Overview

Dataset statistics

Number of variables11
Number of observations73
Missing cells28
Missing cells (%)3.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory91.8 B

Variable types

Numeric2
Text4
Categorical4
DateTime1

Dataset

Description강원도 강릉시 방문판매업소에 대한 데이터로 신고번호,신고일자, 법인또는상호, 운영상태, 소재지전화번호,소재지주소, 취급품목,담당부서,담당부서전화번호,데이터기준일자 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15042799/fileData.do

Alerts

운영상태 has constant value ""Constant
담당부서 has constant value ""Constant
담당부서전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
번호 is highly overall correlated with 신고일자High correlation
신고일자 is highly overall correlated with 번호High correlation
소재지전화번호 has 28 (38.4%) missing valuesMissing
번호 has unique valuesUnique
신고번호 has unique valuesUnique
소재지주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:02:02.433161
Analysis finished2023-12-12 14:02:03.596373
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-12T23:02:03.672538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q119
median37
Q355
95-th percentile69.4
Maximum73
Range72
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.217131
Coefficient of variation (CV)0.57343598
Kurtosis-1.2
Mean37
Median Absolute Deviation (MAD)18
Skewness0
Sum2701
Variance450.16667
MonotonicityStrictly increasing
2023-12-12T23:02:03.815342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
56 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%

신고번호
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T23:02:04.042906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters1679
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

Unique73 ?
Unique (%)100.0%

Sample

1st row2023-4201019-23-2-00002
2nd row2023-4201019-23-2-00001
3rd row2023-4200387-23-2-00004
4th row2023-4200387-23-2-00003
5th row2023-4200387-23-2-00002
ValueCountFrequency (%)
2023-4201019-23-2-00002 1
 
1.4%
2017-4200252-23-2-00009 1
 
1.4%
2012-4200115-23-2-00006 1
 
1.4%
2012-4200115-23-2-00011 1
 
1.4%
2013-4200115-23-2-00001 1
 
1.4%
2013-4200207-23-2-00004 1
 
1.4%
2013-4200207-23-2-00007 1
 
1.4%
2014-4200207-23-2-00005 1
 
1.4%
2014-4200207-23-2-00007 1
 
1.4%
2014-4200207-23-2-00009 1
 
1.4%
Other values (63) 63
86.3%
2023-12-12T23:02:04.379567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 513
30.6%
2 427
25.4%
- 292
17.4%
1 123
 
7.3%
3 118
 
7.0%
4 82
 
4.9%
5 47
 
2.8%
7 27
 
1.6%
9 21
 
1.3%
6 16
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1387
82.6%
Dash Punctuation 292
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 513
37.0%
2 427
30.8%
1 123
 
8.9%
3 118
 
8.5%
4 82
 
5.9%
5 47
 
3.4%
7 27
 
1.9%
9 21
 
1.5%
6 16
 
1.2%
8 13
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 292
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1679
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 513
30.6%
2 427
25.4%
- 292
17.4%
1 123
 
7.3%
3 118
 
7.0%
4 82
 
4.9%
5 47
 
2.8%
7 27
 
1.6%
9 21
 
1.3%
6 16
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1679
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 513
30.6%
2 427
25.4%
- 292
17.4%
1 123
 
7.3%
3 118
 
7.0%
4 82
 
4.9%
5 47
 
2.8%
7 27
 
1.6%
9 21
 
1.3%
6 16
 
1.0%

신고일자
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20150888
Minimum19961121
Maximum20230718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-12T23:02:04.552223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19961121
5-th percentile20021018
Q120120410
median20170713
Q320200419
95-th percentile20224634
Maximum20230718
Range269597
Interquartile range (IQR)80009

Descriptive statistics

Standard deviation64474.714
Coefficient of variation (CV)0.0031995966
Kurtosis0.28725606
Mean20150888
Median Absolute Deviation (MAD)30410
Skewness-1.0022729
Sum1.4710148 × 109
Variance4.1569888 × 109
MonotonicityNot monotonic
2023-12-12T23:02:04.708809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200324 2
 
2.7%
20130927 2
 
2.7%
20230718 1
 
1.4%
20170630 1
 
1.4%
20120515 1
 
1.4%
20120710 1
 
1.4%
20120827 1
 
1.4%
20130108 1
 
1.4%
20140514 1
 
1.4%
20140618 1
 
1.4%
Other values (61) 61
83.6%
ValueCountFrequency (%)
19961121 1
1.4%
19990412 1
1.4%
20010809 1
1.4%
20021008 1
1.4%
20021024 1
1.4%
20040621 1
1.4%
20050114 1
1.4%
20050402 1
1.4%
20060911 1
1.4%
20061115 1
1.4%
ValueCountFrequency (%)
20230718 1
1.4%
20230614 1
1.4%
20230321 1
1.4%
20230228 1
1.4%
20220905 1
1.4%
20220330 1
1.4%
20220323 1
1.4%
20220121 1
1.4%
20210914 1
1.4%
20210416 1
1.4%

법인또는상호
Text

Distinct72
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T23:02:04.981709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length8.2876712
Min length2

Characters and Unicode

Total characters605
Distinct characters189
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)97.3%

Sample

1st row숲에서
2nd row규리빙
3rd row강릉포남사랑
4th row홍삼생활건강
5th row하슬라통신
ValueCountFrequency (%)
주식회사 6
 
6.7%
마임서부지사 2
 
2.2%
에치와이 2
 
2.2%
korea 2
 
2.2%
대상웰라이프주문진지사 1
 
1.1%
오름 1
 
1.1%
삼보사랑주식회사 1
 
1.1%
솔향cuisine 1
 
1.1%
남양치즈영동대리점 1
 
1.1%
아름다운옷방 1
 
1.1%
Other values (72) 72
80.0%
2023-12-12T23:02:05.818062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
강 25
 
4.1%
리 20
 
3.3%
사 20
 
3.3%
릉 19
 
3.1%
17
 
2.8%
대 17
 
2.8%
점 16
 
2.6%
이 16
 
2.6%
주 13
 
2.1%
지 11
 
1.8%
Other values (179) 431
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 521
86.1%
Uppercase Letter 26
 
4.3%
Lowercase Letter 21
 
3.5%
Space Separator 17
 
2.8%
Close Punctuation 8
 
1.3%
Open Punctuation 8
 
1.3%
Decimal Number 3
 
0.5%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 25
 
4.8%
리 20
 
3.8%
사 20
 
3.8%
릉 19
 
3.6%
대 17
 
3.3%
점 16
 
3.1%
이 16
 
3.1%
주 13
 
2.5%
지 11
 
2.1%
동 10
 
1.9%
Other values (146) 354
67.9%
Uppercase Letter
ValueCountFrequency (%)
E 5
19.2%
I 4
15.4%
L 2
 
7.7%
F 2
 
7.7%
O 2
 
7.7%
A 2
 
7.7%
K 2
 
7.7%
C 1
 
3.8%
B 1
 
3.8%
S 1
 
3.8%
Other values (4) 4
15.4%
Lowercase Letter
ValueCountFrequency (%)
e 4
19.0%
i 2
9.5%
r 2
9.5%
l 2
9.5%
n 2
9.5%
c 2
9.5%
u 1
 
4.8%
s 1
 
4.8%
a 1
 
4.8%
o 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 522
86.3%
Latin 47
 
7.8%
Common 36
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 25
 
4.8%
리 20
 
3.8%
사 20
 
3.8%
릉 19
 
3.6%
대 17
 
3.3%
점 16
 
3.1%
이 16
 
3.1%
주 13
 
2.5%
지 11
 
2.1%
동 10
 
1.9%
Other values (147) 355
68.0%
Latin
ValueCountFrequency (%)
E 5
 
10.6%
e 4
 
8.5%
I 4
 
8.5%
i 2
 
4.3%
L 2
 
4.3%
F 2
 
4.3%
O 2
 
4.3%
A 2
 
4.3%
r 2
 
4.3%
l 2
 
4.3%
Other values (17) 20
42.6%
Common
ValueCountFrequency (%)
17
47.2%
) 8
22.2%
( 8
22.2%
1 2
 
5.6%
4 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 521
86.1%
ASCII 83
 
13.7%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
강 25
 
4.8%
리 20
 
3.8%
사 20
 
3.8%
릉 19
 
3.6%
대 17
 
3.3%
점 16
 
3.1%
이 16
 
3.1%
주 13
 
2.5%
지 11
 
2.1%
동 10
 
1.9%
Other values (146) 354
67.9%
ASCII
ValueCountFrequency (%)
17
20.5%
) 8
 
9.6%
( 8
 
9.6%
E 5
 
6.0%
e 4
 
4.8%
I 4
 
4.8%
i 2
 
2.4%
L 2
 
2.4%
F 2
 
2.4%
O 2
 
2.4%
Other values (22) 29
34.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
정상영업
73 

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 73
100.0%

Length

2023-12-12T23:02:05.985807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:06.101470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 73
100.0%

소재지전화번호
Text

MISSING 

Distinct44
Distinct (%)97.8%
Missing28
Missing (%)38.4%
Memory size716.0 B
2023-12-12T23:02:06.338176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.066667
Min length12

Characters and Unicode

Total characters543
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

Unique43 ?
Unique (%)95.6%

Sample

1st row033-641-9800
2nd row033-643-6041
3rd row033-651-0002
4th row033-647-4280
5th row070-7335-0033
ValueCountFrequency (%)
033-642-9901 2
 
4.4%
033-642-0505 1
 
2.2%
033-641-1555 1
 
2.2%
033-661-1032 1
 
2.2%
033-652-8854 1
 
2.2%
033-653-6400 1
 
2.2%
070-8224-8170 1
 
2.2%
033-647-0305 1
 
2.2%
033-642-7451 1
 
2.2%
033-641-5014 1
 
2.2%
Other values (34) 34
75.6%
2023-12-12T23:02:06.718877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 111
20.4%
- 90
16.6%
0 87
16.0%
6 60
11.0%
4 49
9.0%
1 32
 
5.9%
5 29
 
5.3%
2 25
 
4.6%
8 23
 
4.2%
7 21
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 453
83.4%
Dash Punctuation 90
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 111
24.5%
0 87
19.2%
6 60
13.2%
4 49
10.8%
1 32
 
7.1%
5 29
 
6.4%
2 25
 
5.5%
8 23
 
5.1%
7 21
 
4.6%
9 16
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 543
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 111
20.4%
- 90
16.6%
0 87
16.0%
6 60
11.0%
4 49
9.0%
1 32
 
5.9%
5 29
 
5.3%
2 25
 
4.6%
8 23
 
4.2%
7 21
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 543
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 111
20.4%
- 90
16.6%
0 87
16.0%
6 60
11.0%
4 49
9.0%
1 32
 
5.9%
5 29
 
5.3%
2 25
 
4.6%
8 23
 
4.2%
7 21
 
3.9%

소재지주소
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T23:02:07.116268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length30.068493
Min length22

Characters and Unicode

Total characters2195
Distinct characters130
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 강릉시 경강로 2106， 경일플라자 8층 801，802호 (임당동)
2nd row강원특별자치도 강릉시 솔올로5번길 52， 2층 201호 (교동)
3rd row강원특별자치도 강릉시 하평2길 6， 2층 204호 (포남동)
4th row강원특별자치도 강릉시 구정면 새끼미길 59
5th row강원특별자치도 강릉시 강릉대로 442， KT강릉지사 5층 (포남동)
ValueCountFrequency (%)
강원특별자치도 73
 
17.5%
강릉시 73
 
17.5%
교동 17
 
4.1%
포남동 13
 
3.1%
2층 9
 
2.2%
강릉대로 7
 
1.7%
1층 6
 
1.4%
옥천동 6
 
1.4%
경강로 4
 
1.0%
주문진읍 4
 
1.0%
Other values (167) 206
49.3%
2023-12-12T23:02:07.688572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
 
15.7%
강 167
 
7.6%
릉 84
 
3.8%
시 77
 
3.5%
원 75
 
3.4%
동 75
 
3.4%
자 74
 
3.4%
특 73
 
3.3%
별 73
 
3.3%
치 73
 
3.3%
Other values (120) 1079
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1336
60.9%
Space Separator 345
 
15.7%
Decimal Number 330
 
15.0%
Close Punctuation 63
 
2.9%
Open Punctuation 63
 
2.9%
Other Punctuation 38
 
1.7%
Dash Punctuation 16
 
0.7%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 167
 
12.5%
릉 84
 
6.3%
시 77
 
5.8%
원 75
 
5.6%
동 75
 
5.6%
자 74
 
5.5%
특 73
 
5.5%
별 73
 
5.5%
치 73
 
5.5%
도 73
 
5.5%
Other values (100) 492
36.8%
Decimal Number
ValueCountFrequency (%)
2 70
21.2%
1 64
19.4%
4 41
12.4%
3 33
10.0%
0 27
 
8.2%
5 26
 
7.9%
6 24
 
7.3%
8 17
 
5.2%
9 15
 
4.5%
7 13
 
3.9%
Close Punctuation
ValueCountFrequency (%)
) 62
98.4%
] 1
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 62
98.4%
[ 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
， 37
97.4%
* 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
K 2
50.0%
T 2
50.0%
Space Separator
ValueCountFrequency (%)
345
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1336
60.9%
Common 855
39.0%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 167
 
12.5%
릉 84
 
6.3%
시 77
 
5.8%
원 75
 
5.6%
동 75
 
5.6%
자 74
 
5.5%
특 73
 
5.5%
별 73
 
5.5%
치 73
 
5.5%
도 73
 
5.5%
Other values (100) 492
36.8%
Common
ValueCountFrequency (%)
345
40.4%
2 70
 
8.2%
1 64
 
7.5%
) 62
 
7.3%
( 62
 
7.3%
4 41
 
4.8%
， 37
 
4.3%
3 33
 
3.9%
0 27
 
3.2%
5 26
 
3.0%
Other values (8) 88
 
10.3%
Latin
ValueCountFrequency (%)
K 2
50.0%
T 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1336
60.9%
ASCII 822
37.4%
None 37
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
345
42.0%
2 70
 
8.5%
1 64
 
7.8%
) 62
 
7.5%
( 62
 
7.5%
4 41
 
5.0%
3 33
 
4.0%
0 27
 
3.3%
5 26
 
3.2%
6 24
 
2.9%
Other values (9) 68
 
8.3%
Hangul
ValueCountFrequency (%)
강 167
 
12.5%
릉 84
 
6.3%
시 77
 
5.8%
원 75
 
5.6%
동 75
 
5.6%
자 74
 
5.5%
특 73
 
5.5%
별 73
 
5.5%
치 73
 
5.5%
도 73
 
5.5%
Other values (100) 492
36.8%
None
ValueCountFrequency (%)
， 37
100.0%

취급품목
Categorical

Distinct25
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size716.0 B
건강식품
10 
화장품/미용용품
10 
기타
10 
건강식품 화장품/미용용품
9 
자동차/자동차용품
6 
Other values (20)
28 

Length

Max length31
Median length28
Mean length9.3287671
Min length2

Unique

Unique17 ?
Unique (%)23.3%

Sample

1st row건강식품 화장품/미용용품 생활용품/세제류 가전 의류/패션
2nd row건강식품 화장품/미용용품 생활용품/세제류 의류/패션
3rd row건강식품 화장품/미용용품
4th row건강식품
5th row통신기기

Common Values

ValueCountFrequency (%)
건강식품 10
13.7%
화장품/미용용품 10
13.7%
기타 10
13.7%
건강식품 화장품/미용용품 9
12.3%
자동차/자동차용품 6
 
8.2%
통신기기 5
 
6.8%
건강식품 기타 4
 
5.5%
화장품/미용용품 생활용품/세제류 2
 
2.7%
화장품/미용용품 기타 가전 1
 
1.4%
화장품/미용용품 생활용품/세제류 가전 1
 
1.4%
Other values (15) 15
20.5%

Length

2023-12-12T23:02:07.931485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화장품/미용용품 33
28.0%
건강식품 31
26.3%
기타 19
16.1%
통신기기 8
 
6.8%
생활용품/세제류 7
 
5.9%
자동차/자동차용품 6
 
5.1%
가전 4
 
3.4%
컴퓨터/사무용품 3
 
2.5%
의류/패션 3
 
2.5%
교육/도서 2
 
1.7%
Other values (2) 2
 
1.7%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
소상공인과
73 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소상공인과 73
100.0%

Length

2023-12-12T23:02:08.082531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:08.198962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소상공인과 73
100.0%

담당부서전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
033-640-5028
73 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-640-5028
2nd row033-640-5028
3rd row033-640-5028
4th row033-640-5028
5th row033-640-5028

Common Values

ValueCountFrequency (%)
033-640-5028 73
100.0%

Length

2023-12-12T23:02:08.305120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:08.418499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-640-5028 73
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum2023-08-29 00:00:00
Maximum2023-08-29 00:00:00
2023-12-12T23:02:08.496185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:08.592337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:02:03.159984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:02.919953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:03.253124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:03.032737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:02:08.680185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호신고번호신고일자법인또는상호소재지전화번호소재지주소취급품목
번호1.0001.0000.8760.9310.0001.0000.700
신고번호1.0001.0001.0001.0001.0001.0001.000
신고일자0.8761.0001.0000.9791.0001.0000.045
법인또는상호0.9311.0000.9791.0001.0001.0000.997
소재지전화번호0.0001.0001.0001.0001.0001.0000.862
소재지주소1.0001.0001.0001.0001.0001.0001.000
취급품목0.7001.0000.0450.9970.8621.0001.000
2023-12-12T23:02:08.796267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호신고일자취급품목
번호1.000-0.9830.294
신고일자-0.9831.0000.000
취급품목0.2940.0001.000

Missing values

2023-12-12T23:02:03.372683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:02:03.535753image/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

번호신고번호신고일자법인또는상호운영상태소재지전화번호소재지주소취급품목담당부서담당부서전화번호데이터기준일자
012023-4201019-23-2-0000220230718숲에서정상영업<NA>강원특별자치도 강릉시 경강로 2106， 경일플라자 8층 801，802호 (임당동)건강식품 화장품/미용용품 생활용품/세제류 가전 의류/패션소상공인과033-640-50282023-08-29
122023-4201019-23-2-0000120230614규리빙정상영업<NA>강원특별자치도 강릉시 솔올로5번길 52， 2층 201호 (교동)건강식품 화장품/미용용품 생활용품/세제류 의류/패션소상공인과033-640-50282023-08-29
232023-4200387-23-2-0000420230321강릉포남사랑정상영업<NA>강원특별자치도 강릉시 하평2길 6， 2층 204호 (포남동)건강식품 화장품/미용용품소상공인과033-640-50282023-08-29
342023-4200387-23-2-0000320230228홍삼생활건강정상영업<NA>강원특별자치도 강릉시 구정면 새끼미길 59건강식품소상공인과033-640-50282023-08-29
452023-4200387-23-2-0000220201123하슬라통신정상영업<NA>강원특별자치도 강릉시 강릉대로 442， KT강릉지사 5층 (포남동)통신기기소상공인과033-640-50282023-08-29
562022-4200322-23-2-0000720200604멀티샵정상영업<NA>강원특별자치도 강릉시 주문진읍 연주로 374， 4층화장품/미용용품 생활용품/세제류 가전소상공인과033-640-50282023-08-29
672022-4200322-23-2-0000620220905코웨이 강릉솔향대리점정상영업<NA>강원특별자치도 강릉시 교동광장로 135， 4층 (교동)기타소상공인과033-640-50282023-08-29
782022-4200322-23-2-0000520200616주식회사 영컴퍼니정상영업<NA>강원특별자치도 강릉시 강릉대로 422-3， 1층 (포남동)컴퓨터/사무용품 통신기기소상공인과033-640-50282023-08-29
892022-4200322-23-2-0000420220330힐스템금학쎈타정상영업033-641-9800강원특별자치도 강릉시 금성로45번길 7(성남동)건강식품 화장품/미용용품 생활용품/세제류 회원권/상품권소상공인과033-640-50282023-08-29
9102022-4200322-23-2-0000320220323강릉건강정상영업033-643-6041강원특별자치도 강릉시 금성로45번길 2， 2층 (성남동)건강식품 기타소상공인과033-640-50282023-08-29
번호신고번호신고일자법인또는상호운영상태소재지전화번호소재지주소취급품목담당부서담당부서전화번호데이터기준일자
63642007-4200115-23-2-0002320070614㈜기린통신정상영업033-645-0455강원특별자치도 강릉시 솔올로 17 (교동)기타소상공인과033-640-50282023-08-29
64652006-4200115-23-2-0001820061115쉐보레 강릉제일대리점정상영업033-653-4482강원특별자치도 강릉시 성덕포남로 179 (포남동)자동차/자동차용품소상공인과033-640-50282023-08-29
65662006-4200115-23-2-0001720060911백옥생한방화장품강릉제일지사정상영업033-651-0105강원특별자치도 강릉시 임당동 175-1 2층화장품/미용용품소상공인과033-640-50282023-08-29
66672005-4200322-23-2-0001720050402주식회사 강원통신정상영업033-644-9766강원특별자치도 강릉시 강릉대로 378， 2층 (포남동)통신기기 컴퓨터/사무용품소상공인과033-640-50282023-08-29
67682005-4200115-23-2-0000520050114케이지모빌리티강릉판매대리점정상영업033-641-3088강원특별자치도 강릉시 용지로 145 (옥천동)자동차/자동차용품소상공인과033-640-50282023-08-29
68692002-4200115-23-2-0001020021024사임당화장품강릉지사정상영업033-646-1116강원특별자치도 강릉시 경강로 2267， 2층 (포남동)화장품/미용용품소상공인과033-640-50282023-08-29
69702001-4200115-23-2-0001620010809현대강릉동부판매대리점정상영업033-645-0111강원특별자치도 강릉시 경강로 2375 (송정동)자동차/자동차용품소상공인과033-640-50282023-08-29
70711999-4200115-23-2-0000219990412현대강일판매대리점정상영업033-647-9926강원특별자치도 강릉시 강릉대로 145， 1층 (교동)자동차/자동차용품소상공인과033-640-50282023-08-29
71721996-4200115-23-2-0001620021008기아자동차온누리대리점정상영업033-645-7979강원특별자치도 강릉시 강릉대로 284 (교동)자동차/자동차용품소상공인과033-640-50282023-08-29
72731996-4200115-23-2-0001519961121기아자동차주문진중앙대리점정상영업033-661-6600강원특별자치도 강릉시 주문진읍 교항리 73-4자동차/자동차용품소상공인과033-640-50282023-08-29