Overview

Dataset statistics

Number of variables4
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory36.3 B

Variable types

Numeric1
Text3

Dataset

Description경상북도에 있는 자동차학원의 현황으로 각 운전학원의 지역, 학원명, 전화번호, 주소, 데이터를 나타내고 있습니다.
URLhttps://www.data.go.kr/data/15105346/fileData.do

Alerts

연번 has unique valuesUnique
학원명 has unique valuesUnique
전화번호 has unique valuesUnique
주 소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:15:01.630200
Analysis finished2023-12-12 20:15:02.043784
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T05:15:02.114196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2023-12-13T05:15:02.244207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

학원명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T05:15:02.453596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.15
Min length2

Characters and Unicode

Total characters166
Distinct characters60
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

Unique40 ?
Unique (%)100.0%

Sample

1st row영주
2nd row경의
3rd row(김천)현대
4th row천마
5th row(영천)현대
ValueCountFrequency (%)
영주 1
 
2.5%
경의 1
 
2.5%
구미)인동 1
 
2.5%
최신 1
 
2.5%
화성 1
 
2.5%
주)연화재 1
 
2.5%
청도)화양 1
 
2.5%
경산수성 1
 
2.5%
포항경북 1
 
2.5%
영주제일 1
 
2.5%
Other values (30) 30
75.0%
2023-12-13T05:15:02.753717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 17
 
10.2%
) 17
 
10.2%
경 9
 
5.4%
주 9
 
5.4%
영 8
 
4.8%
천 6
 
3.6%
대 6
 
3.6%
화 5
 
3.0%
미 5
 
3.0%
현 5
 
3.0%
Other values (50) 79
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
79.5%
Open Punctuation 17
 
10.2%
Close Punctuation 17
 
10.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 9
 
6.8%
주 9
 
6.8%
영 8
 
6.1%
천 6
 
4.5%
대 6
 
4.5%
화 5
 
3.8%
미 5
 
3.8%
현 5
 
3.8%
구 5
 
3.8%
성 4
 
3.0%
Other values (48) 70
53.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
79.5%
Common 34
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 9
 
6.8%
주 9
 
6.8%
영 8
 
6.1%
천 6
 
4.5%
대 6
 
4.5%
화 5
 
3.8%
미 5
 
3.8%
현 5
 
3.8%
구 5
 
3.8%
성 4
 
3.0%
Other values (48) 70
53.0%
Common
ValueCountFrequency (%)
( 17
50.0%
) 17
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
79.5%
ASCII 34
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 17
50.0%
) 17
50.0%
Hangul
ValueCountFrequency (%)
경 9
 
6.8%
주 9
 
6.8%
영 8
 
6.1%
천 6
 
4.5%
대 6
 
4.5%
화 5
 
3.8%
미 5
 
3.8%
현 5
 
3.8%
구 5
 
3.8%
성 4
 
3.0%
Other values (48) 70
53.0%

전화번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T05:15:02.955174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.225
Min length12

Characters and Unicode

Total characters489
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row054-633-3737
2nd row054-833-3030
3rd row054-3355,3388
4th row054-774-1234
5th row054-334-3697
ValueCountFrequency (%)
054-633-3737 1
 
2.5%
054-833-3030 1
 
2.5%
054-475-7000 1
 
2.5%
054-443-8282 1
 
2.5%
054-859-1661 1
 
2.5%
054-262-3020 1
 
2.5%
054-373-7800 1
 
2.5%
053-818-4000 1
 
2.5%
054-285-0888 1
 
2.5%
054-632-1771/2 1
 
2.5%
Other values (30) 30
75.0%
2023-12-13T05:15:03.427883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 79
16.2%
0 75
15.3%
5 65
13.3%
4 55
11.2%
8 46
9.4%
3 45
9.2%
7 45
9.2%
2 23
 
4.7%
1 22
 
4.5%
6 16
 
3.3%
Other values (3) 18
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 405
82.8%
Dash Punctuation 79
 
16.2%
Other Punctuation 5
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
18.5%
5 65
16.0%
4 55
13.6%
8 46
11.4%
3 45
11.1%
7 45
11.1%
2 23
 
5.7%
1 22
 
5.4%
6 16
 
4.0%
9 13
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 4
80.0%
, 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 489
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 79
16.2%
0 75
15.3%
5 65
13.3%
4 55
11.2%
8 46
9.4%
3 45
9.2%
7 45
9.2%
2 23
 
4.7%
1 22
 
4.5%
6 16
 
3.3%
Other values (3) 18
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 489
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 79
16.2%
0 75
15.3%
5 65
13.3%
4 55
11.2%
8 46
9.4%
3 45
9.2%
7 45
9.2%
2 23
 
4.7%
1 22
 
4.5%
6 16
 
3.3%
Other values (3) 18
 
3.7%

주 소
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T05:15:03.742158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length30.1
Min length17

Characters and Unicode

Total characters1204
Distinct characters132
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row경북 영주시 필두길50번길 99, (상줄동)
2nd row경북 의성군 의성읍 북원3길 51-7
3rd row경북 김천시 시청로 114, (신음동, 김천현대자동차운전학원)
4th row경북 경주시 광중길 14, (용강동, 천마자동차운전전문학원)
5th row경북 영천시 망정1길 80, (망정동)
ValueCountFrequency (%)
경북 39
 
16.6%
포항시 5
 
2.1%
구미시 5
 
2.1%
경산시 4
 
1.7%
영주시 4
 
1.7%
안동시 3
 
1.3%
경주시 3
 
1.3%
남구 3
 
1.3%
울진 2
 
0.9%
고아읍 2
 
0.9%
Other values (159) 165
70.2%
2023-12-13T05:15:04.222608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
 
16.2%
경 56
 
4.7%
동 54
 
4.5%
북 47
 
3.9%
, 45
 
3.7%
( 33
 
2.7%
) 33
 
2.7%
원 32
 
2.7%
자 31
 
2.6%
시 31
 
2.6%
Other values (122) 647
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 750
62.3%
Space Separator 195
 
16.2%
Decimal Number 136
 
11.3%
Other Punctuation 45
 
3.7%
Open Punctuation 33
 
2.7%
Close Punctuation 33
 
2.7%
Dash Punctuation 12
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 56
 
7.5%
동 54
 
7.2%
북 47
 
6.3%
원 32
 
4.3%
자 31
 
4.1%
시 31
 
4.1%
학 31
 
4.1%
전 30
 
4.0%
차 30
 
4.0%
운 27
 
3.6%
Other values (107) 381
50.8%
Decimal Number
ValueCountFrequency (%)
1 27
19.9%
2 18
13.2%
4 17
12.5%
3 16
11.8%
6 15
11.0%
8 10
 
7.4%
0 10
 
7.4%
5 9
 
6.6%
7 7
 
5.1%
9 7
 
5.1%
Space Separator
ValueCountFrequency (%)
195
100.0%
Other Punctuation
ValueCountFrequency (%)
, 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 750
62.3%
Common 454
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 56
 
7.5%
동 54
 
7.2%
북 47
 
6.3%
원 32
 
4.3%
자 31
 
4.1%
시 31
 
4.1%
학 31
 
4.1%
전 30
 
4.0%
차 30
 
4.0%
운 27
 
3.6%
Other values (107) 381
50.8%
Common
ValueCountFrequency (%)
195
43.0%
, 45
 
9.9%
( 33
 
7.3%
) 33
 
7.3%
1 27
 
5.9%
2 18
 
4.0%
4 17
 
3.7%
3 16
 
3.5%
6 15
 
3.3%
- 12
 
2.6%
Other values (5) 43
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 750
62.3%
ASCII 454
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
43.0%
, 45
 
9.9%
( 33
 
7.3%
) 33
 
7.3%
1 27
 
5.9%
2 18
 
4.0%
4 17
 
3.7%
3 16
 
3.5%
6 15
 
3.3%
- 12
 
2.6%
Other values (5) 43
 
9.5%
Hangul
ValueCountFrequency (%)
경 56
 
7.5%
동 54
 
7.2%
북 47
 
6.3%
원 32
 
4.3%
자 31
 
4.1%
시 31
 
4.1%
학 31
 
4.1%
전 30
 
4.0%
차 30
 
4.0%
운 27
 
3.6%
Other values (107) 381
50.8%

Interactions

2023-12-13T05:15:01.841803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:15:04.343151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번학원명전화번호주 소
연번1.0001.0001.0001.000
학원명1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
주 소1.0001.0001.0001.000

Missing values

2023-12-13T05:15:01.948937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:15:02.015392image/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

연번학원명전화번호주 소
01영주054-633-3737경북 영주시 필두길50번길 99, (상줄동)
12경의054-833-3030경북 의성군 의성읍 북원3길 51-7
23(김천)현대054-3355,3388경북 김천시 시청로 114, (신음동, 김천현대자동차운전학원)
34천마054-774-1234경북 경주시 광중길 14, (용강동, 천마자동차운전전문학원)
45(영천)현대054-334-3697경북 영천시 망정1길 80, (망정동)
56대영054-636-9188/9경북 영주시 영봉로 35-15 (휴천동, 대영자동차운전학원)
67새한일054-533-9988경북 상주시 경상대로 2725, (가장동)
78(경산)남부053-811-1101경북 경산시 중방로 124, (계양동, 경산남부자동차학원)
89예천054-654-3759경북 예천군 예천읍 도효자로 62-15, (예천자동차전문학원)
910(영천)성림054-332-7777경북 영천시 금호읍 금호로 338-40
연번학원명전화번호주 소
3031(청송)문화054-847-3113경북 청송군 진보면 못안길 65
3132(구미)남구미054-464-5522경북 구미시 오태1길 74, (오태동, 남구미자동차운전학원)
3233(칠곡)우리054-972-7777경북 칠곡군 북삼읍 경호천서길 72, (우리자동차운전학원)
3334(주)경포054-284-9997경북 포항시 남구 동해면 약전로115번길 69, (경포자동차운전학원)
3435(구미)공단054-472-7007경북 구미시 옥계2공단로 238, (구포동, 공단자동차운전학원)
3536포항현대054-277-8888경북 포항시 남구 오천읍 철강로 862, (포항현대자동차운전학원)
3637왜관054-973-8100경북 칠곡군 약목면 무림4길 41, (왜관자동차운전학원)
3738(울진)제일054-781-7007경북 울진 울진 연지 741-2
3839옥동현대054-857-5588경북 안동시 쉼텃길 62-9, (옥동, 옥동현대자동차운전학원)
3940(포항)흥해경북053-262-8888경북 포항시 북구 흥해읍 덕실마을길3번길 62, (흥해자동차운전학원)