.0023308431
MonotonicityNot monotonic
2024-04-17T07:52:09.471828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6131049 3
 
1.0%
128.712119 3
 
1.0%
128.6248292 3
 
1.0%
128.6900171 2
 
0.7%
128.6304072 2
 
0.7%
128.6397425 2
 
0.7%
128.6358841 2
 
0.7%
128.6953228 2
 
0.7%
128.6319556 2
 
0.7%
128.6894132 2
 
0.7%
Other values (253) 265
92.0%
ValueCountFrequency (%)
128.4773121 1
0.3%
128.4775553 1
0.3%
128.4778878 1
0.3%
128.478255 1
0.3%
128.4788496 1
0.3%
128.5082132 1
0.3%
128.513328 1
0.3%
128.5240036 1
0.3%
128.5549283 1
0.3%
128.5625541 1
0.3%
ValueCountFrequency (%)
128.7324646 1
0.3%
128.7322742 1
0.3%
128.732007 2
0.7%
128.7319623 1
0.3%
128.7319142 1
0.3%
128.7317782 1
0.3%
128.7315144 1
0.3%
128.731427 1
0.3%
128.7295182 1
0.3%
128.7286349 1
0.3%

시설전화번호
Text

MISSING 

Distinct201
Distinct (%)97.6%
Missing82
Missing (%)28.5%
Memory size2.4 KiB
2024-04-17T07:52:09.673893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.082524
Min length9

Characters and Unicode

Total characters2489
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

Unique197 ?
Unique (%)95.6%

Sample

1st row055-630-5230
2nd row055-680-1000
3rd row055-631-2114
4th row055-638-0510
5th row1670-9977
ValueCountFrequency (%)
1670-9977 3
 
1.5%
055-682-7000 2
 
1.0%
055-632-7004 2
 
1.0%
055-681-7787 2
 
1.0%
055-635-9886 1
 
0.5%
055-635-1585 1
 
0.5%
055-688-3669 1
 
0.5%
055-637-6875 1
 
0.5%
055-630-1430 1
 
0.5%
055-682-1607 1
 
0.5%
Other values (191) 191
92.7%
2024-04-17T07:52:09.981947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 490
19.7%
- 408
16.4%
0 365
14.7%
6 284
11.4%
3 213
8.6%
8 168
 
6.7%
7 162
 
6.5%
1 126
 
5.1%
2 110
 
4.4%
4 82
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2081
83.6%
Dash Punctuation 408
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 490
23.5%
0 365
17.5%
6 284
13.6%
3 213
10.2%
8 168
 
8.1%
7 162
 
7.8%
1 126
 
6.1%
2 110
 
5.3%
4 82
 
3.9%
9 81
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2489
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 490
19.7%
- 408
16.4%
0 365
14.7%
6 284
11.4%
3 213
8.6%
8 168
 
6.7%
7 162
 
6.5%
1 126
 
5.1%
2 110
 
4.4%
4 82
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2489
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 490
19.7%
- 408
16.4%
0 365
14.7%
6 284
11.4%
3 213
8.6%
8 168
 
6.7%
7 162
 
6.5%
1 126
 
5.1%
2 110
 
4.4%
4 82
 
3.3%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2021-09-15 00:00:00
Maximum2021-09-15 00:00:00
2024-04-17T07:52:10.074761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T07:52:10.151188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-17T07:52:06.169055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T07:52:06.047903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T07:52:06.229227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T07:52:06.107931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T07:52:10.206230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종위도경도
업종1.0000.5100.257
위도0.5101.0000.651
경도0.2570.6511.000
2024-04-17T07:52:10.273538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종
위도1.000-0.1770.268
경도-0.1771.0000.113
업종0.2680.1131.000

Missing values

2024-04-17T07:52:06.542820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T07:52:06.646406image/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

업종신고번호상호도로명주소지번주소위도경도시설전화번호기준일자
0수영장업30101-1996-000001삼성문화관수영장경상남도 거제시 장평3로 80-45 1층 (장평동)경상남도 거제시 장평동 409-3334.895766128.611022055-630-52302021-09-15
1수영장업30101-2012-000001오션사이드수영장경상남도 거제시 장승로 145 (장승포동)경상남도 거제시 장승포동 426-3334.867178128.723358055-680-10002021-09-15
2수영장업30101-2013-000001삼성중공업 거제호텔 수영장경상남도 거제시 장평3로 80-37 (장평동)경상남도 거제시 장평동 444-334.896157128.612322055-631-21142021-09-15
3수영장업30101-2016-000001찬스아이수영장경상남도 거제시 수양로 456-7 지하1층 (수월동)경상남도 거제시 수월동 1043-11034.893178128.640356055-638-05102021-09-15
4수영장업30101-2016-000002이야짐경상남도 거제시 일운면 지세포3길 99경상남도 거제시 일운면 지세포리 1122-234.823688128.694362<NA>2021-09-15
5수영장업30101-2017-000001신원아침도시 수영장경상남도 거제시 계룡로9길 21-2 (고현동 신원 아침의도시)경상남도 거제시 고현동 108834.879201128.62048<NA>2021-09-15
6수영장업30101-2018-000001한화리조트거제벨버디어 수영장경상남도 거제시 장목면 거제북로 2501-40 지하3층경상남도 거제시 장목면 농소리 2535.007888128.7121191670-99772021-09-15
7수영장업30101-2018-000002한화리조트거제벨버디어 인피니티풀경상남도 거제시 장목면 거제북로 2501-40 17층경상남도 거제시 장목면 농소리 2535.007888128.7121191670-99772021-09-15
8수영장업30101-2019-000001라마다스위츠거제호텔 스포츠센터경상남도 거제시 일운면 거제대로 2631 라마다호텔 2층경상남도 거제시 일운면 소동리 43734.840299128.699383055-682-70002021-09-15
9수영장업30101-2020-000002찬스아이수영장 상동분원경상남도 거제시 거제중앙로 1739 찬스아이수영장 (상동동)경상남도 거제시 상동동 483-734.874705128.630977055-633-19892021-09-15
업종신고번호상호도로명주소지번주소위도경도시설전화번호기준일자
278체력단련장업30106-2021-000007플레이 돔경상남도 거제시 서문로3길 26，윤석빌딩 4층 (고현동)경상남도 거제시 고현동 967 윤석빌딩34.890715128.618562055-638-55502021-09-15
279당구장업30108-2020-000006북문당구장경상남도 거제시 두모길 38，2층 (두모동)경상남도 거제시 두모동 450-134.872797128.720451<NA>2021-09-15
280당구장업30108-2021-000002승진당구클럽경상남도 거제시 고현로6길 22，거제시 산림조합 2층 (고현동)경상남도 거제시 고현동 740-1 거제시 산림조합34.88498128.623128<NA>2021-09-15
281당구장업30108-2021-000003리얼 빌리어즈경상남도 거제시 장평1로7길 31，4층 (장평동)경상남도 거제시 장평동 1195-1234.893249128.615989<NA>2021-09-15
282당구장업30108-2021-000004큐 당구장경상남도 거제시 거제중앙로 1848，신현빌딩 3층 (고현동)경상남도 거제시 고현동 208-4 신현빌딩34.883585128.625817<NA>2021-09-15
283당구장업30108-2021-000006블루당구클럽경상남도 거제시 옥포로 168，2층 (옥포동)경상남도 거제시 옥포동 548-2334.890326128.692349<NA>2021-09-15
284가상체험 체육시설업30128-2021-000001상문 스크린골프경상남도 거제시 수양로 52 (문동동)경상남도 거제시 문동동 326-134.86266128.648099<NA>2021-09-15
285체육교습업30129-2021-000001킹콩플러스 축구교실경상남도 거제시 상동5길 7，2층 (상동동)경상남도 거제시 상동동 22434.868582128.636819<NA>2021-09-15
286체육교습업30129-2021-000002케넥스 축구교실경상남도 거제시 수양로 456-7，2층 (수월동)경상남도 거제시 수월동 1043-11034.893111128.641168<NA>2021-09-15
287체육교습업30129-2021-000003경남FC 유소년 축구교실경상남도 거제시 거제대로 4500-55，3층 (고현동)경상남도 거제시 고현동 1084-834.894371128.639809<NA>2021-09-15