Overview

Dataset statistics

Number of variables12
Number of observations27
Missing cells4
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory103.9 B

Variable types

Text5
Numeric3
Categorical3
DateTime1

Dataset

Description울산광역시 대규모 점포(대형마트, 쇼핑센터, 백화점 등) 현황 정보(소재지, 전화번호, 영업개시일 등)를 제공하고 있음.
Author울산광역시
URLhttps://www.data.go.kr/data/15083385/fileData.do

Alerts

위도 is highly overall correlated with 휴무일 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 구군High correlation
연번 is highly overall correlated with 구분High correlation
휴무일 is highly overall correlated with 위도High correlation
구군 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 연번High correlation
홈페이지 has 3 (11.1%) missing valuesMissing
영업시간 has 1 (3.7%) missing valuesMissing
상호명 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique
영업개시일 has unique valuesUnique
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:31:38.719280
Analysis finished2023-12-12 22:31:40.133868
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T07:31:40.240479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length10.518519
Min length4

Characters and Unicode

Total characters284
Distinct characters98
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row울산산업공구월드
2nd row진장 회 수산센터
3rd row삼성디지털프라자 북울산본점
4th row신선도원(舊메가마트울산점)
5th row업스퀘어
ValueCountFrequency (%)
울산점 8
 
16.7%
울산동구점 2
 
4.2%
홈플러스 2
 
4.2%
뉴코아아울렛 2
 
4.2%
현대백화점 2
 
4.2%
진장점 1
 
2.1%
울산원예농협 1
 
2.1%
하나로마트 1
 
2.1%
메가마트 1
 
2.1%
언양점 1
 
2.1%
Other values (27) 27
56.2%
2023-12-13T07:31:40.523753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
울 23
 
8.1%
산 23
 
8.1%
점 22
 
7.7%
21
 
7.4%
스 9
 
3.2%
트 8
 
2.8%
플 6
 
2.1%
마 6
 
2.1%
구 5
 
1.8%
이 5
 
1.8%
Other values (88) 156
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
87.3%
Space Separator 21
 
7.4%
Close Punctuation 5
 
1.8%
Open Punctuation 5
 
1.8%
Uppercase Letter 3
 
1.1%
Other Symbol 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 23
 
9.3%
산 23
 
9.3%
점 22
 
8.9%
스 9
 
3.6%
트 8
 
3.2%
플 6
 
2.4%
마 6
 
2.4%
구 5
 
2.0%
이 5
 
2.0%
아 5
 
2.0%
Other values (81) 136
54.8%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
G 1
33.3%
V 1
33.3%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 249
87.7%
Common 31
 
10.9%
Latin 3
 
1.1%
Han 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 23
 
9.2%
산 23
 
9.2%
점 22
 
8.8%
스 9
 
3.6%
트 8
 
3.2%
플 6
 
2.4%
마 6
 
2.4%
구 5
 
2.0%
이 5
 
2.0%
아 5
 
2.0%
Other values (81) 137
55.0%
Common
ValueCountFrequency (%)
21
67.7%
) 5
 
16.1%
( 5
 
16.1%
Latin
ValueCountFrequency (%)
C 1
33.3%
G 1
33.3%
V 1
33.3%
Han
ValueCountFrequency (%)
舊 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
87.0%
ASCII 34
 
12.0%
None 2
 
0.7%
CJK 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
울 23
 
9.3%
산 23
 
9.3%
점 22
 
8.9%
스 9
 
3.6%
트 8
 
3.2%
플 6
 
2.4%
마 6
 
2.4%
구 5
 
2.0%
이 5
 
2.0%
아 5
 
2.0%
Other values (80) 135
54.7%
ASCII
ValueCountFrequency (%)
21
61.8%
) 5
 
14.7%
( 5
 
14.7%
C 1
 
2.9%
G 1
 
2.9%
V 1
 
2.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%
CJK
ValueCountFrequency (%)
舊 1
100.0%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.557823
Minimum35.498972
Maximum35.630083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T07:31:40.623102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.498972
5-th percentile35.522075
Q135.538539
median35.554403
Q335.575584
95-th percentile35.61969
Maximum35.630083
Range0.13111047
Interquartile range (IQR)0.03704548

Descriptive statistics

Standard deviation0.029585538
Coefficient of variation (CV)0.0008320402
Kurtosis1.2069493
Mean35.557823
Median Absolute Deviation (MAD)0.01732191
Skewness0.78780262
Sum960.06121
Variance0.00087530406
MonotonicityNot monotonic
2023-12-13T07:31:40.720466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
35.53579428 1
 
3.7%
35.577287 1
 
3.7%
35.56329025 1
 
3.7%
35.53805652 1
 
3.7%
35.5337671 1
 
3.7%
35.52643041 1
 
3.7%
35.49897221 1
 
3.7%
35.63008268 1
 
3.7%
35.59745083 1
 
3.7%
35.57600435 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
35.49897221 1
3.7%
35.52020798 1
3.7%
35.52643041 1
3.7%
35.5337671 1
3.7%
35.53579428 1
3.7%
35.53805652 1
3.7%
35.53846899 1
3.7%
35.5386084 1
3.7%
35.53964412 1
3.7%
35.54198263 1
3.7%
ValueCountFrequency (%)
35.63008268 1
3.7%
35.629221 1
3.7%
35.59745083 1
3.7%
35.577287 1
3.7%
35.57704657 1
3.7%
35.576269 1
3.7%
35.57600435 1
3.7%
35.575164 1
3.7%
35.57172539 1
3.7%
35.56329025 1
3.7%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.33769
Minimum129.1176
Maximum129.43115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T07:31:40.810947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.1176
5-th percentile129.27238
Q1129.32403
median129.34311
Q3129.35677
95-th percentile129.41853
Maximum129.43115
Range0.3135486
Interquartile range (IQR)0.0327451

Descriptive statistics

Standard deviation0.055669301
Coefficient of variation (CV)0.00043041824
Kurtosis9.4938397
Mean129.33769
Median Absolute Deviation (MAD)0.0151908
Skewness-2.2787459
Sum3492.1176
Variance0.0030990711
MonotonicityNot monotonic
2023-12-13T07:31:40.900793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
129.343113 1
 
3.7%
129.355298 1
 
3.7%
129.3338391 1
 
3.7%
129.348399 1
 
3.7%
129.3152833 1
 
3.7%
129.3227148 1
 
3.7%
129.4274737 1
 
3.7%
129.3448339 1
 
3.7%
129.397652 1
 
3.7%
129.3590248 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
129.1175976 1
3.7%
129.2539957 1
3.7%
129.3152833 1
3.7%
129.3203885 1
3.7%
129.321434 1
3.7%
129.3227148 1
3.7%
129.3234504 1
3.7%
129.3246031 1
3.7%
129.3306723 1
3.7%
129.3338391 1
3.7%
ValueCountFrequency (%)
129.4311462 1
3.7%
129.4274737 1
3.7%
129.397652 1
3.7%
129.359679 1
3.7%
129.3590248 1
3.7%
129.3583038 1
3.7%
129.3571369 1
3.7%
129.3564068 1
3.7%
129.356108 1
3.7%
129.355298 1
3.7%

소재지
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T07:31:41.066896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length21.481481
Min length14

Characters and Unicode

Total characters580
Distinct characters74
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row울산광역시 남구 삼산동 1591-4
2nd row울산광역시 북구 진장유통1로 60
3rd row울산광역시 진장유통로 65
4th row울산광역시 북구 진장17길10(진장명촌지구54B 1L)
5th row울산광역시 남구 삼산동 1569-1
ValueCountFrequency (%)
울산광역시 27
25.0%
남구 9
 
8.3%
북구 9
 
8.3%
삼산동 5
 
4.6%
진장유통로 5
 
4.6%
중구 4
 
3.7%
동구 2
 
1.9%
울주군 2
 
1.9%
방어진순환도로 2
 
1.9%
번영로 2
 
1.9%
Other values (41) 41
38.0%
2023-12-13T07:31:41.665579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
14.0%
산 36
 
6.2%
울 29
 
5.0%
시 28
 
4.8%
1 27
 
4.7%
역 27
 
4.7%
광 27
 
4.7%
구 26
 
4.5%
동 21
 
3.6%
로 16
 
2.8%
Other values (64) 262
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
60.2%
Decimal Number 109
 
18.8%
Space Separator 81
 
14.0%
Close Punctuation 14
 
2.4%
Open Punctuation 14
 
2.4%
Dash Punctuation 11
 
1.9%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 36
 
10.3%
울 29
 
8.3%
시 28
 
8.0%
역 27
 
7.7%
광 27
 
7.7%
구 26
 
7.4%
동 21
 
6.0%
로 16
 
4.6%
진 15
 
4.3%
장 14
 
4.0%
Other values (48) 110
31.5%
Decimal Number
ValueCountFrequency (%)
1 27
24.8%
6 12
11.0%
4 10
 
9.2%
7 10
 
9.2%
3 9
 
8.3%
0 9
 
8.3%
8 9
 
8.3%
5 8
 
7.3%
2 8
 
7.3%
9 7
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
60.2%
Common 229
39.5%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 36
 
10.3%
울 29
 
8.3%
시 28
 
8.0%
역 27
 
7.7%
광 27
 
7.7%
구 26
 
7.4%
동 21
 
6.0%
로 16
 
4.6%
진 15
 
4.3%
장 14
 
4.0%
Other values (48) 110
31.5%
Common
ValueCountFrequency (%)
81
35.4%
1 27
 
11.8%
) 14
 
6.1%
( 14
 
6.1%
6 12
 
5.2%
- 11
 
4.8%
4 10
 
4.4%
7 10
 
4.4%
3 9
 
3.9%
0 9
 
3.9%
Other values (4) 32
 
14.0%
Latin
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
60.2%
ASCII 231
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
35.1%
1 27
 
11.7%
) 14
 
6.1%
( 14
 
6.1%
6 12
 
5.2%
- 11
 
4.8%
4 10
 
4.3%
7 10
 
4.3%
3 9
 
3.9%
0 9
 
3.9%
Other values (6) 34
14.7%
Hangul
ValueCountFrequency (%)
산 36
 
10.3%
울 29
 
8.3%
시 28
 
8.0%
역 27
 
7.7%
광 27
 
7.7%
구 26
 
7.4%
동 21
 
6.0%
로 16
 
4.6%
진 15
 
4.3%
장 14
 
4.0%
Other values (48) 110
31.5%

전화번호
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T07:31:41.928548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.814815
Min length9

Characters and Unicode

Total characters319
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

Unique27 ?
Unique (%)100.0%

Sample

1st row052-266-8796
2nd row052-248-0110
3rd row052-291-0330
4th row052-219-6021
5th row052-990-5000
ValueCountFrequency (%)
052-266-8796 1
 
3.7%
052-287-9027 1
 
3.7%
052-220-1234 1
 
3.7%
052-228-2500 1
 
3.7%
052-270-8000 1
 
3.7%
052-230-8000 1
 
3.7%
052-293-2080 1
 
3.7%
1899-9900 1
 
3.7%
052-240-2500 1
 
3.7%
052-255-6000 1
 
3.7%
Other values (17) 17
63.0%
2023-12-13T07:31:42.283070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83
26.0%
2 68
21.3%
- 52
16.3%
5 37
11.6%
9 17
 
5.3%
1 16
 
5.0%
8 12
 
3.8%
3 12
 
3.8%
6 8
 
2.5%
4 8
 
2.5%
Other values (2) 6
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 266
83.4%
Dash Punctuation 52
 
16.3%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83
31.2%
2 68
25.6%
5 37
13.9%
9 17
 
6.4%
1 16
 
6.0%
8 12
 
4.5%
3 12
 
4.5%
6 8
 
3.0%
4 8
 
3.0%
7 5
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 83
26.0%
2 68
21.3%
- 52
16.3%
5 37
11.6%
9 17
 
5.3%
1 16
 
5.0%
8 12
 
3.8%
3 12
 
3.8%
6 8
 
2.5%
4 8
 
2.5%
Other values (2) 6
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83
26.0%
2 68
21.3%
- 52
16.3%
5 37
11.6%
9 17
 
5.3%
1 16
 
5.0%
8 12
 
3.8%
3 12
 
3.8%
6 8
 
2.5%
4 8
 
2.5%
Other values (2) 6
 
1.9%

홈페이지
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing3
Missing (%)11.1%
Memory size348.0 B
2023-12-13T07:31:42.516888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length46.5
Mean length53.041667
Min length18

Characters and Unicode

Total characters1273
Distinct characters64
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st rowhttps://www.facebook.com/ulsantools
2nd rowhttp://miraeenter.barunweb.co.kr/
3rd rowhttps://www.samsung.com/sec/digitalplaza/storeDetail/C1L0-ARZ566/
4th rowhttps://www.sinsundowon.com/
5th rowhttps://www.upsquare.co.kr/
ValueCountFrequency (%)
http://miraeenter.barunweb.co.kr 1
 
4.2%
https://www.samsung.com/sec/digitalplaza/storedetail/c1l0-arz566 1
 
4.2%
https://store.modaoutlet.co.kr/branchinfo/14 1
 
4.2%
https://emart.com 1
 
4.2%
https://company.lottemart.com/ulsan.mart 1
 
4.2%
https://corporate.homeplus.co.kr/store/hypermarket_view.aspx?sn=0034&ind=homeplus 1
 
4.2%
https://corporate.homeplus.co.kr/store/hypermarket_view.aspx?sn=0084&ind=homeplus 1
 
4.2%
https://corporate.homeplus.co.kr/store/hypermarket_view.aspx?sn=0165&ind=homeplus 1
 
4.2%
https://www.costco.co.kr/store-finder 1
 
4.2%
https://company.lottemart.com/jinjang.mart 1
 
4.2%
Other values (14) 14
58.3%
2023-12-13T07:31:42.939212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 93
 
7.3%
/ 92
 
7.2%
o 74
 
5.8%
. 69
 
5.4%
e 66
 
5.2%
r 64
 
5.0%
a 62
 
4.9%
0 60
 
4.7%
s 57
 
4.5%
p 49
 
3.8%
Other values (54) 587
46.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 830
65.2%
Other Punctuation 204
 
16.0%
Decimal Number 112
 
8.8%
Uppercase Letter 101
 
7.9%
Math Symbol 18
 
1.4%
Connector Punctuation 6
 
0.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 93
11.2%
o 74
 
8.9%
e 66
 
8.0%
r 64
 
7.7%
a 62
 
7.5%
s 57
 
6.9%
p 49
 
5.9%
w 47
 
5.7%
c 46
 
5.5%
h 45
 
5.4%
Other values (16) 227
27.3%
Uppercase Letter
ValueCountFrequency (%)
O 10
9.9%
S 10
9.9%
P 10
9.9%
M 9
8.9%
H 9
8.9%
E 8
 
7.9%
D 7
 
6.9%
C 6
 
5.9%
L 5
 
5.0%
R 5
 
5.0%
Other values (9) 22
21.8%
Decimal Number
ValueCountFrequency (%)
0 60
53.6%
1 14
 
12.5%
2 10
 
8.9%
5 6
 
5.4%
6 6
 
5.4%
3 5
 
4.5%
4 4
 
3.6%
7 4
 
3.6%
8 2
 
1.8%
9 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
/ 92
45.1%
. 69
33.8%
: 24
 
11.8%
? 10
 
4.9%
& 8
 
3.9%
% 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
= 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 931
73.1%
Common 342
 
26.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 93
 
10.0%
o 74
 
7.9%
e 66
 
7.1%
r 64
 
6.9%
a 62
 
6.7%
s 57
 
6.1%
p 49
 
5.3%
w 47
 
5.0%
c 46
 
4.9%
h 45
 
4.8%
Other values (35) 328
35.2%
Common
ValueCountFrequency (%)
/ 92
26.9%
. 69
20.2%
0 60
17.5%
: 24
 
7.0%
= 18
 
5.3%
1 14
 
4.1%
2 10
 
2.9%
? 10
 
2.9%
& 8
 
2.3%
_ 6
 
1.8%
Other values (9) 31
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 93
 
7.3%
/ 92
 
7.2%
o 74
 
5.8%
. 69
 
5.4%
e 66
 
5.2%
r 64
 
5.0%
a 62
 
4.9%
0 60
 
4.7%
s 57
 
4.5%
p 49
 
3.8%
Other values (54) 587
46.1%

영업시간
Text

MISSING 

Distinct19
Distinct (%)73.1%
Missing1
Missing (%)3.7%
Memory size348.0 B
2023-12-13T07:31:43.139013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length11
Mean length22.884615
Min length11

Characters and Unicode

Total characters595
Distinct characters30
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)61.5%

Sample

1st row08:00~20:30
2nd row10:00~01:00
3rd row평일 10:30~20:30 / 주말 10:30~20:30
4th row10:00~23:00
5th row10:30~22:00
ValueCountFrequency (%)
10:00~24:00 4
 
10.0%
10:00~23:00 3
 
7.5%
월,화,수,목)10:30~20:00 3
 
7.5%
금,토,일)10:30~20:30 3
 
7.5%
10:00~22:00 3
 
7.5%
10:30~20:30 2
 
5.0%
10:00~20:00 1
 
2.5%
주말 1
 
2.5%
1
 
2.5%
평일 1
 
2.5%
Other values (18) 18
45.0%
2023-12-13T07:31:43.480664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 171
28.7%
: 74
12.4%
, 57
 
9.6%
1 41
 
6.9%
2 40
 
6.7%
~ 37
 
6.2%
3 33
 
5.5%
( 19
 
3.2%
) 19
 
3.2%
14
 
2.4%
Other values (20) 90
15.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 296
49.7%
Other Punctuation 132
22.2%
Other Letter 78
 
13.1%
Math Symbol 37
 
6.2%
Open Punctuation 19
 
3.2%
Close Punctuation 19
 
3.2%
Space Separator 14
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 12
15.4%
토 9
11.5%
월 9
11.5%
화 9
11.5%
수 9
11.5%
목 9
11.5%
금 8
10.3%
매 2
 
2.6%
식 2
 
2.6%
당 2
 
2.6%
Other values (6) 7
9.0%
Decimal Number
ValueCountFrequency (%)
0 171
57.8%
1 41
 
13.9%
2 40
 
13.5%
3 33
 
11.1%
4 5
 
1.7%
9 4
 
1.4%
8 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 74
56.1%
, 57
43.2%
/ 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 517
86.9%
Hangul 78
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 12
15.4%
토 9
11.5%
월 9
11.5%
화 9
11.5%
수 9
11.5%
목 9
11.5%
금 8
10.3%
매 2
 
2.6%
식 2
 
2.6%
당 2
 
2.6%
Other values (6) 7
9.0%
Common
ValueCountFrequency (%)
0 171
33.1%
: 74
14.3%
, 57
 
11.0%
1 41
 
7.9%
2 40
 
7.7%
~ 37
 
7.2%
3 33
 
6.4%
( 19
 
3.7%
) 19
 
3.7%
14
 
2.7%
Other values (4) 12
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 517
86.9%
Hangul 78
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 171
33.1%
: 74
14.3%
, 57
 
11.0%
1 41
 
7.9%
2 40
 
7.7%
~ 37
 
7.2%
3 33
 
6.4%
( 19
 
3.7%
) 19
 
3.7%
14
 
2.7%
Other values (4) 12
 
2.3%
Hangul
ValueCountFrequency (%)
일 12
15.4%
토 9
11.5%
월 9
11.5%
화 9
11.5%
수 9
11.5%
목 9
11.5%
금 8
10.3%
매 2
 
2.6%
식 2
 
2.6%
당 2
 
2.6%
Other values (6) 7
9.0%

휴무일
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
연중무휴
9 
매월 둘째주 수요일, 마지막 일요일
7 
설날, 추석
3 
매주 일요일
2 
매월 셋째주 월요일
2 
Other values (4)
4 

Length

Max length32
Median length19
Mean length10.925926
Min length4

Unique

Unique4 ?
Unique (%)14.8%

Sample

1st row매주 일요일
2nd row연중무휴
3rd row연중무휴
4th row매월 둘째주 수요일, 마지막 일요일
5th row연중무휴

Common Values

ValueCountFrequency (%)
연중무휴 9
33.3%
매월 둘째주 수요일, 마지막 일요일 7
25.9%
설날, 추석 3
 
11.1%
매주 일요일 2
 
7.4%
매월 셋째주 월요일 2
 
7.4%
매월 마지막 월요일 1
 
3.7%
매월 둘째주, 넷째주 월요일 1
 
3.7%
매월 둘째주 수요일, 넷째주 일요일, 1/1, 설날, 추석 1
 
3.7%
매월 둘째주 일요일, 넷째주 일요일 1
 
3.7%

Length

2023-12-13T07:31:43.610165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:31:43.732467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매월 13
16.2%
일요일 12
15.0%
둘째주 10
12.5%
연중무휴 9
11.2%
수요일 8
10.0%
마지막 8
10.0%
설날 4
 
5.0%
추석 4
 
5.0%
월요일 4
 
5.0%
넷째주 3
 
3.8%
Other values (3) 5
 
6.2%

영업개시일
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum1977-07-07 00:00:00
Maximum2021-12-09 00:00:00
2023-12-13T07:31:43.840939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:43.963756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

구군
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size348.0 B
북구
10 
남구
9 
중구
4 
동구
2 
울주군
2 

Length

Max length3
Median length2
Mean length2.0740741
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남구
2nd row북구
3rd row북구
4th row북구
5th row남구

Common Values

ValueCountFrequency (%)
북구 10
37.0%
남구 9
33.3%
중구 4
 
14.8%
동구 2
 
7.4%
울주군 2
 
7.4%

Length

2023-12-13T07:31:44.116592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:31:44.215405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 10
37.0%
남구 9
33.3%
중구 4
 
14.8%
동구 2
 
7.4%
울주군 2
 
7.4%

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
대형마트
10 
쇼핑센터
4 
전문점
4 
기타
3 
복합쇼핑몰
3 

Length

Max length5
Median length4
Mean length3.6296296
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
3rd row기타
4th row복합쇼핑몰
5th row복합쇼핑몰

Common Values

ValueCountFrequency (%)
대형마트 10
37.0%
쇼핑센터 4
 
14.8%
전문점 4
 
14.8%
기타 3
 
11.1%
복합쇼핑몰 3
 
11.1%
백화점 3
 
11.1%

Length

2023-12-13T07:31:44.328578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:31:44.436007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대형마트 10
37.0%
쇼핑센터 4
 
14.8%
전문점 4
 
14.8%
기타 3
 
11.1%
복합쇼핑몰 3
 
11.1%
백화점 3
 
11.1%

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T07:31:44.536434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2023-12-13T07:31:44.645268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

Interactions

2023-12-13T07:31:39.615455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:39.172370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:39.378712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:39.688621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:39.244097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:39.460234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:39.771134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:39.311163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:39.537188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:31:44.734563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호명위도경도소재지전화번호홈페이지영업시간휴무일영업개시일구군구분연번
상호명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0000.8321.0001.0001.0000.0000.8291.0000.8510.2200.706
경도1.0000.8321.0001.0001.0001.0000.0000.7911.0000.9740.1490.836
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
영업시간1.0000.0000.0001.0001.0001.0001.0000.8561.0000.6680.9310.909
휴무일1.0000.8290.7911.0001.0001.0000.8561.0001.0000.5890.7140.554
영업개시일1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
구군1.0000.8510.9741.0001.0001.0000.6680.5891.0001.0000.1380.888
구분1.0000.2200.1491.0001.0001.0000.9310.7141.0000.1381.0000.963
연번1.0000.7060.8361.0001.0001.0000.9090.5541.0000.8880.9631.000
2023-12-13T07:31:44.849706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무일구분구군
휴무일1.0000.4050.337
구분0.4051.0000.000
구군0.3370.0001.000
2023-12-13T07:31:44.943393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도연번휴무일구군구분
위도1.0000.257-0.0950.5760.6830.040
경도0.2571.000-0.1430.4450.7380.000
연번-0.095-0.1431.0000.2970.4140.757
휴무일0.5760.4450.2971.0000.3370.405
구군0.6830.7380.4140.3371.0000.000
구분0.0400.0000.7570.4050.0001.000

Missing values

2023-12-13T07:31:39.883005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:31:40.015803image/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.
2023-12-13T07:31:40.095814image/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

상호명위도경도소재지전화번호홈페이지영업시간휴무일영업개시일구군구분연번
0울산산업공구월드35.535794129.343113울산광역시 남구 삼산동 1591-4052-266-8796https://www.facebook.com/ulsantools08:00~20:30매주 일요일1997-11-28남구기타1
1진장 회 수산센터35.577287129.355298울산광역시 북구 진장유통1로 60052-248-0110http://miraeenter.barunweb.co.kr/10:00~01:00연중무휴2021-11-10북구기타2
2삼성디지털프라자 북울산본점35.629221129.346055울산광역시 진장유통로 65052-291-0330https://www.samsung.com/sec/digitalplaza/storeDetail/C1L0-ARZ566/평일 10:30~20:30 / 주말 10:30~20:30연중무휴2021-12-09북구기타3
3신선도원(舊메가마트울산점)35.561365129.356407울산광역시 북구 진장17길10(진장명촌지구54B 1L)052-219-6021https://www.sinsundowon.com/10:00~23:00매월 둘째주 수요일, 마지막 일요일2016-06-17북구복합쇼핑몰4
4업스퀘어35.541983129.338842울산광역시 남구 삼산동 1569-1052-990-5000https://www.upsquare.co.kr/10:30~22:00연중무휴2013-04-30남구복합쇼핑몰5
5진장CGV엔터플렉스35.576269129.356108울산광역시 북구 진장유통로 51-101544-1122http://www.cgv.co.kr/theaters/?areacode=05%2C207&theaterCode=0246&date=20181207<NA>연중무휴2018-11-22북구복합쇼핑몰6
6현대백화점 울산동구점35.520208129.431146울산광역시 동구 방어진순환도로 889(서부동)052-234-2233https://www.ehyundai.com/newPortal/DP/DP000000_V.do?branchCd=B00125000(월,화,수,목)10:30~20:00, (금,토,일)10:30~20:30, (매일,식당가)10:30~21:30매월 마지막 월요일1977-07-07동구백화점7
7롯데백화점 울산점35.538469129.338348울산광역시 남구 삼산동 1480-1052-960-2500https://www.lotteshopping.com/branchShopGuide/floorGuideSub?cstr=0015(월,화,수,목)10:30~20:00, (금,토,일)10:30~20:30매월 셋째주 월요일2001-07-20남구백화점8
8현대백화점 울산점35.539644129.335803울산광역시 남구 삼산동 1521-1052-228-2233https://www.ehyundai.com/newPortal/DP/DP000000_V.do?branchCd=B00129000(월,화,수,목)10:30~20:00, (금,토,일)10:30~20:30, (매일,식당가)10:30~22:00매월 셋째주 월요일1997-08-25남구백화점9
9뉴코아아울렛 울산점35.538608129.330672울산광역시 남구 달동 1360-3052-228-5000https://www.elandretail.com/store01.do?branchID=00110035&lang=000600KO(월,화,수,목,금)10:30~20:30, (토,일)10:30~21:00설날, 추석2006-05-01남구쇼핑센터10
상호명위도경도소재지전화번호홈페이지영업시간휴무일영업개시일구군구분연번
17울산원예농협 하나로마트35.557544129.253996울산광역시 울주군 범서읍 장검길 10052-220-6500<NA>(월,화,수,목,금,일)09:00~23:00, (토)09:00~10:30연중무휴2010-05-13울주군대형마트18
18메가마트 언양점35.546339129.117598울산광역시 울주군 삼남면 반구대로 612052-255-6000https://home.megamart.com/store/270209:00~23:00연중무휴1998-07-22울주군대형마트19
19롯데마트 진장점35.576004129.359025울산광역시 북구 진장유통로 64(진장동)052-240-2500https://company.lottemart.com/jinjang.mart10:00~22:00매월 둘째주 수요일, 마지막 일요일2006-05-11북구대형마트20
20코스트코홀세일 울산점35.597451129.397652울산광역시 북구 진장 174길 10(진장동)1899-9900https://www.costco.co.kr/store-finder10:00~22:00매월 둘째주 수요일, 넷째주 일요일, 1/1, 설날, 추석2012-08-31북구대형마트21
21홈플러스 울산북구점35.630083129.344834울산광역시 북구 신답로 26(상안동)052-293-2080https://corporate.homeplus.co.kr/STORE/HyperMarket_view.aspx?sn=0165&ind=HOMEPLUS10:00~24:00매월 둘째주 수요일, 마지막 일요일2008-10-02북구대형마트22
22홈플러스㈜ 울산동구점35.498972129.427474울산광역시 동구 방어진순환도로 637(일산동)052-230-8000https://corporate.homeplus.co.kr/STORE/HyperMarket_view.aspx?sn=0084&ind=HOMEPLUS10:00~24:00매월 둘째주 일요일, 넷째주 일요일2008-08-06동구대형마트23
23홈플러스울산 남구점35.52643129.322715울산광역시 남구 수암로148(야음동789-91)052-270-8000https://corporate.homeplus.co.kr/STORE/HyperMarket_view.aspx?sn=0034&ind=HOMEPLUS10:00~24:00매월 둘째주 수요일, 마지막 일요일2003-04-10남구대형마트24
24롯데마트울산점35.533767129.315283울산광역시 남구 삼산로74(달동833-1)052-228-2500https://company.lottemart.com/ulsan.mart10:00~23:00매월 둘째주 수요일, 마지막 일요일1999-07-14남구대형마트25
25이마트 울산점35.538057129.348399울산광역시 남구 삼산동 1646052-220-1234https://emart.com/10:00~23:00매월 둘째주 수요일, 마지막 일요일2003-11-27남구대형마트26
26홈플러스 울산점35.56329129.333839울산광역시 중구 번영로 457(복산동)052-290-8000https://corporate.homeplus.co.kr/STORE/HyperMarket_view.aspx?sn=0023&ind=HOMEPLUS10:00~24:00매월 둘째주 수요일, 마지막 일요일2001-11-06중구대형마트27