Overview

Dataset statistics

Number of variables11
Number of observations1129
Missing cells537
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory98.3 KiB
Average record size in memory89.1 B

Variable types

Numeric1
Text5
DateTime1
Categorical4

Dataset

Description강원도 강릉시 담배소매인지정현황에 대한 데이터로 연번, 지정번호, 업소명, 업소지번주소, 업소도로명주소, 업소전화번호, 지정일자, 영업구분 , 담당부서, 담당부서전화번호, 데이터기준일자 등의 항목을 제공합니다.
Author강원도 강릉시
URLhttps://www.data.go.kr/data/15021204/fileData.do

Alerts

영업구분 has constant value ""Constant
담당부서 has constant value ""Constant
담당부서전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업소전화번호 has 536 (47.5%) missing valuesMissing
연번 has unique valuesUnique
지정번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:33:21.203948
Analysis finished2023-12-11 23:33:22.554357
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean565
Minimum1
Maximum1129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2023-12-12T08:33:22.648084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile57.4
Q1283
median565
Q3847
95-th percentile1072.6
Maximum1129
Range1128
Interquartile range (IQR)564

Descriptive statistics

Standard deviation326.05853
Coefficient of variation (CV)0.57709475
Kurtosis-1.2
Mean565
Median Absolute Deviation (MAD)282
Skewness0
Sum637885
Variance106314.17
MonotonicityStrictly increasing
2023-12-12T08:33:22.822701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
751 1
 
0.1%
757 1
 
0.1%
756 1
 
0.1%
755 1
 
0.1%
754 1
 
0.1%
753 1
 
0.1%
752 1
 
0.1%
750 1
 
0.1%
759 1
 
0.1%
Other values (1119) 1119
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1129 1
0.1%
1128 1
0.1%
1127 1
0.1%
1126 1
0.1%
1125 1
0.1%
1124 1
0.1%
1123 1
0.1%
1122 1
0.1%
1121 1
0.1%
1120 1
0.1%

지정번호
Text

UNIQUE 

Distinct1129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2023-12-12T08:33:23.107299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters25967
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

Unique1129 ?
Unique (%)100.0%

Sample

1st row2022-4200322-05-6-00044
2nd row2022-4200322-05-6-00043
3rd row2022-4200322-05-6-00042
4th row2022-4200322-05-6-00041
5th row2022-4200322-05-6-00040
ValueCountFrequency (%)
2022-4200322-05-6-00044 1
 
0.1%
2007-4200115-05-6-00062 1
 
0.1%
2007-4200115-05-6-00018 1
 
0.1%
2007-4200115-05-6-00020 1
 
0.1%
2007-4200115-05-6-00021 1
 
0.1%
2007-4200115-05-6-00022 1
 
0.1%
2006-4200085-05-6-00153 1
 
0.1%
2007-4200115-05-6-00046 1
 
0.1%
2007-4200115-05-6-00065 1
 
0.1%
2007-4200115-05-6-00014 1
 
0.1%
Other values (1119) 1119
99.1%
2023-12-12T08:33:23.473236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8973
34.6%
- 4516
17.4%
2 3697
14.2%
5 2059
 
7.9%
1 1687
 
6.5%
6 1433
 
5.5%
4 1420
 
5.5%
9 725
 
2.8%
3 602
 
2.3%
8 453
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21451
82.6%
Dash Punctuation 4516
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8973
41.8%
2 3697
17.2%
5 2059
 
9.6%
1 1687
 
7.9%
6 1433
 
6.7%
4 1420
 
6.6%
9 725
 
3.4%
3 602
 
2.8%
8 453
 
2.1%
7 402
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 4516
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25967
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8973
34.6%
- 4516
17.4%
2 3697
14.2%
5 2059
 
7.9%
1 1687
 
6.5%
6 1433
 
5.5%
4 1420
 
5.5%
9 725
 
2.8%
3 602
 
2.3%
8 453
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8973
34.6%
- 4516
17.4%
2 3697
14.2%
5 2059
 
7.9%
1 1687
 
6.5%
6 1433
 
5.5%
4 1420
 
5.5%
9 725
 
2.8%
3 602
 
2.3%
8 453
 
1.7%

업소명
Text

Distinct1100
Distinct (%)97.5%
Missing1
Missing (%)0.1%
Memory size8.9 KiB
2023-12-12T08:33:23.770454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length8.1861702
Min length2

Characters and Unicode

Total characters9234
Distinct characters517
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

Unique1074 ?
Unique (%)95.2%

Sample

1st row지에스(GS)25 강릉사천점
2nd row세븐일레븐 강릉해안로점
3rd row세븐일레븐 강릉경포로점
4th row오션슈퍼
5th row솔향 골프용품
ValueCountFrequency (%)
세븐일레븐 80
 
5.3%
씨유 35
 
2.3%
미니스톱 29
 
1.9%
이마트24 27
 
1.8%
지에스(gs)25 17
 
1.1%
국군복지단 17
 
1.1%
인제지원본부 16
 
1.1%
주식회사 13
 
0.9%
주)코리아세븐 13
 
0.9%
지에스25 6
 
0.4%
Other values (1158) 1270
83.4%
2023-12-12T08:33:24.270833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 478
 
5.2%
397
 
4.3%
강 396
 
4.3%
릉 353
 
3.8%
븐 222
 
2.4%
마 182
 
2.0%
트 168
 
1.8%
스 167
 
1.8%
퍼 148
 
1.6%
2 146
 
1.6%
Other values (507) 6577
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7963
86.2%
Space Separator 397
 
4.3%
Decimal Number 332
 
3.6%
Uppercase Letter 247
 
2.7%
Open Punctuation 125
 
1.4%
Close Punctuation 125
 
1.4%
Lowercase Letter 30
 
0.3%
Other Punctuation 11
 
0.1%
Math Symbol 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 478
 
6.0%
강 396
 
5.0%
릉 353
 
4.4%
븐 222
 
2.8%
마 182
 
2.3%
트 168
 
2.1%
스 167
 
2.1%
퍼 148
 
1.9%
슈 143
 
1.8%
주 141
 
1.8%
Other values (458) 5565
69.9%
Uppercase Letter
ValueCountFrequency (%)
S 80
32.4%
G 75
30.4%
C 27
 
10.9%
D 14
 
5.7%
U 11
 
4.5%
I 7
 
2.8%
K 6
 
2.4%
O 6
 
2.4%
T 5
 
2.0%
A 3
 
1.2%
Other values (8) 13
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
23.3%
f 3
10.0%
r 3
10.0%
s 3
10.0%
l 3
10.0%
m 2
 
6.7%
a 2
 
6.7%
d 1
 
3.3%
t 1
 
3.3%
p 1
 
3.3%
Other values (4) 4
13.3%
Decimal Number
ValueCountFrequency (%)
2 146
44.0%
5 100
30.1%
4 41
 
12.3%
1 11
 
3.3%
8 9
 
2.7%
6 9
 
2.7%
0 7
 
2.1%
3 6
 
1.8%
7 2
 
0.6%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/ 6
54.5%
& 5
45.5%
Space Separator
ValueCountFrequency (%)
397
100.0%
Open Punctuation
ValueCountFrequency (%)
( 125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7963
86.2%
Common 994
 
10.8%
Latin 277
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 478
 
6.0%
강 396
 
5.0%
릉 353
 
4.4%
븐 222
 
2.8%
마 182
 
2.3%
트 168
 
2.1%
스 167
 
2.1%
퍼 148
 
1.9%
슈 143
 
1.8%
주 141
 
1.8%
Other values (458) 5565
69.9%
Latin
ValueCountFrequency (%)
S 80
28.9%
G 75
27.1%
C 27
 
9.7%
D 14
 
5.1%
U 11
 
4.0%
e 7
 
2.5%
I 7
 
2.5%
K 6
 
2.2%
O 6
 
2.2%
T 5
 
1.8%
Other values (22) 39
14.1%
Common
ValueCountFrequency (%)
397
39.9%
2 146
 
14.7%
( 125
 
12.6%
) 125
 
12.6%
5 100
 
10.1%
4 41
 
4.1%
1 11
 
1.1%
8 9
 
0.9%
6 9
 
0.9%
0 7
 
0.7%
Other values (7) 24
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7963
86.2%
ASCII 1271
 
13.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 478
 
6.0%
강 396
 
5.0%
릉 353
 
4.4%
븐 222
 
2.8%
마 182
 
2.3%
트 168
 
2.1%
스 167
 
2.1%
퍼 148
 
1.9%
슈 143
 
1.8%
주 141
 
1.8%
Other values (458) 5565
69.9%
ASCII
ValueCountFrequency (%)
397
31.2%
2 146
 
11.5%
( 125
 
9.8%
) 125
 
9.8%
5 100
 
7.9%
S 80
 
6.3%
G 75
 
5.9%
4 41
 
3.2%
C 27
 
2.1%
D 14
 
1.1%
Other values (39) 141
 
11.1%

업소지번주소
Text

Distinct1040
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2023-12-12T08:33:24.587710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length18.497786
Min length1

Characters and Unicode

Total characters20884
Distinct characters234
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

Unique987 ?
Unique (%)87.4%

Sample

1st row강원도 강릉시 사천면 미노리 360-19
2nd row강원도 강릉시 안현동 216-34
3rd row강원도 강릉시 안현동 861-8
4th row강원도 강릉시 강동면 정동진리 50-2
5th row강원도 강릉시 교동 597
ValueCountFrequency (%)
강원도 1093
22.4%
강릉시 1093
22.4%
주문진읍 130
 
2.7%
교동 118
 
2.4%
포남동 115
 
2.4%
교항리 58
 
1.2%
노암동 58
 
1.2%
강동면 55
 
1.1%
주문리 55
 
1.1%
옥천동 54
 
1.1%
Other values (1198) 2040
41.9%
2023-12-12T08:33:25.082138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3835
18.4%
강 2295
 
11.0%
릉 1112
 
5.3%
시 1107
 
5.3%
도 1101
 
5.3%
원 1099
 
5.3%
1 1092
 
5.2%
동 876
 
4.2%
- 840
 
4.0%
2 625
 
3.0%
Other values (224) 6902
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11642
55.7%
Decimal Number 4538
 
21.7%
Space Separator 3835
 
18.4%
Dash Punctuation 840
 
4.0%
Other Punctuation 11
 
0.1%
Uppercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 2295
19.7%
릉 1112
 
9.6%
시 1107
 
9.5%
도 1101
 
9.5%
원 1099
 
9.4%
동 876
 
7.5%
리 335
 
2.9%
문 219
 
1.9%
진 211
 
1.8%
교 209
 
1.8%
Other values (197) 3078
26.4%
Decimal Number
ValueCountFrequency (%)
1 1092
24.1%
2 625
13.8%
3 457
10.1%
8 389
 
8.6%
6 360
 
7.9%
0 359
 
7.9%
4 351
 
7.7%
5 324
 
7.1%
7 308
 
6.8%
9 273
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
H 2
22.2%
L 2
22.2%
A 1
11.1%
D 1
11.1%
B 1
11.1%
C 1
11.1%
S 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 9
81.8%
. 1
 
9.1%
/ 1
 
9.1%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
∼ 2
50.0%
Space Separator
ValueCountFrequency (%)
3835
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 840
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11642
55.7%
Common 9232
44.2%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 2295
19.7%
릉 1112
 
9.6%
시 1107
 
9.5%
도 1101
 
9.5%
원 1099
 
9.4%
동 876
 
7.5%
리 335
 
2.9%
문 219
 
1.9%
진 211
 
1.8%
교 209
 
1.8%
Other values (197) 3078
26.4%
Common
ValueCountFrequency (%)
3835
41.5%
1 1092
 
11.8%
- 840
 
9.1%
2 625
 
6.8%
3 457
 
5.0%
8 389
 
4.2%
6 360
 
3.9%
0 359
 
3.9%
4 351
 
3.8%
5 324
 
3.5%
Other values (9) 600
 
6.5%
Latin
ValueCountFrequency (%)
H 2
20.0%
L 2
20.0%
e 1
10.0%
A 1
10.0%
D 1
10.0%
B 1
10.0%
C 1
10.0%
S 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11642
55.7%
ASCII 9240
44.2%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3835
41.5%
1 1092
 
11.8%
- 840
 
9.1%
2 625
 
6.8%
3 457
 
4.9%
8 389
 
4.2%
6 360
 
3.9%
0 359
 
3.9%
4 351
 
3.8%
5 324
 
3.5%
Other values (16) 608
 
6.6%
Hangul
ValueCountFrequency (%)
강 2295
19.7%
릉 1112
 
9.6%
시 1107
 
9.5%
도 1101
 
9.5%
원 1099
 
9.4%
동 876
 
7.5%
리 335
 
2.9%
문 219
 
1.9%
진 211
 
1.8%
교 209
 
1.8%
Other values (197) 3078
26.4%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%

업소도로명주소
Text

Distinct827
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2023-12-12T08:33:25.475617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length54
Mean length18.739593
Min length1

Characters and Unicode

Total characters21157
Distinct characters293
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

Unique811 ?
Unique (%)71.8%

Sample

1st row강원도 강릉시 사천면 본동길 1. 1층
2nd row강원도 강릉시 해안로 659-1. 1층 (안현동)
3rd row강원도 강릉시 경포로463번길 23. 1층 (안현동)
4th row강원도 강릉시 강동면 헌화로 982-20. 나동
5th row강원도 강릉시 성곡고양길5번길 4. 3층 (교동)
ValueCountFrequency (%)
강원도 841
 
18.1%
강릉시 841
 
18.1%
1층 135
 
2.9%
주문진읍 106
 
2.3%
교동 90
 
1.9%
포남동 90
 
1.9%
해안로 58
 
1.2%
강동면 49
 
1.1%
입암동 41
 
0.9%
홍제동 38
 
0.8%
Other values (982) 2367
50.8%
2023-12-12T08:33:25.990461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4174
19.7%
강 1900
 
9.0%
릉 900
 
4.3%
원 874
 
4.1%
시 864
 
4.1%
도 853
 
4.0%
1 850
 
4.0%
동 728
 
3.4%
로 584
 
2.8%
( 583
 
2.8%
Other values (283) 8847
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12022
56.8%
Space Separator 4174
 
19.7%
Decimal Number 3295
 
15.6%
Open Punctuation 583
 
2.8%
Close Punctuation 583
 
2.8%
Other Punctuation 304
 
1.4%
Dash Punctuation 160
 
0.8%
Math Symbol 20
 
0.1%
Uppercase Letter 15
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 1900
15.8%
릉 900
 
7.5%
원 874
 
7.3%
시 864
 
7.2%
도 853
 
7.1%
동 728
 
6.1%
로 584
 
4.9%
길 411
 
3.4%
면 170
 
1.4%
주 167
 
1.4%
Other values (258) 4571
38.0%
Decimal Number
ValueCountFrequency (%)
1 850
25.8%
2 513
15.6%
3 334
 
10.1%
4 277
 
8.4%
0 271
 
8.2%
5 255
 
7.7%
6 222
 
6.7%
7 213
 
6.5%
9 183
 
5.6%
8 177
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 5
33.3%
H 3
20.0%
L 3
20.0%
A 2
 
13.3%
E 1
 
6.7%
S 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 268
88.2%
. 36
 
11.8%
Math Symbol
ValueCountFrequency (%)
~ 18
90.0%
∼ 2
 
10.0%
Space Separator
ValueCountFrequency (%)
4174
100.0%
Open Punctuation
ValueCountFrequency (%)
( 583
100.0%
Close Punctuation
ValueCountFrequency (%)
) 583
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12022
56.8%
Common 9119
43.1%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 1900
15.8%
릉 900
 
7.5%
원 874
 
7.3%
시 864
 
7.2%
도 853
 
7.1%
동 728
 
6.1%
로 584
 
4.9%
길 411
 
3.4%
면 170
 
1.4%
주 167
 
1.4%
Other values (258) 4571
38.0%
Common
ValueCountFrequency (%)
4174
45.8%
1 850
 
9.3%
( 583
 
6.4%
) 583
 
6.4%
2 513
 
5.6%
3 334
 
3.7%
4 277
 
3.0%
0 271
 
3.0%
, 268
 
2.9%
5 255
 
2.8%
Other values (8) 1011
 
11.1%
Latin
ValueCountFrequency (%)
B 5
31.2%
H 3
18.8%
L 3
18.8%
A 2
 
12.5%
e 1
 
6.2%
E 1
 
6.2%
S 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12022
56.8%
ASCII 9133
43.2%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4174
45.7%
1 850
 
9.3%
( 583
 
6.4%
) 583
 
6.4%
2 513
 
5.6%
3 334
 
3.7%
4 277
 
3.0%
0 271
 
3.0%
, 268
 
2.9%
5 255
 
2.8%
Other values (14) 1025
 
11.2%
Hangul
ValueCountFrequency (%)
강 1900
15.8%
릉 900
 
7.5%
원 874
 
7.3%
시 864
 
7.2%
도 853
 
7.1%
동 728
 
6.1%
로 584
 
4.9%
길 411
 
3.4%
면 170
 
1.4%
주 167
 
1.4%
Other values (258) 4571
38.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%

업소전화번호
Text

MISSING 

Distinct490
Distinct (%)82.6%
Missing536
Missing (%)47.5%
Memory size8.9 KiB
2023-12-12T08:33:26.311707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.581788
Min length1

Characters and Unicode

Total characters6275
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

Unique481 ?
Unique (%)81.1%

Sample

1st row033-651-0382
2nd row033-642-6262
3rd row033-661-9599
4th row033-643-6102
5th row033-641-8289
ValueCountFrequency (%)
033-461-3505 20
 
3.9%
033-640-2037 3
 
0.6%
033-642-2212 3
 
0.6%
033-662-2470 2
 
0.4%
033-661-4109 2
 
0.4%
033-651-9595 2
 
0.4%
033-644-1213 2
 
0.4%
033-651-2212 2
 
0.4%
033-645-1638 1
 
0.2%
033-645-4568 1
 
0.2%
Other values (479) 479
92.6%
2023-12-12T08:33:26.744726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1286
20.5%
- 1031
16.4%
6 821
13.1%
0 772
12.3%
4 583
9.3%
5 400
 
6.4%
1 327
 
5.2%
2 312
 
5.0%
8 249
 
4.0%
7 232
 
3.7%
Other values (2) 262
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5168
82.4%
Dash Punctuation 1031
 
16.4%
Space Separator 76
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1286
24.9%
6 821
15.9%
0 772
14.9%
4 583
11.3%
5 400
 
7.7%
1 327
 
6.3%
2 312
 
6.0%
8 249
 
4.8%
7 232
 
4.5%
9 186
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 1031
100.0%
Space Separator
ValueCountFrequency (%)
76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6275
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1286
20.5%
- 1031
16.4%
6 821
13.1%
0 772
12.3%
4 583
9.3%
5 400
 
6.4%
1 327
 
5.2%
2 312
 
5.0%
8 249
 
4.0%
7 232
 
3.7%
Other values (2) 262
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1286
20.5%
- 1031
16.4%
6 821
13.1%
0 772
12.3%
4 583
9.3%
5 400
 
6.4%
1 327
 
5.2%
2 312
 
5.0%
8 249
 
4.0%
7 232
 
3.7%
Other values (2) 262
 
4.2%

지정일자
Date

Distinct833
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum1989-04-14 00:00:00
Maximum2022-07-25 00:00:00
2023-12-12T08:33:26.924374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:33:27.081947image/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 size8.9 KiB
정상영업
1129 

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 1129
100.0%

Length

2023-12-12T08:33:27.214149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:33:27.332170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 1129
100.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
일자리경제과
1129 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일자리경제과 1129
100.0%

Length

2023-12-12T08:33:27.443765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:33:27.551821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리경제과 1129
100.0%

담당부서전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
033-640-5542
1129 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-640-5542
2nd row033-640-5542
3rd row033-640-5542
4th row033-640-5542
5th row033-640-5542

Common Values

ValueCountFrequency (%)
033-640-5542 1129
100.0%

Length

2023-12-12T08:33:27.668245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:33:27.775264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-640-5542 1129
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2022-08-09
1129 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-09
2nd row2022-08-09
3rd row2022-08-09
4th row2022-08-09
5th row2022-08-09

Common Values

ValueCountFrequency (%)
2022-08-09 1129
100.0%

Length

2023-12-12T08:33:27.893309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:33:28.005513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-09 1129
100.0%

Interactions

2023-12-12T08:33:21.996712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T08:33:22.159148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:33:22.337756image/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.
2023-12-12T08:33:22.501687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번지정번호업소명업소지번주소업소도로명주소업소전화번호지정일자영업구분담당부서담당부서전화번호데이터기준일자
012022-4200322-05-6-00044지에스(GS)25 강릉사천점강원도 강릉시 사천면 미노리 360-19강원도 강릉시 사천면 본동길 1. 1층<NA>2022-07-25정상영업일자리경제과033-640-55422022-08-09
122022-4200322-05-6-00043세븐일레븐 강릉해안로점강원도 강릉시 안현동 216-34강원도 강릉시 해안로 659-1. 1층 (안현동)<NA>2022-07-20정상영업일자리경제과033-640-55422022-08-09
232022-4200322-05-6-00042세븐일레븐 강릉경포로점강원도 강릉시 안현동 861-8강원도 강릉시 경포로463번길 23. 1층 (안현동)<NA>2022-07-20정상영업일자리경제과033-640-55422022-08-09
342022-4200322-05-6-00041오션슈퍼강원도 강릉시 강동면 정동진리 50-2강원도 강릉시 강동면 헌화로 982-20. 나동<NA>2022-07-20정상영업일자리경제과033-640-55422022-08-09
452022-4200322-05-6-00040솔향 골프용품강원도 강릉시 교동 597강원도 강릉시 성곡고양길5번길 4. 3층 (교동)<NA>2022-07-20정상영업일자리경제과033-640-55422022-08-09
562022-4200322-05-6-00039(주)코리아세븐 강릉송정한신점강원도 강릉시 견소동 202 견소동 한신아파트강원도 강릉시 경강로2539번길 8. 상가동 101.102.107.108호 (견소동. 견소동 한신아파트)<NA>2022-07-13정상영업일자리경제과033-640-55422022-08-09
672022-4200322-05-6-00038세븐일레븐 포남으뜸점강원도 강릉시 포남동 1290-1 르네상스빌딩강원도 강릉시 하평1길 8. 르네상스빌딩 4동 1층 (포남동)<NA>2022-07-12정상영업일자리경제과033-640-55422022-08-09
782022-4200322-05-6-00037수제만두강원도 강릉시 옥계면 현내리 372-11강원도 강릉시 옥계면 현내시장길 73. 1층<NA>2022-07-08정상영업일자리경제과033-640-55422022-08-09
892022-4200322-05-6-00036세븐일레븐 일송점강원도 강릉시 포남동 1311-2강원도 강릉시 하평3길 12-1. 1층 (포남동)<NA>2022-07-08정상영업일자리경제과033-640-55422022-08-09
9102022-4200322-05-6-00035세븐일레븐 강릉입암주공점강원도 강릉시 입암동 246-2강원도 강릉시 성덕포남로 21-7 (입암동)<NA>2022-06-30정상영업일자리경제과033-640-55422022-08-09
연번지정번호업소명업소지번주소업소도로명주소업소전화번호지정일자영업구분담당부서담당부서전화번호데이터기준일자
111911201995-4200000-05-6-00044금강약국강원도 강릉시 주문진읍 교항14리 1033-661-00241995-04-01정상영업일자리경제과033-640-55422022-08-09
112011211995-4200000-05-6-00039뫼골미니강원도 강릉시 주문진읍 교항리033-662-63021995-04-01정상영업일자리경제과033-640-55422022-08-09
112111221995-4200000-05-6-00037철뚝상점강원도 강릉시 주문진읍 주문리 192033-662-28141995-04-01정상영업일자리경제과033-640-55422022-08-09
112211231995-4200000-05-6-00030해동낚시강원도 강릉시 주문진읍 주문리 312-295강원도 강릉시 주문진읍 항구3길 1033-662-63561995-04-01정상영업일자리경제과033-640-55422022-08-09
112311241995-4200000-05-6-00028항도미니슈퍼강원도 강릉시 주문진읍 교항리 195033-662-48411995-04-01정상영업일자리경제과033-640-55422022-08-09
112411251995-4200000-05-6-00027남부슈퍼강원도 강릉시 주문진읍 교항3리 44-7 소훈아파트상가-1강원도 강릉시 주문진읍 매맥이길 14-3 (소훈아파트상가-1)033-662-62781995-04-01정상영업일자리경제과033-640-55422022-08-09
112511261995-4200000-05-6-00021한남슈퍼강원도 강릉시 주문진읍 주문리 312-64강원도 강릉시 주문진읍 항구2길 10033-662-28571995-04-01정상영업일자리경제과033-640-55422022-08-09
112611271995-4200000-05-6-00014평화슈퍼강원도 강릉시 주문진읍 주문리 562강원도 강릉시 주문진읍 불당골길 50033-662-34471995-04-01정상영업일자리경제과033-640-55422022-08-09
112711281995-4200000-05-6-00008영미슈퍼강원도 강릉시 주문진읍 주문리 222-3강원도 강릉시 주문진읍 해안로 1855033-662-43731995-04-01정상영업일자리경제과033-640-55422022-08-09
112811291995-4200000-05-6-00004서울상회강원도 강릉시 주문진읍 장덕리033-661-51371995-04-01정상영업일자리경제과033-640-55422022-08-09