Overview

Dataset statistics

Number of variables7
Number of observations390
Missing cells233
Missing cells (%)8.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.8 KiB
Average record size in memory57.3 B

Variable types

Numeric1
DateTime2
Text3
Categorical1

Dataset

Description후원방문판매업 현황을 제공합니다.
Author경상남도
URLhttps://www.data.go.kr/data/3083224/fileData.do

Alerts

전화번호 has 9 (2.3%) missing valuesMissing
폐업/휴업일 has 224 (57.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:04:43.892563
Analysis finished2023-12-12 08:04:44.920026
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct390
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.5
Minimum1
Maximum390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T17:04:45.079369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.45
Q198.25
median195.5
Q3292.75
95-th percentile370.55
Maximum390
Range389
Interquartile range (IQR)194.5

Descriptive statistics

Standard deviation112.72755
Coefficient of variation (CV)0.5766115
Kurtosis-1.2
Mean195.5
Median Absolute Deviation (MAD)97.5
Skewness0
Sum76245
Variance12707.5
MonotonicityStrictly increasing
2023-12-12T17:04:45.351584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
246 1
 
0.3%
268 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
Other values (380) 380
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
390 1
0.3%
389 1
0.3%
388 1
0.3%
387 1
0.3%
386 1
0.3%
385 1
0.3%
384 1
0.3%
383 1
0.3%
382 1
0.3%
381 1
0.3%

등록일자
Date

Distinct71
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2013-07-09 00:00:00
Maximum2018-12-13 00:00:00
2023-12-12T17:04:45.596916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:45.809188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업체명
Text

Distinct372
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T17:04:46.126680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length9.0769231
Min length2

Characters and Unicode

Total characters3540
Distinct characters240
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

Unique359 ?
Unique (%)92.1%

Sample

1st row쥬단학 충무대리점
2nd row한국화장품(주) 합천대리점
3rd row쥬단학 거창방판대리점
4th row쥬단학 통영대리점
5th row한국화장품 창원중앙지사
ValueCountFrequency (%)
유니베라 17
 
3.0%
마임 17
 
3.0%
오휘 12
 
2.1%
김정문알로에 9
 
1.6%
이든네이처 9
 
1.6%
아모레 9
 
1.6%
나르지오 8
 
1.4%
오휘화장품 6
 
1.1%
알로에 5
 
0.9%
아모레퍼시픽 5
 
0.9%
Other values (415) 474
83.0%
2023-12-12T17:04:46.634165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
 
5.1%
점 180
 
5.1%
지 154
 
4.4%
사 132
 
3.7%
리 94
 
2.7%
마 91
 
2.6%
대 73
 
2.1%
이 70
 
2.0%
오 64
 
1.8%
아 64
 
1.8%
Other values (230) 2437
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3270
92.4%
Space Separator 181
 
5.1%
Uppercase Letter 29
 
0.8%
Close Punctuation 26
 
0.7%
Open Punctuation 25
 
0.7%
Other Punctuation 6
 
0.2%
Lowercase Letter 2
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 180
 
5.5%
지 154
 
4.7%
사 132
 
4.0%
리 94
 
2.9%
마 91
 
2.8%
대 73
 
2.2%
이 70
 
2.1%
오 64
 
2.0%
아 64
 
2.0%
진 63
 
1.9%
Other values (216) 2285
69.9%
Uppercase Letter
ValueCountFrequency (%)
G 12
41.4%
L 8
27.6%
K 4
 
13.8%
C 4
 
13.8%
B 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
. 1
 
16.7%
: 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3270
92.4%
Common 239
 
6.8%
Latin 31
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 180
 
5.5%
지 154
 
4.7%
사 132
 
4.0%
리 94
 
2.9%
마 91
 
2.8%
대 73
 
2.2%
이 70
 
2.1%
오 64
 
2.0%
아 64
 
2.0%
진 63
 
1.9%
Other values (216) 2285
69.9%
Common
ValueCountFrequency (%)
181
75.7%
) 26
 
10.9%
( 25
 
10.5%
, 4
 
1.7%
. 1
 
0.4%
: 1
 
0.4%
1 1
 
0.4%
Latin
ValueCountFrequency (%)
G 12
38.7%
L 8
25.8%
K 4
 
12.9%
C 4
 
12.9%
o 1
 
3.2%
i 1
 
3.2%
B 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3270
92.4%
ASCII 270
 
7.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
67.0%
) 26
 
9.6%
( 25
 
9.3%
G 12
 
4.4%
L 8
 
3.0%
, 4
 
1.5%
K 4
 
1.5%
C 4
 
1.5%
. 1
 
0.4%
: 1
 
0.4%
Other values (4) 4
 
1.5%
Hangul
ValueCountFrequency (%)
점 180
 
5.5%
지 154
 
4.7%
사 132
 
4.0%
리 94
 
2.9%
마 91
 
2.8%
대 73
 
2.2%
이 70
 
2.1%
오 64
 
2.0%
아 64
 
2.0%
진 63
 
1.9%
Other values (216) 2285
69.9%

소재지
Text

Distinct377
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T17:04:47.007915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length31.705128
Min length19

Characters and Unicode

Total characters12365
Distinct characters295
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

Unique365 ?
Unique (%)93.6%

Sample

1st row경상남도 통영시 도천상가안길 18, 208호 (도천동,동원나포리빌)
2nd row경상남도 합천군 초계면 초계중앙로 11
3rd row경상남도 거창군 거창읍 중앙로2길 24
4th row경상남도 통영시 북신시장1길 63-29, 2층 (북신동)
5th row경상남도 창원시 성산구 용지로 70, 602호 (중앙동,성원오피스텔)
ValueCountFrequency (%)
경상남도 389
 
15.9%
창원시 147
 
6.0%
김해시 69
 
2.8%
2층 48
 
2.0%
3층 44
 
1.8%
진주시 42
 
1.7%
성산구 34
 
1.4%
의창구 33
 
1.3%
마산회원구 32
 
1.3%
양산시 31
 
1.3%
Other values (816) 1584
64.6%
2023-12-12T17:04:47.755454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2067
 
16.7%
상 460
 
3.7%
남 449
 
3.6%
, 438
 
3.5%
1 402
 
3.3%
경 399
 
3.2%
도 399
 
3.2%
동 393
 
3.2%
시 362
 
2.9%
로 354
 
2.9%
Other values (285) 6642
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7177
58.0%
Space Separator 2067
 
16.7%
Decimal Number 1924
 
15.6%
Other Punctuation 451
 
3.6%
Open Punctuation 337
 
2.7%
Close Punctuation 337
 
2.7%
Dash Punctuation 49
 
0.4%
Uppercase Letter 13
 
0.1%
Math Symbol 5
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 460
 
6.4%
남 449
 
6.3%
경 399
 
5.6%
도 399
 
5.6%
동 393
 
5.5%
시 362
 
5.0%
로 354
 
4.9%
원 242
 
3.4%
창 211
 
2.9%
호 183
 
2.5%
Other values (255) 3725
51.9%
Decimal Number
ValueCountFrequency (%)
1 402
20.9%
2 286
14.9%
3 246
12.8%
0 228
11.9%
4 193
10.0%
5 162
8.4%
6 110
 
5.7%
7 104
 
5.4%
8 104
 
5.4%
9 89
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
K 3
23.1%
A 3
23.1%
I 2
15.4%
O 2
15.4%
D 1
 
7.7%
B 1
 
7.7%
T 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
y 1
20.0%
t 1
20.0%
i 1
20.0%
c 1
20.0%
a 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 438
97.1%
· 12
 
2.7%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2067
100.0%
Open Punctuation
ValueCountFrequency (%)
( 337
100.0%
Close Punctuation
ValueCountFrequency (%)
) 337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7177
58.0%
Common 5170
41.8%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 460
 
6.4%
남 449
 
6.3%
경 399
 
5.6%
도 399
 
5.6%
동 393
 
5.5%
시 362
 
5.0%
로 354
 
4.9%
원 242
 
3.4%
창 211
 
2.9%
호 183
 
2.5%
Other values (255) 3725
51.9%
Common
ValueCountFrequency (%)
2067
40.0%
, 438
 
8.5%
1 402
 
7.8%
( 337
 
6.5%
) 337
 
6.5%
2 286
 
5.5%
3 246
 
4.8%
0 228
 
4.4%
4 193
 
3.7%
5 162
 
3.1%
Other values (8) 474
 
9.2%
Latin
ValueCountFrequency (%)
K 3
16.7%
A 3
16.7%
I 2
11.1%
O 2
11.1%
D 1
 
5.6%
B 1
 
5.6%
T 1
 
5.6%
y 1
 
5.6%
t 1
 
5.6%
i 1
 
5.6%
Other values (2) 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7177
58.0%
ASCII 5176
41.9%
None 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2067
39.9%
, 438
 
8.5%
1 402
 
7.8%
( 337
 
6.5%
) 337
 
6.5%
2 286
 
5.5%
3 246
 
4.8%
0 228
 
4.4%
4 193
 
3.7%
5 162
 
3.1%
Other values (19) 480
 
9.3%
Hangul
ValueCountFrequency (%)
상 460
 
6.4%
남 449
 
6.3%
경 399
 
5.6%
도 399
 
5.6%
동 393
 
5.5%
시 362
 
5.0%
로 354
 
4.9%
원 242
 
3.4%
창 211
 
2.9%
호 183
 
2.5%
Other values (255) 3725
51.9%
None
ValueCountFrequency (%)
· 12
100.0%

전화번호
Text

MISSING 

Distinct300
Distinct (%)78.7%
Missing9
Missing (%)2.3%
Memory size3.2 KiB
2023-12-12T17:04:48.151662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.997375
Min length9

Characters and Unicode

Total characters4571
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

Unique282 ?
Unique (%)74.0%

Sample

1st row055-644-7338
2nd row055-932-1477
3rd row055-944-1866
4th row055-646-3247
5th row055-287-0396
ValueCountFrequency (%)
055-000-0000 63
 
16.5%
055-763-0052 3
 
0.8%
055-367-7878 3
 
0.8%
055-583-5289 2
 
0.5%
055-283-2883 2
 
0.5%
055-644-5201 2
 
0.5%
055-673-5288 2
 
0.5%
055-746-3399 2
 
0.5%
055-339-6568 2
 
0.5%
055-275-0760 2
 
0.5%
Other values (290) 298
78.2%
2023-12-12T17:04:48.872043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1020
22.3%
0 991
21.7%
- 761
16.6%
3 338
 
7.4%
2 308
 
6.7%
7 232
 
5.1%
8 221
 
4.8%
6 213
 
4.7%
4 193
 
4.2%
1 165
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3810
83.4%
Dash Punctuation 761
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1020
26.8%
0 991
26.0%
3 338
 
8.9%
2 308
 
8.1%
7 232
 
6.1%
8 221
 
5.8%
6 213
 
5.6%
4 193
 
5.1%
1 165
 
4.3%
9 129
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 761
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4571
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1020
22.3%
0 991
21.7%
- 761
16.6%
3 338
 
7.4%
2 308
 
6.7%
7 232
 
5.1%
8 221
 
4.8%
6 213
 
4.7%
4 193
 
4.2%
1 165
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1020
22.3%
0 991
21.7%
- 761
16.6%
3 338
 
7.4%
2 308
 
6.7%
7 232
 
5.1%
8 221
 
4.8%
6 213
 
4.7%
4 193
 
4.2%
1 165
 
3.6%

운영여부
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
운영중
223 
폐업
151 
-
 
16

Length

Max length3
Median length3
Mean length2.5307692
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영중
2nd row폐업
3rd row운영중
4th row운영중
5th row-

Common Values

ValueCountFrequency (%)
운영중 223
57.2%
폐업 151
38.7%
- 16
 
4.1%

Length

2023-12-12T17:04:49.109944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:04:49.280334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 223
57.2%
폐업 151
38.7%
16
 
4.1%

폐업/휴업일
Date

MISSING 

Distinct117
Distinct (%)70.5%
Missing224
Missing (%)57.4%
Memory size3.2 KiB
Minimum1905-07-10 00:00:00
Maximum2019-03-04 00:00:00
2023-12-12T17:04:49.485717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:50.065370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T17:04:44.297551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:04:50.194783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록일자운영여부
연번1.0000.9850.375
등록일자0.9851.0000.658
운영여부0.3750.6581.000
2023-12-12T17:04:50.308657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번운영여부
연번1.0000.241
운영여부0.2411.000

Missing values

2023-12-12T17:04:44.441803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:04:44.702331image/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.
2023-12-12T17:04:44.847141image/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

연번등록일자업체명소재지전화번호운영여부폐업/휴업일
012013-07-09쥬단학 충무대리점경상남도 통영시 도천상가안길 18, 208호 (도천동,동원나포리빌)055-644-7338운영중<NA>
122013-07-09한국화장품(주) 합천대리점경상남도 합천군 초계면 초계중앙로 11055-932-1477폐업2016-11-22
232013-07-09쥬단학 거창방판대리점경상남도 거창군 거창읍 중앙로2길 24055-944-1866운영중<NA>
342013-07-09쥬단학 통영대리점경상남도 통영시 북신시장1길 63-29, 2층 (북신동)055-646-3247운영중<NA>
452013-07-15한국화장품 창원중앙지사경상남도 창원시 성산구 용지로 70, 602호 (중앙동,성원오피스텔)055-287-0396-2018-08-27
562013-07-15쥬단학 창원대리점경상남도 창원시 의창구 용지로153번길 3, 408호 (용호동,창원오피스텔)055-332-2380-2018-08-27
672013-07-15한국화장품 진주지사경상남도 진주시 촉석로 150, 2층 (중안동)055-747-6668운영중<NA>
782013-07-15한국화장품스킨케어 거제지사경상남도 거제시 옥포로16길 17, 별관동 1층 (옥포동,KT(별관동1층))055-638-2473운영중<NA>
892013-07-18한국화장품 남해지사경상남도 남해군 남해읍 화전로 66-1055-864-7973운영중<NA>
9102013-07-23건강생활고현지점경상남도 거제시 거제대로 4603, 3층 (양정동,수양빌딩)055-637-0120운영중<NA>
연번등록일자업체명소재지전화번호운영여부폐업/휴업일
3803812018-07-27제네르떼 진주점경상남도 진주시 진주대로954번길 15 (칠암동)055-763-0702폐업2018-10-18
3813822018-08-03타파웨어 피닉스경상남도 통영시 광도면 죽림2로 49-31, 동진빌딩 4층 402호055-648-6508운영중<NA>
3823832018-08-16나르지오 어시장점경상남도 창원시 마산합포구 합포로 43 (남성동)055-261-0739운영중<NA>
3833842018-08-16한국화장품 창원지사경상남도 창원시 성산구 용지로 70, 성원오피스텔 602호 (중앙동)070-6717-9553운영중<NA>
3843852018-10-01럭셔리뷰티 고성대리점경상남도 고성군 고성읍 동외로 135055-673-5288운영중<NA>
3853862018-11-19알즈너 맑은대리점경상남도 창원시 진해구 충장로 162, 복음외과 102호 (충무동)055-546-3084운영중<NA>
3863872018-12-03나르지오 외동점경상남도 김해시 금관대로 1209 (외동)055-327-1055운영중<NA>
3873882018-12-13엘지럭셔리뷰티 성산점경상남도 창원시 의창구 용지로 161, 경남빌딩 401,402호 (용호동)055-275-0760운영중<NA>
3883892018-12-13김해연지건강생활경상남도 김해시 금관대로 1368, 201호 (내동)055-322-1230운영중<NA>
3893902018-12-13럭셔리뷰티 동진해대리점경상남도 창원시 진해구 덕산로61번길 2-23, 2층 (자은동)055-551-5277운영중<NA>