Overview

Dataset statistics

Number of variables8
Number of observations165
Missing cells10
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory66.8 B

Variable types

Numeric2
Text4
Categorical2

Dataset

Description경기도 안양시 숙박업소 현황( 연번, 업소명, 업종명, 소재지도로명주소, 소재지지번주소, 전화번호, 객실수, 데이터기준일자) 입니다.
Author경기도 안양시
URLhttps://www.data.go.kr/data/15127313/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업종명 is highly imbalanced (50.2%)Imbalance
전화번호 has 10 (6.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:13:45.879889
Analysis finished2024-03-23 05:13:48.837178
Duration2.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-23T05:13:49.065597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.2
Q142
median83
Q3124
95-th percentile156.8
Maximum165
Range164
Interquartile range (IQR)82

Descriptive statistics

Standard deviation47.775517
Coefficient of variation (CV)0.57560864
Kurtosis-1.2
Mean83
Median Absolute Deviation (MAD)41
Skewness0
Sum13695
Variance2282.5
MonotonicityStrictly increasing
2024-03-23T05:13:49.589771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
105 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
Other values (155) 155
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%

업소명
Text

Distinct161
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T05:13:50.215297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length5.0606061
Min length2

Characters and Unicode

Total characters835
Distinct characters218
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)95.2%

Sample

1st row어반스테이 안양점
2nd row쉘모텔
3rd row블리스모텔
4th row엠숙박
5th row에버덴
ValueCountFrequency (%)
모텔 3
 
1.7%
코암관광호텔 2
 
1.1%
어반부띠크호텔 2
 
1.1%
호텔 2
 
1.1%
안양점 2
 
1.1%
버팔로 2
 
1.1%
알파존 2
 
1.1%
갑부장여관 1
 
0.6%
그린파크장여관 1
 
0.6%
프린스 1
 
0.6%
Other values (158) 158
89.8%
2024-03-23T05:13:51.790866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 73
 
8.7%
호 38
 
4.6%
여 37
 
4.4%
모 35
 
4.2%
스 26
 
3.1%
인 24
 
2.9%
장 22
 
2.6%
이 22
 
2.6%
관 21
 
2.5%
숙 19
 
2.3%
Other values (208) 518
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 756
90.5%
Uppercase Letter 21
 
2.5%
Decimal Number 18
 
2.2%
Open Punctuation 14
 
1.7%
Close Punctuation 14
 
1.7%
Space Separator 11
 
1.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 73
 
9.7%
호 38
 
5.0%
여 37
 
4.9%
모 35
 
4.6%
스 26
 
3.4%
인 24
 
3.2%
장 22
 
2.9%
이 22
 
2.9%
관 21
 
2.8%
숙 19
 
2.5%
Other values (183) 439
58.1%
Uppercase Letter
ValueCountFrequency (%)
S 5
23.8%
N 3
14.3%
M 3
14.3%
Y 2
 
9.5%
O 2
 
9.5%
I 1
 
4.8%
E 1
 
4.8%
C 1
 
4.8%
A 1
 
4.8%
X 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 4
22.2%
6 3
16.7%
0 3
16.7%
2 2
11.1%
5 1
 
5.6%
9 1
 
5.6%
4 1
 
5.6%
7 1
 
5.6%
8 1
 
5.6%
3 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 756
90.5%
Common 58
 
6.9%
Latin 21
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 73
 
9.7%
호 38
 
5.0%
여 37
 
4.9%
모 35
 
4.6%
스 26
 
3.4%
인 24
 
3.2%
장 22
 
2.9%
이 22
 
2.9%
관 21
 
2.8%
숙 19
 
2.5%
Other values (183) 439
58.1%
Common
ValueCountFrequency (%)
( 14
24.1%
) 14
24.1%
11
19.0%
1 4
 
6.9%
6 3
 
5.2%
0 3
 
5.2%
2 2
 
3.4%
5 1
 
1.7%
9 1
 
1.7%
4 1
 
1.7%
Other values (4) 4
 
6.9%
Latin
ValueCountFrequency (%)
S 5
23.8%
N 3
14.3%
M 3
14.3%
Y 2
 
9.5%
O 2
 
9.5%
I 1
 
4.8%
E 1
 
4.8%
C 1
 
4.8%
A 1
 
4.8%
X 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 756
90.5%
ASCII 79
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 73
 
9.7%
호 38
 
5.0%
여 37
 
4.9%
모 35
 
4.6%
스 26
 
3.4%
인 24
 
3.2%
장 22
 
2.9%
이 22
 
2.9%
관 21
 
2.8%
숙 19
 
2.5%
Other values (183) 439
58.1%
ASCII
ValueCountFrequency (%)
( 14
17.7%
) 14
17.7%
11
13.9%
S 5
 
6.3%
1 4
 
5.1%
6 3
 
3.8%
0 3
 
3.8%
N 3
 
3.8%
M 3
 
3.8%
Y 2
 
2.5%
Other values (15) 17
21.5%

업종명
Categorical

IMBALANCE 

Distinct7
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
여관업
119 
여인숙업
26 
관광숙박업
 
6
관광호텔
 
5
숙박업 기타
 
4
Other values (2)
 
5

Length

Max length7
Median length3
Mean length3.4
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여관업
2nd row숙박업 기타
3rd row숙박업 기타
4th row숙박업(생활)
5th row숙박업 기타

Common Values

ValueCountFrequency (%)
여관업 119
72.1%
여인숙업 26
 
15.8%
관광숙박업 6
 
3.6%
관광호텔 5
 
3.0%
숙박업 기타 4
 
2.4%
일반호텔 3
 
1.8%
숙박업(생활) 2
 
1.2%

Length

2024-03-23T05:13:52.556226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:13:53.152413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 119
70.4%
여인숙업 26
 
15.4%
관광숙박업 6
 
3.6%
관광호텔 5
 
3.0%
숙박업 4
 
2.4%
기타 4
 
2.4%
일반호텔 3
 
1.8%
숙박업(생활 2
 
1.2%

소재지도로명주소
Text

Distinct161
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T05:13:54.318665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length29.636364
Min length24

Characters and Unicode

Total characters4890
Distinct characters81
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

Unique157 ?
Unique (%)95.2%

Sample

1st row경기도 안양시 만안구 장내로139번길 35, 3,4층 (안양동)
2nd row경기도 안양시 만안구 수리산로28번길 25, 1-5층 (안양동)
3rd row경기도 안양시 동안구 안양판교로 14-2, A,B동 (관양동)
4th row경기도 안양시 만안구 만안로 25, 2,3층 (안양동)
5th row경기도 안양시 만안구 안양로 285-1 (안양동)
ValueCountFrequency (%)
경기도 165
16.3%
안양시 165
16.3%
만안구 113
 
11.1%
안양동 103
 
10.2%
동안구 52
 
5.1%
관양동 30
 
3.0%
호계동 18
 
1.8%
장내로140번길 13
 
1.3%
흥안대로 11
 
1.1%
만안로 10
 
1.0%
Other values (189) 334
32.9%
2024-03-23T05:13:56.808187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
849
17.4%
안 504
 
10.3%
양 337
 
6.9%
동 219
 
4.5%
1 182
 
3.7%
경 171
 
3.5%
로 165
 
3.4%
( 165
 
3.4%
기 165
 
3.4%
구 165
 
3.4%
Other values (71) 1968
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2831
57.9%
Space Separator 849
 
17.4%
Decimal Number 784
 
16.0%
Open Punctuation 165
 
3.4%
Close Punctuation 165
 
3.4%
Other Punctuation 53
 
1.1%
Dash Punctuation 36
 
0.7%
Math Symbol 5
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 504
17.8%
양 337
11.9%
동 219
 
7.7%
경 171
 
6.0%
로 165
 
5.8%
기 165
 
5.8%
구 165
 
5.8%
시 165
 
5.8%
도 165
 
5.8%
만 133
 
4.7%
Other values (52) 642
22.7%
Decimal Number
ValueCountFrequency (%)
1 182
23.2%
3 99
12.6%
2 98
12.5%
5 82
10.5%
4 76
9.7%
0 65
 
8.3%
8 61
 
7.8%
7 45
 
5.7%
6 41
 
5.2%
9 35
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 49
92.5%
. 4
 
7.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
849
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2831
57.9%
Common 2057
42.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 504
17.8%
양 337
11.9%
동 219
 
7.7%
경 171
 
6.0%
로 165
 
5.8%
기 165
 
5.8%
구 165
 
5.8%
시 165
 
5.8%
도 165
 
5.8%
만 133
 
4.7%
Other values (52) 642
22.7%
Common
ValueCountFrequency (%)
849
41.3%
1 182
 
8.8%
( 165
 
8.0%
) 165
 
8.0%
3 99
 
4.8%
2 98
 
4.8%
5 82
 
4.0%
4 76
 
3.7%
0 65
 
3.2%
8 61
 
3.0%
Other values (7) 215
 
10.5%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2831
57.9%
ASCII 2059
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
849
41.2%
1 182
 
8.8%
( 165
 
8.0%
) 165
 
8.0%
3 99
 
4.8%
2 98
 
4.8%
5 82
 
4.0%
4 76
 
3.7%
0 65
 
3.2%
8 61
 
3.0%
Other values (9) 217
 
10.5%
Hangul
ValueCountFrequency (%)
안 504
17.8%
양 337
11.9%
동 219
 
7.7%
경 171
 
6.0%
로 165
 
5.8%
기 165
 
5.8%
구 165
 
5.8%
시 165
 
5.8%
도 165
 
5.8%
만 133
 
4.7%
Other values (52) 642
22.7%

소재지지번주소
Text

Distinct159
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T05:13:57.690928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length24.351515
Min length21

Characters and Unicode

Total characters4018
Distinct characters46
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)92.7%

Sample

1st row경기도 안양시 만안구 안양동 674-135
2nd row경기도 안양시 만안구 안양동 504-23
3rd row경기도 안양시 동안구 관양동 1505-10 A,B동
4th row경기도 안양시 만안구 안양동 533-25
5th row경기도 안양시 만안구 안양동 676-115번지
ValueCountFrequency (%)
경기도 165
19.5%
안양시 165
19.5%
만안구 113
13.4%
안양동 109
12.9%
동안구 52
 
6.1%
관양동 32
 
3.8%
호계동 19
 
2.2%
석수동 4
 
0.5%
16-10 2
 
0.2%
966-20 2
 
0.2%
Other values (177) 183
21.6%
2024-03-23T05:13:58.950790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
846
21.1%
안 440
 
11.0%
양 306
 
7.6%
동 218
 
5.4%
경 166
 
4.1%
1 166
 
4.1%
기 165
 
4.1%
구 165
 
4.1%
시 165
 
4.1%
도 165
 
4.1%
Other values (36) 1216
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2097
52.2%
Decimal Number 888
22.1%
Space Separator 846
21.1%
Dash Punctuation 164
 
4.1%
Other Punctuation 18
 
0.4%
Math Symbol 3
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 440
21.0%
양 306
14.6%
동 218
10.4%
경 166
 
7.9%
기 165
 
7.9%
구 165
 
7.9%
시 165
 
7.9%
도 165
 
7.9%
만 113
 
5.4%
지 43
 
2.1%
Other values (19) 151
 
7.2%
Decimal Number
ValueCountFrequency (%)
1 166
18.7%
2 159
17.9%
6 134
15.1%
5 88
9.9%
4 86
9.7%
0 67
7.5%
3 64
 
7.2%
7 53
 
6.0%
9 38
 
4.3%
8 33
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 14
77.8%
. 4
 
22.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
846
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2097
52.2%
Common 1919
47.8%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 440
21.0%
양 306
14.6%
동 218
10.4%
경 166
 
7.9%
기 165
 
7.9%
구 165
 
7.9%
시 165
 
7.9%
도 165
 
7.9%
만 113
 
5.4%
지 43
 
2.1%
Other values (19) 151
 
7.2%
Common
ValueCountFrequency (%)
846
44.1%
1 166
 
8.7%
- 164
 
8.5%
2 159
 
8.3%
6 134
 
7.0%
5 88
 
4.6%
4 86
 
4.5%
0 67
 
3.5%
3 64
 
3.3%
7 53
 
2.8%
Other values (5) 92
 
4.8%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2097
52.2%
ASCII 1921
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
846
44.0%
1 166
 
8.6%
- 164
 
8.5%
2 159
 
8.3%
6 134
 
7.0%
5 88
 
4.6%
4 86
 
4.5%
0 67
 
3.5%
3 64
 
3.3%
7 53
 
2.8%
Other values (7) 94
 
4.9%
Hangul
ValueCountFrequency (%)
안 440
21.0%
양 306
14.6%
동 218
10.4%
경 166
 
7.9%
기 165
 
7.9%
구 165
 
7.9%
시 165
 
7.9%
도 165
 
7.9%
만 113
 
5.4%
지 43
 
2.1%
Other values (19) 151
 
7.2%

전화번호
Text

MISSING 

Distinct149
Distinct (%)96.1%
Missing10
Missing (%)6.1%
Memory size1.4 KiB
2024-03-23T05:14:00.013775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.03871
Min length11

Characters and Unicode

Total characters1866
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

Unique143 ?
Unique (%)92.3%

Sample

1st row0507-1469-1058
2nd row031-466-0080
3rd row070-8915-5137
4th row031-455-5006
5th row031-348-2550
ValueCountFrequency (%)
031-445-6601 2
 
1.3%
031-421-0000 2
 
1.3%
031-448-6671 2
 
1.3%
031-421-8819 2
 
1.3%
070-8915-5137 2
 
1.3%
031-423-2111 2
 
1.3%
031-442-5959 1
 
0.6%
031-455-5526 1
 
0.6%
031-442-9905 1
 
0.6%
031-448-7437 1
 
0.6%
Other values (139) 139
89.7%
2024-03-23T05:14:01.865114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 310
16.6%
4 277
14.8%
3 251
13.5%
0 246
13.2%
1 234
12.5%
5 108
 
5.8%
2 107
 
5.7%
8 93
 
5.0%
6 88
 
4.7%
7 79
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1556
83.4%
Dash Punctuation 310
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 277
17.8%
3 251
16.1%
0 246
15.8%
1 234
15.0%
5 108
 
6.9%
2 107
 
6.9%
8 93
 
6.0%
6 88
 
5.7%
7 79
 
5.1%
9 73
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1866
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 310
16.6%
4 277
14.8%
3 251
13.5%
0 246
13.2%
1 234
12.5%
5 108
 
5.8%
2 107
 
5.7%
8 93
 
5.0%
6 88
 
4.7%
7 79
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 310
16.6%
4 277
14.8%
3 251
13.5%
0 246
13.2%
1 234
12.5%
5 108
 
5.8%
2 107
 
5.7%
8 93
 
5.0%
6 88
 
4.7%
7 79
 
4.2%

객실수
Real number (ℝ)

Distinct47
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.060606
Minimum8
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-23T05:14:02.539797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q115
median21
Q330
95-th percentile55.4
Maximum154
Range146
Interquartile range (IQR)15

Descriptive statistics

Standard deviation22.300251
Coefficient of variation (CV)0.82408541
Kurtosis15.052205
Mean27.060606
Median Absolute Deviation (MAD)7
Skewness3.4745079
Sum4465
Variance497.30118
MonotonicityNot monotonic
2024-03-23T05:14:03.234016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
10 12
 
7.3%
26 11
 
6.7%
18 10
 
6.1%
12 8
 
4.8%
19 7
 
4.2%
28 7
 
4.2%
16 6
 
3.6%
17 6
 
3.6%
15 6
 
3.6%
21 6
 
3.6%
Other values (37) 86
52.1%
ValueCountFrequency (%)
8 4
 
2.4%
9 2
 
1.2%
10 12
7.3%
11 3
 
1.8%
12 8
4.8%
13 4
 
2.4%
14 6
3.6%
15 6
3.6%
16 6
3.6%
17 6
3.6%
ValueCountFrequency (%)
154 2
1.2%
120 2
1.2%
85 1
0.6%
80 2
1.2%
78 1
0.6%
56 1
0.6%
53 1
0.6%
52 1
0.6%
50 1
0.6%
49 1
0.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-21
165 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-21
2nd row2024-03-21
3rd row2024-03-21
4th row2024-03-21
5th row2024-03-21

Common Values

ValueCountFrequency (%)
2024-03-21 165
100.0%

Length

2024-03-23T05:14:03.901028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:14:04.286870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-21 165
100.0%

Interactions

2024-03-23T05:13:47.356382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:46.672256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:47.701423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:46.952296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T05:14:04.472745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명객실수
연번1.0000.5990.411
업종명0.5991.0000.670
객실수0.4110.6701.000
2024-03-23T05:14:05.047446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번객실수업종명
연번1.000-0.3640.353
객실수-0.3641.0000.439
업종명0.3530.4391.000

Missing values

2024-03-23T05:13:48.244823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:13:48.692526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번업소명업종명소재지도로명주소소재지지번주소전화번호객실수데이터기준일자
01어반스테이 안양점여관업경기도 안양시 만안구 장내로139번길 35, 3,4층 (안양동)경기도 안양시 만안구 안양동 674-135<NA>192024-03-21
12쉘모텔숙박업 기타경기도 안양시 만안구 수리산로28번길 25, 1-5층 (안양동)경기도 안양시 만안구 안양동 504-230507-1469-1058302024-03-21
23블리스모텔숙박업 기타경기도 안양시 동안구 안양판교로 14-2, A,B동 (관양동)경기도 안양시 동안구 관양동 1505-10 A,B동<NA>202024-03-21
34엠숙박숙박업(생활)경기도 안양시 만안구 만안로 25, 2,3층 (안양동)경기도 안양시 만안구 안양동 533-25<NA>142024-03-21
45에버덴숙박업 기타경기도 안양시 만안구 안양로 285-1 (안양동)경기도 안양시 만안구 안양동 676-115번지031-466-0080492024-03-21
56알파존숙박업(생활)경기도 안양시 동안구 흥안대로 84-2, 알파존 지상2~17층 (호계동)경기도 안양시 동안구 호계동 966-20 알파존 지상2~17층070-8915-51371202024-03-21
67허니모텔여관업경기도 안양시 동안구 엘에스로 42, 7,8,9층 (호계동)경기도 안양시 동안구 호계동 971-10번지 경륭빌딩 7,8,9 층031-455-5006262024-03-21
78만조장여관여인숙업경기도 안양시 만안구 안양로258번길 33, 2,3층 (안양동)경기도 안양시 만안구 안양동 622-346<NA>132024-03-21
89호텔여기어때안양1번가점여관업경기도 안양시 만안구 장내로149번길 8, 지상3,4,5층 (안양동)경기도 안양시 만안구 안양동 674-265번지 지상3,4,5층031-348-2550262024-03-21
910씨엔씨퍼스트스트릿호텔일반호텔경기도 안양시 만안구 안양로324번길 12 (안양동)경기도 안양시 만안구 안양동 1195-47<NA>412024-03-21
연번업소명업종명소재지도로명주소소재지지번주소전화번호객실수데이터기준일자
155156더원여관업경기도 안양시 만안구 장내로119번길 56-8 (안양동)경기도 안양시 만안구 안양동 676-163031-449-6975182024-03-21
156157안양천뷰여인숙업경기도 안양시 만안구 안양로398번길 72 (안양동)경기도 안양시 만안구 안양동 857-9<NA>122024-03-21
157158세롬여인숙여인숙업경기도 안양시 만안구 냉천로 168-3 (안양동)경기도 안양시 만안구 안양동 627-222031-442-1358102024-03-21
158159충북여인숙여인숙업경기도 안양시 만안구 장내로150번길 26 (안양동)경기도 안양시 만안구 안양동 622-141031-449-6050152024-03-21
159160알파존관광숙박업경기도 안양시 동안구 흥안대로 84-2, 알파존 (호계동)경기도 안양시 동안구 호계동 966-20 알파존070-8915-51371202024-03-21
160161CS프리미어호텔관광숙박업경기도 안양시 만안구 경수대로 1180 (안양동)경기도 안양시 만안구 안양동 16-1002-866-22331542024-03-21
161162어반부띠크호텔관광숙박업경기도 안양시 동안구 흥안대로 497 (관양동)경기도 안양시 동안구 관양동 1504-6031-421-0000802024-03-21
162163삼원프라자호텔관광숙박업경기도 안양시 만안구 장내로139번길 7 (안양동)경기도 안양시 만안구 안양동 674-251031-448-6671852024-03-21
163164센트럴 관광호텔관광숙박업경기도 안양시 동안구 흥안대로 513 (관양동)경기도 안양시 동안구 관양동 1503-1031-423-2111522024-03-21
164165코암관광호텔관광숙박업경기도 안양시 만안구 만안로 101 (안양동)경기도 안양시 만안구 안양동 431-10031-445-6601372024-03-21