Overview

Dataset statistics

Number of variables12
Number of observations190
Missing cells10
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.3 KiB
Average record size in memory98.7 B

Variable types

Categorical5
Text5
Numeric2

Dataset

Description파주시 관내 주둔 군인(사병) 대상 할인업소 데이터로서 업종, 지역, 업소명, 소재지 도로명주소 및 지번주소, 위경도, 업소연락처, 할인내용 등의 정보를 제공합니다.
Author경기도 파주시
URLhttps://www.data.go.kr/data/15126366/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
지역 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
업종 is highly imbalanced (52.2%)Imbalance
업소연락처 has 10 (5.3%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 22:57:03.017591
Analysis finished2024-03-14 22:57:05.836169
Duration2.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
일반음식점
146 
숙박업
17 
미용업
 
14
목욕장업
 
6
휴게음식점
 
6

Length

Max length11
Median length5
Mean length4.6736842
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 146
76.8%
숙박업 17
 
8.9%
미용업 14
 
7.4%
목욕장업 6
 
3.2%
휴게음식점 6
 
3.2%
일반음식점+휴게음식점 1
 
0.5%

Length

2024-03-15T07:57:06.071234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:57:06.444487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 146
76.8%
숙박업 17
 
8.9%
미용업 14
 
7.4%
목욕장업 6
 
3.2%
휴게음식점 6
 
3.2%
일반음식점+휴게음식점 1
 
0.5%

지역
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
문산
47 
탄현
29 
법원
25 
적성
25 
금촌
21 
Other values (7)
43 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row금촌
2nd row문산
3rd row법원
4th row법원
5th row적성

Common Values

ValueCountFrequency (%)
문산 47
24.7%
탄현 29
15.3%
법원 25
13.2%
적성 25
13.2%
금촌 21
11.1%
광탄 12
 
6.3%
파주 11
 
5.8%
운정 8
 
4.2%
파평 7
 
3.7%
교하 3
 
1.6%
Other values (2) 2
 
1.1%

Length

2024-03-15T07:57:06.895568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문산 47
24.7%
탄현 29
15.3%
법원 25
13.2%
적성 25
13.2%
금촌 21
11.1%
광탄 12
 
6.3%
파주 11
 
5.8%
운정 8
 
4.2%
파평 7
 
3.7%
교하 3
 
1.6%
Other values (2) 2
 
1.1%

업소명
Text

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T07:57:07.899033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length6.5789474
Min length2

Characters and Unicode

Total characters1250
Distinct characters336
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)100.0%

Sample

1st row지앤지스파
2nd row청도훼미리랜드
3rd row가야랜드
4th row대영목욕탕
5th row승원24시사우나
ValueCountFrequency (%)
파주문산점 3
 
1.3%
모텔 2
 
0.8%
한우마을 2
 
0.8%
문산점 2
 
0.8%
풍미진해장국 2
 
0.8%
적성점 2
 
0.8%
초리골 2
 
0.8%
일품양평해장국 2
 
0.8%
산아래해물 1
 
0.4%
유진참치 1
 
0.4%
Other values (219) 219
92.0%
2024-03-15T07:57:09.531576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
3.9%
점 29
 
2.3%
장 21
 
1.7%
이 21
 
1.7%
리 21
 
1.7%
두 16
 
1.3%
산 16
 
1.3%
국 15
 
1.2%
) 14
 
1.1%
( 14
 
1.1%
Other values (326) 1034
82.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1136
90.9%
Space Separator 49
 
3.9%
Uppercase Letter 16
 
1.3%
Decimal Number 15
 
1.2%
Close Punctuation 14
 
1.1%
Open Punctuation 14
 
1.1%
Other Punctuation 3
 
0.2%
Lowercase Letter 2
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 29
 
2.6%
장 21
 
1.8%
이 21
 
1.8%
리 21
 
1.8%
두 16
 
1.4%
산 16
 
1.4%
국 15
 
1.3%
부 13
 
1.1%
원 13
 
1.1%
주 13
 
1.1%
Other values (295) 958
84.3%
Uppercase Letter
ValueCountFrequency (%)
Z 2
12.5%
M 2
12.5%
D 1
 
6.2%
T 1
 
6.2%
W 1
 
6.2%
I 1
 
6.2%
K 1
 
6.2%
C 1
 
6.2%
A 1
 
6.2%
H 1
 
6.2%
Other values (4) 4
25.0%
Decimal Number
ValueCountFrequency (%)
0 4
26.7%
9 2
13.3%
5 2
13.3%
6 2
13.3%
1 1
 
6.7%
7 1
 
6.7%
3 1
 
6.7%
4 1
 
6.7%
2 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1137
91.0%
Common 95
 
7.6%
Latin 18
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 29
 
2.6%
장 21
 
1.8%
이 21
 
1.8%
리 21
 
1.8%
두 16
 
1.4%
산 16
 
1.4%
국 15
 
1.3%
부 13
 
1.1%
원 13
 
1.1%
주 13
 
1.1%
Other values (296) 959
84.3%
Latin
ValueCountFrequency (%)
Z 2
 
11.1%
M 2
 
11.1%
D 1
 
5.6%
T 1
 
5.6%
h 1
 
5.6%
e 1
 
5.6%
W 1
 
5.6%
I 1
 
5.6%
K 1
 
5.6%
C 1
 
5.6%
Other values (6) 6
33.3%
Common
ValueCountFrequency (%)
49
51.6%
) 14
 
14.7%
( 14
 
14.7%
0 4
 
4.2%
9 2
 
2.1%
. 2
 
2.1%
5 2
 
2.1%
6 2
 
2.1%
1 1
 
1.1%
7 1
 
1.1%
Other values (4) 4
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1136
90.9%
ASCII 113
 
9.0%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
43.4%
) 14
 
12.4%
( 14
 
12.4%
0 4
 
3.5%
Z 2
 
1.8%
9 2
 
1.8%
. 2
 
1.8%
5 2
 
1.8%
6 2
 
1.8%
M 2
 
1.8%
Other values (20) 20
17.7%
Hangul
ValueCountFrequency (%)
점 29
 
2.6%
장 21
 
1.8%
이 21
 
1.8%
리 21
 
1.8%
두 16
 
1.4%
산 16
 
1.4%
국 15
 
1.3%
부 13
 
1.1%
원 13
 
1.1%
주 13
 
1.1%
Other values (295) 958
84.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지도로명주소
Text

Distinct183
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T07:57:11.178031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length19.773684
Min length13

Characters and Unicode

Total characters3757
Distinct characters133
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)92.6%

Sample

1st row경기도 파주시 가나무로 143
2nd row경기도 파주시 문산읍 문산역로 107
3rd row경기도 파주시 법원읍 사임당로 674
4th row경기도 파주시 법원읍 술이홀로879번길 5
5th row경기도 파주시 적성면 칠중5길 8
ValueCountFrequency (%)
경기도 190
20.6%
파주시 190
20.6%
문산읍 47
 
5.1%
탄현면 29
 
3.1%
적성면 25
 
2.7%
법원읍 25
 
2.7%
문향로 13
 
1.4%
광탄면 12
 
1.3%
파주읍 11
 
1.2%
새오리로 10
 
1.1%
Other values (249) 371
40.2%
2024-03-15T07:57:13.072928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
748
19.9%
파 211
 
5.6%
주 201
 
5.4%
기 193
 
5.1%
경 192
 
5.1%
시 192
 
5.1%
도 190
 
5.1%
로 160
 
4.3%
1 134
 
3.6%
읍 84
 
2.2%
Other values (123) 1452
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2320
61.8%
Space Separator 748
 
19.9%
Decimal Number 632
 
16.8%
Dash Punctuation 57
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 211
 
9.1%
주 201
 
8.7%
기 193
 
8.3%
경 192
 
8.3%
시 192
 
8.3%
도 190
 
8.2%
로 160
 
6.9%
읍 84
 
3.6%
면 74
 
3.2%
문 71
 
3.1%
Other values (111) 752
32.4%
Decimal Number
ValueCountFrequency (%)
1 134
21.2%
2 77
12.2%
4 71
11.2%
3 67
10.6%
5 53
 
8.4%
9 52
 
8.2%
6 47
 
7.4%
0 46
 
7.3%
7 43
 
6.8%
8 42
 
6.6%
Space Separator
ValueCountFrequency (%)
748
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2320
61.8%
Common 1437
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 211
 
9.1%
주 201
 
8.7%
기 193
 
8.3%
경 192
 
8.3%
시 192
 
8.3%
도 190
 
8.2%
로 160
 
6.9%
읍 84
 
3.6%
면 74
 
3.2%
문 71
 
3.1%
Other values (111) 752
32.4%
Common
ValueCountFrequency (%)
748
52.1%
1 134
 
9.3%
2 77
 
5.4%
4 71
 
4.9%
3 67
 
4.7%
- 57
 
4.0%
5 53
 
3.7%
9 52
 
3.6%
6 47
 
3.3%
0 46
 
3.2%
Other values (2) 85
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2320
61.8%
ASCII 1437
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
748
52.1%
1 134
 
9.3%
2 77
 
5.4%
4 71
 
4.9%
3 67
 
4.7%
- 57
 
4.0%
5 53
 
3.7%
9 52
 
3.6%
6 47
 
3.3%
0 46
 
3.2%
Other values (2) 85
 
5.9%
Hangul
ValueCountFrequency (%)
파 211
 
9.1%
주 201
 
8.7%
기 193
 
8.3%
경 192
 
8.3%
시 192
 
8.3%
도 190
 
8.2%
로 160
 
6.9%
읍 84
 
3.6%
면 74
 
3.2%
문 71
 
3.1%
Other values (111) 752
32.4%

소재지지번주소
Text

Distinct180
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T07:57:14.653457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.263158
Min length15

Characters and Unicode

Total characters3850
Distinct characters84
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)89.5%

Sample

1st row경기도 파주시 금릉동 211-5
2nd row경기도 파주시 문산읍 문산리 17-25
3rd row경기도 파주시 법원읍 가야리 330-14
4th row경기도 파주시 법원읍 대능리 94-50
5th row경기도 파주시 적성면 구읍리 645-1
ValueCountFrequency (%)
경기도 190
20.7%
파주시 190
20.7%
문산읍 47
 
5.1%
탄현면 29
 
3.2%
법원읍 25
 
2.7%
적성면 25
 
2.7%
문산리 21
 
2.3%
성동리 18
 
2.0%
대능리 14
 
1.5%
금촌동 13
 
1.4%
Other values (226) 347
37.8%
2024-03-15T07:57:17.142459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
729
18.9%
파 212
 
5.5%
주 205
 
5.3%
기 191
 
5.0%
경 190
 
4.9%
도 190
 
4.9%
시 190
 
4.9%
- 171
 
4.4%
리 159
 
4.1%
1 127
 
3.3%
Other values (74) 1486
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2186
56.8%
Decimal Number 764
 
19.8%
Space Separator 729
 
18.9%
Dash Punctuation 171
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 212
 
9.7%
주 205
 
9.4%
기 191
 
8.7%
경 190
 
8.7%
도 190
 
8.7%
시 190
 
8.7%
리 159
 
7.3%
읍 93
 
4.3%
산 77
 
3.5%
면 74
 
3.4%
Other values (62) 605
27.7%
Decimal Number
ValueCountFrequency (%)
1 127
16.6%
3 90
11.8%
2 89
11.6%
4 80
10.5%
9 73
9.6%
5 71
9.3%
7 70
9.2%
6 69
9.0%
8 60
7.9%
0 35
 
4.6%
Space Separator
ValueCountFrequency (%)
729
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2186
56.8%
Common 1664
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 212
 
9.7%
주 205
 
9.4%
기 191
 
8.7%
경 190
 
8.7%
도 190
 
8.7%
시 190
 
8.7%
리 159
 
7.3%
읍 93
 
4.3%
산 77
 
3.5%
면 74
 
3.4%
Other values (62) 605
27.7%
Common
ValueCountFrequency (%)
729
43.8%
- 171
 
10.3%
1 127
 
7.6%
3 90
 
5.4%
2 89
 
5.3%
4 80
 
4.8%
9 73
 
4.4%
5 71
 
4.3%
7 70
 
4.2%
6 69
 
4.1%
Other values (2) 95
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2186
56.8%
ASCII 1664
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
729
43.8%
- 171
 
10.3%
1 127
 
7.6%
3 90
 
5.4%
2 89
 
5.3%
4 80
 
4.8%
9 73
 
4.4%
5 71
 
4.3%
7 70
 
4.2%
6 69
 
4.1%
Other values (2) 95
 
5.7%
Hangul
ValueCountFrequency (%)
파 212
 
9.7%
주 205
 
9.4%
기 191
 
8.7%
경 190
 
8.7%
도 190
 
8.7%
시 190
 
8.7%
리 159
 
7.3%
읍 93
 
4.3%
산 77
 
3.5%
면 74
 
3.4%
Other values (62) 605
27.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct180
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.835685
Minimum37.706529
Maximum37.963934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-15T07:57:17.615699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.706529
5-th percentile37.732424
Q137.781579
median37.849085
Q337.862689
95-th percentile37.95644
Maximum37.963934
Range0.25740465
Interquartile range (IQR)0.08110984

Descriptive statistics

Standard deviation0.065549369
Coefficient of variation (CV)0.0017324748
Kurtosis-0.44269351
Mean37.835685
Median Absolute Deviation (MAD)0.046348125
Skewness0.27948837
Sum7188.7801
Variance0.0042967198
MonotonicityNot monotonic
2024-03-15T07:57:18.163062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.86835503 2
 
1.1%
37.86744162 2
 
1.1%
37.86765503 2
 
1.1%
37.80786061 2
 
1.1%
37.77922595 2
 
1.1%
37.85664204 2
 
1.1%
37.71099491 2
 
1.1%
37.77647423 2
 
1.1%
37.95496013 2
 
1.1%
37.84830778 2
 
1.1%
Other values (170) 170
89.5%
ValueCountFrequency (%)
37.70652891 1
0.5%
37.71099491 2
1.1%
37.71149835 1
0.5%
37.71257335 1
0.5%
37.71450879 1
0.5%
37.72302096 1
0.5%
37.72647052 1
0.5%
37.72787259 1
0.5%
37.72909618 1
0.5%
37.73649139 1
0.5%
ValueCountFrequency (%)
37.96393356 1
0.5%
37.9637479 1
0.5%
37.96334225 1
0.5%
37.96257912 1
0.5%
37.96042671 1
0.5%
37.95907723 1
0.5%
37.95724031 1
0.5%
37.95687875 1
0.5%
37.95686973 1
0.5%
37.95644987 1
0.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct180
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.80485
Minimum126.68395
Maximum126.92736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-15T07:57:18.651021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68395
5-th percentile126.68703
Q1126.77152
median126.78651
Q3126.8713
95-th percentile126.91992
Maximum126.92736
Range0.2434178
Interquartile range (IQR)0.09978605

Descriptive statistics

Standard deviation0.071291517
Coefficient of variation (CV)0.00056221444
Kurtosis-0.89922074
Mean126.80485
Median Absolute Deviation (MAD)0.0528713
Skewness0.01823611
Sum24092.921
Variance0.0050824804
MonotonicityNot monotonic
2024-03-15T07:57:18.987909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7862549 2
 
1.1%
126.7845634 2
 
1.1%
126.7838597 2
 
1.1%
126.8524514 2
 
1.1%
126.6867286 2
 
1.1%
126.7971441 2
 
1.1%
126.737402 2
 
1.1%
126.6876757 2
 
1.1%
126.9210794 2
 
1.1%
126.8767011 2
 
1.1%
Other values (170) 170
89.5%
ValueCountFrequency (%)
126.6839452 1
0.5%
126.6850986 1
0.5%
126.6852205 1
0.5%
126.6856398 1
0.5%
126.6856603 1
0.5%
126.6859993 1
0.5%
126.6863285 1
0.5%
126.6867286 2
1.1%
126.6869994 1
0.5%
126.6870623 1
0.5%
ValueCountFrequency (%)
126.927363 1
0.5%
126.927201 1
0.5%
126.9241058 1
0.5%
126.9230754 1
0.5%
126.9223983 1
0.5%
126.9210794 2
1.1%
126.9208187 1
0.5%
126.9204811 1
0.5%
126.9201808 1
0.5%
126.9195941 1
0.5%

업소연락처
Text

MISSING 

Distinct175
Distinct (%)97.2%
Missing10
Missing (%)5.3%
Memory size1.6 KiB
2024-03-15T07:57:19.824684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.1
Min length12

Characters and Unicode

Total characters2178
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

Unique170 ?
Unique (%)94.4%

Sample

1st row031-946-0063
2nd row031-953-6600
3rd row031-959-9100
4th row031-958-0702
5th row031-959-4347
ValueCountFrequency (%)
031-946-8001 2
 
1.1%
031-948-5527 2
 
1.1%
031-959-4347 2
 
1.1%
031-958-1258 2
 
1.1%
031-958-3320 2
 
1.1%
031-959-5377 1
 
0.6%
031-959-3569 1
 
0.6%
031-958-8446 1
 
0.6%
031-958-2258 1
 
0.6%
031-959-4992 1
 
0.6%
Other values (165) 165
91.7%
2024-03-15T07:57:20.989782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 360
16.5%
0 278
12.8%
9 278
12.8%
3 275
12.6%
1 246
11.3%
5 195
9.0%
4 137
 
6.3%
8 132
 
6.1%
2 117
 
5.4%
7 82
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1818
83.5%
Dash Punctuation 360
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 278
15.3%
9 278
15.3%
3 275
15.1%
1 246
13.5%
5 195
10.7%
4 137
7.5%
8 132
7.3%
2 117
6.4%
7 82
 
4.5%
6 78
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 360
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2178
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 360
16.5%
0 278
12.8%
9 278
12.8%
3 275
12.6%
1 246
11.3%
5 195
9.0%
4 137
 
6.3%
8 132
 
6.1%
2 117
 
5.4%
7 82
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 360
16.5%
0 278
12.8%
9 278
12.8%
3 275
12.6%
1 246
11.3%
5 195
9.0%
4 137
 
6.3%
8 132
 
6.1%
2 117
 
5.4%
7 82
 
3.8%

할인내용
Text

Distinct61
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T07:57:21.649907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length8
Mean length10.231579
Min length4

Characters and Unicode

Total characters1944
Distinct characters125
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)23.7%

Sample

1st row1000원 할인
2nd row1000원 할인
3rd row2000원 할인
4th row2000원 할인
5th row1000원 할인
ValueCountFrequency (%)
할인 136
31.5%
10퍼센트 71
16.4%
5퍼센트 25
 
5.8%
제공 21
 
4.9%
음료수 18
 
4.2%
1000원 11
 
2.5%
또는 9
 
2.1%
2000원 8
 
1.9%
5~10퍼센트 7
 
1.6%
음료수제공 5
 
1.2%
Other values (86) 121
28.0%
2024-03-15T07:57:22.512612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
13.7%
0 203
 
10.4%
인 164
 
8.4%
할 156
 
8.0%
트 126
 
6.5%
퍼 125
 
6.4%
센 125
 
6.4%
1 112
 
5.8%
료 58
 
3.0%
음 51
 
2.6%
Other values (115) 558
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1224
63.0%
Decimal Number 394
 
20.3%
Space Separator 266
 
13.7%
Math Symbol 40
 
2.1%
Open Punctuation 10
 
0.5%
Close Punctuation 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 164
13.4%
할 156
12.7%
트 126
10.3%
퍼 125
10.2%
센 125
10.2%
료 58
 
4.7%
음 51
 
4.2%
공 47
 
3.8%
제 41
 
3.3%
원 39
 
3.2%
Other values (102) 292
23.9%
Decimal Number
ValueCountFrequency (%)
0 203
51.5%
1 112
28.4%
5 49
 
12.4%
2 21
 
5.3%
3 6
 
1.5%
4 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 28
70.0%
~ 12
30.0%
Space Separator
ValueCountFrequency (%)
266
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1224
63.0%
Common 720
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 164
13.4%
할 156
12.7%
트 126
10.3%
퍼 125
10.2%
센 125
10.2%
료 58
 
4.7%
음 51
 
4.2%
공 47
 
3.8%
제 41
 
3.3%
원 39
 
3.2%
Other values (102) 292
23.9%
Common
ValueCountFrequency (%)
266
36.9%
0 203
28.2%
1 112
15.6%
5 49
 
6.8%
+ 28
 
3.9%
2 21
 
2.9%
~ 12
 
1.7%
( 10
 
1.4%
) 10
 
1.4%
3 6
 
0.8%
Other values (3) 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1224
63.0%
ASCII 720
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266
36.9%
0 203
28.2%
1 112
15.6%
5 49
 
6.8%
+ 28
 
3.9%
2 21
 
2.9%
~ 12
 
1.7%
( 10
 
1.4%
) 10
 
1.4%
3 6
 
0.8%
Other values (3) 3
 
0.4%
Hangul
ValueCountFrequency (%)
인 164
13.4%
할 156
12.7%
트 126
10.3%
퍼 125
10.2%
센 125
10.2%
료 58
 
4.7%
음 51
 
4.2%
공 47
 
3.8%
제 41
 
3.3%
원 39
 
3.2%
Other values (102) 292
23.9%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
경기도 파주시청
190 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 파주시청
2nd row경기도 파주시청
3rd row경기도 파주시청
4th row경기도 파주시청
5th row경기도 파주시청

Common Values

ValueCountFrequency (%)
경기도 파주시청 190
100.0%

Length

2024-03-15T07:57:23.028473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:57:23.216980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 190
50.0%
파주시청 190
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
031-940-4432
190 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-940-4432
2nd row031-940-4432
3rd row031-940-4432
4th row031-940-4432
5th row031-940-4432

Common Values

ValueCountFrequency (%)
031-940-4432 190
100.0%

Length

2024-03-15T07:57:23.407180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:57:23.677138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-940-4432 190
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-11
190 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-11
2nd row2024-01-11
3rd row2024-01-11
4th row2024-01-11
5th row2024-01-11

Common Values

ValueCountFrequency (%)
2024-01-11 190
100.0%

Length

2024-03-15T07:57:23.871438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:57:24.177126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-11 190
100.0%

Interactions

2024-03-15T07:57:04.492341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:57:04.000101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:57:04.738040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:57:04.246258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T07:57:24.362691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종지역위도경도할인내용
업종1.0000.5670.2230.1610.436
지역0.5671.0000.9250.8930.000
위도0.2230.9251.0000.7950.747
경도0.1610.8930.7951.0000.382
할인내용0.4360.0000.7470.3821.000
2024-03-15T07:57:24.591696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종지역
업종1.0000.252
지역0.2521.000
2024-03-15T07:57:24.762678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종지역
위도1.0000.5510.1110.725
경도0.5511.0000.0830.656
업종0.1110.0831.0000.252
지역0.7250.6560.2521.000

Missing values

2024-03-15T07:57:05.086862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T07:57:05.622975image/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

업종지역업소명소재지도로명주소소재지지번주소위도경도업소연락처할인내용관리기관명관리기관전화번호데이터기준일자
0목욕장업금촌지앤지스파경기도 파주시 가나무로 143경기도 파주시 금릉동 211-537.75454126.781309031-946-00631000원 할인경기도 파주시청031-940-44322024-01-11
1목욕장업문산청도훼미리랜드경기도 파주시 문산읍 문산역로 107경기도 파주시 문산읍 문산리 17-2537.855777126.786705031-953-66001000원 할인경기도 파주시청031-940-44322024-01-11
2목욕장업법원가야랜드경기도 파주시 법원읍 사임당로 674경기도 파주시 법원읍 가야리 330-1437.851249126.856737031-959-91002000원 할인경기도 파주시청031-940-44322024-01-11
3목욕장업법원대영목욕탕경기도 파주시 법원읍 술이홀로879번길 5경기도 파주시 법원읍 대능리 94-5037.84985126.872958031-958-07022000원 할인경기도 파주시청031-940-44322024-01-11
4목욕장업적성승원24시사우나경기도 파주시 적성면 칠중5길 8경기도 파주시 적성면 구읍리 645-137.95496126.921079031-959-43471000원 할인경기도 파주시청031-940-44322024-01-11
5목욕장업탄현홍삼스파참숯가마사우나경기도 파주시 탄현면 장릉로 5경기도 파주시 탄현면 갈현리 654-837.77389126.717284031-942-22885000원 할인경기도 파주시청031-940-44322024-01-11
6미용업금촌헤어그린경기도 파주시 새꽃로 208경기도 파주시 아동동 356-237.765672126.775646031-943-68252000원 할인경기도 파주시청031-940-44322024-01-11
7미용업금촌수정미용실경기도 파주시 금정4길 16경기도 파주시 금촌동 786-1137.756604126.777215<NA>컷트 7000원 할인경기도 파주시청031-940-44322024-01-11
8미용업금촌이브 헤어샵경기도 파주시 금정14길 35경기도 파주시 아동동 334-637.760606126.776513031-941-12352000원 할인경기도 파주시청031-940-44322024-01-11
9미용업문산씨케이미용실(CK)경기도 파주시 문산읍 당동2로 11-5경기도 파주시 문산읍 당동리 889-237.867442126.784563070-4240-11103000원 할인경기도 파주시청031-940-44322024-01-11
업종지역업소명소재지도로명주소소재지지번주소위도경도업소연락처할인내용관리기관명관리기관전화번호데이터기준일자
180일반음식점파평한우리매운탕경기도 파주시 파평면 장승배기로 173-8경기도 파주시 파평면 율곡리 277-337.88081126.813865031-945-223810퍼센트 할인경기도 파주시청031-940-44322024-01-11
181일반음식점파평앵무새카페(구 더 솥)경기도 파주시 파평면 파평산로363번길 32-9경기도 파주시 파평면 두포리 121-237.892222126.841084031-952-2002음료 10퍼센트 할인경기도 파주시청031-940-44322024-01-11
182일반음식점파평샘내 손두부경기도 파주시 파평면 청송로 551-7경기도 파주시 파평면 덕천리 408-337.93838126.870186031-958-422210퍼센트 할인경기도 파주시청031-940-44322024-01-11
183일반음식점+휴게음식점교하아레볼경기도 파주시 소라지로 309-12경기도 파주시 송촌동 647-137.749538126.688645031-949-567810퍼센트 할인경기도 파주시청031-940-44322024-01-11
184휴게음식점광탄카페개러지 파주광탄점경기도 파주시 광탄면 부흥로 30경기도 파주시 광탄면 방축리 386-4337.807861126.8524510507-1353-459010퍼센트 할인경기도 파주시청031-940-44322024-01-11
185휴게음식점광탄에코앤그린(카페다온)경기도 파주시 광탄면 혜음로 495경기도 파주시 광탄면 용미리 327-337.736491126.88025070-8885-1174음료 10퍼센트 할인경기도 파주시청031-940-44322024-01-11
186휴게음식점금촌커피에반하다(금촌역점)경기도 파주시 새꽃로 200경기도 파주시 금촌동 329-22337.765301126.77479031-945-4145음료구매시 마카롱제공경기도 파주시청031-940-44322024-01-11
187휴게음식점운정기억되는날경기도 파주시 동패로 63번길 48경기도 파주시 동패동 190637.710995126.7374020507-1336-79645퍼센트 할인경기도 파주시청031-940-44322024-01-11
188휴게음식점운정젤라또로플경기도 파주시 미래로 369-27경기도 파주시 동패동 1761-137.711498126.7453160507-0289-341910퍼센트 할인경기도 파주시청031-940-44322024-01-11
189휴게음식점적성애플트리경기도 파주시 적성면 국사로 293경기도 파주시 적성면 자장리 147-137.960427126.869926<NA>10퍼센트 할인경기도 파주시청031-940-44322024-01-11