Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells47620
Missing cells (%)17.6%
Duplicate rows12
Duplicate rows (%)0.1%
Total size in memory2.2 MiB
Average record size in memory230.0 B

Variable types

Text8
Categorical4
Numeric6
Boolean8
DateTime1

Dataset

Description부산지역 관광 식·음료 분야 업체의 기본정보(상호명, 지번, 도로명주소, 위도, 경도, 전화번호, 홈페이지 주소,폐점 여부) 및 열린관광시설 보유 여부(휠체어이동로, 점자유도로, 수유실, 물품보관소 등)를 제공합니다.
Author부산관광공사
URLhttps://www.data.go.kr/data/15098026/fileData.do

Alerts

카테고리명 has constant value ""Constant
시도명 has constant value ""Constant
Dataset has 12 (0.1%) duplicate rowsDuplicates
수유실유무 is highly imbalanced (97.4%)Imbalance
물품보관함유무 is highly imbalanced (95.0%)Imbalance
유아거치대유무 is highly imbalanced (81.0%)Imbalance
점자유도로유무 is highly imbalanced (99.5%)Imbalance
리명 has 8799 (88.0%) missing valuesMissing
전화번호 has 4047 (40.5%) missing valuesMissing
홈페이지주소 has 4318 (43.2%) missing valuesMissing
주차가능여부 has 4322 (43.2%) missing valuesMissing
화장실유무 has 4338 (43.4%) missing valuesMissing
수유실유무 has 4322 (43.2%) missing valuesMissing
물품보관함유무 has 4323 (43.2%) missing valuesMissing
유아거치대유무 has 4323 (43.2%) missing valuesMissing
휠체어이동가능여부 has 4322 (43.2%) missing valuesMissing
점자유도로유무 has 4321 (43.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 09:15:26.511057
Analysis finished2023-12-12 09:15:28.642703
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct8726
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:15:28.927157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length5.3658
Min length1

Characters and Unicode

Total characters53658
Distinct characters1047
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8012 ?
Unique (%)80.1%

Sample

1st row마이무라
2nd row원초밥
3rd row술통
4th row분식나라
5th row또순이네맛집
ValueCountFrequency (%)
서면점 32
 
0.3%
이디야커피 27
 
0.3%
컴포즈커피 25
 
0.2%
파리바게뜨 20
 
0.2%
양정점 17
 
0.2%
하삼동커피 16
 
0.1%
스타벅스 15
 
0.1%
메가커피 15
 
0.1%
교촌치킨 15
 
0.1%
bbq치킨 15
 
0.1%
Other values (8876) 10520
98.2%
2023-12-12T18:15:29.520990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1189
 
2.2%
리 874
 
1.6%
스 854
 
1.6%
식 848
 
1.6%
점 757
 
1.4%
집 725
 
1.4%
722
 
1.3%
당 629
 
1.2%
국 582
 
1.1%
가 572
 
1.1%
Other values (1037) 45906
85.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50897
94.9%
Uppercase Letter 1009
 
1.9%
Decimal Number 746
 
1.4%
Space Separator 722
 
1.3%
Lowercase Letter 205
 
0.4%
Other Punctuation 60
 
0.1%
Open Punctuation 7
 
< 0.1%
Dash Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1189
 
2.3%
리 874
 
1.7%
스 854
 
1.7%
식 848
 
1.7%
점 757
 
1.5%
집 725
 
1.4%
당 629
 
1.2%
국 582
 
1.1%
가 572
 
1.1%
밥 565
 
1.1%
Other values (968) 43302
85.1%
Uppercase Letter
ValueCountFrequency (%)
E 107
 
10.6%
C 97
 
9.6%
O 87
 
8.6%
B 78
 
7.7%
A 72
 
7.1%
F 72
 
7.1%
N 45
 
4.5%
S 45
 
4.5%
H 44
 
4.4%
T 39
 
3.9%
Other values (16) 323
32.0%
Lowercase Letter
ValueCountFrequency (%)
e 35
17.1%
a 26
12.7%
n 17
8.3%
f 17
8.3%
o 14
 
6.8%
h 13
 
6.3%
c 12
 
5.9%
r 11
 
5.4%
i 10
 
4.9%
t 10
 
4.9%
Other values (14) 40
19.5%
Decimal Number
ValueCountFrequency (%)
1 159
21.3%
0 109
14.6%
2 95
12.7%
9 71
9.5%
3 67
9.0%
7 62
 
8.3%
5 55
 
7.4%
8 55
 
7.4%
4 39
 
5.2%
6 34
 
4.6%
Other Punctuation
ValueCountFrequency (%)
& 41
68.3%
' 10
 
16.7%
. 5
 
8.3%
/ 3
 
5.0%
: 1
 
1.7%
Space Separator
ValueCountFrequency (%)
722
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50897
94.9%
Common 1547
 
2.9%
Latin 1214
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1189
 
2.3%
리 874
 
1.7%
스 854
 
1.7%
식 848
 
1.7%
점 757
 
1.5%
집 725
 
1.4%
당 629
 
1.2%
국 582
 
1.1%
가 572
 
1.1%
밥 565
 
1.1%
Other values (968) 43302
85.1%
Latin
ValueCountFrequency (%)
E 107
 
8.8%
C 97
 
8.0%
O 87
 
7.2%
B 78
 
6.4%
A 72
 
5.9%
F 72
 
5.9%
N 45
 
3.7%
S 45
 
3.7%
H 44
 
3.6%
T 39
 
3.2%
Other values (40) 528
43.5%
Common
ValueCountFrequency (%)
722
46.7%
1 159
 
10.3%
0 109
 
7.0%
2 95
 
6.1%
9 71
 
4.6%
3 67
 
4.3%
7 62
 
4.0%
5 55
 
3.6%
8 55
 
3.6%
& 41
 
2.7%
Other values (9) 111
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50897
94.9%
ASCII 2761
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1189
 
2.3%
리 874
 
1.7%
스 854
 
1.7%
식 848
 
1.7%
점 757
 
1.5%
집 725
 
1.4%
당 629
 
1.2%
국 582
 
1.1%
가 572
 
1.1%
밥 565
 
1.1%
Other values (968) 43302
85.1%
ASCII
ValueCountFrequency (%)
722
26.1%
1 159
 
5.8%
0 109
 
3.9%
E 107
 
3.9%
C 97
 
3.5%
2 95
 
3.4%
O 87
 
3.2%
B 78
 
2.8%
A 72
 
2.6%
F 72
 
2.6%
Other values (59) 1163
42.1%

카테고리명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
음식점/유흥시설
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음식점/유흥시설
2nd row음식점/유흥시설
3rd row음식점/유흥시설
4th row음식점/유흥시설
5th row음식점/유흥시설

Common Values

ValueCountFrequency (%)
음식점/유흥시설 10000
100.0%

Length

2023-12-12T18:15:29.695499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:29.799480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점/유흥시설 10000
100.0%

필지고유번호
Real number (ℝ)

Distinct3756
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6344002 × 1018
Minimum2.611012 × 1018
Maximum2.671033 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:15:29.900466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.611012 × 1018
5-th percentile2.6170104 × 1018
Q12.6230108 × 1018
median2.6290106 × 1018
Q32.6410109 × 1018
95-th percentile2.6710256 × 1018
Maximum2.671033 × 1018
Range6.0021031 × 1016
Interquartile range (IQR)1.80001 × 1016

Descriptive statistics

Standard deviation1.5697687 × 1016
Coefficient of variation (CV)0.005958733
Kurtosis0.77099504
Mean2.6344002 × 1018
Median Absolute Deviation (MAD)6.0003 × 1015
Skewness1.3342044
Sum2.0512012 × 1018
Variance2.4641738 × 1032
MonotonicityNot monotonic
2023-12-12T18:15:30.055316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2623010300101680000 115
 
1.1%
2617010400108300000 70
 
0.7%
2623010300105030000 44
 
0.4%
2617010400100620000 34
 
0.3%
2626010700105330000 33
 
0.3%
2641010800102930000 31
 
0.3%
2641010800104180000 31
 
0.3%
2617010200100010000 28
 
0.3%
2623011100105400000 27
 
0.3%
2629010600100500000 27
 
0.3%
Other values (3746) 9560
95.6%
ValueCountFrequency (%)
2611012000101240000 1
 
< 0.1%
2617010100100320000 1
 
< 0.1%
2617010100100350000 2
< 0.1%
2617010100100370000 1
 
< 0.1%
2617010100100380000 1
 
< 0.1%
2617010100100410000 3
< 0.1%
2617010100100420000 2
< 0.1%
2617010100100450000 4
< 0.1%
2617010100100460000 1
 
< 0.1%
2617010100100480000 1
 
< 0.1%
ValueCountFrequency (%)
2671033031101890000 1
< 0.1%
2671033030105200000 1
< 0.1%
2671033030105180000 1
< 0.1%
2671033030102240000 1
< 0.1%
2671033030100210000 1
< 0.1%
2671033029106800000 1
< 0.1%
2671033029106680000 1
< 0.1%
2671033029106620000 2
< 0.1%
2671033029106580000 1
< 0.1%
2671033029106150000 2
< 0.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
부산광역시
10000 

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 10000
100.0%

Length

2023-12-12T18:15:30.192313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:30.289068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 10000
100.0%

시군구명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
부산진구
2525 
동래구
1674 
금정구
1541 
남구
1437 
기장군
1203 
Other values (2)
1620 

Length

Max length4
Median length3
Mean length3.0382
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금정구
2nd row부산진구
3rd row동래구
4th row부산진구
5th row남구

Common Values

ValueCountFrequency (%)
부산진구 2525
25.2%
동래구 1674
16.7%
금정구 1541
15.4%
남구 1437
14.4%
기장군 1203
12.0%
강서구 914
 
9.1%
동구 706
 
7.1%

Length

2023-12-12T18:15:30.401338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:30.520046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산진구 2525
25.2%
동래구 1674
16.7%
금정구 1541
15.4%
남구 1437
14.4%
기장군 1203
12.0%
강서구 914
 
9.1%
동구 706
 
7.1%

읍면동명
Text

Distinct74
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:15:30.747747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9979
Min length2

Characters and Unicode

Total characters29979
Distinct characters82
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

Unique5 ?
Unique (%)< 0.1%

Sample

1st row장전동
2nd row부전동
3rd row명장동
4th row가야동
5th row문현동
ValueCountFrequency (%)
부전동 885
 
8.8%
대연동 768
 
7.7%
장전동 535
 
5.3%
기장읍 465
 
4.7%
명지동 452
 
4.5%
정관읍 439
 
4.4%
온천동 418
 
4.2%
전포동 386
 
3.9%
사직동 347
 
3.5%
안락동 330
 
3.3%
Other values (64) 4975
49.8%
2023-12-12T18:15:31.103468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 8847
29.5%
전 1834
 
6.1%
장 1240
 
4.1%
부 1212
 
4.0%
읍 1017
 
3.4%
대 915
 
3.1%
정 895
 
3.0%
명 844
 
2.8%
연 826
 
2.8%
천 673
 
2.2%
Other values (72) 11676
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29837
99.5%
Decimal Number 142
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8847
29.7%
전 1834
 
6.1%
장 1240
 
4.2%
부 1212
 
4.1%
읍 1017
 
3.4%
대 915
 
3.1%
정 895
 
3.0%
명 844
 
2.8%
연 826
 
2.8%
천 673
 
2.3%
Other values (70) 11534
38.7%
Decimal Number
ValueCountFrequency (%)
2 74
52.1%
1 68
47.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29837
99.5%
Common 142
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8847
29.7%
전 1834
 
6.1%
장 1240
 
4.2%
부 1212
 
4.1%
읍 1017
 
3.4%
대 915
 
3.1%
정 895
 
3.0%
명 844
 
2.8%
연 826
 
2.8%
천 673
 
2.3%
Other values (70) 11534
38.7%
Common
ValueCountFrequency (%)
2 74
52.1%
1 68
47.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29837
99.5%
ASCII 142
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 8847
29.7%
전 1834
 
6.1%
장 1240
 
4.2%
부 1212
 
4.1%
읍 1017
 
3.4%
대 915
 
3.1%
정 895
 
3.0%
명 844
 
2.8%
연 826
 
2.8%
천 673
 
2.3%
Other values (70) 11534
38.7%
ASCII
ValueCountFrequency (%)
2 74
52.1%
1 68
47.9%

리명
Text

MISSING 

Distinct55
Distinct (%)4.6%
Missing8799
Missing (%)88.0%
Memory size156.2 KiB
2023-12-12T18:15:31.309071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9275604
Min length2

Characters and Unicode

Total characters3516
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.6%

Sample

1st row대라리
2nd row교리
3rd row죽성리
4th row동부리
5th row월내리
ValueCountFrequency (%)
매학리 219
18.2%
대라리 112
 
9.3%
동부리 102
 
8.5%
모전리 92
 
7.7%
삼성리 63
 
5.2%
교리 59
 
4.9%
용수리 54
 
4.5%
방곡리 43
 
3.6%
시랑리 41
 
3.4%
연화리 29
 
2.4%
Other values (45) 387
32.2%
2023-12-12T18:15:31.703921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 1201
34.2%
학 228
 
6.5%
매 219
 
6.2%
대 138
 
3.9%
동 119
 
3.4%
라 112
 
3.2%
부 109
 
3.1%
전 101
 
2.9%
모 92
 
2.6%
성 84
 
2.4%
Other values (59) 1113
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3516
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1201
34.2%
학 228
 
6.5%
매 219
 
6.2%
대 138
 
3.9%
동 119
 
3.4%
라 112
 
3.2%
부 109
 
3.1%
전 101
 
2.9%
모 92
 
2.6%
성 84
 
2.4%
Other values (59) 1113
31.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3516
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1201
34.2%
학 228
 
6.5%
매 219
 
6.2%
대 138
 
3.9%
동 119
 
3.4%
라 112
 
3.2%
부 109
 
3.1%
전 101
 
2.9%
모 92
 
2.6%
성 84
 
2.4%
Other values (59) 1113
31.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3516
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 1201
34.2%
학 228
 
6.5%
매 219
 
6.2%
대 138
 
3.9%
동 119
 
3.4%
라 112
 
3.2%
부 109
 
3.1%
전 101
 
2.9%
모 92
 
2.6%
성 84
 
2.4%
Other values (59) 1113
31.7%

번지
Text

Distinct6580
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:15:32.211277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.3134
Min length1

Characters and Unicode

Total characters53134
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

Unique4695 ?
Unique (%)46.9%

Sample

1st row293-175
2nd row403-11
3rd row145-9
4th row396-1
5th row244-8
ValueCountFrequency (%)
503-15 44
 
0.4%
62-5 31
 
0.3%
524 24
 
0.2%
502-3 24
 
0.2%
1229-1 22
 
0.2%
668-1 22
 
0.2%
256-6 20
 
0.2%
93-6 19
 
0.2%
176-30 17
 
0.2%
506-3 16
 
0.2%
Other values (6570) 9761
97.6%
2023-12-12T18:15:32.774006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 9158
17.2%
1 8277
15.6%
2 5654
10.6%
3 5445
10.2%
4 4591
8.6%
5 4266
8.0%
6 3778
7.1%
7 3380
 
6.4%
8 3054
 
5.7%
0 2810
 
5.3%
Other values (2) 2721
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43944
82.7%
Dash Punctuation 9158
 
17.2%
Other Letter 32
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8277
18.8%
2 5654
12.9%
3 5445
12.4%
4 4591
10.4%
5 4266
9.7%
6 3778
8.6%
7 3380
7.7%
8 3054
 
6.9%
0 2810
 
6.4%
9 2689
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 9158
100.0%
Other Letter
ValueCountFrequency (%)
산 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53102
99.9%
Hangul 32
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 9158
17.2%
1 8277
15.6%
2 5654
10.6%
3 5445
10.3%
4 4591
8.6%
5 4266
8.0%
6 3778
7.1%
7 3380
 
6.4%
8 3054
 
5.8%
0 2810
 
5.3%
Hangul
ValueCountFrequency (%)
산 32
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53102
99.9%
Hangul 32
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 9158
17.2%
1 8277
15.6%
2 5654
10.6%
3 5445
10.3%
4 4591
8.6%
5 4266
8.0%
6 3778
7.1%
7 3380
 
6.4%
8 3054
 
5.8%
0 2810
 
5.3%
Hangul
ValueCountFrequency (%)
산 32
100.0%

법정동코드
Real number (ℝ)

Distinct124
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6344002 × 109
Minimum2.611012 × 109
Maximum2.671033 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:15:33.079857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.611012 × 109
5-th percentile2.6170104 × 109
Q12.6230108 × 109
median2.6290106 × 109
Q32.6410109 × 109
95-th percentile2.6710256 × 109
Maximum2.671033 × 109
Range60021031
Interquartile range (IQR)18000100

Descriptive statistics

Standard deviation15697687
Coefficient of variation (CV)0.0059587329
Kurtosis0.77099506
Mean2.6344002 × 109
Median Absolute Deviation (MAD)6000300
Skewness1.3342044
Sum2.6344002 × 1013
Variance2.4641738 × 1014
MonotonicityNot monotonic
2023-12-12T18:15:33.261149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2623010300 885
 
8.8%
2629010600 768
 
7.7%
2641010800 535
 
5.3%
2644010400 452
 
4.5%
2626010800 418
 
4.2%
2623010200 386
 
3.9%
2626010900 347
 
3.5%
2626010200 330
 
3.3%
2629010700 306
 
3.1%
2617010100 302
 
3.0%
Other values (114) 5271
52.7%
ValueCountFrequency (%)
2611012000 1
 
< 0.1%
2617010100 302
 
3.0%
2617010200 170
 
1.7%
2617010300 25
 
0.2%
2617010400 207
 
2.1%
2623010100 253
 
2.5%
2623010200 386
3.9%
2623010300 885
8.8%
2623010400 180
 
1.8%
2623010500 16
 
0.2%
ValueCountFrequency (%)
2671033031 1
 
< 0.1%
2671033030 4
< 0.1%
2671033029 8
0.1%
2671033028 2
 
< 0.1%
2671033026 7
0.1%
2671033025 6
0.1%
2671033024 7
0.1%
2671033023 1
 
< 0.1%
2671033022 6
0.1%
2671033021 1
 
< 0.1%

행정동코드
Real number (ℝ)

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6344433 × 109
Minimum2.6110545 × 109
Maximum2.671033 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:15:33.474251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6110545 × 109
5-th percentile2.617065 × 109
Q12.623067 × 109
median2.629051 × 109
Q32.641067 × 109
95-th percentile2.6710256 × 109
Maximum2.671033 × 109
Range59978500
Interquartile range (IQR)18000000

Descriptive statistics

Standard deviation15683595
Coefficient of variation (CV)0.0059532861
Kurtosis0.76742856
Mean2.6344433 × 109
Median Absolute Deviation (MAD)5999000
Skewness1.3327872
Sum2.6344433 × 1013
Variance2.4597514 × 1014
MonotonicityNot monotonic
2023-12-12T18:15:34.001570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2623052000 606
 
6.1%
2671025000 468
 
4.7%
2629053000 447
 
4.5%
2671025600 439
 
4.4%
2641061000 372
 
3.7%
2644053500 313
 
3.1%
2623051000 297
 
3.0%
2623060000 269
 
2.7%
2626054500 261
 
2.6%
2644056000 247
 
2.5%
Other values (86) 6281
62.8%
ValueCountFrequency (%)
2611054500 1
 
< 0.1%
2617051000 49
 
0.5%
2617052000 113
1.1%
2617053000 123
1.2%
2617055000 17
 
0.2%
2617056000 21
 
0.2%
2617057000 131
1.3%
2617059000 10
 
0.1%
2617060000 8
 
0.1%
2617064500 19
 
0.2%
ValueCountFrequency (%)
2671033000 43
 
0.4%
2671031000 139
 
1.4%
2671025600 439
4.4%
2671025300 112
 
1.1%
2671025000 468
4.7%
2647068000 1
 
< 0.1%
2644058000 24
 
0.2%
2644056000 247
2.5%
2644055000 20
 
0.2%
2644054500 139
 
1.4%

도로명코드
Real number (ℝ)

Distinct1524
Distinct (%)15.4%
Missing81
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean2.6343093 × 1011
Minimum2.6110313 × 1011
Maximum2.6710485 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:15:34.253371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6110313 × 1011
5-th percentile2.6170418 × 1011
Q12.6230419 × 1011
median2.6290313 × 1011
Q32.6410421 × 1011
95-th percentile2.6710317 × 1011
Maximum2.6710485 × 1011
Range6.00173 × 109
Interquartile range (IQR)1.8000178 × 109

Descriptive statistics

Standard deviation1.5600849 × 109
Coefficient of variation (CV)0.0059221781
Kurtosis0.82854292
Mean2.6343093 × 1011
Median Absolute Deviation (MAD)6.0000199 × 108
Skewness1.3481793
Sum2.6129714 × 1015
Variance2.4338648 × 1018
MonotonicityNot monotonic
2023-12-12T18:15:34.500124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264103130022 173
 
1.7%
262302006015 123
 
1.2%
267103140047 113
 
1.1%
262302000010 98
 
1.0%
262903131037 84
 
0.8%
264403350868 80
 
0.8%
267103140057 76
 
0.8%
262602006006 72
 
0.7%
262303129010 72
 
0.7%
262303129025 71
 
0.7%
Other values (1514) 8957
89.6%
(Missing) 81
 
0.8%
ValueCountFrequency (%)
261103125010 1
 
< 0.1%
261702000010 56
0.6%
261702006001 4
 
< 0.1%
261703006001 15
 
0.1%
261703006002 23
0.2%
261703125009 2
 
< 0.1%
261703125011 23
0.2%
261703127001 44
0.4%
261703127002 2
 
< 0.1%
261703127004 1
 
< 0.1%
ValueCountFrequency (%)
267104854997 1
< 0.1%
267104220600 1
< 0.1%
267104220379 1
< 0.1%
267104220376 1
< 0.1%
267104220370 1
< 0.1%
267104220367 1
< 0.1%
267104220366 1
< 0.1%
267104220365 1
< 0.1%
267104220363 1
< 0.1%
267104220360 1
< 0.1%

도로명
Text

Distinct1499
Distinct (%)15.1%
Missing52
Missing (%)0.5%
Memory size156.2 KiB
2023-12-12T18:15:34.857729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length5.8552473
Min length3

Characters and Unicode

Total characters58248
Distinct characters223
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

Unique521 ?
Unique (%)5.2%

Sample

1st row금정로68번길
2nd row서면문화로
3rd row명장로64번길
4th row대학로
5th row고동골로4번길
ValueCountFrequency (%)
중앙대로 240
 
2.4%
금강로 201
 
2.0%
가야대로 124
 
1.2%
정관로 116
 
1.2%
수영로 88
 
0.9%
명지국제8로 80
 
0.8%
기장해안로 76
 
0.8%
동천로 72
 
0.7%
엄광로 72
 
0.7%
충렬대로 70
 
0.7%
Other values (1489) 8809
88.6%
2023-12-12T18:15:35.361074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 9511
 
16.3%
길 5123
 
8.8%
번 4686
 
8.0%
1 2472
 
4.2%
대 2041
 
3.5%
2 1610
 
2.8%
3 1319
 
2.3%
6 1181
 
2.0%
8 1159
 
2.0%
4 1116
 
1.9%
Other values (213) 28030
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45660
78.4%
Decimal Number 12588
 
21.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9511
20.8%
길 5123
 
11.2%
번 4686
 
10.3%
대 2041
 
4.5%
명 937
 
2.1%
동 906
 
2.0%
중 874
 
1.9%
앙 811
 
1.8%
전 661
 
1.4%
서 632
 
1.4%
Other values (203) 19478
42.7%
Decimal Number
ValueCountFrequency (%)
1 2472
19.6%
2 1610
12.8%
3 1319
10.5%
6 1181
9.4%
8 1159
9.2%
4 1116
8.9%
9 1030
8.2%
5 925
 
7.3%
7 917
 
7.3%
0 859
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45660
78.4%
Common 12588
 
21.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9511
20.8%
길 5123
 
11.2%
번 4686
 
10.3%
대 2041
 
4.5%
명 937
 
2.1%
동 906
 
2.0%
중 874
 
1.9%
앙 811
 
1.8%
전 661
 
1.4%
서 632
 
1.4%
Other values (203) 19478
42.7%
Common
ValueCountFrequency (%)
1 2472
19.6%
2 1610
12.8%
3 1319
10.5%
6 1181
9.4%
8 1159
9.2%
4 1116
8.9%
9 1030
8.2%
5 925
 
7.3%
7 917
 
7.3%
0 859
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45660
78.4%
ASCII 12588
 
21.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 9511
20.8%
길 5123
 
11.2%
번 4686
 
10.3%
대 2041
 
4.5%
명 937
 
2.1%
동 906
 
2.0%
중 874
 
1.9%
앙 811
 
1.8%
전 661
 
1.4%
서 632
 
1.4%
Other values (203) 19478
42.7%
ASCII
ValueCountFrequency (%)
1 2472
19.6%
2 1610
12.8%
3 1319
10.5%
6 1181
9.4%
8 1159
9.2%
4 1116
8.9%
9 1030
8.2%
5 925
 
7.3%
7 917
 
7.3%
0 859
 
6.8%

도로명상세
Text

Distinct1642
Distinct (%)16.5%
Missing52
Missing (%)0.5%
Memory size156.2 KiB
2023-12-12T18:15:35.823548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length2.5597105
Min length1

Characters and Unicode

Total characters25464
Distinct characters13
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

Unique809 ?
Unique (%)8.1%

Sample

1st row42
2nd row40-2
3rd row12
4th row49-1
5th row10
ValueCountFrequency (%)
8 171
 
1.7%
9 146
 
1.5%
16 144
 
1.4%
11 143
 
1.4%
10 143
 
1.4%
3 136
 
1.4%
6 133
 
1.3%
20 131
 
1.3%
7 130
 
1.3%
12 126
 
1.3%
Other values (1632) 8545
85.9%
2023-12-12T18:15:36.539396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4851
19.1%
2 3361
13.2%
3 2710
10.6%
4 2246
8.8%
5 2172
8.5%
6 2047
8.0%
- 1895
 
7.4%
7 1760
 
6.9%
8 1592
 
6.3%
0 1425
 
5.6%
Other values (3) 1405
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23567
92.6%
Dash Punctuation 1895
 
7.4%
Other Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4851
20.6%
2 3361
14.3%
3 2710
11.5%
4 2246
9.5%
5 2172
9.2%
6 2047
8.7%
7 1760
 
7.5%
8 1592
 
6.8%
0 1425
 
6.0%
9 1403
 
6.0%
Other Letter
ValueCountFrequency (%)
지 1
50.0%
하 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1895
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25462
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4851
19.1%
2 3361
13.2%
3 2710
10.6%
4 2246
8.8%
5 2172
8.5%
6 2047
8.0%
- 1895
 
7.4%
7 1760
 
6.9%
8 1592
 
6.3%
0 1425
 
5.6%
Hangul
ValueCountFrequency (%)
지 1
50.0%
하 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25462
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4851
19.1%
2 3361
13.2%
3 2710
10.6%
4 2246
8.8%
5 2172
8.5%
6 2047
8.0%
- 1895
 
7.4%
7 1760
 
6.9%
8 1592
 
6.3%
0 1425
 
5.6%
Hangul
ValueCountFrequency (%)
지 1
50.0%
하 1
50.0%

경도
Real number (ℝ)

Distinct9155
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.07466
Minimum128.80709
Maximum129.29041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:15:36.735563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.80709
5-th percentile128.91814
Q1129.05665
median129.07748
Q3129.0995
95-th percentile129.21569
Maximum129.29041
Range0.48331507
Interquartile range (IQR)0.042852451

Descriptive statistics

Standard deviation0.073071027
Coefficient of variation (CV)0.00056611441
Kurtosis2.0634614
Mean129.07466
Median Absolute Deviation (MAD)0.021446287
Skewness-0.41345031
Sum1290746.6
Variance0.0053393749
MonotonicityNot monotonic
2023-12-12T18:15:36.936218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.058573866377 16
 
0.2%
129.056935902066 15
 
0.1%
129.063015089293 13
 
0.1%
128.918143611079 12
 
0.1%
129.081136844269 11
 
0.1%
129.065646446771 11
 
0.1%
129.06135893955 11
 
0.1%
129.027318710564 10
 
0.1%
129.077479753246 9
 
0.1%
129.113368484015 9
 
0.1%
Other values (9145) 9883
98.8%
ValueCountFrequency (%)
128.807093672806 1
< 0.1%
128.807107459063 1
< 0.1%
128.809589272274 1
< 0.1%
128.812217315644 1
< 0.1%
128.813014740378 1
< 0.1%
128.813209782962 1
< 0.1%
128.815764108304 1
< 0.1%
128.815838673299 1
< 0.1%
128.821666053606 1
< 0.1%
128.824413445814 1
< 0.1%
ValueCountFrequency (%)
129.290408738524 1
< 0.1%
129.287064402178 1
< 0.1%
129.285579866415 1
< 0.1%
129.285480467941 1
< 0.1%
129.285194253759 1
< 0.1%
129.285107506233 1
< 0.1%
129.284939612941 1
< 0.1%
129.284652076363 1
< 0.1%
129.284579287778 1
< 0.1%
129.284263054749 1
< 0.1%

위도
Real number (ℝ)

Distinct9155
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.183676
Minimum35.005596
Maximum35.382346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:15:37.138527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.005596
5-th percentile35.099728
Q135.138836
median35.166383
Q335.220286
95-th percentile35.319405
Maximum35.382346
Range0.37674926
Interquartile range (IQR)0.081450081

Descriptive statistics

Standard deviation0.0587491
Coefficient of variation (CV)0.0016697829
Kurtosis0.1268734
Mean35.183676
Median Absolute Deviation (MAD)0.036974539
Skewness0.6598227
Sum351836.76
Variance0.0034514568
MonotonicityNot monotonic
2023-12-12T18:15:37.335974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.141301864945 16
 
0.2%
35.1565890556905 15
 
0.1%
35.1570347783065 13
 
0.1%
35.0931120333058 12
 
0.1%
35.2045508000481 11
 
0.1%
35.1471725568136 11
 
0.1%
35.1962690731106 11
 
0.1%
35.1524657202568 10
 
0.1%
35.2117079682984 9
 
0.1%
35.1326140380064 9
 
0.1%
Other values (9145) 9883
98.8%
ValueCountFrequency (%)
35.0055963639689 1
< 0.1%
35.0105603861682 1
< 0.1%
35.0109666717328 1
< 0.1%
35.0111375419083 1
< 0.1%
35.0121401952665 1
< 0.1%
35.0148894843835 1
< 0.1%
35.0230140250654 1
< 0.1%
35.0234586726943 1
< 0.1%
35.0234640243109 1
< 0.1%
35.0260216104507 1
< 0.1%
ValueCountFrequency (%)
35.3823456244176 1
< 0.1%
35.3750363677809 1
< 0.1%
35.3712328141125 1
< 0.1%
35.371152531657 1
< 0.1%
35.3711380083935 1
< 0.1%
35.3707623316632 1
< 0.1%
35.3702734236851 1
< 0.1%
35.3696134362797 1
< 0.1%
35.3696019687463 1
< 0.1%
35.3693191832108 1
< 0.1%

폐업여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
5627 
True
4373 
ValueCountFrequency (%)
False 5627
56.3%
True 4373
43.7%
2023-12-12T18:15:37.510835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전화번호
Text

MISSING 

Distinct5620
Distinct (%)94.4%
Missing4047
Missing (%)40.5%
Memory size156.2 KiB
2023-12-12T18:15:37.861747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.035612
Min length6

Characters and Unicode

Total characters71648
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

Unique5358 ?
Unique (%)90.0%

Sample

1st row051-914-1298
2nd row051-891-2442
3rd row051-554-4582
4th row051-625-6366
5th row051-583-1256
ValueCountFrequency (%)
1522-3232 13
 
0.2%
1577-0001 11
 
0.2%
051-667-2233 8
 
0.1%
051-606-1234 7
 
0.1%
051-550-6000 5
 
0.1%
051-605-2500 5
 
0.1%
1833-9001 5
 
0.1%
051-203-2258 4
 
0.1%
051-901-2500 4
 
0.1%
051-552-1651 4
 
0.1%
Other values (5610) 5887
98.9%
2023-12-12T18:15:38.431492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 11871
16.6%
5 11024
15.4%
0 10506
14.7%
1 9670
13.5%
2 5329
7.4%
8 4654
 
6.5%
7 4511
 
6.3%
3 3707
 
5.2%
9 3705
 
5.2%
6 3649
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59777
83.4%
Dash Punctuation 11871
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 11024
18.4%
0 10506
17.6%
1 9670
16.2%
2 5329
8.9%
8 4654
7.8%
7 4511
7.5%
3 3707
 
6.2%
9 3705
 
6.2%
6 3649
 
6.1%
4 3022
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 11871
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71648
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 11871
16.6%
5 11024
15.4%
0 10506
14.7%
1 9670
13.5%
2 5329
7.4%
8 4654
 
6.5%
7 4511
 
6.3%
3 3707
 
5.2%
9 3705
 
5.2%
6 3649
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 11871
16.6%
5 11024
15.4%
0 10506
14.7%
1 9670
13.5%
2 5329
7.4%
8 4654
 
6.5%
7 4511
 
6.3%
3 3707
 
5.2%
9 3705
 
5.2%
6 3649
 
5.1%

홈페이지주소
Text

MISSING 

Distinct5189
Distinct (%)91.3%
Missing4318
Missing (%)43.2%
Memory size156.2 KiB
2023-12-12T18:15:38.745863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length541
Median length24
Mean length26.511792
Min length7

Characters and Unicode

Total characters150640
Distinct characters210
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4894 ?
Unique (%)86.1%

Sample

1st rowhttp://naver.me/5CzRa7QU
2nd rowhttp://naver.me/Fn2KiYg0
3rd rowhttp://naver.me/5OnMRFzx
4th rowhttp://naver.me/FbR89njt
5th rowhttp://naver.me/x4bu6wnx
ValueCountFrequency (%)
http://www.ediya.com 22
 
0.4%
https://composecoffee.com 11
 
0.2%
http://www.starbucks.co.kr 10
 
0.2%
http://www.cheogajip.co.kr 9
 
0.2%
http://www.megacoffee.me 8
 
0.1%
https://www.paris.co.kr 8
 
0.1%
http://www.paris.co.kr 8
 
0.1%
http://cafe051.com 7
 
0.1%
http://www.baskinrobbins.co.kr 7
 
0.1%
http://yoogane.co.kr 7
 
0.1%
Other values (5163) 5592
98.3%
2023-12-12T18:15:39.223379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 16774
 
11.1%
t 12861
 
8.5%
e 10271
 
6.8%
. 7599
 
5.0%
a 7366
 
4.9%
m 6739
 
4.5%
h 6620
 
4.4%
p 6498
 
4.3%
r 6380
 
4.2%
n 6373
 
4.2%
Other values (200) 63159
41.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 96035
63.8%
Other Punctuation 30577
 
20.3%
Uppercase Letter 14520
 
9.6%
Decimal Number 8352
 
5.5%
Connector Punctuation 554
 
0.4%
Other Letter 242
 
0.2%
Math Symbol 188
 
0.1%
Dash Punctuation 157
 
0.1%
Space Separator 14
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 12
 
5.0%
한 7
 
2.9%
의 7
 
2.9%
두 7
 
2.9%
문 6
 
2.5%
모 6
 
2.5%
주 6
 
2.5%
불 5
 
2.1%
정 5
 
2.1%
삼 4
 
1.7%
Other values (123) 177
73.1%
Lowercase Letter
ValueCountFrequency (%)
t 12861
13.4%
e 10271
10.7%
a 7366
 
7.7%
m 6739
 
7.0%
h 6620
 
6.9%
p 6498
 
6.8%
r 6380
 
6.6%
n 6373
 
6.6%
v 4644
 
4.8%
o 4209
 
4.4%
Other values (16) 24074
25.1%
Uppercase Letter
ValueCountFrequency (%)
F 1473
 
10.1%
G 1362
 
9.4%
I 656
 
4.5%
B 591
 
4.1%
E 564
 
3.9%
A 561
 
3.9%
C 529
 
3.6%
D 523
 
3.6%
K 516
 
3.6%
O 496
 
3.4%
Other values (16) 7249
49.9%
Other Punctuation
ValueCountFrequency (%)
/ 16774
54.9%
. 7599
24.9%
: 5532
 
18.1%
% 460
 
1.5%
? 106
 
0.3%
& 84
 
0.3%
, 12
 
< 0.1%
# 4
 
< 0.1%
; 3
 
< 0.1%
@ 3
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
5 1676
20.1%
0 1050
12.6%
1 855
10.2%
2 748
9.0%
8 716
8.6%
3 690
8.3%
9 685
8.2%
4 677
8.1%
7 643
 
7.7%
6 612
 
7.3%
Connector Punctuation
ValueCountFrequency (%)
_ 554
100.0%
Math Symbol
ValueCountFrequency (%)
= 188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Final Punctuation
ValueCountFrequency (%)
› 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 110555
73.4%
Common 39843
 
26.4%
Hangul 242
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 12
 
5.0%
한 7
 
2.9%
의 7
 
2.9%
두 7
 
2.9%
문 6
 
2.5%
모 6
 
2.5%
주 6
 
2.5%
불 5
 
2.1%
정 5
 
2.1%
삼 4
 
1.7%
Other values (123) 177
73.1%
Latin
ValueCountFrequency (%)
t 12861
 
11.6%
e 10271
 
9.3%
a 7366
 
6.7%
m 6739
 
6.1%
h 6620
 
6.0%
p 6498
 
5.9%
r 6380
 
5.8%
n 6373
 
5.8%
v 4644
 
4.2%
o 4209
 
3.8%
Other values (42) 38594
34.9%
Common
ValueCountFrequency (%)
/ 16774
42.1%
. 7599
19.1%
: 5532
 
13.9%
5 1676
 
4.2%
0 1050
 
2.6%
1 855
 
2.1%
2 748
 
1.9%
8 716
 
1.8%
3 690
 
1.7%
9 685
 
1.7%
Other values (15) 3518
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150397
99.8%
Hangul 241
 
0.2%
Punctuation 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 16774
 
11.2%
t 12861
 
8.6%
e 10271
 
6.8%
. 7599
 
5.1%
a 7366
 
4.9%
m 6739
 
4.5%
h 6620
 
4.4%
p 6498
 
4.3%
r 6380
 
4.2%
n 6373
 
4.2%
Other values (66) 62916
41.8%
Hangul
ValueCountFrequency (%)
이 12
 
5.0%
한 7
 
2.9%
의 7
 
2.9%
두 7
 
2.9%
문 6
 
2.5%
모 6
 
2.5%
주 6
 
2.5%
불 5
 
2.1%
정 5
 
2.1%
삼 4
 
1.7%
Other values (122) 176
73.0%
Punctuation
ValueCountFrequency (%)
› 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅍ 1
100.0%

주차가능여부
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing4322
Missing (%)43.2%
Memory size97.7 KiB
False
4260 
True
1418 
(Missing)
4322 
ValueCountFrequency (%)
False 4260
42.6%
True 1418
 
14.2%
(Missing) 4322
43.2%
2023-12-12T18:15:39.365315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실유무
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing4338
Missing (%)43.4%
Memory size97.7 KiB
True
4604 
False
1058 
(Missing)
4338 
ValueCountFrequency (%)
True 4604
46.0%
False 1058
 
10.6%
(Missing) 4338
43.4%
2023-12-12T18:15:39.465714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실타입
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5402 
구분,내부
2370 
공용,내부
1135 
구분,외부
742 
공용,외부
 
284
Other values (7)
 
67

Length

Max length8
Median length4
Mean length4.4418
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5402
54.0%
구분,내부 2370
23.7%
공용,내부 1135
 
11.3%
구분,외부 742
 
7.4%
공용,외부 284
 
2.8%
내부 34
 
0.3%
구분 13
 
0.1%
외부 8
 
0.1%
공용 8
 
0.1%
구분,외부,내부 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Length

2023-12-12T18:15:39.573278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5402
54.0%
구분,내부 2370
23.7%
공용,내부 1135
 
11.3%
구분,외부 742
 
7.4%
공용,외부 284
 
2.8%
내부 34
 
0.3%
구분 13
 
0.1%
외부 8
 
0.1%
공용 8
 
0.1%
구분,외부,내부 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

수유실유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing4322
Missing (%)43.2%
Memory size97.7 KiB
False
5663 
True
 
15
(Missing)
4322 
ValueCountFrequency (%)
False 5663
56.6%
True 15
 
0.1%
(Missing) 4322
43.2%
2023-12-12T18:15:39.688226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

물품보관함유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing4323
Missing (%)43.2%
Memory size97.7 KiB
False
5645 
True
 
32
(Missing)
4323 
ValueCountFrequency (%)
False 5645
56.5%
True 32
 
0.3%
(Missing) 4323
43.2%
2023-12-12T18:15:39.787981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

유아거치대유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing4323
Missing (%)43.2%
Memory size97.7 KiB
False
5512 
True
 
165
(Missing)
4323 
ValueCountFrequency (%)
False 5512
55.1%
True 165
 
1.7%
(Missing) 4323
43.2%
2023-12-12T18:15:39.883080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휠체어이동가능여부
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing4322
Missing (%)43.2%
Memory size97.7 KiB
False
4895 
True
783 
(Missing)
4322 
ValueCountFrequency (%)
False 4895
48.9%
True 783
 
7.8%
(Missing) 4322
43.2%
2023-12-12T18:15:39.988122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점자유도로유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing4321
Missing (%)43.2%
Memory size97.7 KiB
False
5677 
True
 
2
(Missing)
4321 
ValueCountFrequency (%)
False 5677
56.8%
True 2
 
< 0.1%
(Missing) 4321
43.2%
2023-12-12T18:15:40.096983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록일자
Date

Distinct58
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-08-24 00:00:00
Maximum2021-11-22 00:00:00
2023-12-12T18:15:40.220362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:15:40.393606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

업체명카테고리명필지고유번호시도명시군구명읍면동명리명번지법정동코드행정동코드도로명코드도로명도로명상세경도위도폐업여부전화번호홈페이지주소주차가능여부화장실유무화장실타입수유실유무물품보관함유무유아거치대유무휠체어이동가능여부점자유도로유무등록일자
8481마이무라음식점/유흥시설2641010800102930000부산광역시금정구장전동<NA>293-17526410108002641061000264104205110금정로68번길42129.08858735.230249Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-15
35670원초밥음식점/유흥시설2623010300104030000부산광역시부산진구부전동<NA>403-1126230103002623051000262303129026서면문화로40-2129.0559535.160807N051-914-1298http://naver.me/5CzRa7QUNN<NA>NNNNN2021-11-04
24842술통음식점/유흥시설2626010100101450000부산광역시동래구명장동<NA>145-926260101002626076100262604190180명장로64번길12129.10748335.204011N<NA>http://naver.me/Fn2KiYg0YY공용,외부NNNNN2021-10-14
30453분식나라음식점/유흥시설2623011000103960000부산광역시부산진구가야동<NA>396-126230110002623071000262303129008대학로49-1129.03527635.151191N051-891-2442http://naver.me/5OnMRFzxNN<NA>NNNNN2021-10-26
18185또순이네맛집음식점/유흥시설2629010900102440000부산광역시남구문현동<NA>244-826290109002629070000262904193009고동골로4번길10129.07170835.137332Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-22
27862AMBRIX음식점/유흥시설2626010200107890000부산광역시동래구안락동<NA>789-426260102002626074000262604190524충렬대로331번길5129.09501735.199002Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-09-06
7961194번길음식점/유흥시설2641010800105420000부산광역시금정구장전동<NA>542-2326410108002641061000264104205025금강로194번길4129.08263935.225729Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-15
2222고선생고로케음식점/유흥시설2644010400132390000부산광역시강서구명지동<NA>3239-326440104002644054500264403136045명지오션시티4로65128.90395435.083272Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-28
26253엄마손분식음식점/유흥시설2626010900101360000부산광역시동래구사직동<NA>136-1326260109002626060000262604190364여고로63번길98129.06933735.20053N051-554-4582http://naver.me/FbR89njtNN<NA>NNNYN2021-10-14
15621아사히돈까스음식점/유흥시설2629010600117550000부산광역시남구대연동<NA>1755-1426290106002629051000262904193140수영로208번길45129.08863535.133455Y051-625-6366<NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-21
업체명카테고리명필지고유번호시도명시군구명읍면동명리명번지법정동코드행정동코드도로명코드도로명도로명상세경도위도폐업여부전화번호홈페이지주소주차가능여부화장실유무화장실타입수유실유무물품보관함유무유아거치대유무휠체어이동가능여부점자유도로유무등록일자
27621정송기와 동래본점음식점/유흥시설2626010200102210000부산광역시동래구안락동<NA>221-5726260102002626075000262603130018온천천로469-2129.1043535.191422N051-531-9888http://naver.me/x9JI3tUiNY구분,내부NNNNN2021-10-18
2373용금옥심음식점/유흥시설2644010400132500000부산광역시강서구명지동<NA>3250-1826440104002644054500264404208340명지오션시티8로12번길6128.91115235.087531N051-294-4417http://naver.me/FFvOBJbXYY공용,내부NNNNN2021-09-30
38005변상은메기탕추어탕음식점/유흥시설2623010100103330000부산광역시부산진구양정동<NA>333-626230101002623057000262303129044연수로9129.0722835.173518N051-862-6402http://naver.me/F1IE780FNY구분,내부NNNYN2021-10-22
22112미스코다리미스터황태 부산좌천점음식점/유흥시설2617010300108120000부산광역시동구좌천동<NA>812-526170103002617064500261704181007고관로153번길7129.04955435.131486N051-900-1633http://misskodari.comNY구분,내부NNNNN2021-10-22
28195와떡볶이음식점/유흥시설2626010800102120000부산광역시동래구온천동<NA>212-726260108002626055000262603130001금강공원로24129.08209335.219058Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-25
23257떡통령의 빨간철가방음식점/유흥시설2617010100110430000부산광역시동구초량동<NA>1043-826170101002617051000261703006002초량중로49129.03781835.116342N<NA>http://naver.me/FPsPUwPkYN<NA>NNNNN2021-08-30
1516소도둑음식점/유흥시설2644010400134120000부산광역시강서구명지동<NA>3412-626440104002644053500264403350868명지국제8로246128.9196235.097739N051-994-8222www.ybksododuk.co.krYY구분,내부NNNNN2021-10-21
34371리르빠음식점/유흥시설2623010300101680000부산광역시부산진구부전동<NA>168-37426230103002623052000262304187685동천로85번길14-7129.06142835.156597N<NA>http://instagram.com/lirpa_publichouseNY구분,내부NNNNN2021-09-28
13212금빛산오징어음식점/유흥시설2671025627107400000부산광역시기장군정관읍모전리740-926710256272671025600267104220092모전1길6-37129.16613235.334823Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-28
30921푸짐한집음식점/유흥시설2623011100100250000부산광역시부산진구개금동<NA>25-1026230111002623076000262303129002개금본동로20129.02457235.159188Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-29

Duplicate rows

Most frequently occurring

업체명카테고리명필지고유번호시도명시군구명읍면동명리명번지법정동코드행정동코드도로명코드도로명도로명상세경도위도폐업여부전화번호홈페이지주소주차가능여부화장실유무화장실타입수유실유무물품보관함유무유아거치대유무휠체어이동가능여부점자유도로유무등록일자# duplicates
01번가대패음식점/유흥시설2623011100103790000부산광역시부산진구개금동<NA>379-426230111002623076000262304187073개금본동로23번길30129.02296635.158544N051-893-1798http://naver.me/Fye0FjKuNY공용,내부NNNNN2021-10-222
1valentine음식점/유흥시설2623010300102330000부산광역시부산진구부전동<NA>233-1326230103002623052000262304187521신천대로62번길49129.05830435.153015N<NA>https://www.instagram.com/valentine_cafeNY구분,내부NNNNN2021-11-022
2남산칼국수음식점/유흥시설2641010400100930000부산광역시금정구남산동<NA>93-126410104002641067000264103130022금강로700129.08929535.269832N051-582-3048http://naver.me/FU30ZPHeNY구분,외부NNNYN2021-10-072
3맛있는인생음식점/유흥시설2623011100108340000부산광역시부산진구개금동<NA>83426230111002623074000262304187115냉정로178번길9129.01950135.14941N<NA>http://naver.me/5JJzoBeUNN<NA>NNNNN2021-10-082
4변상은메기탕추어탕음식점/유흥시설2623010100103330000부산광역시부산진구양정동<NA>333-626230101002623057000262303129044연수로9129.0722835.173518N051-862-6402http://naver.me/F1IE780FNY구분,내부NNNYN2021-10-222
5비포레스트음식점/유흥시설2623011000103430000부산광역시부산진구가야동<NA>343-3326230110002623071000262304187158대학로36번길10129.03547335.152585N<NA>http://naver.me/FfMBsGK7YY구분,내부NNNNN2021-10-262
6와플칸 가야점음식점/유흥시설2623011000100500000부산광역시부산진구가야동<NA>50-3026230110002623071000262302006015가야대로633129.04106135.155811N051-930-9999http://instagram.com/wafflekhan_gayaNN<NA>NNNNN2021-10-212
7우마이마루음식점/유흥시설2623010900101770000부산광역시부산진구당감동<NA>177-126230109002623067000262303129006당감로17129.03981135.161982N070-8773-5759http://naver.me/GVAagABeYY공용,외부NNNNN2021-10-152
8임가네돈음식점/유흥시설2623010900103480000부산광역시부산진구당감동<NA>348-3026230109002623070000262303129016백양순환로13129.03296635.165991N<NA>http://naver.me/FjojABpnYY공용,내부NNNNN2021-10-182
9종가집칼국수음식점/유흥시설2623010400108450000부산광역시부산진구범천동<NA>845-626230104002623077000262304187352범일로154번길28129.06093435.143599N051-638-7888http://naver.me/GZAetgI7NY공용,내부NNNYN2021-10-072