Overview

Dataset statistics

Number of variables8
Number of observations71
Missing cells66
Missing cells (%)11.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory68.9 B

Variable types

Text4
Numeric3
DateTime1

Dataset

Description경기도 김포시 숙박업소 현황 정보에 대한 데이터로 업소명, 소재지주소, 전화번호, 객실수, 한실수, 양실수 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15036609/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
객실수 is highly overall correlated with 양실수High correlation
한실수 is highly overall correlated with 양실수High correlation
양실수 is highly overall correlated with 객실수 and 1 other fieldsHigh correlation
소재지전화 has 2 (2.8%) missing valuesMissing
한실수 has 1 (1.4%) missing valuesMissing
비고 has 63 (88.7%) missing valuesMissing
업소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
한실수 has 41 (57.7%) zerosZeros

Reproduction

Analysis started2023-12-12 17:03:25.757268
Analysis finished2023-12-12 17:03:27.507284
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-13T02:03:27.723905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length5.9577465
Min length1

Characters and Unicode

Total characters423
Distinct characters147
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

Unique71 ?
Unique (%)100.0%

Sample

1st row수보장
2nd row황금장여인숙
3rd row하성장
4th row한성여관
5th row일진여관
ValueCountFrequency (%)
호텔 4
 
4.7%
드라이브인하비비 2
 
2.3%
저스트슬립호텔 2
 
2.3%
hotel 2
 
2.3%
코자자 2
 
2.3%
라인플러스호텔 1
 
1.2%
모텔솔황토방 1
 
1.2%
나동 1
 
1.2%
가동 1
 
1.2%
아리수 1
 
1.2%
Other values (69) 69
80.2%
2023-12-13T02:03:28.123902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 45
 
10.6%
호 34
 
8.0%
15
 
3.5%
모 14
 
3.3%
스 13
 
3.1%
리 12
 
2.8%
이 12
 
2.8%
라 9
 
2.1%
여 9
 
2.1%
관 9
 
2.1%
Other values (137) 251
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
83.0%
Uppercase Letter 26
 
6.1%
Space Separator 15
 
3.5%
Lowercase Letter 14
 
3.3%
Close Punctuation 5
 
1.2%
Open Punctuation 5
 
1.2%
Decimal Number 4
 
0.9%
Dash Punctuation 2
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 45
 
12.8%
호 34
 
9.7%
모 14
 
4.0%
스 13
 
3.7%
리 12
 
3.4%
이 12
 
3.4%
라 9
 
2.6%
여 9
 
2.6%
관 9
 
2.6%
장 7
 
2.0%
Other values (108) 187
53.3%
Uppercase Letter
ValueCountFrequency (%)
T 4
15.4%
K 3
11.5%
M 3
11.5%
H 3
11.5%
L 2
7.7%
E 2
7.7%
S 2
7.7%
O 2
7.7%
R 1
 
3.8%
J 1
 
3.8%
Other values (3) 3
11.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
21.4%
l 3
21.4%
o 2
14.3%
t 2
14.3%
s 1
 
7.1%
r 1
 
7.1%
w 1
 
7.1%
i 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
9 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
83.0%
Latin 40
 
9.5%
Common 32
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 45
 
12.8%
호 34
 
9.7%
모 14
 
4.0%
스 13
 
3.7%
리 12
 
3.4%
이 12
 
3.4%
라 9
 
2.6%
여 9
 
2.6%
관 9
 
2.6%
장 7
 
2.0%
Other values (108) 187
53.3%
Latin
ValueCountFrequency (%)
T 4
 
10.0%
K 3
 
7.5%
e 3
 
7.5%
l 3
 
7.5%
M 3
 
7.5%
H 3
 
7.5%
o 2
 
5.0%
t 2
 
5.0%
L 2
 
5.0%
E 2
 
5.0%
Other values (11) 13
32.5%
Common
ValueCountFrequency (%)
15
46.9%
) 5
 
15.6%
( 5
 
15.6%
1 2
 
6.2%
- 2
 
6.2%
9 1
 
3.1%
2 1
 
3.1%
& 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
83.0%
ASCII 72
 
17.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 45
 
12.8%
호 34
 
9.7%
모 14
 
4.0%
스 13
 
3.7%
리 12
 
3.4%
이 12
 
3.4%
라 9
 
2.6%
여 9
 
2.6%
관 9
 
2.6%
장 7
 
2.0%
Other values (108) 187
53.3%
ASCII
ValueCountFrequency (%)
15
20.8%
) 5
 
6.9%
( 5
 
6.9%
T 4
 
5.6%
K 3
 
4.2%
e 3
 
4.2%
l 3
 
4.2%
M 3
 
4.2%
H 3
 
4.2%
1 2
 
2.8%
Other values (19) 26
36.1%

소재지도로명주소
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-13T02:03:28.457170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length25.338028
Min length17

Characters and Unicode

Total characters1799
Distinct characters104
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row경기도 김포시 통진읍 서암로84번길 1-8
2nd row경기도 김포시 양촌읍 양곡로 539-4
3rd row경기도 김포시 하성면 하성로 497-12
4th row경기도 김포시 중구로 89-7 (북변동)
5th row경기도 김포시 통진읍 서암로84번길 1-4
ValueCountFrequency (%)
경기도 71
18.3%
김포시 71
18.3%
통진읍 15
 
3.9%
구래동 13
 
3.4%
대곶면 11
 
2.8%
김포한강9로75번길 11
 
2.8%
북변동 8
 
2.1%
중구로 6
 
1.5%
양촌읍 6
 
1.5%
대명항1로 6
 
1.5%
Other values (123) 170
43.8%
2023-12-13T02:03:28.895014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
317
 
17.6%
포 93
 
5.2%
김 91
 
5.1%
기 77
 
4.3%
경 72
 
4.0%
도 71
 
3.9%
로 71
 
3.9%
시 71
 
3.9%
1 61
 
3.4%
5 44
 
2.4%
Other values (94) 831
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1045
58.1%
Decimal Number 331
 
18.4%
Space Separator 317
 
17.6%
Dash Punctuation 28
 
1.6%
Open Punctuation 26
 
1.4%
Close Punctuation 26
 
1.4%
Other Punctuation 22
 
1.2%
Math Symbol 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 93
 
8.9%
김 91
 
8.7%
기 77
 
7.4%
경 72
 
6.9%
도 71
 
6.8%
로 71
 
6.8%
시 71
 
6.8%
번 31
 
3.0%
길 31
 
3.0%
동 30
 
2.9%
Other values (78) 407
38.9%
Decimal Number
ValueCountFrequency (%)
1 61
18.4%
5 44
13.3%
7 43
13.0%
9 42
12.7%
2 33
10.0%
8 24
 
7.3%
4 24
 
7.3%
3 22
 
6.6%
0 20
 
6.0%
6 18
 
5.4%
Space Separator
ValueCountFrequency (%)
317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1045
58.1%
Common 754
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 93
 
8.9%
김 91
 
8.7%
기 77
 
7.4%
경 72
 
6.9%
도 71
 
6.8%
로 71
 
6.8%
시 71
 
6.8%
번 31
 
3.0%
길 31
 
3.0%
동 30
 
2.9%
Other values (78) 407
38.9%
Common
ValueCountFrequency (%)
317
42.0%
1 61
 
8.1%
5 44
 
5.8%
7 43
 
5.7%
9 42
 
5.6%
2 33
 
4.4%
- 28
 
3.7%
( 26
 
3.4%
) 26
 
3.4%
8 24
 
3.2%
Other values (6) 110
 
14.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1045
58.1%
ASCII 754
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
317
42.0%
1 61
 
8.1%
5 44
 
5.8%
7 43
 
5.7%
9 42
 
5.6%
2 33
 
4.4%
- 28
 
3.7%
( 26
 
3.4%
) 26
 
3.4%
8 24
 
3.2%
Other values (6) 110
 
14.6%
Hangul
ValueCountFrequency (%)
포 93
 
8.9%
김 91
 
8.7%
기 77
 
7.4%
경 72
 
6.9%
도 71
 
6.8%
로 71
 
6.8%
시 71
 
6.8%
번 31
 
3.0%
길 31
 
3.0%
동 30
 
2.9%
Other values (78) 407
38.9%

소재지전화
Text

MISSING 

Distinct69
Distinct (%)100.0%
Missing2
Missing (%)2.8%
Memory size700.0 B
2023-12-13T02:03:29.139508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.028986
Min length11

Characters and Unicode

Total characters830
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

Unique69 ?
Unique (%)100.0%

Sample

1st row031-983-6705
2nd row031-988-2993
3rd row031-984-2264
4th row031-984-8219
5th row031-987-1019
ValueCountFrequency (%)
031-981-7138 1
 
1.4%
031-982-1322 1
 
1.4%
031-8048-7092 1
 
1.4%
031-986-0474 1
 
1.4%
031-985-8991 1
 
1.4%
031-986-5122 1
 
1.4%
031-988-1465 1
 
1.4%
031-988-3534 1
 
1.4%
031-989-8181 1
 
1.4%
031-981-8835 1
 
1.4%
Other values (59) 59
85.5%
2023-12-13T02:03:29.511856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 138
16.6%
0 106
12.8%
1 105
12.7%
9 104
12.5%
8 101
12.2%
3 97
11.7%
6 39
 
4.7%
4 37
 
4.5%
7 36
 
4.3%
2 34
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 692
83.4%
Dash Punctuation 138
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
15.3%
1 105
15.2%
9 104
15.0%
8 101
14.6%
3 97
14.0%
6 39
 
5.6%
4 37
 
5.3%
7 36
 
5.2%
2 34
 
4.9%
5 33
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 830
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 138
16.6%
0 106
12.8%
1 105
12.7%
9 104
12.5%
8 101
12.2%
3 97
11.7%
6 39
 
4.7%
4 37
 
4.5%
7 36
 
4.3%
2 34
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 830
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 138
16.6%
0 106
12.8%
1 105
12.7%
9 104
12.5%
8 101
12.2%
3 97
11.7%
6 39
 
4.7%
4 37
 
4.5%
7 36
 
4.3%
2 34
 
4.1%

객실수
Real number (ℝ)

HIGH CORRELATION 

Distinct42
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.084507
Minimum6
Maximum825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-13T02:03:29.884793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile12.5
Q119
median31
Q342.5
95-th percentile72
Maximum825
Range819
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation116.96834
Coefficient of variation (CV)2.2034365
Kurtosis34.114418
Mean53.084507
Median Absolute Deviation (MAD)12
Skewness5.7617242
Sum3769
Variance13681.593
MonotonicityNot monotonic
2023-12-13T02:03:29.999858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
36 6
 
8.5%
14 4
 
5.6%
15 4
 
5.6%
43 3
 
4.2%
40 3
 
4.2%
21 2
 
2.8%
10 2
 
2.8%
20 2
 
2.8%
13 2
 
2.8%
29 2
 
2.8%
Other values (32) 41
57.7%
ValueCountFrequency (%)
6 1
 
1.4%
10 2
2.8%
12 1
 
1.4%
13 2
2.8%
14 4
5.6%
15 4
5.6%
16 1
 
1.4%
17 1
 
1.4%
18 2
2.8%
20 2
2.8%
ValueCountFrequency (%)
825 1
1.4%
605 1
1.4%
144 1
1.4%
73 1
1.4%
71 1
1.4%
70 1
1.4%
69 2
2.8%
66 1
1.4%
65 1
1.4%
63 1
1.4%

한실수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct14
Distinct (%)20.0%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.4857143
Minimum0
Maximum23
Zeros41
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-13T02:03:30.118124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile11.65
Maximum23
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.6586148
Coefficient of variation (CV)1.8741554
Kurtosis6.7228228
Mean2.4857143
Median Absolute Deviation (MAD)0
Skewness2.52032
Sum174
Variance21.702692
MonotonicityNot monotonic
2023-12-13T02:03:30.237631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 41
57.7%
2 5
 
7.0%
1 5
 
7.0%
5 4
 
5.6%
3 4
 
5.6%
9 2
 
2.8%
10 2
 
2.8%
7 1
 
1.4%
16 1
 
1.4%
23 1
 
1.4%
Other values (4) 4
 
5.6%
ValueCountFrequency (%)
0 41
57.7%
1 5
 
7.0%
2 5
 
7.0%
3 4
 
5.6%
4 1
 
1.4%
5 4
 
5.6%
7 1
 
1.4%
8 1
 
1.4%
9 2
 
2.8%
10 2
 
2.8%
ValueCountFrequency (%)
23 1
 
1.4%
18 1
 
1.4%
16 1
 
1.4%
13 1
 
1.4%
10 2
2.8%
9 2
2.8%
8 1
 
1.4%
7 1
 
1.4%
5 4
5.6%
4 1
 
1.4%

양실수
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.633803
Minimum1
Maximum825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-13T02:03:30.380854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q115.5
median29
Q342.5
95-th percentile71.5
Maximum825
Range824
Interquartile range (IQR)27

Descriptive statistics

Standard deviation117.35602
Coefficient of variation (CV)2.3177406
Kurtosis33.967705
Mean50.633803
Median Absolute Deviation (MAD)14
Skewness5.7391344
Sum3595
Variance13772.435
MonotonicityNot monotonic
2023-12-13T02:03:30.574998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
34 3
 
4.2%
15 3
 
4.2%
43 3
 
4.2%
48 3
 
4.2%
20 3
 
4.2%
36 3
 
4.2%
29 3
 
4.2%
10 3
 
4.2%
16 2
 
2.8%
31 2
 
2.8%
Other values (38) 43
60.6%
ValueCountFrequency (%)
1 1
 
1.4%
3 1
 
1.4%
5 1
 
1.4%
6 1
 
1.4%
7 1
 
1.4%
8 2
2.8%
9 1
 
1.4%
10 3
4.2%
11 1
 
1.4%
12 1
 
1.4%
ValueCountFrequency (%)
825 1
1.4%
602 1
1.4%
144 1
1.4%
73 1
1.4%
70 1
1.4%
69 2
2.8%
66 1
1.4%
65 1
1.4%
63 1
1.4%
49 1
1.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum2023-06-19 00:00:00
Maximum2023-06-19 00:00:00
2023-12-13T02:03:30.693250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:30.801595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

비고
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing63
Missing (%)88.7%
Memory size700.0 B
2023-12-13T02:03:30.974631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.125
Min length2

Characters and Unicode

Total characters41
Distinct characters15
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

Unique2 ?
Unique (%)25.0%

Sample

1st row전화번호 수정
2nd row명칭변경
3rd row휴업
4th row전화번호 수정
5th row명칭변경
ValueCountFrequency (%)
수정 4
33.3%
전화번호 3
25.0%
명칭변경 3
25.0%
휴업 1
 
8.3%
객실수 1
 
8.3%
2023-12-13T02:03:31.347827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 5
12.2%
4
9.8%
정 4
9.8%
전 3
7.3%
화 3
7.3%
번 3
7.3%
호 3
7.3%
명 3
7.3%
칭 3
7.3%
변 3
7.3%
Other values (5) 7
17.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37
90.2%
Space Separator 4
 
9.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 5
13.5%
정 4
10.8%
전 3
8.1%
화 3
8.1%
번 3
8.1%
호 3
8.1%
명 3
8.1%
칭 3
8.1%
변 3
8.1%
경 3
8.1%
Other values (4) 4
10.8%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37
90.2%
Common 4
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 5
13.5%
정 4
10.8%
전 3
8.1%
화 3
8.1%
번 3
8.1%
호 3
8.1%
명 3
8.1%
칭 3
8.1%
변 3
8.1%
경 3
8.1%
Other values (4) 4
10.8%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37
90.2%
ASCII 4
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 5
13.5%
정 4
10.8%
전 3
8.1%
화 3
8.1%
번 3
8.1%
호 3
8.1%
명 3
8.1%
칭 3
8.1%
변 3
8.1%
경 3
8.1%
Other values (4) 4
10.8%
ASCII
ValueCountFrequency (%)
4
100.0%

Interactions

2023-12-13T02:03:26.829723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:26.214064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:26.518052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:26.924553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:26.305870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:26.632755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:27.017288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:26.430030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:26.737511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:03:31.464800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지도로명주소소재지전화객실수한실수양실수비고
업소명1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.0001.0001.000
객실수1.0001.0001.0001.0000.0001.000NaN
한실수1.0001.0001.0000.0001.0000.0000.317
양실수1.0001.0001.0001.0000.0001.000NaN
비고1.0001.0001.000NaN0.317NaN1.000
2023-12-13T02:03:31.602725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수한실수양실수
객실수1.000-0.3430.967
한실수-0.3431.000-0.517
양실수0.967-0.5171.000

Missing values

2023-12-13T02:03:27.161548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:03:27.349667image/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.
2023-12-13T02:03:27.454401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업소명소재지도로명주소소재지전화객실수한실수양실수데이터기준일자비고
0수보장경기도 김포시 통진읍 서암로84번길 1-8031-983-6705140142023-06-19<NA>
1황금장여인숙경기도 김포시 양촌읍 양곡로 539-4<NA>15962023-06-19전화번호 수정
2하성장경기도 김포시 하성면 하성로 497-12031-988-299315782023-06-19<NA>
3한성여관경기도 김포시 중구로 89-7 (북변동)031-984-226414592023-06-19<NA>
4일진여관경기도 김포시 통진읍 서암로84번길 1-4031-984-8219100102023-06-19<NA>
5타임모텔경기도 김포시 통진읍 김포대로2230번길 13-6031-987-1019122102023-06-19<NA>
6제일장여관경기도 김포시 통진읍 김포대로2230번길 15031-987-4987100102023-06-19<NA>
7허브모텔경기도 김포시 중봉1로 85-3 (북변동)031-988-4927130132023-06-19<NA>
8모텔케이(MOTEL-K)경기도 김포시 양촌읍 양곡1로40번길 12031-981-7138215162023-06-19<NA>
9장미모텔경기도 김포시 통진읍 조강로 66-13031-988-0336142122023-06-19명칭변경
업소명소재지도로명주소소재지전화객실수한실수양실수데이터기준일자비고
61호텔M-Tower경기도 김포시 김포한강9로75번길 38, 9층~12층 (구래동)031-984-1723630632023-06-19객실수 수정
62맥스호텔경기도 김포시 김포한강9로75번길 38, 8층, 11층 일부 (구래동)031-983-0073300302023-06-19전화번호 수정
63오로라호텔경기도 김포시 김포한강9로75번길 56, 디에스프라자 7~9층 (구래동)031-998-6714490492023-06-19<NA>
64김포JK호텔경기도 김포시 김포한강9로75번길 100, 태경프라자 7~9층 (구래동)031-982-6622480482023-06-19<NA>
65호텔 캘리포니아경기도 김포시 김포한강9로 80, 다온프라자 7층 (구래동)031-983-6699430432023-06-19<NA>
66아뮤즈호텔경기도 김포시 김포한강9로75번길 98, 제이원 타워 7층~9층 (구래동)<NA>430432023-06-19<NA>
67웨스트9 호텔경기도 김포시 김포한강9로75번길 64 (구래동)031-982-5820650652023-06-19<NA>
68아이메리츠호텔경기도 김포시 대곶면 약암로 786-50031-981-4482350352023-06-19<NA>
69호텔 라르 김포경기도 김포시 고촌읍 장차로5번길 5-9031-982-132214401442023-06-19<NA>
70호텔반월경기도 김포시 태장로795번길 145 (장기동)031-997-3230730732023-06-19명칭변경