Overview

Dataset statistics

Number of variables14
Number of observations1644
Missing cells6259
Missing cells (%)27.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory192.8 KiB
Average record size in memory120.1 B

Variable types

Text3
Categorical4
Numeric3
Unsupported3
DateTime1

Dataset

Description- 편의점 등 안전상비 의약품으로 지정된 의약품을 판매하는 업소 정보를 제공합니다. - 원본 파일의 좌표가 중부원점 TM(EPSH:2097) 좌표계를 따르고 있는데 위경도(WGS84) 좌표계로 변환 시 정확하게 변환이 되지 않아 파일에서 좌표 정보는 제외하였습니다. 데이터 제공 사이트로 가시면 원본 좌표를 확인하실 수 있습니다. - 데이터 제공처: LOCALDATA
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/843

Alerts

업종구분대분류 has constant value ""Constant
영업상태명 is highly overall correlated with 휴업시작일자 and 1 other fieldsHigh correlation
휴업시작일자 is highly overall correlated with 인허가일자 and 3 other fieldsHigh correlation
휴업종료일자 is highly overall correlated with 인허가일자 and 3 other fieldsHigh correlation
인허가일자 is highly overall correlated with 폐업일자 and 2 other fieldsHigh correlation
폐업일자 is highly overall correlated with 인허가일자High correlation
도로명우편번호 is highly overall correlated with 휴업시작일자 and 1 other fieldsHigh correlation
휴업시작일자 is highly imbalanced (98.9%)Imbalance
휴업종료일자 is highly imbalanced (98.9%)Imbalance
인허가취소일자 has 1644 (100.0%) missing valuesMissing
폐업일자 has 935 (56.9%) missing valuesMissing
재개업일자 has 1644 (100.0%) missing valuesMissing
소재지면적 has 1644 (100.0%) missing valuesMissing
지번주소 has 390 (23.7%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 19:47:11.343856
Analysis finished2023-12-11 19:47:14.465479
Duration3.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct1490
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2023-12-12T04:47:14.776637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.125304
Min length4

Characters and Unicode

Total characters16646
Distinct characters376
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

Unique1346 ?
Unique (%)81.9%

Sample

1st row교래편의점
2nd row씨유제주이도정든점
3rd row지에스25제주칠성로점
4th row지에스25제주이도점
5th row씨유제주아라잉꼬점
ValueCountFrequency (%)
씨유 319
 
12.5%
gs25 169
 
6.6%
세븐일레븐 163
 
6.4%
주)코리아세븐 59
 
2.3%
지에스25 49
 
1.9%
cu 28
 
1.1%
레몬비 21
 
0.8%
서귀포 11
 
0.4%
주)비지에프리테일 9
 
0.4%
gs 9
 
0.4%
Other values (1405) 1708
67.1%
2023-12-12T04:47:15.519180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1610
 
9.7%
주 1056
 
6.3%
제 945
 
5.7%
904
 
5.4%
유 677
 
4.1%
씨 670
 
4.0%
븐 636
 
3.8%
2 472
 
2.8%
5 471
 
2.8%
세 374
 
2.2%
Other values (366) 8831
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13759
82.7%
Decimal Number 954
 
5.7%
Space Separator 904
 
5.4%
Uppercase Letter 801
 
4.8%
Close Punctuation 110
 
0.7%
Open Punctuation 107
 
0.6%
Lowercase Letter 7
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1610
 
11.7%
주 1056
 
7.7%
제 945
 
6.9%
유 677
 
4.9%
씨 670
 
4.9%
븐 636
 
4.6%
세 374
 
2.7%
일 359
 
2.6%
서 346
 
2.5%
레 326
 
2.4%
Other values (341) 6760
49.1%
Uppercase Letter
ValueCountFrequency (%)
S 323
40.3%
G 318
39.7%
C 67
 
8.4%
U 64
 
8.0%
L 11
 
1.4%
H 8
 
1.0%
K 3
 
0.4%
B 3
 
0.4%
J 2
 
0.2%
A 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 472
49.5%
5 471
49.4%
6 5
 
0.5%
1 3
 
0.3%
7 2
 
0.2%
8 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
u 2
28.6%
g 2
28.6%
s 2
28.6%
c 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
904
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13759
82.7%
Common 2079
 
12.5%
Latin 808
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1610
 
11.7%
주 1056
 
7.7%
제 945
 
6.9%
유 677
 
4.9%
씨 670
 
4.9%
븐 636
 
4.6%
세 374
 
2.7%
일 359
 
2.6%
서 346
 
2.5%
레 326
 
2.4%
Other values (341) 6760
49.1%
Latin
ValueCountFrequency (%)
S 323
40.0%
G 318
39.4%
C 67
 
8.3%
U 64
 
7.9%
L 11
 
1.4%
H 8
 
1.0%
K 3
 
0.4%
B 3
 
0.4%
J 2
 
0.2%
u 2
 
0.2%
Other values (4) 7
 
0.9%
Common
ValueCountFrequency (%)
904
43.5%
2 472
22.7%
5 471
22.7%
) 110
 
5.3%
( 107
 
5.1%
6 5
 
0.2%
. 3
 
0.1%
1 3
 
0.1%
7 2
 
0.1%
8 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13759
82.7%
ASCII 2887
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1610
 
11.7%
주 1056
 
7.7%
제 945
 
6.9%
유 677
 
4.9%
씨 670
 
4.9%
븐 636
 
4.6%
세 374
 
2.7%
일 359
 
2.6%
서 346
 
2.5%
레 326
 
2.4%
Other values (341) 6760
49.1%
ASCII
ValueCountFrequency (%)
904
31.3%
2 472
16.3%
5 471
16.3%
S 323
 
11.2%
G 318
 
11.0%
) 110
 
3.8%
( 107
 
3.7%
C 67
 
2.3%
U 64
 
2.2%
L 11
 
0.4%
Other values (15) 40
 
1.4%

업종구분대분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
안전상비의약품 판매업소
1644 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안전상비의약품 판매업소
2nd row안전상비의약품 판매업소
3rd row안전상비의약품 판매업소
4th row안전상비의약품 판매업소
5th row안전상비의약품 판매업소

Common Values

ValueCountFrequency (%)
안전상비의약품 판매업소 1644
100.0%

Length

2023-12-12T04:47:15.744194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:47:15.916248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전상비의약품 1644
50.0%
판매업소 1644
50.0%

인허가일자
Real number (ℝ)

HIGH CORRELATION 

Distinct907
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20168439
Minimum20121107
Maximum20230916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-12T04:47:16.115816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20121107
5-th percentile20121109
Q120130316
median20170416
Q320200610
95-th percentile20221214
Maximum20230916
Range109809
Interquartile range (IQR)70294.5

Descriptive statistics

Standard deviation36372.925
Coefficient of variation (CV)0.0018034576
Kurtosis-1.3149173
Mean20168439
Median Absolute Deviation (MAD)30611.5
Skewness0.055086147
Sum3.3156914 × 1010
Variance1.3229896 × 109
MonotonicityNot monotonic
2023-12-12T04:47:16.357197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121109 91
 
5.5%
20121112 81
 
4.9%
20121119 51
 
3.1%
20121113 49
 
3.0%
20121110 43
 
2.6%
20121108 27
 
1.6%
20121205 10
 
0.6%
20121107 8
 
0.5%
20121210 8
 
0.5%
20220609 8
 
0.5%
Other values (897) 1268
77.1%
ValueCountFrequency (%)
20121107 8
 
0.5%
20121108 27
 
1.6%
20121109 91
5.5%
20121110 43
2.6%
20121112 81
4.9%
20121113 49
3.0%
20121114 1
 
0.1%
20121115 4
 
0.2%
20121119 51
3.1%
20121121 7
 
0.4%
ValueCountFrequency (%)
20230916 1
 
0.1%
20230903 1
 
0.1%
20230824 1
 
0.1%
20230821 1
 
0.1%
20230817 3
0.2%
20230809 1
 
0.1%
20230807 1
 
0.1%
20230803 1
 
0.1%
20230801 1
 
0.1%
20230731 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1644
Missing (%)100.0%
Memory size14.6 KiB

영업상태명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
영업/정상
932 
폐업
708 
휴업
 
3
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.7080292
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row휴업
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 932
56.7%
폐업 708
43.1%
휴업 3
 
0.2%
취소/말소/만료/정지/중지 1
 
0.1%

Length

2023-12-12T04:47:16.572899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:47:16.741896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 932
56.7%
폐업 708
43.1%
휴업 3
 
0.2%
취소/말소/만료/정지/중지 1
 
0.1%

폐업일자
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct590
Distinct (%)83.2%
Missing935
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean20184659
Minimum20121119
Maximum20230906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-12T04:47:16.922874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20121119
5-th percentile20140556
Q120160930
median20190107
Q320210329
95-th percentile20230302
Maximum20230906
Range109787
Interquartile range (IQR)49399

Descriptive statistics

Standard deviation28280.274
Coefficient of variation (CV)0.0014010776
Kurtosis-1.0401719
Mean20184659
Median Absolute Deviation (MAD)20702
Skewness-0.14837239
Sum1.4310924 × 1010
Variance7.9977388 × 108
MonotonicityNot monotonic
2023-12-12T04:47:17.104092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170731 5
 
0.3%
20180629 5
 
0.3%
20191230 4
 
0.2%
20140623 4
 
0.2%
20220801 3
 
0.2%
20190129 3
 
0.2%
20140701 3
 
0.2%
20220914 3
 
0.2%
20140901 3
 
0.2%
20201028 3
 
0.2%
Other values (580) 673
40.9%
(Missing) 935
56.9%
ValueCountFrequency (%)
20121119 2
0.1%
20130204 1
0.1%
20130214 1
0.1%
20130228 1
0.1%
20130307 1
0.1%
20130327 1
0.1%
20130330 1
0.1%
20130416 1
0.1%
20130530 1
0.1%
20130611 1
0.1%
ValueCountFrequency (%)
20230906 1
0.1%
20230901 1
0.1%
20230818 1
0.1%
20230816 1
0.1%
20230804 1
0.1%
20230802 2
0.1%
20230801 1
0.1%
20230731 1
0.1%
20230726 1
0.1%
20230712 1
0.1%

휴업시작일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
<NA>
1641 
20220512
 
1
20230829
 
1
20221001
 
1

Length

Max length8
Median length4
Mean length4.0072993
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row20220512
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1641
99.8%
20220512 1
 
0.1%
20230829 1
 
0.1%
20221001 1
 
0.1%

Length

2023-12-12T04:47:17.301262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:47:17.457936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1641
99.8%
20220512 1
 
0.1%
20230829 1
 
0.1%
20221001 1
 
0.1%

휴업종료일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
<NA>
1641 
20230123
 
1
20231129
 
1
20230331
 
1

Length

Max length8
Median length4
Mean length4.0072993
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row20230123
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1641
99.8%
20230123 1
 
0.1%
20231129 1
 
0.1%
20230331 1
 
0.1%

Length

2023-12-12T04:47:17.618504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:47:17.764726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1641
99.8%
20230123 1
 
0.1%
20231129 1
 
0.1%
20230331 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1644
Missing (%)100.0%
Memory size14.6 KiB

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1644
Missing (%)100.0%
Memory size14.6 KiB

지번주소
Text

MISSING 

Distinct1101
Distinct (%)87.8%
Missing390
Missing (%)23.7%
Memory size13.0 KiB
2023-12-12T04:47:18.240737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length25.316587
Min length14

Characters and Unicode

Total characters31747
Distinct characters287
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

Unique969 ?
Unique (%)77.3%

Sample

1st row제주특별자치도 제주시 이도이동 431
2nd row제주특별자치도 제주시 일도일동 1305번지
3rd row제주특별자치도 제주시 이도이동 1064번지 21호 장원빌딩
4th row제주특별자치도 제주시 아라일동 6080번지
5th row제주특별자치도 제주시 일도이동 89번지
ValueCountFrequency (%)
제주특별자치도 1254
20.6%
제주시 966
 
15.9%
서귀포시 288
 
4.7%
연동 152
 
2.5%
1호 143
 
2.4%
노형동 131
 
2.2%
이도이동 100
 
1.6%
서귀동 61
 
1.0%
3호 58
 
1.0%
2호 57
 
0.9%
Other values (1288) 2874
47.2%
2023-12-12T04:47:19.345208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4863
 
15.3%
주 2253
 
7.1%
제 2247
 
7.1%
도 1613
 
5.1%
1 1301
 
4.1%
시 1262
 
4.0%
자 1260
 
4.0%
치 1259
 
4.0%
별 1254
 
3.9%
특 1254
 
3.9%
Other values (277) 13181
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20786
65.5%
Decimal Number 5747
 
18.1%
Space Separator 4863
 
15.3%
Dash Punctuation 324
 
1.0%
Uppercase Letter 20
 
0.1%
Other Punctuation 3
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2253
 
10.8%
제 2247
 
10.8%
도 1613
 
7.8%
시 1262
 
6.1%
자 1260
 
6.1%
치 1259
 
6.1%
별 1254
 
6.0%
특 1254
 
6.0%
동 1099
 
5.3%
지 868
 
4.2%
Other values (252) 6417
30.9%
Decimal Number
ValueCountFrequency (%)
1 1301
22.6%
2 831
14.5%
3 599
10.4%
4 496
 
8.6%
5 467
 
8.1%
0 441
 
7.7%
9 417
 
7.3%
7 405
 
7.0%
6 404
 
7.0%
8 386
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
A 6
30.0%
C 4
20.0%
S 3
15.0%
G 2
 
10.0%
U 2
 
10.0%
T 1
 
5.0%
P 1
 
5.0%
K 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
· 1
33.3%
/ 1
33.3%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
4863
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 324
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20786
65.5%
Common 10941
34.5%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2253
 
10.8%
제 2247
 
10.8%
도 1613
 
7.8%
시 1262
 
6.1%
자 1260
 
6.1%
치 1259
 
6.1%
별 1254
 
6.0%
특 1254
 
6.0%
동 1099
 
5.3%
지 868
 
4.2%
Other values (252) 6417
30.9%
Common
ValueCountFrequency (%)
4863
44.4%
1 1301
 
11.9%
2 831
 
7.6%
3 599
 
5.5%
4 496
 
4.5%
5 467
 
4.3%
0 441
 
4.0%
9 417
 
3.8%
7 405
 
3.7%
6 404
 
3.7%
Other values (7) 717
 
6.6%
Latin
ValueCountFrequency (%)
A 6
30.0%
C 4
20.0%
S 3
15.0%
G 2
 
10.0%
U 2
 
10.0%
T 1
 
5.0%
P 1
 
5.0%
K 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20786
65.5%
ASCII 10960
34.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4863
44.4%
1 1301
 
11.9%
2 831
 
7.6%
3 599
 
5.5%
4 496
 
4.5%
5 467
 
4.3%
0 441
 
4.0%
9 417
 
3.8%
7 405
 
3.7%
6 404
 
3.7%
Other values (14) 736
 
6.7%
Hangul
ValueCountFrequency (%)
주 2253
 
10.8%
제 2247
 
10.8%
도 1613
 
7.8%
시 1262
 
6.1%
자 1260
 
6.1%
치 1259
 
6.1%
별 1254
 
6.0%
특 1254
 
6.0%
동 1099
 
5.3%
지 868
 
4.2%
Other values (252) 6417
30.9%
None
ValueCountFrequency (%)
· 1
100.0%

도로명주소
Text

Distinct1406
Distinct (%)85.6%
Missing1
Missing (%)0.1%
Memory size13.0 KiB
2023-12-12T04:47:19.789649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length52
Mean length28.93731
Min length21

Characters and Unicode

Total characters47544
Distinct characters366
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

Unique1212 ?
Unique (%)73.8%

Sample

1st row제주특별자치도 제주시 조천읍 남조로 1788
2nd row제주특별자치도 제주시 정든로 40(이도이동)
3rd row제주특별자치도 제주시 관덕로15길 15, 1층 (일도일동)
4th row제주특별자치도 제주시 오복4길 4, 장원빌딩 1층 (이도이동)
5th row제주특별자치도 제주시 중앙로 596, 1층 (아라일동)
ValueCountFrequency (%)
제주특별자치도 1643
 
18.0%
제주시 1203
 
13.2%
서귀포시 441
 
4.8%
1층 380
 
4.2%
연동 160
 
1.8%
노형동 152
 
1.7%
이도이동 113
 
1.2%
서귀동 88
 
1.0%
101호 81
 
0.9%
애월읍 66
 
0.7%
Other values (1420) 4788
52.5%
2023-12-12T04:47:20.363843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7472
 
15.7%
주 3008
 
6.3%
제 2904
 
6.1%
도 2115
 
4.4%
1 1708
 
3.6%
동 1678
 
3.5%
시 1659
 
3.5%
자 1652
 
3.5%
치 1652
 
3.5%
특 1643
 
3.5%
Other values (356) 22053
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30593
64.3%
Space Separator 7472
 
15.7%
Decimal Number 5943
 
12.5%
Close Punctuation 1309
 
2.8%
Open Punctuation 1309
 
2.8%
Other Punctuation 730
 
1.5%
Dash Punctuation 146
 
0.3%
Uppercase Letter 38
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3008
 
9.8%
제 2904
 
9.5%
도 2115
 
6.9%
동 1678
 
5.5%
시 1659
 
5.4%
자 1652
 
5.4%
치 1652
 
5.4%
특 1643
 
5.4%
별 1643
 
5.4%
로 1367
 
4.5%
Other values (321) 11272
36.8%
Uppercase Letter
ValueCountFrequency (%)
C 7
18.4%
B 6
15.8%
S 5
13.2%
G 5
13.2%
A 5
13.2%
U 3
7.9%
D 1
 
2.6%
E 1
 
2.6%
K 1
 
2.6%
N 1
 
2.6%
Other values (3) 3
7.9%
Decimal Number
ValueCountFrequency (%)
1 1708
28.7%
2 725
12.2%
3 549
 
9.2%
0 540
 
9.1%
4 500
 
8.4%
5 453
 
7.6%
7 409
 
6.9%
6 403
 
6.8%
8 349
 
5.9%
9 307
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 725
99.3%
. 2
 
0.3%
/ 2
 
0.3%
· 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
d 1
33.3%
u 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
7472
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1309
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1309
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30593
64.3%
Common 16910
35.6%
Latin 41
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3008
 
9.8%
제 2904
 
9.5%
도 2115
 
6.9%
동 1678
 
5.5%
시 1659
 
5.4%
자 1652
 
5.4%
치 1652
 
5.4%
특 1643
 
5.4%
별 1643
 
5.4%
로 1367
 
4.5%
Other values (321) 11272
36.8%
Common
ValueCountFrequency (%)
7472
44.2%
1 1708
 
10.1%
) 1309
 
7.7%
( 1309
 
7.7%
2 725
 
4.3%
, 725
 
4.3%
3 549
 
3.2%
0 540
 
3.2%
4 500
 
3.0%
5 453
 
2.7%
Other values (9) 1620
 
9.6%
Latin
ValueCountFrequency (%)
C 7
17.1%
B 6
14.6%
S 5
12.2%
G 5
12.2%
A 5
12.2%
U 3
7.3%
d 1
 
2.4%
D 1
 
2.4%
u 1
 
2.4%
e 1
 
2.4%
Other values (6) 6
14.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30593
64.3%
ASCII 16950
35.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7472
44.1%
1 1708
 
10.1%
) 1309
 
7.7%
( 1309
 
7.7%
2 725
 
4.3%
, 725
 
4.3%
3 549
 
3.2%
0 540
 
3.2%
4 500
 
2.9%
5 453
 
2.7%
Other values (24) 1660
 
9.8%
Hangul
ValueCountFrequency (%)
주 3008
 
9.8%
제 2904
 
9.5%
도 2115
 
6.9%
동 1678
 
5.5%
시 1659
 
5.4%
자 1652
 
5.4%
치 1652
 
5.4%
특 1643
 
5.4%
별 1643
 
5.4%
로 1367
 
4.5%
Other values (321) 11272
36.8%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct448
Distinct (%)27.3%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean110834.35
Minimum63000
Maximum699945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-12T04:47:20.516595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63000
5-th percentile63044.1
Q163125
median63237
Q363567
95-th percentile690814.9
Maximum699945
Range636945
Interquartile range (IQR)442

Descriptive statistics

Standard deviation166487.65
Coefficient of variation (CV)1.5021305
Kurtosis8.3624449
Mean110834.35
Median Absolute Deviation (MAD)138
Skewness3.2174132
Sum1.8210083 × 108
Variance2.7718137 × 1010
MonotonicityNot monotonic
2023-12-12T04:47:20.670264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63595 21
 
1.3%
63584 21
 
1.3%
63125 16
 
1.0%
63069 16
 
1.0%
63333 16
 
1.0%
63591 16
 
1.0%
63592 14
 
0.9%
63084 14
 
0.9%
63081 14
 
0.9%
63207 14
 
0.9%
Other values (438) 1481
90.1%
ValueCountFrequency (%)
63000 1
 
0.1%
63001 2
 
0.1%
63002 1
 
0.1%
63005 1
 
0.1%
63006 1
 
0.1%
63008 5
0.3%
63010 5
0.3%
63011 12
0.7%
63012 3
 
0.2%
63014 1
 
0.1%
ValueCountFrequency (%)
699945 1
 
0.1%
699941 3
0.2%
699935 1
 
0.1%
699923 1
 
0.1%
699914 2
0.1%
699907 1
 
0.1%
699901 1
 
0.1%
697863 1
 
0.1%
697859 1
 
0.1%
697857 2
0.1%

데이터갱신일시
Date

Distinct751
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2018-08-31 23:59:00
Maximum2023-09-29 02:40:00
2023-12-12T04:47:20.828881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:47:21.003561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T04:47:13.440378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:47:12.610849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:47:13.037440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:47:13.582214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:47:12.750360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:47:13.163836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:47:13.728942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:47:12.901963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:47:13.282992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:47:21.128587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자영업상태명폐업일자휴업시작일자휴업종료일자도로명우편번호
인허가일자1.0000.4210.6771.0001.0000.518
영업상태명0.4211.0000.047NaNNaN0.450
폐업일자0.6770.0471.000NaNNaN0.989
휴업시작일자1.000NaNNaN1.0001.000NaN
휴업종료일자1.000NaNNaN1.0001.000NaN
도로명우편번호0.5180.4500.989NaNNaN1.000
2023-12-12T04:47:21.273623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태명휴업시작일자휴업종료일자
영업상태명1.0001.0001.000
휴업시작일자1.0001.0001.000
휴업종료일자1.0001.0001.000
2023-12-12T04:47:21.384460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자폐업일자도로명우편번호영업상태명휴업시작일자휴업종료일자
인허가일자1.0000.630-0.1090.2641.0001.000
폐업일자0.6301.000-0.3840.0360.0000.000
도로명우편번호-0.109-0.3841.0000.3031.0001.000
영업상태명0.2640.0360.3031.0001.0001.000
휴업시작일자1.0000.0001.0001.0001.0001.000
휴업종료일자1.0000.0001.0001.0001.0001.000

Missing values

2023-12-12T04:47:13.909610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:47:14.157547image/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.
2023-12-12T04:47:14.356585image/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

사업장명업종구분대분류인허가일자인허가취소일자영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적지번주소도로명주소도로명우편번호데이터갱신일시
0교래편의점안전상비의약품 판매업소20141209<NA>휴업<NA>2022051220230123<NA><NA><NA>제주특별자치도 제주시 조천읍 남조로 1788633462022-05-19 2:40
1씨유제주이도정든점안전상비의약품 판매업소20210630<NA>폐업20230326<NA><NA><NA><NA>제주특별자치도 제주시 이도이동 431제주특별자치도 제주시 정든로 40(이도이동)632262023-06-10 2:40
2지에스25제주칠성로점안전상비의약품 판매업소20190129<NA>폐업20190715<NA><NA><NA><NA>제주특별자치도 제주시 일도일동 1305번지제주특별자치도 제주시 관덕로15길 15, 1층 (일도일동)632772019-07-17 2:40
3지에스25제주이도점안전상비의약품 판매업소20190116<NA>폐업20201201<NA><NA><NA><NA>제주특별자치도 제주시 이도이동 1064번지 21호 장원빌딩제주특별자치도 제주시 오복4길 4, 장원빌딩 1층 (이도이동)632232020-12-04 2:40
4씨유제주아라잉꼬점안전상비의약품 판매업소20190214<NA>폐업20221208<NA><NA><NA><NA>제주특별자치도 제주시 아라일동 6080번지제주특별자치도 제주시 중앙로 596, 1층 (아라일동)632382022-12-11 2:40
5지에스25일도대림점안전상비의약품 판매업소20190108<NA>폐업20200109<NA><NA><NA><NA>제주특별자치도 제주시 일도이동 89번지제주특별자치도 제주시 태성로 20 (일도이동)632612020-01-11 2:40
6씨유제주남문점안전상비의약품 판매업소20190501<NA>폐업20220615<NA><NA><NA><NA>제주특별자치도 제주시 삼도이동 803번지 25호제주특별자치도 제주시 서사로 35, 1층 (삼도이동)631692022-06-17 2:40
7지에스25제주동여중점안전상비의약품 판매업소20190501<NA>폐업20200402<NA><NA><NA><NA>제주특별자치도 제주시 이도이동 324번지 4호제주특별자치도 제주시 천수로 23, 1층 (이도이동)632142020-04-04 2:40
8세븐일레븐 제주신촌점안전상비의약품 판매업소20190528<NA>폐업20200514<NA><NA><NA><NA>제주특별자치도 제주시 조천읍 신촌리 1789번지 3호제주특별자치도 제주시 조천읍 신북로 88633372020-05-16 2:40
9지에스25한라체육관점안전상비의약품 판매업소20190405<NA>폐업20200903<NA><NA><NA><NA>제주특별자치도 제주시 오라일동 2442번지 15호제주특별자치도 제주시 서광로4길 10, 1층 (오라일동)631882020-09-05 2:40
사업장명업종구분대분류인허가일자인허가취소일자영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적지번주소도로명주소도로명우편번호데이터갱신일시
1634세븐일레븐 서귀포본점안전상비의약품 판매업소20201211<NA>영업/정상<NA><NA><NA><NA><NA>제주특별자치도 서귀포시 서귀동 315-1제주특별자치도 서귀포시 중정로 32 (서귀동)635922020-12-26 2:40
1635레몬비 효돈점안전상비의약품 판매업소20201224<NA>영업/정상<NA><NA><NA><NA><NA>제주특별자치도 서귀포시 신효동 196제주특별자치도 서귀포시 효돈북로 9 (신효동)636052020-12-26 0:23
1636씨유 성산고성LH점안전상비의약품 판매업소20201201<NA>영업/정상<NA><NA><NA><NA><NA>제주특별자치도 서귀포시 성산읍 고성리 1141-1제주특별자치도 서귀포시 성산읍 고성동서로 33636402020-12-04 0:23
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