Overview

Dataset statistics

Number of variables9
Number of observations32
Missing cells6
Missing cells (%)2.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory77.1 B

Variable types

Text5
Categorical2
Numeric1
DateTime1

Dataset

Description충청북도 증평군에 소재한 숙박업소, 여관, 모텔, 여인숙에 대한 업소명, 위치, 주소, 객실수 , 주차정보 등의 항목을 제공합니다.
Author충청북도 증평군
URLhttps://www.data.go.kr/data/3041653/fileData.do

Alerts

업종명 has constant value ""Constant
서비스대상구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주차장보유여부 has 6 (18.8%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:04:58.921944
Analysis finished2023-12-12 17:04:59.719873
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T02:04:59.901769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length7
Mean length5.15625
Min length3

Characters and Unicode

Total characters165
Distinct characters78
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row부여여인숙
2nd row현수장여관
3rd row충북장여관
4th row초원여인숙
5th row수정여관
ValueCountFrequency (%)
부여여인숙 1
 
2.9%
몽무인텔 1
 
2.9%
이태리모텔 1
 
2.9%
소풍 1
 
2.9%
무인모텔 1
 
2.9%
율리 1
 
2.9%
휴양촌 1
 
2.9%
영파크 1
 
2.9%
청자모텔 1
 
2.9%
버디버디b 1
 
2.9%
Other values (25) 25
71.4%
2023-12-13T02:05:00.328065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 15
 
9.1%
여 10
 
6.1%
모 10
 
6.1%
인 8
 
4.8%
리 7
 
4.2%
관 5
 
3.0%
크 5
 
3.0%
파 5
 
3.0%
버 4
 
2.4%
무 4
 
2.4%
Other values (68) 92
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
93.9%
Space Separator 3
 
1.8%
Lowercase Letter 3
 
1.8%
Uppercase Letter 2
 
1.2%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 15
 
9.7%
여 10
 
6.5%
모 10
 
6.5%
인 8
 
5.2%
리 7
 
4.5%
관 5
 
3.2%
크 5
 
3.2%
파 5
 
3.2%
버 4
 
2.6%
무 4
 
2.6%
Other values (60) 82
52.9%
Lowercase Letter
ValueCountFrequency (%)
n 1
33.3%
e 1
33.3%
w 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
93.9%
Common 5
 
3.0%
Latin 5
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 15
 
9.7%
여 10
 
6.5%
모 10
 
6.5%
인 8
 
5.2%
리 7
 
4.5%
관 5
 
3.2%
크 5
 
3.2%
파 5
 
3.2%
버 4
 
2.6%
무 4
 
2.6%
Other values (60) 82
52.9%
Latin
ValueCountFrequency (%)
n 1
20.0%
e 1
20.0%
w 1
20.0%
A 1
20.0%
B 1
20.0%
Common
ValueCountFrequency (%)
3
60.0%
( 1
 
20.0%
) 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
93.9%
ASCII 10
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 15
 
9.7%
여 10
 
6.5%
모 10
 
6.5%
인 8
 
5.2%
리 7
 
4.5%
관 5
 
3.2%
크 5
 
3.2%
파 5
 
3.2%
버 4
 
2.6%
무 4
 
2.6%
Other values (60) 82
52.9%
ASCII
ValueCountFrequency (%)
3
30.0%
( 1
 
10.0%
) 1
 
10.0%
n 1
 
10.0%
e 1
 
10.0%
w 1
 
10.0%
A 1
 
10.0%
B 1
 
10.0%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
숙박업(일반)
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숙박업(일반)
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row숙박업(일반)
5th row숙박업(일반)

Common Values

ValueCountFrequency (%)
숙박업(일반) 32
100.0%

Length

2023-12-13T02:05:00.487448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:05:00.610328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업(일반 32
100.0%

서비스대상구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
내국인+외국인
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내국인+외국인
2nd row내국인+외국인
3rd row내국인+외국인
4th row내국인+외국인
5th row내국인+외국인

Common Values

ValueCountFrequency (%)
내국인+외국인 32
100.0%

Length

2023-12-13T02:05:00.798590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:05:00.929173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내국인+외국인 32
100.0%

소재지도로명주소
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T02:05:01.128129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.3125
Min length20

Characters and Unicode

Total characters714
Distinct characters61
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row충청북도 증평군 증평읍 중앙로12길 5
2nd row충청북도 증평군 증평읍 아랫장뜰길 31
3rd row충청북도 증평군 증평읍 윗장뜰길 53
4th row충청북도 증평군 증평읍 중앙로 216-7
5th row충청북도 증평군 증평읍 중앙로 194-14
ValueCountFrequency (%)
충청북도 32
19.4%
증평군 32
19.4%
증평읍 30
18.2%
중부로 9
 
5.5%
중앙로 6
 
3.6%
윗장뜰길 3
 
1.8%
쇠마루2길 3
 
1.8%
1023 2
 
1.2%
도안면 2
 
1.2%
a동 2
 
1.2%
Other values (41) 44
26.7%
2023-12-13T02:05:01.519093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
18.6%
증 62
 
8.7%
평 62
 
8.7%
도 35
 
4.9%
2 33
 
4.6%
충 32
 
4.5%
군 32
 
4.5%
청 32
 
4.5%
북 32
 
4.5%
읍 30
 
4.2%
Other values (51) 231
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
62.7%
Space Separator 133
 
18.6%
Decimal Number 115
 
16.1%
Dash Punctuation 10
 
1.4%
Other Punctuation 5
 
0.7%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
증 62
13.8%
평 62
13.8%
도 35
 
7.8%
충 32
 
7.1%
군 32
 
7.1%
청 32
 
7.1%
북 32
 
7.1%
읍 30
 
6.7%
로 23
 
5.1%
중 18
 
4.0%
Other values (36) 90
20.1%
Decimal Number
ValueCountFrequency (%)
2 33
28.7%
1 18
15.7%
3 15
13.0%
7 11
 
9.6%
6 11
 
9.6%
5 7
 
6.1%
9 7
 
6.1%
8 6
 
5.2%
4 4
 
3.5%
0 3
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
62.7%
Common 263
36.8%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
증 62
13.8%
평 62
13.8%
도 35
 
7.8%
충 32
 
7.1%
군 32
 
7.1%
청 32
 
7.1%
북 32
 
7.1%
읍 30
 
6.7%
로 23
 
5.1%
중 18
 
4.0%
Other values (36) 90
20.1%
Common
ValueCountFrequency (%)
133
50.6%
2 33
 
12.5%
1 18
 
6.8%
3 15
 
5.7%
7 11
 
4.2%
6 11
 
4.2%
- 10
 
3.8%
5 7
 
2.7%
9 7
 
2.7%
8 6
 
2.3%
Other values (3) 12
 
4.6%
Latin
ValueCountFrequency (%)
A 2
66.7%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
62.7%
ASCII 266
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
50.0%
2 33
 
12.4%
1 18
 
6.8%
3 15
 
5.6%
7 11
 
4.1%
6 11
 
4.1%
- 10
 
3.8%
5 7
 
2.6%
9 7
 
2.6%
8 6
 
2.3%
Other values (5) 15
 
5.6%
Hangul
ValueCountFrequency (%)
증 62
13.8%
평 62
13.8%
도 35
 
7.8%
충 32
 
7.1%
군 32
 
7.1%
청 32
 
7.1%
북 32
 
7.1%
읍 30
 
6.7%
로 23
 
5.1%
중 18
 
4.0%
Other values (36) 90
20.1%

소재지지번주소
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T02:05:01.742660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.3125
Min length20

Characters and Unicode

Total characters714
Distinct characters61
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row충청북도 증평군 증평읍 중앙로12길 5
2nd row충청북도 증평군 증평읍 아랫장뜰길 31
3rd row충청북도 증평군 증평읍 윗장뜰길 53
4th row충청북도 증평군 증평읍 중앙로 216-7
5th row충청북도 증평군 증평읍 중앙로 194-14
ValueCountFrequency (%)
충청북도 32
19.4%
증평군 32
19.4%
증평읍 30
18.2%
중부로 9
 
5.5%
중앙로 6
 
3.6%
윗장뜰길 3
 
1.8%
쇠마루2길 3
 
1.8%
1023 2
 
1.2%
도안면 2
 
1.2%
a동 2
 
1.2%
Other values (41) 44
26.7%
2023-12-13T02:05:02.138137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
18.6%
증 62
 
8.7%
평 62
 
8.7%
도 35
 
4.9%
2 33
 
4.6%
충 32
 
4.5%
군 32
 
4.5%
청 32
 
4.5%
북 32
 
4.5%
읍 30
 
4.2%
Other values (51) 231
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
62.7%
Space Separator 133
 
18.6%
Decimal Number 115
 
16.1%
Dash Punctuation 10
 
1.4%
Other Punctuation 5
 
0.7%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
증 62
13.8%
평 62
13.8%
도 35
 
7.8%
충 32
 
7.1%
군 32
 
7.1%
청 32
 
7.1%
북 32
 
7.1%
읍 30
 
6.7%
로 23
 
5.1%
중 18
 
4.0%
Other values (36) 90
20.1%
Decimal Number
ValueCountFrequency (%)
2 33
28.7%
1 18
15.7%
3 15
13.0%
7 11
 
9.6%
6 11
 
9.6%
5 7
 
6.1%
9 7
 
6.1%
8 6
 
5.2%
4 4
 
3.5%
0 3
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
62.7%
Common 263
36.8%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
증 62
13.8%
평 62
13.8%
도 35
 
7.8%
충 32
 
7.1%
군 32
 
7.1%
청 32
 
7.1%
북 32
 
7.1%
읍 30
 
6.7%
로 23
 
5.1%
중 18
 
4.0%
Other values (36) 90
20.1%
Common
ValueCountFrequency (%)
133
50.6%
2 33
 
12.5%
1 18
 
6.8%
3 15
 
5.7%
7 11
 
4.2%
6 11
 
4.2%
- 10
 
3.8%
5 7
 
2.7%
9 7
 
2.7%
8 6
 
2.3%
Other values (3) 12
 
4.6%
Latin
ValueCountFrequency (%)
A 2
66.7%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
62.7%
ASCII 266
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
50.0%
2 33
 
12.4%
1 18
 
6.8%
3 15
 
5.6%
7 11
 
4.1%
6 11
 
4.1%
- 10
 
3.8%
5 7
 
2.6%
9 7
 
2.6%
8 6
 
2.3%
Other values (5) 15
 
5.6%
Hangul
ValueCountFrequency (%)
증 62
13.8%
평 62
13.8%
도 35
 
7.8%
충 32
 
7.1%
군 32
 
7.1%
청 32
 
7.1%
북 32
 
7.1%
읍 30
 
6.7%
로 23
 
5.1%
중 18
 
4.0%
Other values (36) 90
20.1%

전화번호
Text

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T02:05:02.347537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.03125
Min length12

Characters and Unicode

Total characters385
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

Unique27 ?
Unique (%)84.4%

Sample

1st row043-836-2351
2nd row043-836-2353
3rd row043-836-2191
4th row043-836-2558
5th row043-836-2078
ValueCountFrequency (%)
043-838-5665 3
 
9.4%
043-838-2253 2
 
6.2%
043-838-1938 1
 
3.1%
043-836-2351 1
 
3.1%
043-838-9441 1
 
3.1%
043-836-4043 1
 
3.1%
043-838-1616 1
 
3.1%
043-836-3252 1
 
3.1%
043-838-4443 1
 
3.1%
070-7074-5989 1
 
3.1%
Other values (19) 19
59.4%
2023-12-13T02:05:02.684325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 74
19.2%
- 64
16.6%
8 54
14.0%
0 50
13.0%
4 44
11.4%
6 28
 
7.3%
5 26
 
6.8%
1 17
 
4.4%
2 14
 
3.6%
9 10
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 321
83.4%
Dash Punctuation 64
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 74
23.1%
8 54
16.8%
0 50
15.6%
4 44
13.7%
6 28
 
8.7%
5 26
 
8.1%
1 17
 
5.3%
2 14
 
4.4%
9 10
 
3.1%
7 4
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 74
19.2%
- 64
16.6%
8 54
14.0%
0 50
13.0%
4 44
11.4%
6 28
 
7.3%
5 26
 
6.8%
1 17
 
4.4%
2 14
 
3.6%
9 10
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 74
19.2%
- 64
16.6%
8 54
14.0%
0 50
13.0%
4 44
11.4%
6 28
 
7.3%
5 26
 
6.8%
1 17
 
4.4%
2 14
 
3.6%
9 10
 
2.6%

객실수
Real number (ℝ)

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.125
Minimum4
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T02:05:02.866360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7.1
Q115
median23.5
Q333
95-th percentile37.25
Maximum70
Range66
Interquartile range (IQR)18

Descriptive statistics

Standard deviation13.00062
Coefficient of variation (CV)0.53888582
Kurtosis3.6490998
Mean24.125
Median Absolute Deviation (MAD)9
Skewness1.1883773
Sum772
Variance169.01613
MonotonicityNot monotonic
2023-12-13T02:05:03.025516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
34 4
 
12.5%
15 3
 
9.4%
23 2
 
6.2%
8 2
 
6.2%
28 2
 
6.2%
33 2
 
6.2%
30 2
 
6.2%
70 1
 
3.1%
13 1
 
3.1%
29 1
 
3.1%
Other values (12) 12
37.5%
ValueCountFrequency (%)
4 1
 
3.1%
6 1
 
3.1%
8 2
6.2%
9 1
 
3.1%
12 1
 
3.1%
13 1
 
3.1%
15 3
9.4%
18 1
 
3.1%
19 1
 
3.1%
20 1
 
3.1%
ValueCountFrequency (%)
70 1
 
3.1%
40 1
 
3.1%
35 1
 
3.1%
34 4
12.5%
33 2
6.2%
30 2
6.2%
29 1
 
3.1%
28 2
6.2%
26 1
 
3.1%
24 1
 
3.1%

주차장보유여부
Text

MISSING 

Distinct16
Distinct (%)61.5%
Missing6
Missing (%)18.8%
Memory size388.0 B
2023-12-13T02:05:03.175124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6923077
Min length4

Characters and Unicode

Total characters148
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

Unique13 ?
Unique (%)50.0%

Sample

1st row3대주차
2nd row23대 주차
3rd row5대 주차
4th row20대주차
5th row20대 주차
ValueCountFrequency (%)
주차 20
40.0%
20대 8
 
16.0%
5대 4
 
8.0%
21대 2
 
4.0%
대 2
 
4.0%
가능 2
 
4.0%
22대 1
 
2.0%
25대 1
 
2.0%
8대 1
 
2.0%
10대 1
 
2.0%
Other values (8) 8
 
16.0%
2023-12-13T02:05:03.478553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 26
17.6%
24
16.2%
주 24
16.2%
차 24
16.2%
2 18
12.2%
0 12
8.1%
5 6
 
4.1%
1 5
 
3.4%
3 3
 
2.0%
가 2
 
1.4%
Other values (2) 4
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
52.7%
Decimal Number 46
31.1%
Space Separator 24
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 18
39.1%
0 12
26.1%
5 6
 
13.0%
1 5
 
10.9%
3 3
 
6.5%
8 2
 
4.3%
Other Letter
ValueCountFrequency (%)
대 26
33.3%
주 24
30.8%
차 24
30.8%
가 2
 
2.6%
능 2
 
2.6%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
52.7%
Common 70
47.3%

Most frequent character per script

Common
ValueCountFrequency (%)
24
34.3%
2 18
25.7%
0 12
17.1%
5 6
 
8.6%
1 5
 
7.1%
3 3
 
4.3%
8 2
 
2.9%
Hangul
ValueCountFrequency (%)
대 26
33.3%
주 24
30.8%
차 24
30.8%
가 2
 
2.6%
능 2
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
52.7%
ASCII 70
47.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 26
33.3%
주 24
30.8%
차 24
30.8%
가 2
 
2.6%
능 2
 
2.6%
ASCII
ValueCountFrequency (%)
24
34.3%
2 18
25.7%
0 12
17.1%
5 6
 
8.6%
1 5
 
7.1%
3 3
 
4.3%
8 2
 
2.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2022-08-19 00:00:00
Maximum2022-08-19 00:00:00
2023-12-13T02:05:03.597439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:05:03.687119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T02:04:59.336249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:05:04.101384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지도로명주소소재지지번주소전화번호객실수주차장보유여부
업소명1.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0000.9710.977
객실수1.0001.0001.0000.9711.0000.914
주차장보유여부1.0001.0001.0000.9770.9141.000

Missing values

2023-12-13T02:04:59.470334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:04:59.648057image/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

업소명업종명서비스대상구분소재지도로명주소소재지지번주소전화번호객실수주차장보유여부데이터기준일자
0부여여인숙숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중앙로12길 5충청북도 증평군 증평읍 중앙로12길 5043-836-235112<NA>2022-08-19
1현수장여관숙박업(일반)내국인+외국인충청북도 증평군 증평읍 아랫장뜰길 31충청북도 증평군 증평읍 아랫장뜰길 31043-836-235318<NA>2022-08-19
2충북장여관숙박업(일반)내국인+외국인충청북도 증평군 증평읍 윗장뜰길 53충청북도 증평군 증평읍 윗장뜰길 53043-836-2191203대주차2022-08-19
3초원여인숙숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중앙로 216-7충청북도 증평군 증평읍 중앙로 216-7043-836-25588<NA>2022-08-19
4수정여관숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중앙로 194-14충청북도 증평군 증평읍 중앙로 194-14043-836-207815<NA>2022-08-19
5증평여인숙숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중앙로 236-9충청북도 증평군 증평읍 중앙로 236-9043-836-36009<NA>2022-08-19
6그랜드모텔숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중앙로 268충청북도 증평군 증평읍 중앙로 268043-836-19444023대 주차2022-08-19
7서울여인숙숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중앙로 226충청북도 증평군 증평읍 중앙로 226043-838-60806<NA>2022-08-19
8태평파크장여관숙박업(일반)내국인+외국인충청북도 증평군 증평읍 윗장뜰길 29충청북도 증평군 증평읍 윗장뜰길 29043-836-5511285대 주차2022-08-19
9프리마모텔숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중앙로 193-7충청북도 증평군 증평읍 중앙로 193-7043-836-60013320대주차2022-08-19
업소명업종명서비스대상구분소재지도로명주소소재지지번주소전화번호객실수주차장보유여부데이터기준일자
22율리 휴양촌숙박업(일반)내국인+외국인충청북도 증평군 증평읍 율리휴양로 287충청북도 증평군 증평읍 율리휴양로 287043-835-4852410대 가능2022-08-19
23영파크숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중부로 2267-2충청북도 증평군 증평읍 중부로 2267-2043-838-56651920대 가능2022-08-19
24몽무인텔숙박업(일반)내국인+외국인충청북도 증평군 증평읍 아랫장뜰길 15충청북도 증평군 증평읍 아랫장뜰길 15070-7074-59892920대 주차2022-08-19
25청자모텔숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중앙로10길 12충청북도 증평군 증평읍 중앙로10길 12043-838-4443135대 주차2022-08-19
26월드파크숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중부로 2267-1, D동충청북도 증평군 증평읍 중부로 2267-1, D동043-838-56652320대 주차2022-08-19
27미로파크숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중부로 2267-3, A동충청북도 증평군 증평읍 중부로 2267-3, A동043-838-56653020대 주차2022-08-19
28금성여관숙박업(일반)내국인+외국인충청북도 증평군 증평읍 윗장뜰길 32-1충청북도 증평군 증평읍 윗장뜰길 32-1043-836-325288대 주차2022-08-19
29증평리조텔숙박업(일반)내국인+외국인충청북도 증평군 증평읍 쇠마루2길 97충청북도 증평군 증평읍 쇠마루2길 97043-838-1616345대 주차2022-08-19
30마중호텔숙박업(일반)내국인+외국인충청북도 증평군 증평읍 중부로 2315, 마중호텔충청북도 증평군 증평읍 중부로 2315, 마중호텔043-836-40433420대 주차2022-08-19
31(주) 블랙스톤에듀팜리조트숙박업(일반)내국인+외국인충청북도 증평군 도안면 벨포레길 346, 클럽하우스충청북도 증평군 도안면 벨포레길 346, 클럽하우스043-926-10007081대주차2022-08-19