Overview

Dataset statistics

Number of variables27
Number of observations3568
Missing cells4270
Missing cells (%)4.4%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory773.7 KiB
Average record size in memory222.0 B

Variable types

Text7
Categorical5
Numeric6
Boolean8
DateTime1

Dataset

Description부산관광공사_부산지역관광쇼핑기념품분야업체_20230918
Author부산관광공사
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15096732

Alerts

카테고리명 has constant value ""Constant
시도명 has constant value ""Constant
Dataset has 2 (0.1%) duplicate rowsDuplicates
리명 is highly imbalanced (88.9%)Imbalance
화장실타입 is highly imbalanced (69.1%)Imbalance
수유실유무 is highly imbalanced (89.1%)Imbalance
물품보관함유무 is highly imbalanced (87.0%)Imbalance
유아거치대유무 is highly imbalanced (92.1%)Imbalance
점자유도로유무 is highly imbalanced (90.0%)Imbalance
도로명코드 has 57 (1.6%) missing valuesMissing
전화번호 has 997 (27.9%) missing valuesMissing
홈페이지주소 has 387 (10.8%) missing valuesMissing
주차가능여부 has 396 (11.1%) missing valuesMissing
화장실유무 has 395 (11.1%) missing valuesMissing
수유실유무 has 396 (11.1%) missing valuesMissing
물품보관함유무 has 396 (11.1%) missing valuesMissing
유아거치대유무 has 396 (11.1%) missing valuesMissing
휠체어이동가능여부 has 395 (11.1%) missing valuesMissing
점자유도로유무 has 395 (11.1%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:19:13.030749
Analysis finished2023-12-10 16:19:13.857089
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct545
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size28.0 KiB
2023-12-11T01:19:14.001137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length4.2393498
Min length2

Characters and Unicode

Total characters15126
Distinct characters374
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique478 ?
Unique (%)13.4%

Sample

1st row세븐일레븐
2nd rowOK마트
3rd rowGS25
4th rowCU
5th row이마트24
ValueCountFrequency (%)
cu 899
24.6%
gs25 828
22.6%
세븐일레븐 584
16.0%
이마트24 352
 
9.6%
미니스톱 115
 
3.1%
올리브영 79
 
2.2%
씨스페이스 24
 
0.7%
홈플러스익스프레스 23
 
0.6%
gs더프레시 21
 
0.6%
하프타임 14
 
0.4%
Other values (554) 722
19.7%
2023-12-11T01:19:14.371506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1235
 
8.2%
븐 1170
 
7.7%
C 901
 
6.0%
U 900
 
6.0%
5 868
 
5.7%
G 855
 
5.7%
S 853
 
5.6%
레 637
 
4.2%
일 603
 
4.0%
세 598
 
4.0%
Other values (364) 6506
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8994
59.5%
Uppercase Letter 3558
 
23.5%
Decimal Number 2476
 
16.4%
Space Separator 93
 
0.6%
Lowercase Letter 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
븐 1170
 
13.0%
레 637
 
7.1%
일 603
 
6.7%
세 598
 
6.6%
마 448
 
5.0%
트 448
 
5.0%
이 446
 
5.0%
스 314
 
3.5%
시 258
 
2.9%
장 239
 
2.7%
Other values (336) 3833
42.6%
Uppercase Letter
ValueCountFrequency (%)
C 901
25.3%
U 900
25.3%
G 855
24.0%
S 853
24.0%
A 7
 
0.2%
O 6
 
0.2%
N 5
 
0.1%
K 5
 
0.1%
I 5
 
0.1%
T 5
 
0.1%
Other values (8) 16
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 1235
49.9%
5 868
35.1%
4 362
 
14.6%
3 5
 
0.2%
1 4
 
0.2%
6 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
u 2
50.0%
Space Separator
ValueCountFrequency (%)
93
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8994
59.5%
Latin 3562
 
23.5%
Common 2570
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
븐 1170
 
13.0%
레 637
 
7.1%
일 603
 
6.7%
세 598
 
6.6%
마 448
 
5.0%
트 448
 
5.0%
이 446
 
5.0%
스 314
 
3.5%
시 258
 
2.9%
장 239
 
2.7%
Other values (336) 3833
42.6%
Latin
ValueCountFrequency (%)
C 901
25.3%
U 900
25.3%
G 855
24.0%
S 853
23.9%
A 7
 
0.2%
O 6
 
0.2%
N 5
 
0.1%
K 5
 
0.1%
I 5
 
0.1%
T 5
 
0.1%
Other values (10) 20
 
0.6%
Common
ValueCountFrequency (%)
2 1235
48.1%
5 868
33.8%
4 362
 
14.1%
93
 
3.6%
3 5
 
0.2%
1 4
 
0.2%
6 2
 
0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8994
59.5%
ASCII 6132
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1235
20.1%
C 901
14.7%
U 900
14.7%
5 868
14.2%
G 855
13.9%
S 853
13.9%
4 362
 
5.9%
93
 
1.5%
A 7
 
0.1%
O 6
 
0.1%
Other values (18) 52
 
0.8%
Hangul
ValueCountFrequency (%)
븐 1170
 
13.0%
레 637
 
7.1%
일 603
 
6.7%
세 598
 
6.6%
마 448
 
5.0%
트 448
 
5.0%
이 446
 
5.0%
스 314
 
3.5%
시 258
 
2.9%
장 239
 
2.7%
Other values (336) 3833
42.6%

카테고리명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.0 KiB
쇼핑/생활
3568 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row쇼핑/생활
2nd row쇼핑/생활
3rd row쇼핑/생활
4th row쇼핑/생활
5th row쇼핑/생활

Common Values

ValueCountFrequency (%)
쇼핑/생활 3568
100.0%

Length

2023-12-11T01:19:14.488876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:19:14.571295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쇼핑/생활 3568
100.0%

필지고유번호
Real number (ℝ)

Distinct2865
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6360112 × 1018
Minimum2.6110101 × 1018
Maximum2.671033 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.5 KiB
2023-12-11T01:19:14.685820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6110101 × 1018
5-th percentile2.6140115 × 1018
Q12.6260101 × 1018
median2.6350105 × 1018
Q32.6440117 × 1018
95-th percentile2.671025 × 1018
Maximum2.671033 × 1018
Range6.002293 × 1016
Interquartile range (IQR)1.80016 × 1016

Descriptive statistics

Standard deviation1.4221669 × 1016
Coefficient of variation (CV)0.0053951474
Kurtosis0.1468336
Mean2.6360112 × 1018
Median Absolute Deviation (MAD)9.0011 × 1015
Skewness0.55015951
Sum-2.5513394 × 1018
Variance2.0225587 × 1032
MonotonicityNot monotonic
2023-12-11T01:19:14.858708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2641010800100400000 13
 
0.4%
2617010400108300000 12
 
0.3%
2635010300112910000 10
 
0.3%
2650010300101810000 10
 
0.3%
2611011000100200000 8
 
0.2%
2623011000104650000 8
 
0.2%
2623010300105730000 7
 
0.2%
2635010100102500000 7
 
0.2%
2671025032105240000 7
 
0.2%
2623010700102710000 6
 
0.2%
Other values (2855) 3480
97.5%
ValueCountFrequency (%)
2611010100100020000 1
< 0.1%
2611010100100580000 1
< 0.1%
2611010100100740000 1
< 0.1%
2611010100100920000 1
< 0.1%
2611010100101420000 1
< 0.1%
2611010100102920000 1
< 0.1%
2611010100102930000 1
< 0.1%
2611010100106010000 1
< 0.1%
2611010100106710000 1
< 0.1%
2611010100107430000 1
< 0.1%
ValueCountFrequency (%)
2671033030105020000 1
< 0.1%
2671033029106680000 1
< 0.1%
2671033029106580000 1
< 0.1%
2671033027103300000 1
< 0.1%
2671033024105860000 1
< 0.1%
2671033024105770000 1
< 0.1%
2671033022102940000 1
< 0.1%
2671031031101000000 1
< 0.1%
2671031027100640000 1
< 0.1%
2671031026100560000 1
< 0.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.0 KiB
부산광역시
3568 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 3568
100.0%

Length

2023-12-11T01:19:14.981050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:19:15.091831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 3568
100.0%

시군구명
Categorical

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size28.0 KiB
부산진구
443 
해운대구
420 
사하구
267 
금정구
259 
남구
234 
Other values (11)
1945 

Length

Max length4
Median length3
Mean length3.0184978
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산진구 443
12.4%
해운대구 420
11.8%
사하구 267
 
7.5%
금정구 259
 
7.3%
남구 234
 
6.6%
동래구 232
 
6.5%
사상구 229
 
6.4%
수영구 216
 
6.1%
기장군 210
 
5.9%
강서구 208
 
5.8%
Other values (6) 850
23.8%

Length

2023-12-11T01:19:15.200262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산진구 443
12.4%
해운대구 420
11.8%
사하구 267
 
7.5%
금정구 259
 
7.3%
남구 234
 
6.6%
동래구 232
 
6.5%
사상구 229
 
6.4%
수영구 216
 
6.1%
기장군 210
 
5.9%
강서구 208
 
5.8%
Other values (6) 850
23.8%

읍면동명
Text

Distinct173
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size28.0 KiB
2023-12-11T01:19:15.512365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.069787
Min length2

Characters and Unicode

Total characters10953
Distinct characters118
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)0.7%

Sample

1st row강동동
2nd row강동동
3rd row강동동
4th row강동동
5th row강동동
ValueCountFrequency (%)
연산동 163
 
4.6%
우동 125
 
3.5%
대연동 119
 
3.3%
부전동 111
 
3.1%
광안동 90
 
2.5%
온천동 86
 
2.4%
장전동 86
 
2.4%
기장읍 82
 
2.3%
좌동 75
 
2.1%
명지동 75
 
2.1%
Other values (163) 2556
71.6%
2023-12-11T01:19:16.046700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 3426
31.3%
전 294
 
2.7%
연 291
 
2.7%
가 266
 
2.4%
대 265
 
2.4%
장 260
 
2.4%
천 229
 
2.1%
정 227
 
2.1%
산 209
 
1.9%
부 206
 
1.9%
Other values (108) 5280
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10690
97.6%
Decimal Number 263
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3426
32.0%
전 294
 
2.8%
연 291
 
2.7%
가 266
 
2.5%
대 265
 
2.5%
장 260
 
2.4%
천 229
 
2.1%
정 227
 
2.1%
산 209
 
2.0%
부 206
 
1.9%
Other values (101) 5017
46.9%
Decimal Number
ValueCountFrequency (%)
1 77
29.3%
2 77
29.3%
3 46
17.5%
4 26
 
9.9%
5 19
 
7.2%
6 13
 
4.9%
7 5
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10690
97.6%
Common 263
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3426
32.0%
전 294
 
2.8%
연 291
 
2.7%
가 266
 
2.5%
대 265
 
2.5%
장 260
 
2.4%
천 229
 
2.1%
정 227
 
2.1%
산 209
 
2.0%
부 206
 
1.9%
Other values (101) 5017
46.9%
Common
ValueCountFrequency (%)
1 77
29.3%
2 77
29.3%
3 46
17.5%
4 26
 
9.9%
5 19
 
7.2%
6 13
 
4.9%
7 5
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10690
97.6%
ASCII 263
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 3426
32.0%
전 294
 
2.8%
연 291
 
2.7%
가 266
 
2.5%
대 265
 
2.5%
장 260
 
2.4%
천 229
 
2.1%
정 227
 
2.1%
산 209
 
2.0%
부 206
 
1.9%
Other values (101) 5017
46.9%
ASCII
ValueCountFrequency (%)
1 77
29.3%
2 77
29.3%
3 46
17.5%
4 26
 
9.9%
5 19
 
7.2%
6 13
 
4.9%
7 5
 
1.9%

리명
Categorical

IMBALANCE 

Distinct41
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size28.0 KiB
<NA>
3357 
매학리
 
25
대라리
 
23
삼성리
 
18
모전리
 
15
Other values (36)
 
130

Length

Max length4
Median length4
Mean length3.9372197
Min length2

Unique

Unique13 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3357
94.1%
매학리 25
 
0.7%
대라리 23
 
0.6%
삼성리 18
 
0.5%
모전리 15
 
0.4%
동부리 13
 
0.4%
달산리 12
 
0.3%
용수리 11
 
0.3%
교리 10
 
0.3%
시랑리 9
 
0.3%
Other values (31) 75
 
2.1%

Length

2023-12-11T01:19:16.249871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3357
94.1%
매학리 25
 
0.7%
대라리 23
 
0.6%
삼성리 18
 
0.5%
모전리 15
 
0.4%
동부리 13
 
0.4%
달산리 12
 
0.3%
용수리 11
 
0.3%
교리 10
 
0.3%
시랑리 9
 
0.3%
Other values (31) 75
 
2.1%

번지
Text

Distinct3066
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size28.0 KiB
2023-12-11T01:19:16.694754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.1008969
Min length1

Characters and Unicode

Total characters18200
Distinct characters12
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

Unique2701 ?
Unique (%)75.7%

Sample

1st row112-5
2nd row85-1
3rd row109-17
4th row3221-15
5th row2949-3
ValueCountFrequency (%)
40 14
 
0.4%
20-1 9
 
0.3%
465-2 8
 
0.2%
954 8
 
0.2%
524 7
 
0.2%
176-30 6
 
0.2%
857-1 6
 
0.2%
573-1 6
 
0.2%
290-1 5
 
0.1%
1124-2 5
 
0.1%
Other values (3056) 3494
97.9%
2023-12-11T01:19:17.341078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3340
18.4%
- 2940
16.2%
2 1914
10.5%
3 1693
9.3%
4 1537
8.4%
5 1421
7.8%
6 1166
 
6.4%
7 1156
 
6.4%
8 1064
 
5.8%
0 999
 
5.5%
Other values (2) 970
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15245
83.8%
Dash Punctuation 2940
 
16.2%
Other Letter 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3340
21.9%
2 1914
12.6%
3 1693
11.1%
4 1537
10.1%
5 1421
9.3%
6 1166
 
7.6%
7 1156
 
7.6%
8 1064
 
7.0%
0 999
 
6.6%
9 955
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 2940
100.0%
Other Letter
ValueCountFrequency (%)
산 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18185
99.9%
Hangul 15
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3340
18.4%
- 2940
16.2%
2 1914
10.5%
3 1693
9.3%
4 1537
8.5%
5 1421
7.8%
6 1166
 
6.4%
7 1156
 
6.4%
8 1064
 
5.9%
0 999
 
5.5%
Hangul
ValueCountFrequency (%)
산 15
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18185
99.9%
Hangul 15
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3340
18.4%
- 2940
16.2%
2 1914
10.5%
3 1693
9.3%
4 1537
8.5%
5 1421
7.8%
6 1166
 
6.4%
7 1156
 
6.4%
8 1064
 
5.9%
0 999
 
5.5%
Hangul
ValueCountFrequency (%)
산 15
100.0%

법정동코드
Real number (ℝ)

Distinct209
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6360112 × 109
Minimum2.6110101 × 109
Maximum2.671033 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.5 KiB
2023-12-11T01:19:17.508426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6110101 × 109
5-th percentile2.6140115 × 109
Q12.6260101 × 109
median2.6350105 × 109
Q32.6440117 × 109
95-th percentile2.671025 × 109
Maximum2.671033 × 109
Range60022930
Interquartile range (IQR)18001600

Descriptive statistics

Standard deviation14221669
Coefficient of variation (CV)0.0053951474
Kurtosis0.14683359
Mean2.6360112 × 109
Median Absolute Deviation (MAD)9001100
Skewness0.5501595
Sum9.4052881 × 1012
Variance2.0225587 × 1014
MonotonicityNot monotonic
2023-12-11T01:19:17.645162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2647010200 163
 
4.6%
2635010500 125
 
3.5%
2629010600 119
 
3.3%
2623010300 111
 
3.1%
2650010400 90
 
2.5%
2641010800 86
 
2.4%
2626010800 86
 
2.4%
2635010700 75
 
2.1%
2644010400 75
 
2.1%
2638010300 69
 
1.9%
Other values (199) 2569
72.0%
ValueCountFrequency (%)
2611010100 11
0.3%
2611010200 1
 
< 0.1%
2611010300 1
 
< 0.1%
2611010400 1
 
< 0.1%
2611010500 1
 
< 0.1%
2611010600 2
 
0.1%
2611010700 12
0.3%
2611010800 2
 
0.1%
2611010900 6
0.2%
2611011000 5
0.1%
ValueCountFrequency (%)
2671033030 1
< 0.1%
2671033029 2
0.1%
2671033027 1
< 0.1%
2671033024 2
0.1%
2671033022 1
< 0.1%
2671031031 1
< 0.1%
2671031027 1
< 0.1%
2671031026 2
0.1%
2671031025 1
< 0.1%
2671031024 1
< 0.1%

행정동코드
Real number (ℝ)

Distinct202
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.636058 × 109
Minimum2.611051 × 109
Maximum2.671033 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.5 KiB
2023-12-11T01:19:17.794340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.611051 × 109
5-th percentile2.614062 × 109
Q12.626051 × 109
median2.6350552 × 109
Q32.644056 × 109
95-th percentile2.671025 × 109
Maximum2.671033 × 109
Range59982000
Interquartile range (IQR)18005000

Descriptive statistics

Standard deviation14216247
Coefficient of variation (CV)0.0053929946
Kurtosis0.14047274
Mean2.636058 × 109
Median Absolute Deviation (MAD)9000800
Skewness0.54778953
Sum9.4054551 × 1012
Variance2.0210167 × 1014
MonotonicityNot monotonic
2023-12-11T01:19:17.959980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2671025000 82
 
2.3%
2671025600 71
 
2.0%
2644056000 70
 
2.0%
2623052000 68
 
1.9%
2641061000 60
 
1.7%
2635053000 57
 
1.6%
2629053000 56
 
1.6%
2644053500 52
 
1.5%
2653062000 52
 
1.5%
2635051000 50
 
1.4%
Other values (192) 2950
82.7%
ValueCountFrequency (%)
2611051000 31
0.9%
2611052000 10
 
0.3%
2611053000 6
 
0.2%
2611054500 6
 
0.2%
2611056000 14
0.4%
2611057000 14
0.4%
2611058000 23
0.6%
2611059000 6
 
0.2%
2611060000 6
 
0.2%
2614051000 3
 
0.1%
ValueCountFrequency (%)
2671033000 7
 
0.2%
2671031000 26
 
0.7%
2671025600 71
2.0%
2671025300 25
 
0.7%
2671025000 82
2.3%
2653068000 21
 
0.6%
2653067000 21
 
0.6%
2653066100 10
 
0.3%
2653066000 31
 
0.9%
2653065000 8
 
0.2%

도로명코드
Real number (ℝ)

MISSING 

Distinct1486
Distinct (%)42.3%
Missing57
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean2.6360159 × 1011
Minimum2.61102 × 1011
Maximum2.6710422 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.5 KiB
2023-12-11T01:19:18.398439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.61102 × 1011
5-th percentile2.6140313 × 1011
Q12.6260201 × 1011
median2.6350313 × 1011
Q32.6440421 × 1011
95-th percentile2.6710314 × 1011
Maximum2.6710422 × 1011
Range6.0022203 × 109
Interquartile range (IQR)1.8022023 × 109

Descriptive statistics

Standard deviation1.4113544 × 109
Coefficient of variation (CV)0.0053541193
Kurtosis0.15977614
Mean2.6360159 × 1011
Median Absolute Deviation (MAD)9.0107542 × 108
Skewness0.54560834
Sum9.2550519 × 1014
Variance1.9919212 × 1018
MonotonicityNot monotonic
2023-12-11T01:19:18.537135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262302000010 41
 
1.1%
263502006010 37
 
1.0%
265003131037 29
 
0.8%
262302006015 29
 
0.8%
262903131037 28
 
0.8%
263802006002 26
 
0.7%
263803134007 24
 
0.7%
264102000010 23
 
0.6%
262303006020 22
 
0.6%
263503133043 22
 
0.6%
Other values (1476) 3230
90.5%
(Missing) 57
 
1.6%
ValueCountFrequency (%)
261102000010 19
0.5%
261102006001 2
 
0.1%
261102006003 2
 
0.1%
261103006003 1
 
< 0.1%
261103006005 6
 
0.2%
261103125001 4
 
0.1%
261103125002 2
 
0.1%
261103125003 1
 
< 0.1%
261103125004 4
 
0.1%
261103125005 2
 
0.1%
ValueCountFrequency (%)
267104220326 2
0.1%
267104220320 1
< 0.1%
267104220312 2
0.1%
267104220310 1
< 0.1%
267104220304 1
< 0.1%
267104220302 1
< 0.1%
267104220281 1
< 0.1%
267104220280 1
< 0.1%
267104220278 1
< 0.1%
267104220274 2
0.1%

도로명
Text

Distinct1438
Distinct (%)40.6%
Missing30
Missing (%)0.8%
Memory size28.0 KiB
2023-12-11T01:19:18.821258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.5316563
Min length2

Characters and Unicode

Total characters19571
Distinct characters253
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique847 ?
Unique (%)23.9%

Sample

1st row낙동북로
2nd row낙동북로
3rd row낙동북로
4th row제도로
5th row제도로
ValueCountFrequency (%)
중앙대로 127
 
3.6%
수영로 59
 
1.7%
낙동대로 41
 
1.2%
가야대로 38
 
1.1%
해운대로 33
 
0.9%
다대로 25
 
0.7%
백양대로 25
 
0.7%
구덕로 24
 
0.7%
엄광로 23
 
0.7%
해운대해변로 22
 
0.6%
Other values (1428) 3121
88.2%
2023-12-11T01:19:19.164761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 3452
 
17.6%
길 1407
 
7.2%
번 1364
 
7.0%
대 1016
 
5.2%
1 684
 
3.5%
2 539
 
2.8%
3 432
 
2.2%
동 354
 
1.8%
4 346
 
1.8%
6 320
 
1.6%
Other values (243) 9657
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15871
81.1%
Decimal Number 3684
 
18.8%
Uppercase Letter 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3452
21.8%
길 1407
 
8.9%
번 1364
 
8.6%
대 1016
 
6.4%
동 354
 
2.2%
중 295
 
1.9%
앙 267
 
1.7%
해 239
 
1.5%
수 199
 
1.3%
영 188
 
1.2%
Other values (229) 7090
44.7%
Decimal Number
ValueCountFrequency (%)
1 684
18.6%
2 539
14.6%
3 432
11.7%
4 346
9.4%
6 320
8.7%
5 305
8.3%
0 285
7.7%
9 263
 
7.1%
7 262
 
7.1%
8 248
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
E 4
25.0%
C 4
25.0%
P 4
25.0%
A 4
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15871
81.1%
Common 3684
 
18.8%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3452
21.8%
길 1407
 
8.9%
번 1364
 
8.6%
대 1016
 
6.4%
동 354
 
2.2%
중 295
 
1.9%
앙 267
 
1.7%
해 239
 
1.5%
수 199
 
1.3%
영 188
 
1.2%
Other values (229) 7090
44.7%
Common
ValueCountFrequency (%)
1 684
18.6%
2 539
14.6%
3 432
11.7%
4 346
9.4%
6 320
8.7%
5 305
8.3%
0 285
7.7%
9 263
 
7.1%
7 262
 
7.1%
8 248
 
6.7%
Latin
ValueCountFrequency (%)
E 4
25.0%
C 4
25.0%
P 4
25.0%
A 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15871
81.1%
ASCII 3700
 
18.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 3452
21.8%
길 1407
 
8.9%
번 1364
 
8.6%
대 1016
 
6.4%
동 354
 
2.2%
중 295
 
1.9%
앙 267
 
1.7%
해 239
 
1.5%
수 199
 
1.3%
영 188
 
1.2%
Other values (229) 7090
44.7%
ASCII
ValueCountFrequency (%)
1 684
18.5%
2 539
14.6%
3 432
11.7%
4 346
9.4%
6 320
8.6%
5 305
8.2%
0 285
7.7%
9 263
 
7.1%
7 262
 
7.1%
8 248
 
6.7%
Other values (4) 16
 
0.4%

도로명상세
Text

Distinct873
Distinct (%)24.7%
Missing30
Missing (%)0.8%
Memory size28.0 KiB
2023-12-11T01:19:19.506702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length2.4587337
Min length1

Characters and Unicode

Total characters8699
Distinct characters19
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

Unique503 ?
Unique (%)14.2%

Sample

1st row74
2nd row42
3rd row67
4th row750
5th row761-3
ValueCountFrequency (%)
2 56
 
1.6%
24 53
 
1.5%
10 51
 
1.4%
9 50
 
1.4%
7 47
 
1.3%
20 47
 
1.3%
3 45
 
1.3%
21 42
 
1.2%
19 42
 
1.2%
16 41
 
1.2%
Other values (863) 3064
86.6%
2023-12-11T01:19:20.104943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1677
19.3%
2 1251
14.4%
3 887
10.2%
4 820
9.4%
5 702
8.1%
6 697
8.0%
7 655
 
7.5%
0 604
 
6.9%
9 536
 
6.2%
8 531
 
6.1%
Other values (9) 339
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8360
96.1%
Dash Punctuation 329
 
3.8%
Other Letter 10
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1677
20.1%
2 1251
15.0%
3 887
10.6%
4 820
9.8%
5 702
8.4%
6 697
8.3%
7 655
 
7.8%
0 604
 
7.2%
9 536
 
6.4%
8 531
 
6.4%
Other Letter
ValueCountFrequency (%)
지 2
20.0%
하 2
20.0%
중 1
10.0%
앙 1
10.0%
대 1
10.0%
로 1
10.0%
번 1
10.0%
길 1
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8689
99.9%
Hangul 10
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1677
19.3%
2 1251
14.4%
3 887
10.2%
4 820
9.4%
5 702
8.1%
6 697
8.0%
7 655
 
7.5%
0 604
 
7.0%
9 536
 
6.2%
8 531
 
6.1%
Hangul
ValueCountFrequency (%)
지 2
20.0%
하 2
20.0%
중 1
10.0%
앙 1
10.0%
대 1
10.0%
로 1
10.0%
번 1
10.0%
길 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8689
99.9%
Hangul 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1677
19.3%
2 1251
14.4%
3 887
10.2%
4 820
9.4%
5 702
8.1%
6 697
8.0%
7 655
 
7.5%
0 604
 
7.0%
9 536
 
6.2%
8 531
 
6.1%
Hangul
ValueCountFrequency (%)
지 2
20.0%
하 2
20.0%
중 1
10.0%
앙 1
10.0%
대 1
10.0%
로 1
10.0%
번 1
10.0%
길 1
10.0%

경도
Real number (ℝ)

Distinct3536
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06408
Minimum128.80737
Maximum129.2829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.5 KiB
2023-12-11T01:19:20.271966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.80737
5-th percentile128.95043
Q1129.01649
median129.06785
Q3129.10874
95-th percentile129.18326
Maximum129.2829
Range0.4755329
Interquartile range (IQR)0.09225

Descriptive statistics

Standard deviation0.074051262
Coefficient of variation (CV)0.0005737558
Kurtosis0.44946094
Mean129.06408
Median Absolute Deviation (MAD)0.04498495
Skewness-0.1495412
Sum460500.62
Variance0.0054835895
MonotonicityNot monotonic
2023-12-11T01:19:20.437232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0587351 4
 
0.1%
129.21254 3
 
0.1%
129.034613 3
 
0.1%
129.0491458 2
 
0.1%
129.1224982 2
 
0.1%
129.06504 2
 
0.1%
129.0245314 2
 
0.1%
129.1112197 2
 
0.1%
129.1754034 2
 
0.1%
129.0596064 2
 
0.1%
Other values (3526) 3544
99.3%
ValueCountFrequency (%)
128.8073653 1
< 0.1%
128.8136442 1
< 0.1%
128.8145543 1
< 0.1%
128.83098 1
< 0.1%
128.832043 1
< 0.1%
128.8325056 1
< 0.1%
128.8330484 1
< 0.1%
128.8330668 1
< 0.1%
128.8338017 1
< 0.1%
128.8339316 1
< 0.1%
ValueCountFrequency (%)
129.2828982 1
< 0.1%
129.2817125 1
< 0.1%
129.2799705 1
< 0.1%
129.2792409 1
< 0.1%
129.2778701 1
< 0.1%
129.2747311 1
< 0.1%
129.2653847 1
< 0.1%
129.265383 1
< 0.1%
129.2636913 1
< 0.1%
129.2632446 1
< 0.1%

위도
Real number (ℝ)

Distinct3544
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.167111
Minimum35.012488
Maximum35.369327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.5 KiB
2023-12-11T01:19:20.620688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.012488
5-th percentile35.085378
Q135.131491
median35.163196
Q335.199154
95-th percentile35.26352
Maximum35.369327
Range0.35683894
Interquartile range (IQR)0.06766346

Descriptive statistics

Standard deviation0.054900114
Coefficient of variation (CV)0.001561121
Kurtosis0.54727296
Mean35.167111
Median Absolute Deviation (MAD)0.03420884
Skewness0.54593254
Sum125476.25
Variance0.0030140225
MonotonicityNot monotonic
2023-12-11T01:19:20.766666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.1363944 4
 
0.1%
35.14183197 3
 
0.1%
35.19169451 3
 
0.1%
35.1551233 2
 
0.1%
35.15704761 2
 
0.1%
35.13944899 2
 
0.1%
35.10084772 2
 
0.1%
35.16599996 2
 
0.1%
35.3214002 2
 
0.1%
35.09900185 2
 
0.1%
Other values (3534) 3544
99.3%
ValueCountFrequency (%)
35.01248828 1
< 0.1%
35.02333339 1
< 0.1%
35.03033221 1
< 0.1%
35.03059669 1
< 0.1%
35.0468207 1
< 0.1%
35.04810998 1
< 0.1%
35.04812259 1
< 0.1%
35.04855119 1
< 0.1%
35.04885069 1
< 0.1%
35.04890102 1
< 0.1%
ValueCountFrequency (%)
35.36932722 1
< 0.1%
35.36846809 1
< 0.1%
35.36371102 1
< 0.1%
35.36211861 1
< 0.1%
35.34160259 1
< 0.1%
35.34137803 1
< 0.1%
35.33933076 1
< 0.1%
35.3379267 1
< 0.1%
35.33686139 1
< 0.1%
35.33641552 1
< 0.1%

폐업여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
False
3166 
True
402 
ValueCountFrequency (%)
False 3166
88.7%
True 402
 
11.3%
2023-12-11T01:19:20.884671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전화번호
Text

MISSING 

Distinct2403
Distinct (%)93.5%
Missing997
Missing (%)27.9%
Memory size28.0 KiB
2023-12-11T01:19:21.107793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.996499
Min length9

Characters and Unicode

Total characters30843
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

Unique2300 ?
Unique (%)89.5%

Sample

1st row051-831-1897
2nd row051-325-0210
3rd row070-7703-9395
4th row051-941-6254
5th row051-832-0336
ValueCountFrequency (%)
02-6916-1500 20
 
0.8%
080-555-2525 17
 
0.7%
1577-9621 9
 
0.4%
1577-0001 6
 
0.2%
051-1577-9621 4
 
0.2%
02-3284-8185 4
 
0.2%
051-325-9202 4
 
0.2%
1588-1234 3
 
0.1%
051-509-7000 3
 
0.1%
051-254-3311 3
 
0.1%
Other values (2393) 2498
97.2%
2023-12-11T01:19:21.466945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5113
16.6%
0 4599
14.9%
5 4528
14.7%
1 4351
14.1%
2 2302
7.5%
7 2022
 
6.6%
3 1797
 
5.8%
8 1708
 
5.5%
6 1658
 
5.4%
4 1533
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25730
83.4%
Dash Punctuation 5113
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4599
17.9%
5 4528
17.6%
1 4351
16.9%
2 2302
8.9%
7 2022
7.9%
3 1797
 
7.0%
8 1708
 
6.6%
6 1658
 
6.4%
4 1533
 
6.0%
9 1232
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 5113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30843
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5113
16.6%
0 4599
14.9%
5 4528
14.7%
1 4351
14.1%
2 2302
7.5%
7 2022
 
6.6%
3 1797
 
5.8%
8 1708
 
5.5%
6 1658
 
5.4%
4 1533
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30843
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5113
16.6%
0 4599
14.9%
5 4528
14.7%
1 4351
14.1%
2 2302
7.5%
7 2022
 
6.6%
3 1797
 
5.8%
8 1708
 
5.5%
6 1658
 
5.4%
4 1533
 
5.0%

홈페이지주소
Text

MISSING 

Distinct527
Distinct (%)16.6%
Missing387
Missing (%)10.8%
Memory size28.0 KiB
2023-12-11T01:19:21.660109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length246
Median length185
Mean length25.768941
Min length15

Characters and Unicode

Total characters81971
Distinct characters79
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique440 ?
Unique (%)13.8%

Sample

1st rowwww.7-eleven.co.kr
2nd rowhttp://gs25.gsretail.com/
3rd rowhttp://cu.bgfretail.com/
4th rowhttp://www.emart24.co.kr
5th rowhttp://gs25.gsretail.com/
ValueCountFrequency (%)
http://gs25.gsretail.com 739
23.2%
http://cu.bgfretail.com 601
18.9%
http://www.emart24.co.kr 212
 
6.7%
http://www.7-eleven.co.kr 187
 
5.9%
http://cu.bgfretail.com/index.do 165
 
5.2%
www.7-eleven.co.kr 146
 
4.6%
https://www.7-eleven.co.kr 108
 
3.4%
cu.bgfretail.com 84
 
2.6%
http://www.ministop.co.kr 71
 
2.2%
http://www.oliveyoung.co.kr 64
 
2.0%
Other values (503) 805
25.3%
2023-12-11T01:19:21.996898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 8636
 
10.5%
t 8182
 
10.0%
. 7244
 
8.8%
e 4768
 
5.8%
c 3871
 
4.7%
r 3764
 
4.6%
o 3652
 
4.5%
p 3226
 
3.9%
h 3131
 
3.8%
w 3126
 
3.8%
Other values (69) 32371
39.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 57268
69.9%
Other Punctuation 18927
 
23.1%
Decimal Number 3703
 
4.5%
Uppercase Letter 1453
 
1.8%
Dash Punctuation 473
 
0.6%
Math Symbol 77
 
0.1%
Connector Punctuation 55
 
0.1%
Space Separator 8
 
< 0.1%
Other Letter 4
 
< 0.1%
Modifier Symbol 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 8182
14.3%
e 4768
 
8.3%
c 3871
 
6.8%
r 3764
 
6.6%
o 3652
 
6.4%
p 3226
 
5.6%
h 3131
 
5.5%
w 3126
 
5.5%
m 2816
 
4.9%
a 2798
 
4.9%
Other values (16) 17934
31.3%
Uppercase Letter
ValueCountFrequency (%)
F 130
 
8.9%
G 119
 
8.2%
E 73
 
5.0%
S 72
 
5.0%
C 68
 
4.7%
D 67
 
4.6%
I 65
 
4.5%
A 59
 
4.1%
B 57
 
3.9%
Q 53
 
3.6%
Other values (16) 690
47.5%
Decimal Number
ValueCountFrequency (%)
2 1236
33.4%
5 946
25.5%
7 503
13.6%
4 382
 
10.3%
0 229
 
6.2%
1 136
 
3.7%
8 73
 
2.0%
6 72
 
1.9%
3 67
 
1.8%
9 59
 
1.6%
Other Punctuation
ValueCountFrequency (%)
/ 8636
45.6%
. 7244
38.3%
: 2887
 
15.3%
% 80
 
0.4%
? 39
 
0.2%
& 35
 
0.2%
, 6
 
< 0.1%
Other Letter
ValueCountFrequency (%)
홈 1
25.0%
페 1
25.0%
이 1
25.0%
지 1
25.0%
Math Symbol
ValueCountFrequency (%)
= 73
94.8%
| 4
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 473
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 55
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 58721
71.6%
Common 23246
 
28.4%
Hangul 4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 8182
13.9%
e 4768
 
8.1%
c 3871
 
6.6%
r 3764
 
6.4%
o 3652
 
6.2%
p 3226
 
5.5%
h 3131
 
5.3%
w 3126
 
5.3%
m 2816
 
4.8%
a 2798
 
4.8%
Other values (42) 19387
33.0%
Common
ValueCountFrequency (%)
/ 8636
37.2%
. 7244
31.2%
: 2887
 
12.4%
2 1236
 
5.3%
5 946
 
4.1%
7 503
 
2.2%
- 473
 
2.0%
4 382
 
1.6%
0 229
 
1.0%
1 136
 
0.6%
Other values (13) 574
 
2.5%
Hangul
ValueCountFrequency (%)
홈 1
25.0%
페 1
25.0%
이 1
25.0%
지 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81967
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 8636
 
10.5%
t 8182
 
10.0%
. 7244
 
8.8%
e 4768
 
5.8%
c 3871
 
4.7%
r 3764
 
4.6%
o 3652
 
4.5%
p 3226
 
3.9%
h 3131
 
3.8%
w 3126
 
3.8%
Other values (65) 32367
39.5%
Hangul
ValueCountFrequency (%)
홈 1
25.0%
페 1
25.0%
이 1
25.0%
지 1
25.0%

주차가능여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing396
Missing (%)11.1%
Memory size7.1 KiB
False
2612 
True
560 
(Missing)
396 
ValueCountFrequency (%)
False 2612
73.2%
True 560
 
15.7%
(Missing) 396
 
11.1%
2023-12-11T01:19:22.116075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실유무
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing395
Missing (%)11.1%
Memory size7.1 KiB
False
2500 
True
673 
(Missing)
395 
ValueCountFrequency (%)
False 2500
70.1%
True 673
 
18.9%
(Missing) 395
 
11.1%
2023-12-11T01:19:22.201562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실타입
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size28.0 KiB
<NA>
2896 
구분,외부
330 
공용,외부
 
168
구분,내부
 
148
공용,내부
 
14
Other values (5)
 
12

Length

Max length11
Median length4
Mean length4.1824552
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row공용,외부
2nd row<NA>
3rd row공용,외부
4th row공용,외부
5th row공용,외부

Common Values

ValueCountFrequency (%)
<NA> 2896
81.2%
구분,외부 330
 
9.2%
공용,외부 168
 
4.7%
구분,내부 148
 
4.1%
공용,내부 14
 
0.4%
외부 5
 
0.1%
구분 3
 
0.1%
공용 2
 
0.1%
구분,외부,내부 1
 
< 0.1%
공용,구분,외부,내부 1
 
< 0.1%

Length

2023-12-11T01:19:22.312999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:19:22.513324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2896
81.2%
구분,외부 330
 
9.2%
공용,외부 168
 
4.7%
구분,내부 148
 
4.1%
공용,내부 14
 
0.4%
외부 5
 
0.1%
구분 3
 
0.1%
공용 2
 
0.1%
구분,외부,내부 1
 
< 0.1%
공용,구분,외부,내부 1
 
< 0.1%

수유실유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing396
Missing (%)11.1%
Memory size7.1 KiB
False
3126 
True
 
46
(Missing)
396 
ValueCountFrequency (%)
False 3126
87.6%
True 46
 
1.3%
(Missing) 396
 
11.1%
2023-12-11T01:19:22.665900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

물품보관함유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing396
Missing (%)11.1%
Memory size7.1 KiB
False
3115 
True
 
57
(Missing)
396 
ValueCountFrequency (%)
False 3115
87.3%
True 57
 
1.6%
(Missing) 396
 
11.1%
2023-12-11T01:19:22.775824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

유아거치대유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing396
Missing (%)11.1%
Memory size7.1 KiB
False
3141 
True
 
31
(Missing)
396 
ValueCountFrequency (%)
False 3141
88.0%
True 31
 
0.9%
(Missing) 396
 
11.1%
2023-12-11T01:19:22.876215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휠체어이동가능여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing395
Missing (%)11.1%
Memory size7.1 KiB
False
2637 
True
536 
(Missing)
395 
ValueCountFrequency (%)
False 2637
73.9%
True 536
 
15.0%
(Missing) 395
 
11.1%
2023-12-11T01:19:22.967284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점자유도로유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing395
Missing (%)11.1%
Memory size7.1 KiB
False
3132 
True
 
41
(Missing)
395 
ValueCountFrequency (%)
False 3132
87.8%
True 41
 
1.1%
(Missing) 395
 
11.1%
2023-12-11T01:19:23.050872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록일자
Date

Distinct57
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size28.0 KiB
Minimum2021-08-24 00:00:00
Maximum2021-11-18 00:00:00
2023-12-11T01:19:23.148363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:19:23.279946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

업체명카테고리명필지고유번호시도명시군구명읍면동명리명번지법정동코드행정동코드도로명코드도로명도로명상세경도위도폐업여부전화번호홈페이지주소주차가능여부화장실유무화장실타입수유실유무물품보관함유무유아거치대유무휠체어이동가능여부점자유도로유무등록일자
0세븐일레븐쇼핑/생활2644010300101120000부산광역시강서구강동동<NA>112-526440103002644053000264403006026낙동북로74128.93732635.217787N<NA>www.7-eleven.co.krNY공용,외부NNNNN2021-09-23
1OK마트쇼핑/생활2644010300100850000부산광역시강서구강동동<NA>85-126440103002644053000264403006026낙동북로42128.93420435.218848Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-28
2GS25쇼핑/생활2644010300101090000부산광역시강서구강동동<NA>109-1726440103002644053000264403006026낙동북로67128.93710135.218331N051-831-1897http://gs25.gsretail.com/NY공용,외부NNNNN2021-09-23
3CU쇼핑/생활2644010300132210000부산광역시강서구강동동<NA>3221-1526440103002644053000264403136062제도로750128.91786535.179442N051-325-0210http://cu.bgfretail.com/NY공용,외부NNNNN2021-08-31
4이마트24쇼핑/생활2644010300129490000부산광역시강서구강동동<NA>2949-326440103002644053000264403136062제도로761-3128.9180535.180529N070-7703-9395http://www.emart24.co.krNY공용,외부NNNNN2021-08-31
5GS25쇼핑/생활2644010300116300000부산광역시강서구강동동<NA>1630-226440103002644053000264403136062제도로941128.92470835.195644N051-941-6254http://gs25.gsretail.com/NY공용,외부NNNNN2021-08-31
6GS25쇼핑/생활2644011300111720000부산광역시강서구구랑동<NA>1172-826440113002644056000264403136088미음산단로129128.85825135.136276N051-832-0336http://gs25.gsretail.com/NY구분,외부NNNNN2021-09-23
7CU쇼핑/생활2644011300112060000부산광역시강서구구랑동<NA>1206-226440113002644056000264403136088미음산단로9128.8544435.127713N051-971-8173http://cu.bgfretail.com/NY공용,외부NNNNN2021-09-23
8이마트24쇼핑/생활2644011300112050000부산광역시강서구구랑동<NA>1205-126440113002644056000264403136088미음산단로19128.85380635.128433N051-973-6502http://www.emart24.co.krNY공용,외부NNNNN2021-09-23
9세븐일레븐쇼핑/생활2644011300111710000부산광역시강서구구랑동<NA>1171-326440113002644056000264403136109미음산단로127번길22128.8581435.137193N051-832-0481www.7-eleven.co.krNY공용,외부NNNNN2021-09-23
업체명카테고리명필지고유번호시도명시군구명읍면동명리명번지법정동코드행정동코드도로명코드도로명도로명상세경도위도폐업여부전화번호홈페이지주소주차가능여부화장실유무화장실타입수유실유무물품보관함유무유아거치대유무휠체어이동가능여부점자유도로유무등록일자
3558GS25쇼핑/생활2635010600113920000부산광역시해운대구중동<NA>1392-10026350106002635053000263503133043해운대해변로287129.1622335.16048N051-747-3532http://gs25.gsretail.com/NN<NA>NNNNN2021-10-22
3559CU쇼핑/생활2635010600113920000부산광역시해운대구중동<NA>1392-10026350106002635053000263503133043해운대해변로287129.16221935.160443N051-731-1989http://cu.bgfretail.com/NN<NA>NNNNN2021-10-01
3560CU쇼핑/생활2635010600111240000부산광역시해운대구중동<NA>1124-226350106002635053000263504199300해운대해변로298번길24129.16657735.160213N051-742-7878http://cu.bgfretail.com/YN<NA>NNNYN2021-10-06
3561CU쇼핑/생활2635010600111230000부산광역시해운대구중동<NA>112326350106002635053000263504199300해운대해변로298번길29129.16666135.161256Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-01
3562GS25쇼핑/생활2635010600114040000부산광역시해운대구중동<NA>1404-3926350106002635053000263504199300해운대해변로298번길9129.1646835.16095N051-747-9735http://gs25.gsretail.com/NN<NA>NNNNN2021-10-22
3563GS25쇼핑/생활2635010600111240000부산광역시해운대구중동<NA>1124-226350106002635053000263504199300해운대해변로298번길24129.16657635.160129N051-743-5263http://gs25.gsretail.com/NN<NA>NNNNN2021-10-22
3564GS25쇼핑/생활2635010600111230000부산광역시해운대구중동<NA>112326350106002635053000263504199300해운대해변로298번길29129.16694335.160828N051-731-5263http://gs25.gsretail.com/NN<NA>NNNNN2021-10-22
3565세븐일레븐쇼핑/생활2635010600111240000부산광역시해운대구중동<NA>1124-226350106002635053000263504199300해운대해변로298번길24129.16657935.160202N051-731-2997http://www.7-eleven.co.kr/NN<NA>NNNNN2021-10-22
3566미니스톱쇼핑/생활2635010600111240000부산광역시해운대구중동<NA>1124-226350106002635053000263504199300해운대해변로298번길24129.1665835.160202N051-1577-9621www.ministop.co.krNN<NA>NNNNN2021-10-25
3567이마트24쇼핑/생활2635010600112670000부산광역시해운대구중동<NA>1267-326350106002635053000263504199302해운대해변로357번길5-1129.16810535.164258N051-731-1666http://www.emart24.co.krNN<NA>NNNNN2021-10-26

Duplicate rows

Most frequently occurring

업체명카테고리명필지고유번호시도명시군구명읍면동명리명번지법정동코드행정동코드도로명코드도로명도로명상세경도위도폐업여부전화번호홈페이지주소주차가능여부화장실유무화장실타입수유실유무물품보관함유무유아거치대유무휠체어이동가능여부점자유도로유무등록일자# duplicates
0GS25쇼핑/생활2623010100104290000부산광역시부산진구양정동<NA>429-3926230101002623056000262303129034양지로54129.0726535.166N<NA>http://gs25.gsretail.com/YY구분,외부NNNYN2021-10-222
1미니스톱쇼핑/생활2641010400108570000부산광역시금정구남산동<NA>857-126410104002641067000264104205086금샘로485번길65129.08055435.26619N<NA>http://www.ministop.co.kr/YY구분,외부NNNYN2021-09-282