Overview

Dataset statistics

Number of variables27
Number of observations1874
Missing cells3718
Missing cells (%)7.3%
Duplicate rows3
Duplicate rows (%)0.2%
Total size in memory406.4 KiB
Average record size in memory222.1 B

Variable types

Text7
Categorical5
Numeric6
Boolean8
DateTime1

Dataset

Description부산지역 관광시설분야 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/15096733/fileData.do

Alerts

시도명 has constant value ""Constant
Dataset has 3 (0.2%) duplicate rowsDuplicates
카테고리명 is highly imbalanced (64.2%)Imbalance
리명 is highly imbalanced (87.7%)Imbalance
화장실타입 is highly imbalanced (53.3%)Imbalance
수유실유무 is highly imbalanced (89.7%)Imbalance
유아거치대유무 is highly imbalanced (96.4%)Imbalance
점자유도로유무 is highly imbalanced (93.9%)Imbalance
도로명코드 has 200 (10.7%) missing valuesMissing
도로명 has 182 (9.7%) missing valuesMissing
도로명상세 has 182 (9.7%) missing valuesMissing
전화번호 has 599 (32.0%) missing valuesMissing
홈페이지주소 has 327 (17.4%) missing valuesMissing
주차가능여부 has 319 (17.0%) missing valuesMissing
화장실유무 has 318 (17.0%) missing valuesMissing
수유실유무 has 319 (17.0%) missing valuesMissing
물품보관함유무 has 318 (17.0%) missing valuesMissing
유아거치대유무 has 318 (17.0%) missing valuesMissing
휠체어이동가능여부 has 318 (17.0%) missing valuesMissing
점자유도로유무 has 318 (17.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:38:30.392774
Analysis finished2023-12-12 13:38:31.605666
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct1520
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2023-12-12T22:38:31.801429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length5.7529349
Min length2

Characters and Unicode

Total characters10781
Distinct characters604
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

Unique1298 ?
Unique (%)69.3%

Sample

1st row버블스포츠
2nd row제일낚시터
3rd row강동에이스배트민턴전용구장
4th row강서해수랜드
5th row강서해수온천
ValueCountFrequency (%)
현대탕 10
 
0.5%
청수탕 9
 
0.5%
양지탕 9
 
0.5%
평화탕 9
 
0.5%
산수탕 8
 
0.4%
장수탕 7
 
0.4%
약수탕 7
 
0.4%
사우나 7
 
0.4%
금호탕 6
 
0.3%
만수탕 6
 
0.3%
Other values (1570) 1891
96.0%
2023-12-12T22:38:32.260873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 697
 
6.5%
스 275
 
2.6%
수 241
 
2.2%
대 228
 
2.1%
장 208
 
1.9%
사 190
 
1.8%
목 188
 
1.7%
이 176
 
1.6%
산 169
 
1.6%
천 160
 
1.5%
Other values (594) 8249
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10442
96.9%
Uppercase Letter 137
 
1.3%
Space Separator 96
 
0.9%
Decimal Number 77
 
0.7%
Lowercase Letter 10
 
0.1%
Other Punctuation 7
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 697
 
6.7%
스 275
 
2.6%
수 241
 
2.3%
대 228
 
2.2%
장 208
 
2.0%
사 190
 
1.8%
목 188
 
1.8%
이 176
 
1.7%
산 169
 
1.6%
천 160
 
1.5%
Other values (550) 7910
75.8%
Uppercase Letter
ValueCountFrequency (%)
C 22
16.1%
B 11
 
8.0%
N 9
 
6.6%
O 9
 
6.6%
E 9
 
6.6%
S 8
 
5.8%
J 8
 
5.8%
A 8
 
5.8%
I 7
 
5.1%
G 7
 
5.1%
Other values (13) 39
28.5%
Decimal Number
ValueCountFrequency (%)
1 17
22.1%
2 17
22.1%
4 17
22.1%
3 10
13.0%
0 7
9.1%
8 4
 
5.2%
9 2
 
2.6%
6 2
 
2.6%
5 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
h 2
20.0%
l 2
20.0%
e 1
10.0%
o 1
10.0%
y 1
10.0%
a 1
10.0%
c 1
10.0%
t 1
10.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Other Punctuation
ValueCountFrequency (%)
& 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10442
96.9%
Common 192
 
1.8%
Latin 147
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 697
 
6.7%
스 275
 
2.6%
수 241
 
2.3%
대 228
 
2.2%
장 208
 
2.0%
사 190
 
1.8%
목 188
 
1.8%
이 176
 
1.7%
산 169
 
1.6%
천 160
 
1.5%
Other values (550) 7910
75.8%
Latin
ValueCountFrequency (%)
C 22
15.0%
B 11
 
7.5%
N 9
 
6.1%
O 9
 
6.1%
E 9
 
6.1%
S 8
 
5.4%
J 8
 
5.4%
A 8
 
5.4%
I 7
 
4.8%
G 7
 
4.8%
Other values (21) 49
33.3%
Common
ValueCountFrequency (%)
96
50.0%
1 17
 
8.9%
2 17
 
8.9%
4 17
 
8.9%
3 10
 
5.2%
0 7
 
3.6%
& 7
 
3.6%
) 6
 
3.1%
( 6
 
3.1%
8 4
 
2.1%
Other values (3) 5
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10442
96.9%
ASCII 339
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 697
 
6.7%
스 275
 
2.6%
수 241
 
2.3%
대 228
 
2.2%
장 208
 
2.0%
사 190
 
1.8%
목 188
 
1.8%
이 176
 
1.7%
산 169
 
1.6%
천 160
 
1.5%
Other values (550) 7910
75.8%
ASCII
ValueCountFrequency (%)
96
28.3%
C 22
 
6.5%
1 17
 
5.0%
2 17
 
5.0%
4 17
 
5.0%
B 11
 
3.2%
3 10
 
2.9%
N 9
 
2.7%
O 9
 
2.7%
E 9
 
2.7%
Other values (34) 122
36.0%

카테고리명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
레저/체육/공원
1477 
문화관광/명소
371 
종교
 
21
주요건물기타
 
3
지명
 
2

Length

Max length8
Median length8
Mean length7.7251868
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row레저/체육/공원
2nd row레저/체육/공원
3rd row레저/체육/공원
4th row레저/체육/공원
5th row레저/체육/공원

Common Values

ValueCountFrequency (%)
레저/체육/공원 1477
78.8%
문화관광/명소 371
 
19.8%
종교 21
 
1.1%
주요건물기타 3
 
0.2%
지명 2
 
0.1%

Length

2023-12-12T22:38:32.421355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:38:32.547892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
레저/체육/공원 1477
78.8%
문화관광/명소 371
 
19.8%
종교 21
 
1.1%
주요건물기타 3
 
0.2%
지명 2
 
0.1%

필지고유번호
Real number (ℝ)

Distinct1346
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6345155 × 1018
Minimum2.6110101 × 1018
Maximum2.671033 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2023-12-12T22:38:32.679880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6110101 × 1018
5-th percentile2.6110141 × 1018
Q12.6230108 × 1018
median2.6350104 × 1018
Q32.6440101 × 1018
95-th percentile2.671025 × 1018
Maximum2.671033 × 1018
Range6.0022931 × 1016
Interquartile range (IQR)2.0999275 × 1016

Descriptive statistics

Standard deviation1.4734353 × 1016
Coefficient of variation (CV)0.0055928133
Kurtosis0.28021606
Mean2.6345155 × 1018
Median Absolute Deviation (MAD)9.0003 × 1015
Skewness0.66655096
Sum-6.6454357 × 1018
Variance2.1710116 × 1032
MonotonicityNot monotonic
2023-12-12T22:38:32.846521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2635010500113930000 43
 
2.3%
2641010100116410000 8
 
0.4%
2635010500114950000 8
 
0.4%
2623010300105730000 7
 
0.4%
2650010500101480000 7
 
0.4%
2611013000100560000 7
 
0.4%
2623010300101680000 7
 
0.4%
2635010400110520000 6
 
0.3%
2635010600114110000 6
 
0.3%
2641010700102030000 6
 
0.3%
Other values (1336) 1769
94.4%
ValueCountFrequency (%)
2611010100100710000 2
0.1%
2611010100100910000 1
0.1%
2611010100102400000 1
0.1%
2611010100102770000 2
0.1%
2611010100102920000 1
0.1%
2611010100103240000 2
0.1%
2611010100105260000 1
0.1%
2611010100106360000 1
0.1%
2611010100107420000 2
0.1%
2611010500100210000 1
0.1%
ValueCountFrequency (%)
2671033031101780000 1
0.1%
2671033028200800000 1
0.1%
2671033027200990000 1
0.1%
2671033026105660000 1
0.1%
2671033025202920000 1
0.1%
2671033025106850000 1
0.1%
2671033025102430000 1
0.1%
2671033025100260000 1
0.1%
2671033024105880000 2
0.1%
2671033022201800000 1
0.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
부산광역시
1874 

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 1874
100.0%

Length

2023-12-12T22:38:33.023791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:38:33.132514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 1874
100.0%

시군구명
Categorical

Distinct16
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
해운대구
268 
부산진구
183 
동래구
131 
사하구
129 
남구
126 
Other values (11)
1037 

Length

Max length4
Median length3
Mean length2.97492
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해운대구 268
14.3%
부산진구 183
 
9.8%
동래구 131
 
7.0%
사하구 129
 
6.9%
남구 126
 
6.7%
금정구 119
 
6.4%
기장군 119
 
6.4%
북구 109
 
5.8%
수영구 103
 
5.5%
중구 96
 
5.1%
Other values (6) 491
26.2%

Length

2023-12-12T22:38:33.277101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해운대구 268
14.3%
부산진구 183
 
9.8%
동래구 131
 
7.0%
사하구 129
 
6.9%
남구 126
 
6.7%
금정구 119
 
6.4%
기장군 119
 
6.4%
북구 109
 
5.8%
수영구 103
 
5.5%
중구 96
 
5.1%
Other values (6) 491
26.2%

읍면동명
Text

Distinct165
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2023-12-12T22:38:33.633909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0923159
Min length2

Characters and Unicode

Total characters5795
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

Unique30 ?
Unique (%)1.6%

Sample

1st row강동동
2nd row강동동
3rd row강동동
4th row강동동
5th row강동동
ValueCountFrequency (%)
우동 105
 
5.6%
연산동 62
 
3.3%
중동 53
 
2.8%
기장읍 46
 
2.5%
대연동 45
 
2.4%
부전동 43
 
2.3%
온천동 42
 
2.2%
구포동 36
 
1.9%
초량동 34
 
1.8%
다대동 32
 
1.7%
Other values (155) 1376
73.4%
2023-12-12T22:38:34.156580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1809
31.2%
가 168
 
2.9%
대 143
 
2.5%
천 133
 
2.3%
장 120
 
2.1%
연 114
 
2.0%
부 111
 
1.9%
우 110
 
1.9%
전 103
 
1.8%
읍 100
 
1.7%
Other values (108) 2884
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5614
96.9%
Decimal Number 181
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1809
32.2%
가 168
 
3.0%
대 143
 
2.5%
천 133
 
2.4%
장 120
 
2.1%
연 114
 
2.0%
부 111
 
2.0%
우 110
 
2.0%
전 103
 
1.8%
읍 100
 
1.8%
Other values (101) 2703
48.1%
Decimal Number
ValueCountFrequency (%)
2 56
30.9%
1 52
28.7%
3 33
18.2%
4 21
 
11.6%
5 11
 
6.1%
6 6
 
3.3%
7 2
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5614
96.9%
Common 181
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1809
32.2%
가 168
 
3.0%
대 143
 
2.5%
천 133
 
2.4%
장 120
 
2.1%
연 114
 
2.0%
부 111
 
2.0%
우 110
 
2.0%
전 103
 
1.8%
읍 100
 
1.8%
Other values (101) 2703
48.1%
Common
ValueCountFrequency (%)
2 56
30.9%
1 52
28.7%
3 33
18.2%
4 21
 
11.6%
5 11
 
6.1%
6 6
 
3.3%
7 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5614
96.9%
ASCII 181
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1809
32.2%
가 168
 
3.0%
대 143
 
2.5%
천 133
 
2.4%
장 120
 
2.1%
연 114
 
2.0%
부 111
 
2.0%
우 110
 
2.0%
전 103
 
1.8%
읍 100
 
1.8%
Other values (101) 2703
48.1%
ASCII
ValueCountFrequency (%)
2 56
30.9%
1 52
28.7%
3 33
18.2%
4 21
 
11.6%
5 11
 
6.1%
6 6
 
3.3%
7 2
 
1.1%

리명
Categorical

IMBALANCE 

Distinct42
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
<NA>
1755 
매학리
 
8
시랑리
 
8
청강리
 
7
연화리
 
6
Other values (37)
 
90

Length

Max length4
Median length4
Mean length3.9327641
Min length2

Unique

Unique11 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1755
93.6%
매학리 8
 
0.4%
시랑리 8
 
0.4%
청강리 7
 
0.4%
연화리 6
 
0.3%
장전리 5
 
0.3%
대라리 5
 
0.3%
칠암리 4
 
0.2%
삼성리 4
 
0.2%
죽성리 4
 
0.2%
Other values (32) 68
 
3.6%

Length

2023-12-12T22:38:34.328442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1755
93.6%
시랑리 8
 
0.4%
매학리 8
 
0.4%
청강리 7
 
0.4%
연화리 6
 
0.3%
장전리 5
 
0.3%
대라리 5
 
0.3%
이천리 4
 
0.2%
웅천리 4
 
0.2%
동부리 4
 
0.2%
Other values (32) 68
 
3.6%

번지
Text

Distinct1395
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2023-12-12T22:38:34.709402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.9578442
Min length1

Characters and Unicode

Total characters9291
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

Unique1085 ?
Unique (%)57.9%

Sample

1st row939
2nd row193-3
3rd row2925-16
4th row1648
5th row1648
ValueCountFrequency (%)
1393 43
 
2.3%
1495 8
 
0.4%
1641 8
 
0.4%
573-1 8
 
0.4%
1 7
 
0.4%
56-4 7
 
0.4%
203-5 6
 
0.3%
1052-47 5
 
0.3%
51-1 5
 
0.3%
2287-2 5
 
0.3%
Other values (1385) 1772
94.6%
2023-12-12T22:38:35.309719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1652
17.8%
- 1459
15.7%
2 945
10.2%
3 924
9.9%
4 790
8.5%
5 734
7.9%
7 610
 
6.6%
9 568
 
6.1%
6 546
 
5.9%
0 494
 
5.3%
Other values (2) 569
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7752
83.4%
Dash Punctuation 1459
 
15.7%
Other Letter 80
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1652
21.3%
2 945
12.2%
3 924
11.9%
4 790
10.2%
5 734
9.5%
7 610
 
7.9%
9 568
 
7.3%
6 546
 
7.0%
0 494
 
6.4%
8 489
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 1459
100.0%
Other Letter
ValueCountFrequency (%)
산 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9211
99.1%
Hangul 80
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1652
17.9%
- 1459
15.8%
2 945
10.3%
3 924
10.0%
4 790
8.6%
5 734
8.0%
7 610
 
6.6%
9 568
 
6.2%
6 546
 
5.9%
0 494
 
5.4%
Hangul
ValueCountFrequency (%)
산 80
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9211
99.1%
Hangul 80
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1652
17.9%
- 1459
15.8%
2 945
10.3%
3 924
10.0%
4 790
8.6%
5 734
8.0%
7 610
 
6.6%
9 568
 
6.2%
6 546
 
5.9%
0 494
 
5.4%
Hangul
ValueCountFrequency (%)
산 80
100.0%

법정동코드
Real number (ℝ)

Distinct202
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6345267 × 109
Minimum2.6110101 × 109
Maximum2.671033 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2023-12-12T22:38:35.484805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6110101 × 109
5-th percentile2.6110141 × 109
Q12.6230108 × 109
median2.6350104 × 109
Q32.6440101 × 109
95-th percentile2.671025 × 109
Maximum2.671033 × 109
Range60022931
Interquartile range (IQR)20999275

Descriptive statistics

Standard deviation14735869
Coefficient of variation (CV)0.0055933649
Kurtosis0.27705475
Mean2.6345267 × 109
Median Absolute Deviation (MAD)9000300
Skewness0.66448969
Sum4.937103 × 1012
Variance2.1714583 × 1014
MonotonicityNot monotonic
2023-12-12T22:38:35.649036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2635010500 105
 
5.6%
2647010200 62
 
3.3%
2635010600 53
 
2.8%
2629010600 45
 
2.4%
2623010300 43
 
2.3%
2626010800 42
 
2.2%
2632010500 36
 
1.9%
2617010100 34
 
1.8%
2638010600 32
 
1.7%
2650010400 31
 
1.7%
Other values (192) 1391
74.2%
ValueCountFrequency (%)
2611010100 13
0.7%
2611010500 1
 
0.1%
2611010600 1
 
0.1%
2611010700 6
0.3%
2611010900 2
 
0.1%
2611011000 2
 
0.1%
2611011200 1
 
0.1%
2611011300 2
 
0.1%
2611011500 1
 
0.1%
2611011600 1
 
0.1%
ValueCountFrequency (%)
2671033031 1
 
0.1%
2671033028 1
 
0.1%
2671033027 1
 
0.1%
2671033026 1
 
0.1%
2671033025 4
0.2%
2671033024 2
 
0.1%
2671033022 5
0.3%
2671033021 1
 
0.1%
2671031033 2
 
0.1%
2671031030 1
 
0.1%

행정동코드
Real number (ℝ)

Distinct204
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6345729 × 109
Minimum2.611051 × 109
Maximum2.671033 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2023-12-12T22:38:35.817711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.611051 × 109
5-th percentile2.61106 × 109
Q12.623068 × 109
median2.635052 × 109
Q32.644051 × 109
95-th percentile2.671025 × 109
Maximum2.671033 × 109
Range59982000
Interquartile range (IQR)20983000

Descriptive statistics

Standard deviation14729598
Coefficient of variation (CV)0.0055908867
Kurtosis0.2708978
Mean2.6345729 × 109
Median Absolute Deviation (MAD)9003000
Skewness0.6622039
Sum4.9371896 × 1012
Variance2.1696107 × 1014
MonotonicityNot monotonic
2023-12-12T22:38:35.980130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2635052500 53
 
2.8%
2671025000 46
 
2.5%
2635053000 38
 
2.0%
2611057000 34
 
1.8%
2623052000 29
 
1.5%
2635052000 27
 
1.4%
2635051000 26
 
1.4%
2626055000 25
 
1.3%
2638060100 24
 
1.3%
2650080000 24
 
1.3%
Other values (194) 1548
82.6%
ValueCountFrequency (%)
2611051000 12
 
0.6%
2611052000 4
 
0.2%
2611053000 2
 
0.1%
2611054500 4
 
0.2%
2611056000 14
0.7%
2611057000 34
1.8%
2611058000 13
 
0.7%
2611059000 3
 
0.2%
2611060000 10
 
0.5%
2614051000 3
 
0.2%
ValueCountFrequency (%)
2671033000 16
 
0.9%
2671031000 17
 
0.9%
2671025600 20
1.1%
2671025300 20
1.1%
2671025000 46
2.5%
2653068000 9
 
0.5%
2653067000 6
 
0.3%
2653066100 4
 
0.2%
2653066000 6
 
0.3%
2653065000 5
 
0.3%

도로명코드
Real number (ℝ)

MISSING 

Distinct912
Distinct (%)54.5%
Missing200
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean2.6343887 × 1011
Minimum2.61102 × 1011
Maximum2.6710422 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2023-12-12T22:38:36.162347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.61102 × 1011
5-th percentile2.6140301 × 1011
Q12.6230419 × 1011
median2.6350313 × 1011
Q32.6410421 × 1011
95-th percentile2.6710201 × 1011
Maximum2.6710422 × 1011
Range6.0022204 × 109
Interquartile range (IQR)1.800018 × 109

Descriptive statistics

Standard deviation1.4129438 × 109
Coefficient of variation (CV)0.0053634599
Kurtosis0.37202313
Mean2.6343887 × 1011
Median Absolute Deviation (MAD)9.0021786 × 108
Skewness0.66265897
Sum4.4099666 × 1014
Variance1.9964102 × 1018
MonotonicityNot monotonic
2023-12-12T22:38:36.361415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263503133043 68
 
3.6%
265003138005 14
 
0.7%
262003006003 12
 
0.6%
264703129045 10
 
0.5%
263803134007 10
 
0.5%
261103125006 10
 
0.5%
263502006010 10
 
0.5%
263503133039 9
 
0.5%
265303132023 9
 
0.5%
265302006008 9
 
0.5%
Other values (902) 1513
80.7%
(Missing) 200
 
10.7%
ValueCountFrequency (%)
261102000010 1
 
0.1%
261102006001 1
 
0.1%
261102006003 1
 
0.1%
261103006003 2
 
0.1%
261103006005 5
0.3%
261103125001 3
0.2%
261103125002 3
0.2%
261103125003 3
0.2%
261103125004 3
0.2%
261103125005 2
 
0.1%
ValueCountFrequency (%)
267104220365 1
 
0.1%
267104220364 1
 
0.1%
267104220333 1
 
0.1%
267104220329 3
0.2%
267104220326 1
 
0.1%
267104220324 1
 
0.1%
267104220322 1
 
0.1%
267104220311 1
 
0.1%
267104220238 2
0.1%
267104220234 1
 
0.1%

도로명
Text

MISSING 

Distinct890
Distinct (%)52.6%
Missing182
Missing (%)9.7%
Memory size14.8 KiB
2023-12-12T22:38:36.694216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.7399527
Min length3

Characters and Unicode

Total characters9712
Distinct characters249
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

Unique566 ?
Unique (%)33.5%

Sample

1st row낙동북로73번가길
2nd row제도로
3rd row제도로
4th row제도로
5th row제도로1041번가길
ValueCountFrequency (%)
해운대해변로 69
 
4.1%
광안해변로 14
 
0.8%
태종로 14
 
0.8%
중앙대로 14
 
0.8%
가야대로 12
 
0.7%
수영로 12
 
0.7%
망양로 12
 
0.7%
금강로 11
 
0.7%
백양대로 11
 
0.7%
해운대로 10
 
0.6%
Other values (880) 1513
89.4%
2023-12-12T22:38:37.151592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 1581
 
16.3%
길 818
 
8.4%
번 719
 
7.4%
1 390
 
4.0%
대 386
 
4.0%
2 263
 
2.7%
3 250
 
2.6%
해 225
 
2.3%
동 161
 
1.7%
4 148
 
1.5%
Other values (239) 4771
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7810
80.4%
Decimal Number 1866
 
19.2%
Uppercase Letter 36
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1581
20.2%
길 818
 
10.5%
번 719
 
9.2%
대 386
 
4.9%
해 225
 
2.9%
동 161
 
2.1%
변 117
 
1.5%
중 106
 
1.4%
천 103
 
1.3%
운 97
 
1.2%
Other values (225) 3497
44.8%
Decimal Number
ValueCountFrequency (%)
1 390
20.9%
2 263
14.1%
3 250
13.4%
4 148
 
7.9%
5 143
 
7.7%
7 140
 
7.5%
9 137
 
7.3%
6 137
 
7.3%
0 134
 
7.2%
8 124
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
E 9
25.0%
P 9
25.0%
C 9
25.0%
A 9
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7810
80.4%
Common 1866
 
19.2%
Latin 36
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1581
20.2%
길 818
 
10.5%
번 719
 
9.2%
대 386
 
4.9%
해 225
 
2.9%
동 161
 
2.1%
변 117
 
1.5%
중 106
 
1.4%
천 103
 
1.3%
운 97
 
1.2%
Other values (225) 3497
44.8%
Common
ValueCountFrequency (%)
1 390
20.9%
2 263
14.1%
3 250
13.4%
4 148
 
7.9%
5 143
 
7.7%
7 140
 
7.5%
9 137
 
7.3%
6 137
 
7.3%
0 134
 
7.2%
8 124
 
6.6%
Latin
ValueCountFrequency (%)
E 9
25.0%
P 9
25.0%
C 9
25.0%
A 9
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7810
80.4%
ASCII 1902
 
19.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 1581
20.2%
길 818
 
10.5%
번 719
 
9.2%
대 386
 
4.9%
해 225
 
2.9%
동 161
 
2.1%
변 117
 
1.5%
중 106
 
1.4%
천 103
 
1.3%
운 97
 
1.2%
Other values (225) 3497
44.8%
ASCII
ValueCountFrequency (%)
1 390
20.5%
2 263
13.8%
3 250
13.1%
4 148
 
7.8%
5 143
 
7.5%
7 140
 
7.4%
9 137
 
7.2%
6 137
 
7.2%
0 134
 
7.0%
8 124
 
6.5%
Other values (4) 36
 
1.9%

도로명상세
Text

MISSING 

Distinct516
Distinct (%)30.5%
Missing182
Missing (%)9.7%
Memory size14.8 KiB
2023-12-12T22:38:37.630374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length2.53487
Min length1

Characters and Unicode

Total characters4289
Distinct characters18
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

Unique277 ?
Unique (%)16.4%

Sample

1st row200-5
2nd row814
3rd row965
4th row965
5th row335
ValueCountFrequency (%)
84 46
 
2.7%
20 28
 
1.7%
8 25
 
1.5%
17 24
 
1.4%
13 22
 
1.3%
16 21
 
1.2%
6 20
 
1.2%
21 20
 
1.2%
5 20
 
1.2%
51 20
 
1.2%
Other values (506) 1446
85.5%
2023-12-12T22:38:38.173723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 800
18.7%
2 550
12.8%
3 485
11.3%
4 418
9.7%
5 379
8.8%
8 307
 
7.2%
7 300
 
7.0%
6 298
 
6.9%
0 274
 
6.4%
9 240
 
5.6%
Other values (8) 238
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4051
94.5%
Dash Punctuation 229
 
5.3%
Other Letter 9
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 800
19.7%
2 550
13.6%
3 485
12.0%
4 418
10.3%
5 379
9.4%
8 307
 
7.6%
7 300
 
7.4%
6 298
 
7.4%
0 274
 
6.8%
9 240
 
5.9%
Other Letter
ValueCountFrequency (%)
지 2
22.2%
하 2
22.2%
서 1
11.1%
면 1
11.1%
로 1
11.1%
번 1
11.1%
길 1
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 229
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4280
99.8%
Hangul 9
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 800
18.7%
2 550
12.9%
3 485
11.3%
4 418
9.8%
5 379
8.9%
8 307
 
7.2%
7 300
 
7.0%
6 298
 
7.0%
0 274
 
6.4%
9 240
 
5.6%
Hangul
ValueCountFrequency (%)
지 2
22.2%
하 2
22.2%
서 1
11.1%
면 1
11.1%
로 1
11.1%
번 1
11.1%
길 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4280
99.8%
Hangul 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 800
18.7%
2 550
12.9%
3 485
11.3%
4 418
9.8%
5 379
8.9%
8 307
 
7.2%
7 300
 
7.0%
6 298
 
7.0%
0 274
 
6.4%
9 240
 
5.6%
Hangul
ValueCountFrequency (%)
지 2
22.2%
하 2
22.2%
서 1
11.1%
면 1
11.1%
로 1
11.1%
번 1
11.1%
길 1
11.1%

경도
Real number (ℝ)

Distinct1807
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06985
Minimum128.81506
Maximum129.28664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2023-12-12T22:38:38.356617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.81506
5-th percentile128.96408
Q1129.02351
median129.06865
Q3129.1127
95-th percentile129.19717
Maximum129.28664
Range0.4715782
Interquartile range (IQR)0.0891868

Descriptive statistics

Standard deviation0.072824488
Coefficient of variation (CV)0.00056422539
Kurtosis0.54866668
Mean129.06985
Median Absolute Deviation (MAD)0.0445132
Skewness-0.0012859372
Sum241876.91
Variance0.0053034061
MonotonicityNot monotonic
2023-12-12T22:38:38.520255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.141275 18
 
1.0%
129.1295233 5
 
0.3%
129.1350267 4
 
0.2%
129.1413472 3
 
0.2%
129.1070421 3
 
0.2%
129.1652644 3
 
0.2%
129.1758168 2
 
0.1%
129.1776778 2
 
0.1%
129.0433563 2
 
0.1%
129.0393286 2
 
0.1%
Other values (1797) 1830
97.7%
ValueCountFrequency (%)
128.815063 1
0.1%
128.8183055 1
0.1%
128.8217346 1
0.1%
128.8245125 1
0.1%
128.8260852 1
0.1%
128.8276549 1
0.1%
128.8310928 1
0.1%
128.8313965 1
0.1%
128.8320323 1
0.1%
128.8381881 1
0.1%
ValueCountFrequency (%)
129.2866412 1
0.1%
129.2854953 1
0.1%
129.2793275 1
0.1%
129.2769999 1
0.1%
129.2769997 1
0.1%
129.2666289 1
0.1%
129.2660446 1
0.1%
129.2646955 1
0.1%
129.2632954 1
0.1%
129.2626949 1
0.1%

위도
Real number (ℝ)

Distinct1811
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.164419
Minimum35.004036
Maximum35.381957
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2023-12-12T22:38:38.689477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.004036
5-th percentile35.080793
Q135.12254
median35.161202
Q335.199442
95-th percentile35.268452
Maximum35.381957
Range0.37792102
Interquartile range (IQR)0.076902593

Descriptive statistics

Standard deviation0.057832434
Coefficient of variation (CV)0.0016446293
Kurtosis0.61210951
Mean35.164419
Median Absolute Deviation (MAD)0.03854686
Skewness0.51777303
Sum65898.121
Variance0.0033445904
MonotonicityNot monotonic
2023-12-12T22:38:38.878665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.16028213 18
 
1.0%
35.16881789 5
 
0.3%
35.16578252 4
 
0.2%
35.15989473 3
 
0.2%
35.28912177 3
 
0.2%
35.1602357 3
 
0.2%
35.21304161 2
 
0.1%
35.17707311 2
 
0.1%
35.10297498 2
 
0.1%
35.16287952 2
 
0.1%
Other values (1801) 1830
97.7%
ValueCountFrequency (%)
35.00403634 1
0.1%
35.00560786 1
0.1%
35.01166699 1
0.1%
35.02258578 1
0.1%
35.03107712 1
0.1%
35.03782932 1
0.1%
35.03881922 1
0.1%
35.03974433 1
0.1%
35.04474317 1
0.1%
35.04521278 1
0.1%
ValueCountFrequency (%)
35.38195736 1
0.1%
35.374628 1
0.1%
35.37418738 1
0.1%
35.37171336 1
0.1%
35.36559267 1
0.1%
35.36426187 1
0.1%
35.3571428 1
0.1%
35.34478139 1
0.1%
35.34334033 1
0.1%
35.34234963 1
0.1%

폐업여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
False
1551 
True
323 
ValueCountFrequency (%)
False 1551
82.8%
True 323
 
17.2%
2023-12-12T22:38:39.319097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전화번호
Text

MISSING 

Distinct1045
Distinct (%)82.0%
Missing599
Missing (%)32.0%
Memory size14.8 KiB
2023-12-12T22:38:39.601629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.989804
Min length9

Characters and Unicode

Total characters15287
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

Unique852 ?
Unique (%)66.8%

Sample

1st row051-941-5556
2nd row051-971-3651
3rd row051-971-3651
4th row051-972-8133
5th row051-971-0194
ValueCountFrequency (%)
070-4801-6034 5
 
0.4%
051-554-5999 5
 
0.4%
1577-0880 4
 
0.3%
051-508-3122 4
 
0.3%
051-863-5033 3
 
0.2%
051-790-2300 3
 
0.2%
051-333-3500 3
 
0.2%
051-507-2007 3
 
0.2%
051-364-4127 3
 
0.2%
051-703-5918 3
 
0.2%
Other values (1035) 1239
97.2%
2023-12-12T22:38:40.100662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2536
16.6%
0 2427
15.9%
5 2239
14.6%
1 2089
13.7%
2 1092
7.1%
7 929
 
6.1%
3 887
 
5.8%
4 867
 
5.7%
6 828
 
5.4%
8 822
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12751
83.4%
Dash Punctuation 2536
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2427
19.0%
5 2239
17.6%
1 2089
16.4%
2 1092
8.6%
7 929
 
7.3%
3 887
 
7.0%
4 867
 
6.8%
6 828
 
6.5%
8 822
 
6.4%
9 571
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 2536
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15287
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2536
16.6%
0 2427
15.9%
5 2239
14.6%
1 2089
13.7%
2 1092
7.1%
7 929
 
6.1%
3 887
 
5.8%
4 867
 
5.7%
6 828
 
5.4%
8 822
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2536
16.6%
0 2427
15.9%
5 2239
14.6%
1 2089
13.7%
2 1092
7.1%
7 929
 
6.1%
3 887
 
5.8%
4 867
 
5.7%
6 828
 
5.4%
8 822
 
5.4%

홈페이지주소
Text

MISSING 

Distinct1365
Distinct (%)88.2%
Missing327
Missing (%)17.4%
Memory size14.8 KiB
2023-12-12T22:38:40.393456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length140
Median length24
Mean length26.7117
Min length6

Characters and Unicode

Total characters41323
Distinct characters99
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

Unique1206 ?
Unique (%)78.0%

Sample

1st rowhttp://naver.me/GKojtose
2nd rowhttp://naver.me/5B1lD1Lj
3rd rowhttp://naver.me/xFpOiiNb
4th rowhttp://naver.me/5CzsaJQc
5th rowhttp://naver.me/GEACJOfa
ValueCountFrequency (%)
http://www.gspa.co.kr 5
 
0.3%
https://www.spo1.or.kr 4
 
0.3%
http://www.beomeo.kr 4
 
0.3%
http://www.spo1.or.kr 4
 
0.3%
http://blog.naver.com/tepasa1 3
 
0.2%
https://www.bluelinepark.com 3
 
0.2%
http://naver.me/56iwcj0q 3
 
0.2%
http://naver.me/gxoced56 3
 
0.2%
http://naver.me/xuihv4b2 3
 
0.2%
http://tlx.co.kr/center/detail/fc00792 3
 
0.2%
Other values (1356) 1513
97.7%
2023-12-12T22:38:40.943921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 4713
 
11.4%
t 3550
 
8.6%
e 3026
 
7.3%
. 2046
 
5.0%
a 1960
 
4.7%
r 1848
 
4.5%
p 1846
 
4.5%
h 1809
 
4.4%
n 1741
 
4.2%
m 1675
 
4.1%
Other values (89) 17109
41.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 25744
62.3%
Other Punctuation 8455
 
20.5%
Uppercase Letter 4443
 
10.8%
Decimal Number 2453
 
5.9%
Connector Punctuation 92
 
0.2%
Math Symbol 73
 
0.2%
Dash Punctuation 33
 
0.1%
Other Letter 26
 
0.1%
Space Separator 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 3550
13.8%
e 3026
11.8%
a 1960
 
7.6%
r 1848
 
7.2%
p 1846
 
7.2%
h 1809
 
7.0%
n 1741
 
6.8%
m 1675
 
6.5%
v 1426
 
5.5%
o 909
 
3.5%
Other values (16) 5954
23.1%
Uppercase Letter
ValueCountFrequency (%)
G 415
 
9.3%
F 412
 
9.3%
I 213
 
4.8%
D 174
 
3.9%
P 173
 
3.9%
B 167
 
3.8%
E 166
 
3.7%
J 164
 
3.7%
K 163
 
3.7%
C 161
 
3.6%
Other values (16) 2235
50.3%
Other Letter
ValueCountFrequency (%)
터 2
 
7.7%
매 1
 
3.8%
할 1
 
3.8%
아 1
 
3.8%
센 1
 
3.8%
츠 1
 
3.8%
포 1
 
3.8%
스 1
 
3.8%
지 1
 
3.8%
이 1
 
3.8%
Other values (15) 15
57.7%
Decimal Number
ValueCountFrequency (%)
0 448
18.3%
5 443
18.1%
1 288
11.7%
2 241
9.8%
4 198
8.1%
3 195
7.9%
8 172
 
7.0%
6 166
 
6.8%
9 158
 
6.4%
7 144
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 4713
55.7%
. 2046
24.2%
: 1542
 
18.2%
% 64
 
0.8%
? 42
 
0.5%
& 31
 
0.4%
, 16
 
0.2%
# 1
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 92
100.0%
Math Symbol
ValueCountFrequency (%)
= 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30187
73.1%
Common 11110
 
26.9%
Hangul 26
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 3550
 
11.8%
e 3026
 
10.0%
a 1960
 
6.5%
r 1848
 
6.1%
p 1846
 
6.1%
h 1809
 
6.0%
n 1741
 
5.8%
m 1675
 
5.5%
v 1426
 
4.7%
o 909
 
3.0%
Other values (42) 10397
34.4%
Hangul
ValueCountFrequency (%)
터 2
 
7.7%
매 1
 
3.8%
할 1
 
3.8%
아 1
 
3.8%
센 1
 
3.8%
츠 1
 
3.8%
포 1
 
3.8%
스 1
 
3.8%
지 1
 
3.8%
이 1
 
3.8%
Other values (15) 15
57.7%
Common
ValueCountFrequency (%)
/ 4713
42.4%
. 2046
18.4%
: 1542
 
13.9%
0 448
 
4.0%
5 443
 
4.0%
1 288
 
2.6%
2 241
 
2.2%
4 198
 
1.8%
3 195
 
1.8%
8 172
 
1.5%
Other values (12) 824
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41297
99.9%
Hangul 26
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 4713
 
11.4%
t 3550
 
8.6%
e 3026
 
7.3%
. 2046
 
5.0%
a 1960
 
4.7%
r 1848
 
4.5%
p 1846
 
4.5%
h 1809
 
4.4%
n 1741
 
4.2%
m 1675
 
4.1%
Other values (64) 17083
41.4%
Hangul
ValueCountFrequency (%)
터 2
 
7.7%
매 1
 
3.8%
할 1
 
3.8%
아 1
 
3.8%
센 1
 
3.8%
츠 1
 
3.8%
포 1
 
3.8%
스 1
 
3.8%
지 1
 
3.8%
이 1
 
3.8%
Other values (15) 15
57.7%

주차가능여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing319
Missing (%)17.0%
Memory size3.8 KiB
True
812 
False
743 
(Missing)
319 
ValueCountFrequency (%)
True 812
43.3%
False 743
39.6%
(Missing) 319
 
17.0%
2023-12-12T22:38:41.105571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실유무
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing318
Missing (%)17.0%
Memory size3.8 KiB
True
1276 
False
280 
(Missing)
318 
ValueCountFrequency (%)
True 1276
68.1%
False 280
 
14.9%
(Missing) 318
 
17.0%
2023-12-12T22:38:41.216370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실타입
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
구분,내부
1053 
<NA>
599 
구분,외부
140 
공용,내부
 
35
공용,외부
 
32
Other values (5)
 
15

Length

Max length8
Median length5
Mean length4.6691569
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
구분,내부 1053
56.2%
<NA> 599
32.0%
구분,외부 140
 
7.5%
공용,내부 35
 
1.9%
공용,외부 32
 
1.7%
구분 8
 
0.4%
내부 3
 
0.2%
구분,외부,내부 2
 
0.1%
공용,구분,내부 1
 
0.1%
공용,외부,내부 1
 
0.1%

Length

2023-12-12T22:38:41.362818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:38:41.523332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구분,내부 1053
56.2%
na 599
32.0%
구분,외부 140
 
7.5%
공용,내부 35
 
1.9%
공용,외부 32
 
1.7%
구분 8
 
0.4%
내부 3
 
0.2%
구분,외부,내부 2
 
0.1%
공용,구분,내부 1
 
0.1%
공용,외부,내부 1
 
0.1%

수유실유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing319
Missing (%)17.0%
Memory size3.8 KiB
False
1534 
True
 
21
(Missing)
319 
ValueCountFrequency (%)
False 1534
81.9%
True 21
 
1.1%
(Missing) 319
 
17.0%
2023-12-12T22:38:41.684093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

물품보관함유무
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing318
Missing (%)17.0%
Memory size3.8 KiB
False
850 
True
706 
(Missing)
318 
ValueCountFrequency (%)
False 850
45.4%
True 706
37.7%
(Missing) 318
 
17.0%
2023-12-12T22:38:41.782780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

유아거치대유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing318
Missing (%)17.0%
Memory size3.8 KiB
False
1550 
True
 
6
(Missing)
318 
ValueCountFrequency (%)
False 1550
82.7%
True 6
 
0.3%
(Missing) 318
 
17.0%
2023-12-12T22:38:41.893090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휠체어이동가능여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing318
Missing (%)17.0%
Memory size3.8 KiB
False
1270 
True
286 
(Missing)
318 
ValueCountFrequency (%)
False 1270
67.8%
True 286
 
15.3%
(Missing) 318
 
17.0%
2023-12-12T22:38:41.992433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점자유도로유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing318
Missing (%)17.0%
Memory size3.8 KiB
False
1545 
True
 
11
(Missing)
318 
ValueCountFrequency (%)
False 1545
82.4%
True 11
 
0.6%
(Missing) 318
 
17.0%
2023-12-12T22:38:42.100791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록일자
Date

Distinct58
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
Minimum2021-08-24 00:00:00
Maximum2021-11-22 00:00:00
2023-12-12T22:38:42.247992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:38:42.414228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

업체명카테고리명필지고유번호시도명시군구명읍면동명리명번지법정동코드행정동코드도로명코드도로명도로명상세경도위도폐업여부전화번호홈페이지주소주차가능여부화장실유무화장실타입수유실유무물품보관함유무유아거치대유무휠체어이동가능여부점자유도로유무등록일자
0버블스포츠레저/체육/공원2644010300109390000부산광역시강서구강동동<NA>93926440103002644053000<NA><NA><NA>128.92585735.205061Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-28
1제일낚시터레저/체육/공원2644010300101930000부산광역시강서구강동동<NA>193-326440103002644053000<NA>낙동북로73번가길200-5128.94041435.223657N<NA>http://naver.me/GKojtoseYY구분,외부NNNNN2021-10-26
2강동에이스배트민턴전용구장레저/체육/공원2644010300129250000부산광역시강서구강동동<NA>2925-1626440103002644053000264403136062제도로814128.92013835.185001N051-941-5556http://naver.me/5B1lD1LjYN<NA>NNNNN2021-08-31
3강서해수랜드레저/체육/공원2644010300116480000부산광역시강서구강동동<NA>164826440103002644053000264403136062제도로965128.92542235.198441Y051-971-3651<NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-08-31
4강서해수온천레저/체육/공원2644010300116480000부산광역시강서구강동동<NA>164826440103002644053000264403136062제도로965128.92542435.198393N051-971-3651http://naver.me/xFpOiiNbYY구분,내부NYNNN2021-08-31
5부성탕레저/체육/공원2644010300100860000부산광역시강서구강동동<NA>86-1526440103002644053000264404208489제도로1041번가길335128.93365735.218899Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-08-30
6녹산수문아울렛패션거리문화관광/명소2644011100101320000부산광역시강서구녹산동<NA>132-826440111002644056000<NA><NA><NA>128.89036935.118423Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-28
7시애틀마린레저/체육/공원2644011100102150000부산광역시강서구녹산동<NA>215-726440111002644056000<NA><NA><NA>128.8934835.11563Y051-972-8133<NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-28
8정거마을문화거리문화관광/명소2644012000100750000부산광역시강서구눌차동<NA>75-626440120002644058000<NA><NA><NA>128.85201535.068908Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-28
9머털낚시터레저/체육/공원2644010100106700000부산광역시강서구대저1동<NA>670-21926440101002644051000<NA><NA><NA>128.98841335.230698Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-14
업체명카테고리명필지고유번호시도명시군구명읍면동명리명번지법정동코드행정동코드도로명코드도로명도로명상세경도위도폐업여부전화번호홈페이지주소주차가능여부화장실유무화장실타입수유실유무물품보관함유무유아거치대유무휠체어이동가능여부점자유도로유무등록일자
1864청풍설렁탕레저/체육/공원2635010600111540000부산광역시해운대구중동<NA>1154-926350106002635053000263503133043해운대해변로330129.16620435.162585N051-744-3933http://naver.me/GSiUFQn7YY구분,내부NNNNN2021-10-27
1865해운대비치국제아이스링크레저/체육/공원2635010500106200000부산광역시해운대구중동<NA>620-326350106002635051000263503133043해운대해변로264129.16027535.159112Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-27
1866파라다이스호텔수영장레저/체육/공원2635010600114110000부산광역시해운대구중동<NA>1411-126350106002635053000263503133043해운대해변로296129.16526435.160236N051-749-2358https://www.busanparadisehotel.co.kr/frontYY구분,내부NNNYN2021-10-05
1867파라다이스온천레저/체육/공원2635010600114110000부산광역시해운대구중동<NA>1411-126350106002635053000263503133043해운대해변로296129.16526435.160236Y051-742-2121<NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-05
1868청풍온천탕레저/체육/공원2635010600111540000부산광역시해운대구중동<NA>1154-926350106002635053000263503133043해운대해변로330129.16621835.162544Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-05
1869씨라이프부산아쿠아리움문화관광/명소2635010600114110000부산광역시해운대구중동<NA>1411-426350106002635053000263503133043해운대해변로266129.16099435.159353N051-740-1700https://www.visitsealife.com/busan/YY구분,내부YYNYN2021-10-05
1870동선장대중탕레저/체육/공원2635010600113980000부산광역시해운대구중동<NA>1398-726350106002635053000263503133043해운대해변로321129.16530635.162526Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-05
1871엘시티홍보관문화관광/명소2635010600111240000부산광역시해운대구중동<NA>1124-226350106002635053000263504199300해운대해변로298번길24129.16658335.160202Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-29
1872쉼에스테틱스파레저/체육/공원2635010600111230000부산광역시해운대구중동<NA>112326350106002635053000263504199300해운대해변로298번길29129.16687635.160959Y051-746-7003<NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-10-29
1873도당에스테틱스파레저/체육/공원2635010600111230000부산광역시해운대구중동<NA>112326350106002635053000263504199300해운대해변로298번길29129.16687635.160959N050-8889-0763http://instagram.com/dodangeseutetigYY구분,내부NNNNN2021-10-29

Duplicate rows

Most frequently occurring

업체명카테고리명필지고유번호시도명시군구명읍면동명리명번지법정동코드행정동코드도로명코드도로명도로명상세경도위도폐업여부전화번호홈페이지주소주차가능여부화장실유무화장실타입수유실유무물품보관함유무유아거치대유무휠체어이동가능여부점자유도로유무등록일자# duplicates
0금정산온천레포츠레저/체육/공원2641010700102030000부산광역시금정구구서동<NA>203-526410107002641069000264104205021구서중앙로15번길20129.08905735.25387N051-554-5999http://www.gspa.co.kr/YY구분,내부NYNYN2021-10-082
1하나스포츠센터레저/체육/공원2617010100103080000부산광역시동구초량동<NA>308-926170101002617052000261704181421중앙대로231번길29-1129.03932935.118158N051-465-1152http://www.xn--910bp92a34a99zbwd65ez0c.com/NY구분,내부NNNNN2021-09-232
2한가족사우나레저/체육/공원2623010800107290000부산광역시부산진구부암동<NA>72926230108002623066000262304187311백양산로53번길24129.02978835.173128N051-892-1400https://spa-and-health-club-224.business.site/YY구분,내부NYNNN2021-10-142