Overview

Dataset statistics

Number of variables6
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory55.5 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description의령군 관내 숙박업소의 정보입니다. 숙박업소명과 업소 소재지의 도로명 주소, 소재지 전화번호, 우편번호 정보를 제공하는 데이터 입니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15053069

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
업소소재지(도로명) has unique valuesUnique
소재지전화 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:27:32.447774
Analysis finished2023-12-10 23:27:33.112923
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T08:27:33.168377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-11T08:27:33.287063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

업소명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T08:27:33.698258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.5
Min length4

Characters and Unicode

Total characters132
Distinct characters63
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

Unique24 ?
Unique (%)100.0%

Sample

1st row의령현대장여관
2nd row만리장여관
3rd row로얄장여관
4th row대경장모텔
5th row아젤리아 모텔
ValueCountFrequency (%)
의령현대장여관 1
 
3.8%
만리장여관 1
 
3.8%
벽계관광지 1
 
3.8%
레드무인텔 1
 
3.8%
하얏트모텔 1
 
3.8%
산에모텔 1
 
3.8%
베니스모텔 1
 
3.8%
아비숑모텔 1
 
3.8%
크리스탈모텔 1
 
3.8%
밴쿠버모텔 1
 
3.8%
Other values (16) 16
61.5%
2023-12-11T08:27:34.089342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 18
 
13.6%
모 17
 
12.9%
장 7
 
5.3%
관 6
 
4.5%
여 5
 
3.8%
리 5
 
3.8%
의 3
 
2.3%
스 3
 
2.3%
대 3
 
2.3%
아 3
 
2.3%
Other values (53) 62
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130
98.5%
Space Separator 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 18
 
13.8%
모 17
 
13.1%
장 7
 
5.4%
관 6
 
4.6%
여 5
 
3.8%
리 5
 
3.8%
의 3
 
2.3%
스 3
 
2.3%
대 3
 
2.3%
아 3
 
2.3%
Other values (52) 60
46.2%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130
98.5%
Common 2
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 18
 
13.8%
모 17
 
13.1%
장 7
 
5.4%
관 6
 
4.6%
여 5
 
3.8%
리 5
 
3.8%
의 3
 
2.3%
스 3
 
2.3%
대 3
 
2.3%
아 3
 
2.3%
Other values (52) 60
46.2%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130
98.5%
ASCII 2
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 18
 
13.8%
모 17
 
13.1%
장 7
 
5.4%
관 6
 
4.6%
여 5
 
3.8%
리 5
 
3.8%
의 3
 
2.3%
스 3
 
2.3%
대 3
 
2.3%
아 3
 
2.3%
Other values (52) 60
46.2%
ASCII
ValueCountFrequency (%)
2
100.0%

업소소재지(도로명)
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T08:27:34.281204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24.5
Mean length22.083333
Min length19

Characters and Unicode

Total characters530
Distinct characters47
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row경상남도 의령군 의령읍 의병로14길 22-4
2nd row경상남도 의령군 의령읍 의병로22길 30-1
3rd row경상남도 의령군 의령읍 충익로 18
4th row경상남도 의령군 의령읍 의병로7길 10-2
5th row경상남도 의령군 의령읍 의병로7길 21
ValueCountFrequency (%)
경상남도 24
19.5%
의령군 24
19.5%
의령읍 18
14.6%
의병로7길 7
 
5.7%
부림면 3
 
2.4%
충익로 3
 
2.4%
의병로6길 3
 
2.4%
벽화로 2
 
1.6%
대의면 2
 
1.6%
8 2
 
1.6%
Other values (32) 35
28.5%
2023-12-11T08:27:34.635224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
18.7%
의 58
 
10.9%
령 42
 
7.9%
경 24
 
4.5%
로 24
 
4.5%
남 24
 
4.5%
도 24
 
4.5%
군 24
 
4.5%
상 24
 
4.5%
읍 18
 
3.4%
Other values (37) 169
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 337
63.6%
Space Separator 99
 
18.7%
Decimal Number 79
 
14.9%
Dash Punctuation 13
 
2.5%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 58
17.2%
령 42
12.5%
경 24
 
7.1%
로 24
 
7.1%
남 24
 
7.1%
도 24
 
7.1%
군 24
 
7.1%
상 24
 
7.1%
읍 18
 
5.3%
길 15
 
4.5%
Other values (24) 60
17.8%
Decimal Number
ValueCountFrequency (%)
1 16
20.3%
2 14
17.7%
7 10
12.7%
8 7
8.9%
4 6
 
7.6%
3 6
 
7.6%
6 6
 
7.6%
5 6
 
7.6%
0 5
 
6.3%
9 3
 
3.8%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 337
63.6%
Common 193
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 58
17.2%
령 42
12.5%
경 24
 
7.1%
로 24
 
7.1%
남 24
 
7.1%
도 24
 
7.1%
군 24
 
7.1%
상 24
 
7.1%
읍 18
 
5.3%
길 15
 
4.5%
Other values (24) 60
17.8%
Common
ValueCountFrequency (%)
99
51.3%
1 16
 
8.3%
2 14
 
7.3%
- 13
 
6.7%
7 10
 
5.2%
8 7
 
3.6%
4 6
 
3.1%
3 6
 
3.1%
6 6
 
3.1%
5 6
 
3.1%
Other values (3) 10
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 337
63.6%
ASCII 193
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
51.3%
1 16
 
8.3%
2 14
 
7.3%
- 13
 
6.7%
7 10
 
5.2%
8 7
 
3.6%
4 6
 
3.1%
3 6
 
3.1%
6 6
 
3.1%
5 6
 
3.1%
Other values (3) 10
 
5.2%
Hangul
ValueCountFrequency (%)
의 58
17.2%
령 42
12.5%
경 24
 
7.1%
로 24
 
7.1%
남 24
 
7.1%
도 24
 
7.1%
군 24
 
7.1%
상 24
 
7.1%
읍 18
 
5.3%
길 15
 
4.5%
Other values (24) 60
17.8%

소재지전화
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T08:27:34.839472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row055-573-7775
2nd row055-572-2322
3rd row055-573-7272
4th row055-572-0334
5th row055-572-9666
ValueCountFrequency (%)
055-573-7775 1
 
4.2%
055-572-2322 1
 
4.2%
055-573-7448 1
 
4.2%
055-572-2737 1
 
4.2%
055-572-1114 1
 
4.2%
055-572-6622 1
 
4.2%
055-573-0066 1
 
4.2%
055-573-0266 1
 
4.2%
055-573-1033 1
 
4.2%
055-573-2130 1
 
4.2%
Other values (14) 14
58.3%
2023-12-11T08:27:35.167056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 78
27.1%
- 48
16.7%
7 38
13.2%
0 34
11.8%
2 25
 
8.7%
3 21
 
7.3%
6 14
 
4.9%
1 12
 
4.2%
4 11
 
3.8%
8 4
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 78
32.5%
7 38
15.8%
0 34
14.2%
2 25
 
10.4%
3 21
 
8.8%
6 14
 
5.8%
1 12
 
5.0%
4 11
 
4.6%
8 4
 
1.7%
9 3
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 78
27.1%
- 48
16.7%
7 38
13.2%
0 34
11.8%
2 25
 
8.7%
3 21
 
7.3%
6 14
 
4.9%
1 12
 
4.2%
4 11
 
3.8%
8 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 78
27.1%
- 48
16.7%
7 38
13.2%
0 34
11.8%
2 25
 
8.7%
3 21
 
7.3%
6 14
 
4.9%
1 12
 
4.2%
4 11
 
3.8%
8 4
 
1.4%

우편번호(도로명)
Real number (ℝ)

Distinct8
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52136.75
Minimum52104
Maximum52158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T08:27:35.291067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52104
5-th percentile52104
Q152137.25
median52138
Q352148
95-th percentile52156.8
Maximum52158
Range54
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation15.326164
Coefficient of variation (CV)0.00029396086
Kurtosis0.85172528
Mean52136.75
Median Absolute Deviation (MAD)6
Skewness-1.1511221
Sum1251282
Variance234.8913
MonotonicityNot monotonic
2023-12-11T08:27:35.396495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
52138 10
41.7%
52148 4
 
16.7%
52104 3
 
12.5%
52158 2
 
8.3%
52135 2
 
8.3%
52150 1
 
4.2%
52147 1
 
4.2%
52115 1
 
4.2%
ValueCountFrequency (%)
52104 3
 
12.5%
52115 1
 
4.2%
52135 2
 
8.3%
52138 10
41.7%
52147 1
 
4.2%
52148 4
 
16.7%
52150 1
 
4.2%
52158 2
 
8.3%
ValueCountFrequency (%)
52158 2
 
8.3%
52150 1
 
4.2%
52148 4
 
16.7%
52147 1
 
4.2%
52138 10
41.7%
52135 2
 
8.3%
52115 1
 
4.2%
52104 3
 
12.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2020-12-11
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-11
2nd row2020-12-11
3rd row2020-12-11
4th row2020-12-11
5th row2020-12-11

Common Values

ValueCountFrequency (%)
2020-12-11 24
100.0%

Length

2023-12-11T08:27:35.509317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:27:35.598269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-11 24
100.0%

Interactions

2023-12-11T08:27:32.784629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:32.632275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:32.868466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:32.702188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:27:35.650085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명업소소재지(도로명)소재지전화우편번호(도로명)
연번1.0001.0001.0001.0000.409
업소명1.0001.0001.0001.0001.000
업소소재지(도로명)1.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.000
우편번호(도로명)0.4091.0001.0001.0001.000
2023-12-11T08:27:35.744237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호(도로명)
연번1.000-0.253
우편번호(도로명)-0.2531.000

Missing values

2023-12-11T08:27:32.988405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:27:33.077155image/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

연번업소명업소소재지(도로명)소재지전화우편번호(도로명)데이터기준일
01의령현대장여관경상남도 의령군 의령읍 의병로14길 22-4055-573-7775521502020-12-11
12만리장여관경상남도 의령군 의령읍 의병로22길 30-1055-572-2322521482020-12-11
23로얄장여관경상남도 의령군 의령읍 충익로 18055-573-7272521482020-12-11
34대경장모텔경상남도 의령군 의령읍 의병로7길 10-2055-572-0334521382020-12-11
45아젤리아 모텔경상남도 의령군 의령읍 의병로7길 21055-572-9666521382020-12-11
56자연속의리조트휴모텔경상남도 의령군 의령읍 벽화로 535055-572-2424521582020-12-11
67성수모텔경상남도 의령군 의령읍 의병로6길 9-3055-572-1819521382020-12-11
78잠자리모텔경상남도 의령군 의령읍 의병로7길 8055-573-5770521382020-12-11
89산장궁전여관경상남도 의령군 대의면 대의로 74-1055-572-9158521352020-12-11
910제일장여관경상남도 의령군 부림면 신번로 170055-574-3510521042020-12-11
연번업소명업소소재지(도로명)소재지전화우편번호(도로명)데이터기준일
1415스카이모텔경상남도 의령군 의령읍 의병로7길 15-3055-573-6363521382020-12-11
1516신세계모텔경상남도 의령군 의령읍 의병로23길 6-8055-573-2130521472020-12-11
1617밴쿠버모텔경상남도 의령군 의령읍 의병로7길 15-4055-573-1033521382020-12-11
1718크리스탈모텔경상남도 의령군 의령읍 충익로 20-8055-573-0266521482020-12-11
1819아비숑모텔경상남도 의령군 의령읍 의병로6길 8055-573-0066521382020-12-11
1920베니스모텔경상남도 의령군 의령읍 의병로7길 5-2055-572-6622521382020-12-11
2021산에모텔경상남도 의령군 대의면 한티로 251-11055-572-1114521352020-12-11
2122하얏트모텔경상남도 의령군 의령읍 의병로7길 9-3055-572-2737521382020-12-11
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