Overview

Dataset statistics

Number of variables9
Number of observations402
Missing cells92
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.6 KiB
Average record size in memory75.3 B

Variable types

Numeric3
Text5
Categorical1

Dataset

Description경기도 양평군의 담배소매인으로 지정한 현황(담배소매인 업소명, 담배소매인 업소 주소, 담배소매인 업소 전화번호) 데이터 정보입니다
Author경기도 양평군
URLhttps://www.data.go.kr/data/15021402/fileData.do

Alerts

데이터기준일 has constant value ""Constant
우편번호 has 92 (22.9%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:53:49.051994
Analysis finished2023-12-13 00:53:50.336674
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct402
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201.5
Minimum1
Maximum402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-13T09:53:50.391020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.05
Q1101.25
median201.5
Q3301.75
95-th percentile381.95
Maximum402
Range401
Interquartile range (IQR)200.5

Descriptive statistics

Standard deviation116.19165
Coefficient of variation (CV)0.57663351
Kurtosis-1.2
Mean201.5
Median Absolute Deviation (MAD)100.5
Skewness0
Sum81003
Variance13500.5
MonotonicityStrictly increasing
2023-12-13T09:53:50.495313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
266 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
274 1
 
0.2%
273 1
 
0.2%
272 1
 
0.2%
271 1
 
0.2%
270 1
 
0.2%
269 1
 
0.2%
Other values (392) 392
97.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
402 1
0.2%
401 1
0.2%
400 1
0.2%
399 1
0.2%
398 1
0.2%
397 1
0.2%
396 1
0.2%
395 1
0.2%
394 1
0.2%
393 1
0.2%

업소명
Text

Distinct401
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-13T09:53:50.659357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length8.9253731
Min length2

Characters and Unicode

Total characters3588
Distinct characters375
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique400 ?
Unique (%)99.5%

Sample

1st row세븐일레븐 양평로드점
2nd row이마트24 용문자이언트점
3rd row씨유 동양평IC점
4th row이마트24 SMART SN독학기숙학원점
5th row(주)해룡
ValueCountFrequency (%)
세븐일레븐 30
 
5.1%
이마트24 24
 
4.0%
씨유 22
 
3.7%
국군복지단 16
 
2.7%
지에스(gs)25 8
 
1.3%
gs25 7
 
1.2%
지에스25 7
 
1.2%
주)코리아세븐 6
 
1.0%
주식회사 5
 
0.8%
양평 4
 
0.7%
Other values (438) 465
78.3%
2023-12-13T09:53:50.924460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
 
5.4%
점 183
 
5.1%
양 177
 
4.9%
평 161
 
4.5%
지 83
 
2.3%
븐 82
 
2.3%
마 76
 
2.1%
2 70
 
2.0%
트 67
 
1.9%
( 66
 
1.8%
Other values (365) 2431
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2971
82.8%
Space Separator 192
 
5.4%
Decimal Number 172
 
4.8%
Uppercase Letter 87
 
2.4%
Open Punctuation 66
 
1.8%
Close Punctuation 66
 
1.8%
Lowercase Letter 30
 
0.8%
Other Punctuation 2
 
0.1%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 183
 
6.2%
양 177
 
6.0%
평 161
 
5.4%
지 83
 
2.8%
븐 82
 
2.8%
마 76
 
2.6%
트 67
 
2.3%
유 56
 
1.9%
리 56
 
1.9%
세 47
 
1.6%
Other values (319) 1983
66.7%
Uppercase Letter
ValueCountFrequency (%)
S 24
27.6%
G 22
25.3%
C 15
17.2%
U 7
 
8.0%
I 3
 
3.4%
E 3
 
3.4%
A 2
 
2.3%
N 2
 
2.3%
R 2
 
2.3%
D 2
 
2.3%
Other values (5) 5
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
u 4
13.3%
c 4
13.3%
e 3
10.0%
i 2
 
6.7%
f 2
 
6.7%
g 2
 
6.7%
t 2
 
6.7%
a 2
 
6.7%
o 2
 
6.7%
r 2
 
6.7%
Other values (5) 5
16.7%
Decimal Number
ValueCountFrequency (%)
2 70
40.7%
5 41
23.8%
4 26
 
15.1%
1 16
 
9.3%
0 6
 
3.5%
6 4
 
2.3%
3 3
 
1.7%
9 2
 
1.2%
7 2
 
1.2%
8 2
 
1.2%
Other Symbol
ValueCountFrequency (%)
㈜ 1
50.0%
♡ 1
50.0%
Space Separator
ValueCountFrequency (%)
192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2972
82.8%
Common 499
 
13.9%
Latin 117
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 183
 
6.2%
양 177
 
6.0%
평 161
 
5.4%
지 83
 
2.8%
븐 82
 
2.8%
마 76
 
2.6%
트 67
 
2.3%
유 56
 
1.9%
리 56
 
1.9%
세 47
 
1.6%
Other values (320) 1984
66.8%
Latin
ValueCountFrequency (%)
S 24
20.5%
G 22
18.8%
C 15
12.8%
U 7
 
6.0%
u 4
 
3.4%
c 4
 
3.4%
I 3
 
2.6%
e 3
 
2.6%
E 3
 
2.6%
A 2
 
1.7%
Other values (20) 30
25.6%
Common
ValueCountFrequency (%)
192
38.5%
2 70
 
14.0%
( 66
 
13.2%
) 66
 
13.2%
5 41
 
8.2%
4 26
 
5.2%
1 16
 
3.2%
0 6
 
1.2%
6 4
 
0.8%
3 3
 
0.6%
Other values (5) 9
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2971
82.8%
ASCII 615
 
17.1%
None 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
31.2%
2 70
 
11.4%
( 66
 
10.7%
) 66
 
10.7%
5 41
 
6.7%
4 26
 
4.2%
S 24
 
3.9%
G 22
 
3.6%
1 16
 
2.6%
C 15
 
2.4%
Other values (34) 77
12.5%
Hangul
ValueCountFrequency (%)
점 183
 
6.2%
양 177
 
6.0%
평 161
 
5.4%
지 83
 
2.8%
븐 82
 
2.8%
마 76
 
2.6%
트 67
 
2.3%
유 56
 
1.9%
리 56
 
1.9%
세 47
 
1.6%
Other values (319) 1983
66.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
♡ 1
100.0%

도로명주소
Text

Distinct388
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-13T09:53:51.179666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length21.109453
Min length1

Characters and Unicode

Total characters8486
Distinct characters232
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

Unique383 ?
Unique (%)95.3%

Sample

1st row경기도 양평군 양서면 경강로 747
2nd row경기도 양평군 용문면 용문로 433. 1층
3rd row경기도 양평군 양동면 양동로 1883
4th row경기도 양평군 용문면 용문로164번길 42. SN독학기숙학원
5th row경기도 양평군 단월면 섬이길 399-1
ValueCountFrequency (%)
경기도 391
18.8%
양평군 391
18.8%
양평읍 98
 
4.7%
용문면 64
 
3.1%
1층 46
 
2.2%
양서면 45
 
2.2%
옥천면 33
 
1.6%
서종면 33
 
1.6%
경강로 33
 
1.6%
강남로 21
 
1.0%
Other values (504) 925
44.5%
2023-12-13T09:53:51.533998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1712
20.2%
양 612
 
7.2%
평 539
 
6.4%
경 424
 
5.0%
군 411
 
4.8%
도 393
 
4.6%
기 392
 
4.6%
1 349
 
4.1%
면 293
 
3.5%
로 262
 
3.1%
Other values (222) 3099
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5298
62.4%
Space Separator 1712
 
20.2%
Decimal Number 1289
 
15.2%
Other Punctuation 97
 
1.1%
Dash Punctuation 49
 
0.6%
Open Punctuation 17
 
0.2%
Close Punctuation 17
 
0.2%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 612
 
11.6%
평 539
 
10.2%
경 424
 
8.0%
군 411
 
7.8%
도 393
 
7.4%
기 392
 
7.4%
면 293
 
5.5%
로 262
 
4.9%
길 166
 
3.1%
문 118
 
2.2%
Other values (203) 1688
31.9%
Decimal Number
ValueCountFrequency (%)
1 349
27.1%
2 162
12.6%
3 129
 
10.0%
4 110
 
8.5%
6 105
 
8.1%
0 94
 
7.3%
5 92
 
7.1%
7 90
 
7.0%
8 80
 
6.2%
9 78
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
42.9%
A 2
28.6%
N 1
 
14.3%
S 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1712
100.0%
Other Punctuation
ValueCountFrequency (%)
. 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5298
62.4%
Common 3181
37.5%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 612
 
11.6%
평 539
 
10.2%
경 424
 
8.0%
군 411
 
7.8%
도 393
 
7.4%
기 392
 
7.4%
면 293
 
5.5%
로 262
 
4.9%
길 166
 
3.1%
문 118
 
2.2%
Other values (203) 1688
31.9%
Common
ValueCountFrequency (%)
1712
53.8%
1 349
 
11.0%
2 162
 
5.1%
3 129
 
4.1%
4 110
 
3.5%
6 105
 
3.3%
. 97
 
3.0%
0 94
 
3.0%
5 92
 
2.9%
7 90
 
2.8%
Other values (5) 241
 
7.6%
Latin
ValueCountFrequency (%)
B 3
42.9%
A 2
28.6%
N 1
 
14.3%
S 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5298
62.4%
ASCII 3188
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1712
53.7%
1 349
 
10.9%
2 162
 
5.1%
3 129
 
4.0%
4 110
 
3.5%
6 105
 
3.3%
. 97
 
3.0%
0 94
 
2.9%
5 92
 
2.9%
7 90
 
2.8%
Other values (9) 248
 
7.8%
Hangul
ValueCountFrequency (%)
양 612
 
11.6%
평 539
 
10.2%
경 424
 
8.0%
군 411
 
7.8%
도 393
 
7.4%
기 392
 
7.4%
면 293
 
5.5%
로 262
 
4.9%
길 166
 
3.1%
문 118
 
2.2%
Other values (203) 1688
31.9%

지번주소
Text

Distinct401
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-13T09:53:51.750237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length21.380597
Min length18

Characters and Unicode

Total characters8595
Distinct characters169
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

Unique400 ?
Unique (%)99.5%

Sample

1st row경기도 양평군 양서면 도곡리 470-3
2nd row경기도 양평군 용문면 마룡리 658-2 자이언트상가
3rd row경기도 양평군 양동면 쌍학리 98-3
4th row경기도 양평군 용문면 삼성리 304 SN독학기숙학원
5th row경기도 양평군 단월면 석산리 590-1
ValueCountFrequency (%)
경기도 402
19.6%
양평군 402
19.6%
양평읍 102
 
5.0%
용문면 66
 
3.2%
양서면 46
 
2.2%
양근리 38
 
1.9%
옥천면 35
 
1.7%
다문리 35
 
1.7%
서종면 33
 
1.6%
공흥리 22
 
1.1%
Other values (514) 868
42.4%
2023-12-13T09:53:52.070955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1705
19.8%
양 622
 
7.2%
평 542
 
6.3%
군 420
 
4.9%
도 410
 
4.8%
리 407
 
4.7%
기 404
 
4.7%
경 402
 
4.7%
- 316
 
3.7%
면 300
 
3.5%
Other values (159) 3067
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5003
58.2%
Space Separator 1705
 
19.8%
Decimal Number 1560
 
18.2%
Dash Punctuation 316
 
3.7%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 622
12.4%
평 542
10.8%
군 420
 
8.4%
도 410
 
8.2%
리 407
 
8.1%
기 404
 
8.1%
경 402
 
8.0%
면 300
 
6.0%
문 118
 
2.4%
읍 102
 
2.0%
Other values (142) 1276
25.5%
Decimal Number
ValueCountFrequency (%)
1 248
15.9%
3 198
12.7%
2 195
12.5%
4 163
10.4%
5 162
10.4%
6 131
8.4%
8 130
8.3%
7 128
8.2%
0 106
6.8%
9 99
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
N 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
1705
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 316
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5003
58.2%
Common 3589
41.8%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 622
12.4%
평 542
10.8%
군 420
 
8.4%
도 410
 
8.2%
리 407
 
8.1%
기 404
 
8.1%
경 402
 
8.0%
면 300
 
6.0%
문 118
 
2.4%
읍 102
 
2.0%
Other values (142) 1276
25.5%
Common
ValueCountFrequency (%)
1705
47.5%
- 316
 
8.8%
1 248
 
6.9%
3 198
 
5.5%
2 195
 
5.4%
4 163
 
4.5%
5 162
 
4.5%
6 131
 
3.7%
8 130
 
3.6%
7 128
 
3.6%
Other values (4) 213
 
5.9%
Latin
ValueCountFrequency (%)
S 1
33.3%
N 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5003
58.2%
ASCII 3592
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1705
47.5%
- 316
 
8.8%
1 248
 
6.9%
3 198
 
5.5%
2 195
 
5.4%
4 163
 
4.5%
5 162
 
4.5%
6 131
 
3.6%
8 130
 
3.6%
7 128
 
3.6%
Other values (7) 216
 
6.0%
Hangul
ValueCountFrequency (%)
양 622
12.4%
평 542
10.8%
군 420
 
8.4%
도 410
 
8.2%
리 407
 
8.1%
기 404
 
8.1%
경 402
 
8.0%
면 300
 
6.0%
문 118
 
2.4%
읍 102
 
2.0%
Other values (142) 1276
25.5%

우편번호
Text

MISSING 

Distinct98
Distinct (%)31.6%
Missing92
Missing (%)22.9%
Memory size3.3 KiB
2023-12-13T09:53:52.285031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2903226
Min length5

Characters and Unicode

Total characters1640
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

Unique28 ?
Unique (%)9.0%

Sample

1st row12583
2nd row12515
3rd row12539
4th row12518
5th row12525
ValueCountFrequency (%)
12507 13
 
4.2%
12546 8
 
2.6%
12523 8
 
2.6%
12571 8
 
2.6%
12585 7
 
2.3%
12502 6
 
1.9%
12500 6
 
1.9%
12572 6
 
1.9%
12584 6
 
1.9%
12562 6
 
1.9%
Other values (88) 236
76.1%
2023-12-13T09:53:52.655978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 346
21.1%
1 334
20.4%
5 330
20.1%
4 110
 
6.7%
6 110
 
6.7%
0 102
 
6.2%
7 94
 
5.7%
8 92
 
5.6%
3 57
 
3.5%
- 45
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1595
97.3%
Dash Punctuation 45
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 346
21.7%
1 334
20.9%
5 330
20.7%
4 110
 
6.9%
6 110
 
6.9%
0 102
 
6.4%
7 94
 
5.9%
8 92
 
5.8%
3 57
 
3.6%
9 20
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 346
21.1%
1 334
20.4%
5 330
20.1%
4 110
 
6.7%
6 110
 
6.7%
0 102
 
6.2%
7 94
 
5.7%
8 92
 
5.6%
3 57
 
3.5%
- 45
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 346
21.1%
1 334
20.4%
5 330
20.1%
4 110
 
6.7%
6 110
 
6.7%
0 102
 
6.2%
7 94
 
5.7%
8 92
 
5.6%
3 57
 
3.5%
- 45
 
2.7%

위도
Real number (ℝ)

Distinct399
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.508853
Minimum37.394065
Maximum37.64527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-13T09:53:52.771194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.394065
5-th percentile37.426079
Q137.485064
median37.496262
Q337.531096
95-th percentile37.609051
Maximum37.64527
Range0.25120445
Interquartile range (IQR)0.046032058

Descriptive statistics

Standard deviation0.049345218
Coefficient of variation (CV)0.0013155619
Kurtosis0.8763356
Mean37.508853
Median Absolute Deviation (MAD)0.01817855
Skewness0.65672092
Sum15078.559
Variance0.0024349506
MonotonicityNot monotonic
2023-12-13T09:53:52.904198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.52052917 2
 
0.5%
37.6206629 2
 
0.5%
37.46469309 2
 
0.5%
37.51797719 1
 
0.2%
37.49123758 1
 
0.2%
37.51430324 1
 
0.2%
37.47483663 1
 
0.2%
37.41696103 1
 
0.2%
37.48646026 1
 
0.2%
37.47655805 1
 
0.2%
Other values (389) 389
96.8%
ValueCountFrequency (%)
37.39406519 1
0.2%
37.39551881 1
0.2%
37.3960841 1
0.2%
37.39839237 1
0.2%
37.40030974 1
0.2%
37.40450437 1
0.2%
37.40528473 1
0.2%
37.4120185 1
0.2%
37.4133797 1
0.2%
37.41386598 1
0.2%
ValueCountFrequency (%)
37.64526964 1
0.2%
37.64514078 1
0.2%
37.64438243 1
0.2%
37.64347574 1
0.2%
37.64121102 1
0.2%
37.64059405 1
0.2%
37.64047598 1
0.2%
37.63942216 1
0.2%
37.63915207 1
0.2%
37.63913548 1
0.2%

경도
Real number (ℝ)

Distinct399
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.51631
Minimum127.31668
Maximum127.79968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-13T09:53:53.012786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.31668
5-th percentile127.34906
Q1127.45285
median127.4993
Q3127.59392
95-th percentile127.72261
Maximum127.79968
Range0.4829955
Interquartile range (IQR)0.1410694

Descriptive statistics

Standard deviation0.10769153
Coefficient of variation (CV)0.00084453142
Kurtosis-0.27846258
Mean127.51631
Median Absolute Deviation (MAD)0.08478485
Skewness0.32131958
Sum51261.557
Variance0.011597466
MonotonicityNot monotonic
2023-12-13T09:53:53.121233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4645899 2
 
0.5%
127.4484682 2
 
0.5%
127.5113586 2
 
0.5%
127.3775805 1
 
0.2%
127.4980796 1
 
0.2%
127.6046437 1
 
0.2%
127.6388259 1
 
0.2%
127.7562125 1
 
0.2%
127.5915032 1
 
0.2%
127.7004377 1
 
0.2%
Other values (389) 389
96.8%
ValueCountFrequency (%)
127.3166849 1
0.2%
127.3169453 1
0.2%
127.3188747 1
0.2%
127.3188902 1
0.2%
127.3190117 1
0.2%
127.3196041 1
0.2%
127.3201086 1
0.2%
127.3205173 1
0.2%
127.3205362 1
0.2%
127.3210003 1
0.2%
ValueCountFrequency (%)
127.7996804 1
0.2%
127.7799134 1
0.2%
127.7766 1
0.2%
127.7752044 1
0.2%
127.7633818 1
0.2%
127.7562125 1
0.2%
127.7541384 1
0.2%
127.7541325 1
0.2%
127.7540564 1
0.2%
127.7540256 1
0.2%

업소전화번호
Text

Distinct115
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-13T09:53:53.356705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length6
Mean length7.7910448
Min length6

Characters and Unicode

Total characters3132
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)27.1%

Sample

1st row데이터미집계
2nd row데이터미집계
3rd row데이터미집계
4th row데이터미집계
5th row데이터미집계
ValueCountFrequency (%)
데이터미집계 282
70.1%
033-254-7095 3
 
0.7%
031-773-3153 2
 
0.5%
02-535-6103 2
 
0.5%
031-773-9814 2
 
0.5%
070-8883-7639 2
 
0.5%
031-773-6075 1
 
0.2%
031-772-2528 1
 
0.2%
031-773-9021 1
 
0.2%
031-772-0255 1
 
0.2%
Other values (105) 105
 
26.1%
2023-12-13T09:53:53.728183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
데 282
9.0%
이 282
9.0%
터 282
9.0%
미 282
9.0%
집 282
9.0%
계 282
9.0%
7 275
8.8%
- 240
7.7%
3 203
 
6.5%
1 193
 
6.2%
Other values (7) 529
16.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1692
54.0%
Decimal Number 1200
38.3%
Dash Punctuation 240
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 275
22.9%
3 203
16.9%
1 193
16.1%
0 177
14.8%
2 80
 
6.7%
5 70
 
5.8%
4 62
 
5.2%
8 56
 
4.7%
6 51
 
4.2%
9 33
 
2.8%
Other Letter
ValueCountFrequency (%)
데 282
16.7%
이 282
16.7%
터 282
16.7%
미 282
16.7%
집 282
16.7%
계 282
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1692
54.0%
Common 1440
46.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 275
19.1%
- 240
16.7%
3 203
14.1%
1 193
13.4%
0 177
12.3%
2 80
 
5.6%
5 70
 
4.9%
4 62
 
4.3%
8 56
 
3.9%
6 51
 
3.5%
Hangul
ValueCountFrequency (%)
데 282
16.7%
이 282
16.7%
터 282
16.7%
미 282
16.7%
집 282
16.7%
계 282
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1692
54.0%
ASCII 1440
46.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
데 282
16.7%
이 282
16.7%
터 282
16.7%
미 282
16.7%
집 282
16.7%
계 282
16.7%
ASCII
ValueCountFrequency (%)
7 275
19.1%
- 240
16.7%
3 203
14.1%
1 193
13.4%
0 177
12.3%
2 80
 
5.6%
5 70
 
4.9%
4 62
 
4.3%
8 56
 
3.9%
6 51
 
3.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-02-14
402 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-14
2nd row2023-02-14
3rd row2023-02-14
4th row2023-02-14
5th row2023-02-14

Common Values

ValueCountFrequency (%)
2023-02-14 402
100.0%

Length

2023-12-13T09:53:53.832606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:53:53.899846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-14 402
100.0%

Interactions

2023-12-13T09:53:49.975986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:53:49.567164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:53:49.779483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:53:50.048682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:53:49.643429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:53:49.850334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:53:50.112219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:53:49.711644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:53:49.913885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:53:53.942799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호위도경도
번호1.0000.4640.2930.000
우편번호0.4641.0000.9730.989
위도0.2930.9731.0000.811
경도0.0000.9890.8111.000
2023-12-13T09:53:54.024763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호위도경도
번호1.000-0.0720.105
위도-0.0721.000-0.438
경도0.105-0.4381.000

Missing values

2023-12-13T09:53:50.199876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:53:50.297388image/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

번호업소명도로명주소지번주소우편번호위도경도업소전화번호데이터기준일
01세븐일레븐 양평로드점경기도 양평군 양서면 경강로 747경기도 양평군 양서면 도곡리 470-31258337.517977127.37758데이터미집계2023-02-14
12이마트24 용문자이언트점경기도 양평군 용문면 용문로 433. 1층경기도 양평군 용문면 마룡리 658-2 자이언트상가1251537.489685127.598983데이터미집계2023-02-14
23씨유 동양평IC점경기도 양평군 양동면 양동로 1883경기도 양평군 양동면 쌍학리 98-31253937.412019127.754026데이터미집계2023-02-14
34이마트24 SMART SN독학기숙학원점경기도 양평군 용문면 용문로164번길 42. SN독학기숙학원경기도 양평군 용문면 삼성리 304 SN독학기숙학원1251837.479008127.576132데이터미집계2023-02-14
45(주)해룡경기도 양평군 단월면 섬이길 399-1경기도 양평군 단월면 석산리 590-11252537.626281127.57129데이터미집계2023-02-14
56(주)코리아세븐 양평남한강점경기도 양평군 강하면 강남로 339경기도 양평군 강하면 전수리 544-51257537.502995127.4225731577-071112023-02-14
67용천슈퍼경기도 양평군 옥천면 용천로 146경기도 양평군 옥천면 용천리 259-61250637.535444127.489626데이터미집계2023-02-14
78회현마트경기도 양평군 양평읍 샘뜰길 75경기도 양평군 양평읍 회현리 9-511256337.467503127.526636데이터미집계2023-02-14
89씨유 뉴양평문호점경기도 양평군 서종면 중미산로 6. 벧엘빌딩경기도 양평군 서종면 문호리 395 벧엘빌딩1250337.603653127.352848데이터미집계2023-02-14
910용문힐링캠프경기도 양평군 용문면 동촌길111번길 35. 36. 37경기도 양평군 용문면 화전리 476-11252437.460602127.619508데이터미집계2023-02-14
번호업소명도로명주소지번주소우편번호위도경도업소전화번호데이터기준일
392393석산리가게경기도 양평군 단월면 석산로 1513-9경기도 양평군 단월면 석산리 124<NA>37.64527127.6115031-771-76012023-02-14
393394신화상회경기도 양평군 강상면 강상로353번길경기도 양평군 강상면 신화리 166<NA>37.469253127.475729031-772-10322023-02-14
394395청계상회경기도 양평군 양서면 청계리 116-1경기도 양평군 양서면 청계리 116<NA>37.530709127.414688데이터미집계2023-02-14
395396국수2리상회경기도 양평군 양셔면 국수역길 43경기도 양평군 양서면 국수리 285-5<NA>37.515387127.399434데이터미집계2023-02-14
396397나루터가경기도 양평군 양서면 두물머리길 101경기도 양평군 양서면 양수리 770-71258537.53541127.316685데이터미집계2023-02-14
397398군분상회(활거리)경기도 양평군 양동면 양동로경기도 양평군 양동면 쌍학리 420<NA>37.405285127.748501데이터미집계2023-02-14
398399국군복지단 춘천지원본부(312관제대)경기도 양평군 옥천면 용천로경기도 양평군 옥천면 용천리 산25-1<NA>37.560527127.543991데이터미집계2023-02-14
399400지평농협하나로마트경기도 양평군 지평면 지평로 408-1경기도 양평군 지평면 지평리 568-91254137.474576127.636046데이터미집계2023-02-14
400401마을구판장경기도 양평군 강상면 학곡길 9경기도 양평군 강상면 송학리 258-21257237.477946127.473068데이터미집계2023-02-14
401402GS25 용문역점경기도 양평군 용문면 용문역길 17경기도 양평군 용문면 다문리 305-11<NA>37.482929127.594304데이터미집계2023-02-14