Overview

Dataset statistics

Number of variables9
Number of observations944
Missing cells499
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.3 KiB
Average record size in memory74.1 B

Variable types

Text4
Numeric2
DateTime1
Categorical2

Dataset

Description경상남도 거제시 담배소매인등록현황(업소명, 주소, 위도, 경도, 전화번호, 지정일자, 영업기분, 기준일자)등에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15035600

Alerts

영업구분 has constant value ""Constant
기준일자 has constant value ""Constant
업소전화번호 has 499 (52.9%) missing valuesMissing

Reproduction

Analysis started2024-04-20 18:36:15.965077
Analysis finished2024-04-20 18:36:17.942071
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct828
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-21T03:36:18.134092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length7.6769068
Min length2

Characters and Unicode

Total characters7247
Distinct characters460
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique810 ?
Unique (%)85.8%

Sample

1st row세븐일레븐 거제능포점
2nd row미니스톱 거제오비점
3rd row씨유 거제옥포원룸점
4th row롯데쇼핑(주) 롯데마트 거제점
5th row로또7(lotto7)
ValueCountFrequency (%)
상호없음 98
 
7.7%
세븐일레븐 61
 
4.8%
gs25 43
 
3.4%
씨유 42
 
3.3%
미니스톱 25
 
2.0%
이마트24 13
 
1.0%
주)코리아세븐 10
 
0.8%
편의점 10
 
0.8%
마트 9
 
0.7%
지에스(gs)25 7
 
0.5%
Other values (864) 962
75.2%
2024-04-21T03:36:18.503921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 441
 
6.1%
336
 
4.6%
제 289
 
4.0%
거 281
 
3.9%
마 184
 
2.5%
트 162
 
2.2%
상 161
 
2.2%
븐 156
 
2.2%
2 120
 
1.7%
스 120
 
1.7%
Other values (450) 4997
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6280
86.7%
Space Separator 336
 
4.6%
Decimal Number 260
 
3.6%
Uppercase Letter 198
 
2.7%
Open Punctuation 71
 
1.0%
Close Punctuation 71
 
1.0%
Lowercase Letter 20
 
0.3%
Other Punctuation 6
 
0.1%
Dash Punctuation 3
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 441
 
7.0%
제 289
 
4.6%
거 281
 
4.5%
마 184
 
2.9%
트 162
 
2.6%
상 161
 
2.6%
븐 156
 
2.5%
스 120
 
1.9%
유 115
 
1.8%
호 111
 
1.8%
Other values (402) 4260
67.8%
Uppercase Letter
ValueCountFrequency (%)
S 71
35.9%
G 67
33.8%
C 12
 
6.1%
U 10
 
5.1%
K 6
 
3.0%
L 5
 
2.5%
D 4
 
2.0%
A 4
 
2.0%
T 3
 
1.5%
M 3
 
1.5%
Other values (9) 13
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
15.0%
o 3
15.0%
n 2
10.0%
t 2
10.0%
l 2
10.0%
g 1
 
5.0%
s 1
 
5.0%
k 1
 
5.0%
u 1
 
5.0%
i 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
2 120
46.2%
5 91
35.0%
4 29
 
11.2%
1 9
 
3.5%
3 5
 
1.9%
7 4
 
1.5%
6 1
 
0.4%
9 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
& 2
33.3%
Space Separator
ValueCountFrequency (%)
336
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6280
86.7%
Common 749
 
10.3%
Latin 218
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 441
 
7.0%
제 289
 
4.6%
거 281
 
4.5%
마 184
 
2.9%
트 162
 
2.6%
상 161
 
2.6%
븐 156
 
2.5%
스 120
 
1.9%
유 115
 
1.8%
호 111
 
1.8%
Other values (402) 4260
67.8%
Latin
ValueCountFrequency (%)
S 71
32.6%
G 67
30.7%
C 12
 
5.5%
U 10
 
4.6%
K 6
 
2.8%
L 5
 
2.3%
D 4
 
1.8%
A 4
 
1.8%
e 3
 
1.4%
T 3
 
1.4%
Other values (22) 33
15.1%
Common
ValueCountFrequency (%)
336
44.9%
2 120
 
16.0%
5 91
 
12.1%
( 71
 
9.5%
) 71
 
9.5%
4 29
 
3.9%
1 9
 
1.2%
3 5
 
0.7%
. 4
 
0.5%
7 4
 
0.5%
Other values (6) 9
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6280
86.7%
ASCII 967
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 441
 
7.0%
제 289
 
4.6%
거 281
 
4.5%
마 184
 
2.9%
트 162
 
2.6%
상 161
 
2.6%
븐 156
 
2.5%
스 120
 
1.9%
유 115
 
1.8%
호 111
 
1.8%
Other values (402) 4260
67.8%
ASCII
ValueCountFrequency (%)
336
34.7%
2 120
 
12.4%
5 91
 
9.4%
( 71
 
7.3%
) 71
 
7.3%
S 71
 
7.3%
G 67
 
6.9%
4 29
 
3.0%
C 12
 
1.2%
U 10
 
1.0%
Other values (38) 89
 
9.2%

업소지번주소
Text

Distinct922
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-21T03:36:18.772842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length23.768008
Min length12

Characters and Unicode

Total characters22437
Distinct characters281
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

Unique905 ?
Unique (%)95.9%

Sample

1st row경상남도 거제시 능포동 660-6
2nd row경상남도 거제시 연초면 오비리 1164-2
3rd row경상남도 거제시 옥포동 866-7
4th row경상남도 거제시 옥포동 308 거제엘크루랜드마크.롯데마트
5th row경상남도 거제시 장승포동 499-23
ValueCountFrequency (%)
경상남도 944
 
18.7%
거제시 944
 
18.7%
고현동 154
 
3.1%
1호 143
 
2.8%
옥포동 115
 
2.3%
2호 85
 
1.7%
장평동 75
 
1.5%
아주동 72
 
1.4%
일운면 60
 
1.2%
사등면 60
 
1.2%
Other values (1057) 2383
47.3%
2024-04-21T03:36:19.158980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4375
19.5%
상 1036
 
4.6%
제 1007
 
4.5%
거 1004
 
4.5%
남 986
 
4.4%
시 951
 
4.2%
경 948
 
4.2%
도 948
 
4.2%
1 908
 
4.0%
지 801
 
3.6%
Other values (271) 9473
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13893
61.9%
Space Separator 4375
 
19.5%
Decimal Number 4022
 
17.9%
Dash Punctuation 102
 
0.5%
Uppercase Letter 23
 
0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1036
 
7.5%
제 1007
 
7.2%
거 1004
 
7.2%
남 986
 
7.1%
시 951
 
6.8%
경 948
 
6.8%
도 948
 
6.8%
지 801
 
5.8%
번 761
 
5.5%
동 738
 
5.3%
Other values (243) 4713
33.9%
Decimal Number
ValueCountFrequency (%)
1 908
22.6%
2 484
12.0%
3 409
10.2%
5 358
 
8.9%
4 339
 
8.4%
9 332
 
8.3%
6 321
 
8.0%
0 309
 
7.7%
7 286
 
7.1%
8 276
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
A 5
21.7%
K 4
17.4%
B 3
13.0%
P 3
13.0%
R 2
 
8.7%
I 2
 
8.7%
T 2
 
8.7%
S 1
 
4.3%
L 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
· 1
 
25.0%
Space Separator
ValueCountFrequency (%)
4375
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13894
61.9%
Common 8516
38.0%
Latin 27
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1036
 
7.5%
제 1007
 
7.2%
거 1004
 
7.2%
남 986
 
7.1%
시 951
 
6.8%
경 948
 
6.8%
도 948
 
6.8%
지 801
 
5.8%
번 761
 
5.5%
동 738
 
5.3%
Other values (244) 4714
33.9%
Common
ValueCountFrequency (%)
4375
51.4%
1 908
 
10.7%
2 484
 
5.7%
3 409
 
4.8%
5 358
 
4.2%
4 339
 
4.0%
9 332
 
3.9%
6 321
 
3.8%
0 309
 
3.6%
7 286
 
3.4%
Other values (7) 395
 
4.6%
Latin
ValueCountFrequency (%)
A 5
18.5%
K 4
14.8%
e 4
14.8%
B 3
11.1%
P 3
11.1%
R 2
 
7.4%
I 2
 
7.4%
T 2
 
7.4%
S 1
 
3.7%
L 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13893
61.9%
ASCII 8542
38.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4375
51.2%
1 908
 
10.6%
2 484
 
5.7%
3 409
 
4.8%
5 358
 
4.2%
4 339
 
4.0%
9 332
 
3.9%
6 321
 
3.8%
0 309
 
3.6%
7 286
 
3.3%
Other values (16) 421
 
4.9%
Hangul
ValueCountFrequency (%)
상 1036
 
7.5%
제 1007
 
7.2%
거 1004
 
7.2%
남 986
 
7.1%
시 951
 
6.8%
경 948
 
6.8%
도 948
 
6.8%
지 801
 
5.8%
번 761
 
5.5%
동 738
 
5.3%
Other values (243) 4713
33.9%
None
ValueCountFrequency (%)
㈜ 1
50.0%
· 1
50.0%

업소도로명주소
Text

Distinct907
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-21T03:36:19.411085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length52
Mean length25.341102
Min length1

Characters and Unicode

Total characters23922
Distinct characters294
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

Unique890 ?
Unique (%)94.3%

Sample

1st row경상남도 거제시 능포로2길 61. 1층 (능포동)
2nd row경상남도 거제시 연초면 소오비길 37
3rd row경상남도 거제시 국산6길 20 (옥포동)
4th row경상남도 거제시 서간도길 9-9 (옥포동. 거제엘크루랜드마크.롯데마트)
5th row경상남도 거제시 장승포로 21-1. 1층 (장승포동)
ValueCountFrequency (%)
거제시 926
 
18.1%
경상남도 916
 
17.9%
고현동 138
 
2.7%
1층 107
 
2.1%
옥포동 94
 
1.8%
거제대로 74
 
1.4%
장평동 65
 
1.3%
아주동 64
 
1.3%
사등면 53
 
1.0%
일운면 47
 
0.9%
Other values (1072) 2630
51.4%
2024-04-21T03:36:19.792463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4234
 
17.7%
제 1193
 
5.0%
거 1177
 
4.9%
상 1062
 
4.4%
1 1054
 
4.4%
남 997
 
4.2%
도 931
 
3.9%
시 931
 
3.9%
경 930
 
3.9%
동 763
 
3.2%
Other values (284) 10650
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14250
59.6%
Space Separator 4234
 
17.7%
Decimal Number 3702
 
15.5%
Close Punctuation 556
 
2.3%
Open Punctuation 556
 
2.3%
Other Punctuation 419
 
1.8%
Dash Punctuation 170
 
0.7%
Uppercase Letter 28
 
0.1%
Lowercase Letter 6
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1193
 
8.4%
거 1177
 
8.3%
상 1062
 
7.5%
남 997
 
7.0%
도 931
 
6.5%
시 931
 
6.5%
경 930
 
6.5%
동 763
 
5.4%
로 754
 
5.3%
길 414
 
2.9%
Other values (255) 5098
35.8%
Decimal Number
ValueCountFrequency (%)
1 1054
28.5%
2 513
13.9%
3 405
 
10.9%
0 375
 
10.1%
4 299
 
8.1%
5 282
 
7.6%
6 229
 
6.2%
7 223
 
6.0%
9 162
 
4.4%
8 160
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 8
28.6%
A 6
21.4%
K 4
14.3%
R 2
 
7.1%
I 2
 
7.1%
P 2
 
7.1%
C 1
 
3.6%
T 1
 
3.6%
D 1
 
3.6%
S 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 416
99.3%
, 2
 
0.5%
· 1
 
0.2%
Space Separator
ValueCountFrequency (%)
4234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 556
100.0%
Open Punctuation
ValueCountFrequency (%)
( 556
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14251
59.6%
Common 9637
40.3%
Latin 34
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1193
 
8.4%
거 1177
 
8.3%
상 1062
 
7.5%
남 997
 
7.0%
도 931
 
6.5%
시 931
 
6.5%
경 930
 
6.5%
동 763
 
5.4%
로 754
 
5.3%
길 414
 
2.9%
Other values (256) 5099
35.8%
Common
ValueCountFrequency (%)
4234
43.9%
1 1054
 
10.9%
) 556
 
5.8%
( 556
 
5.8%
2 513
 
5.3%
. 416
 
4.3%
3 405
 
4.2%
0 375
 
3.9%
4 299
 
3.1%
5 282
 
2.9%
Other values (7) 947
 
9.8%
Latin
ValueCountFrequency (%)
B 8
23.5%
e 6
17.6%
A 6
17.6%
K 4
11.8%
R 2
 
5.9%
I 2
 
5.9%
P 2
 
5.9%
C 1
 
2.9%
T 1
 
2.9%
D 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14250
59.6%
ASCII 9670
40.4%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4234
43.8%
1 1054
 
10.9%
) 556
 
5.7%
( 556
 
5.7%
2 513
 
5.3%
. 416
 
4.3%
3 405
 
4.2%
0 375
 
3.9%
4 299
 
3.1%
5 282
 
2.9%
Other values (17) 980
 
10.1%
Hangul
ValueCountFrequency (%)
제 1193
 
8.4%
거 1177
 
8.3%
상 1062
 
7.5%
남 997
 
7.0%
도 931
 
6.5%
시 931
 
6.5%
경 930
 
6.5%
동 763
 
5.4%
로 754
 
5.3%
길 414
 
2.9%
Other values (255) 5098
35.8%
None
ValueCountFrequency (%)
㈜ 1
50.0%
· 1
50.0%

위도
Real number (ℝ)

Distinct815
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.880075
Minimum34.705454
Maximum35.028378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-04-21T03:36:19.911134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.705454
5-th percentile34.784482
Q134.866913
median34.887625
Q334.895429
95-th percentile34.964277
Maximum35.028378
Range0.322924
Interquartile range (IQR)0.0285155

Descriptive statistics

Standard deviation0.048558009
Coefficient of variation (CV)0.0013921418
Kurtosis2.7822107
Mean34.880075
Median Absolute Deviation (MAD)0.0138095
Skewness-0.6571745
Sum32926.791
Variance0.0023578803
MonotonicityNot monotonic
2024-04-21T03:36:20.024189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.888363 18
 
1.9%
34.881668 11
 
1.2%
34.89139 5
 
0.5%
34.876861 5
 
0.5%
34.896122 4
 
0.4%
34.893967 4
 
0.4%
34.893594 4
 
0.4%
34.89012 3
 
0.3%
34.891051 3
 
0.3%
34.89064 3
 
0.3%
Other values (805) 884
93.6%
ValueCountFrequency (%)
34.705454 1
0.1%
34.71099 1
0.1%
34.714224 1
0.1%
34.71445 1
0.1%
34.714744 1
0.1%
34.720807 1
0.1%
34.721481 1
0.1%
34.722362 1
0.1%
34.725155 2
0.2%
34.725787 1
0.1%
ValueCountFrequency (%)
35.028378 2
0.2%
35.026989 1
0.1%
35.020834 1
0.1%
35.014709 1
0.1%
35.01196 1
0.1%
35.011041 1
0.1%
35.00942 1
0.1%
35.007887 1
0.1%
35.006031 1
0.1%
35.005203 1
0.1%

경도
Real number (ℝ)

Distinct814
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64968
Minimum128.46528
Maximum128.73803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-04-21T03:36:20.132895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.46528
5-th percentile128.53094
Q1128.6185
median128.64409
Q3128.69427
95-th percentile128.72985
Maximum128.73803
Range0.272743
Interquartile range (IQR)0.07577

Descriptive statistics

Standard deviation0.056894676
Coefficient of variation (CV)0.00044224497
Kurtosis0.30317727
Mean128.64968
Median Absolute Deviation (MAD)0.044046
Skewness-0.68672682
Sum121445.3
Variance0.0032370042
MonotonicityNot monotonic
2024-04-21T03:36:20.239711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.620302 18
 
1.9%
128.725313 11
 
1.2%
128.730215 5
 
0.5%
128.624044 5
 
0.5%
128.626785 4
 
0.4%
128.693984 4
 
0.4%
128.68924 4
 
0.4%
128.622394 3
 
0.3%
128.628797 3
 
0.3%
128.643513 3
 
0.3%
Other values (804) 884
93.6%
ValueCountFrequency (%)
128.465283 1
0.1%
128.474417 1
0.1%
128.474621 2
0.2%
128.476603 1
0.1%
128.47736 1
0.1%
128.479124 1
0.1%
128.479185 1
0.1%
128.479419 1
0.1%
128.479503 1
0.1%
128.480026 2
0.2%
ValueCountFrequency (%)
128.738026 1
0.1%
128.737641 1
0.1%
128.736851 1
0.1%
128.736581 1
0.1%
128.736502 1
0.1%
128.735713 1
0.1%
128.735113 1
0.1%
128.734946 1
0.1%
128.733915 1
0.1%
128.733722 1
0.1%

업소전화번호
Text

MISSING 

Distinct373
Distinct (%)83.8%
Missing499
Missing (%)52.9%
Memory size7.5 KiB
2024-04-21T03:36:20.450608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.591011
Min length1

Characters and Unicode

Total characters4713
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique362 ?
Unique (%)81.3%

Sample

1st row055-641-2500
2nd row070-4250-8680
3rd row055-688-6620
4th row055-633-0003
5th row055-681-8927
ValueCountFrequency (%)
055-735-1037 7
 
1.8%
051-644-4675 3
 
0.8%
055-633-1056 2
 
0.5%
055-636-4234 2
 
0.5%
055-636-8020 2
 
0.5%
051-513-4850 2
 
0.5%
055-636-7800 2
 
0.5%
055-636-9522 2
 
0.5%
055-687-7296 2
 
0.5%
055-635-3212 2
 
0.5%
Other values (362) 362
93.3%
2024-04-21T03:36:20.781746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 962
20.4%
- 775
16.4%
0 613
13.0%
6 584
12.4%
3 420
8.9%
8 319
 
6.8%
2 247
 
5.2%
1 232
 
4.9%
7 214
 
4.5%
4 173
 
3.7%
Other values (2) 174
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3881
82.3%
Dash Punctuation 775
 
16.4%
Space Separator 57
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 962
24.8%
0 613
15.8%
6 584
15.0%
3 420
10.8%
8 319
 
8.2%
2 247
 
6.4%
1 232
 
6.0%
7 214
 
5.5%
4 173
 
4.5%
9 117
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 775
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4713
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 962
20.4%
- 775
16.4%
0 613
13.0%
6 584
12.4%
3 420
8.9%
8 319
 
6.8%
2 247
 
5.2%
1 232
 
4.9%
7 214
 
4.5%
4 173
 
3.7%
Other values (2) 174
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4713
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 962
20.4%
- 775
16.4%
0 613
13.0%
6 584
12.4%
3 420
8.9%
8 319
 
6.8%
2 247
 
5.2%
1 232
 
4.9%
7 214
 
4.5%
4 173
 
3.7%
Other values (2) 174
 
3.7%

지정일자
Date

Distinct771
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum1980-06-30 00:00:00
Maximum2021-08-24 00:00:00
2024-04-21T03:36:20.902285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:36:21.012305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
정상영업
944 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 944
100.0%

Length

2024-04-21T03:36:21.114966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:36:21.184796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 944
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2021-09-01
944 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-01
2nd row2021-09-01
3rd row2021-09-01
4th row2021-09-01
5th row2021-09-01

Common Values

ValueCountFrequency (%)
2021-09-01 944
100.0%

Length

2024-04-21T03:36:21.256560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:36:21.324549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-01 944
100.0%

Interactions

2024-04-21T03:36:17.597348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:36:17.386129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:36:17.679866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:36:17.518262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:36:21.367518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.658
경도0.6581.000
2024-04-21T03:36:21.431806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.032
경도-0.0321.000

Missing values

2024-04-21T03:36:17.784868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:36:17.895281image/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

업소명업소지번주소업소도로명주소위도경도업소전화번호지정일자영업구분기준일자
0세븐일레븐 거제능포점경상남도 거제시 능포동 660-6경상남도 거제시 능포로2길 61. 1층 (능포동)34.87673128.732522<NA>2021-08-23정상영업2021-09-01
1미니스톱 거제오비점경상남도 거제시 연초면 오비리 1164-2경상남도 거제시 연초면 소오비길 3734.899627128.629829<NA>2021-08-24정상영업2021-09-01
2씨유 거제옥포원룸점경상남도 거제시 옥포동 866-7경상남도 거제시 국산6길 20 (옥포동)34.897329128.694071<NA>2021-08-19정상영업2021-09-01
3롯데쇼핑(주) 롯데마트 거제점경상남도 거제시 옥포동 308 거제엘크루랜드마크.롯데마트경상남도 거제시 서간도길 9-9 (옥포동. 거제엘크루랜드마크.롯데마트)34.887426128.691745055-641-25002021-08-11정상영업2021-09-01
4로또7(lotto7)경상남도 거제시 장승포동 499-23경상남도 거제시 장승포로 21-1. 1층 (장승포동)34.868184128.726562<NA>2021-08-06정상영업2021-09-01
5세븐일레븐 거제아주원룸점경상남도 거제시 아주동 349-4경상남도 거제시 탑곡로4길 32. 로뎀빌 (아주동)34.865383128.692249<NA>2021-07-29정상영업2021-09-01
6(주)푸르웰경상남도 거제시 장목면 율천리 산 41-5경상남도 거제시 장목면 거가대로 106834.973338128.692873070-4250-86802021-07-29정상영업2021-09-01
7세븐일레븐거제영진자이온점경상남도 거제시 사등면 사곡리 832-9경상남도 거제시 사등면 두동로 54-40 영진자이온아파트 2단지 213동 104호34.89486128.567308<NA>2021-07-28정상영업2021-09-01
8이마트24거제남서로점경상남도 거제시 거제면 내간리 56-1경상남도 거제시 거제면 거제남서로 381334.845825128.564269<NA>2021-07-22정상영업2021-09-01
9씨유거제장승포차점경상남도 거제시 장승포동 699-3경상남도 거제시 장승포로2길 17 (장승포동)34.867721128.727083<NA>2021-07-19정상영업2021-09-01
업소명업소지번주소업소도로명주소위도경도업소전화번호지정일자영업구분기준일자
934가족슈퍼경상남도 거제시 고현동 959번지 5호 고려아파트상가 101호경상남도 거제시 서문로1길 20 (고현동)34.889712128.617402055-636-58461997-11-11정상영업2021-09-01
935상호없음경상남도 거제시 고현동 755번지 8호경상남도 거제시 고현로6길 6. 101동 (고현동.화성타워맨A동)34.885041128.6211081992-01-16정상영업2021-09-01
936신우성경상남도 거제시 고현동 961번지 신우성경상남도 거제시 고현로9길 36. A동 202호 (고현동.신우성)34.888363128.620302055-633-69181997-11-11정상영업2021-09-01
937상호없음경상남도 거제시 장평동 513호-34.891752128.6042011998-01-23정상영업2021-09-01
938미니슈퍼경상남도 거제시 고현동 78번지경상남도 거제시 고현천로 80. 111동 (고현동.동문A)34.884967128.626676055-637-04061998-11-11정상영업2021-09-01
939상호없음경상남도 거제시 장평동 368번지 18호경상남도 거제시 장평1로 103 (장평동)34.893033128.6094071998-03-16정상영업2021-09-01
940하동상회경상남도 거제시 장평동 721-2-34.889527128.603867055-632-06201998-12-14정상영업2021-09-01
941이마트24 거제삼성중공업점경상남도 거제시 장평동 611번지 2호 용마상가 B-102호경상남도 거제시 장평1로16길 15 (장평동.용마상가 B-102호)34.892119128.603076055-633-66961998-12-02정상영업2021-09-01
942상호없음경상남도 거제시 수월동 934번지 1호경상남도 거제시 해명로 63 (수월동)34.891683128.6456551985-06-30정상영업2021-09-01
943금탑사진관경상남도 거제시 고현동 37번지 4호경상남도 거제시 고현로 108-1 (고현동)34.886883128.6240431982-06-21정상영업2021-09-01