Overview

Dataset statistics

Number of variables6
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory52.2 B

Variable types

Numeric2
Text3
DateTime1

Dataset

Description고령교육지원청 내 학원 및 교습소 현황
Author경상북도교육청 경상북도고령교육지원청
URLhttps://www.data.go.kr/data/3076730/fileData.do

Alerts

번호 has unique valuesUnique
설립자-성명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:45:05.327992
Analysis finished2023-12-12 19:45:06.277563
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-13T04:45:06.347926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2023-12-13T04:45:06.519827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%
52 1
1.6%

학원명
Text

Distinct45
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T04:45:06.800017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length10.836066
Min length4

Characters and Unicode

Total characters661
Distinct characters124
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

Unique44 ?
Unique (%)72.1%

Sample

1st row단비영수학원
2nd row글방학원
3rd row피아노포르테음악학원
4th row에이스영어학원
5th row얀수학학원
ValueCountFrequency (%)
개인과외교습자 17
14.8%
및 17
14.8%
보습 17
14.8%
입시.검정 17
14.8%
김앤(&)채영어교습소 1
 
0.9%
하늘소리피아노교습소 1
 
0.9%
피아노숲교습소 1
 
0.9%
그린영어교습소 1
 
0.9%
아트숲미술교습소 1
 
0.9%
아인스수학교습소 1
 
0.9%
Other values (41) 41
35.7%
2023-12-13T04:45:07.299009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
습 57
 
8.6%
54
 
8.2%
교 40
 
6.1%
학 31
 
4.7%
소 24
 
3.6%
원 22
 
3.3%
정 19
 
2.9%
인 18
 
2.7%
시 18
 
2.7%
개 17
 
2.6%
Other values (114) 361
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 543
82.1%
Space Separator 54
 
8.2%
Other Punctuation 36
 
5.4%
Lowercase Letter 14
 
2.1%
Uppercase Letter 10
 
1.5%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
습 57
 
10.5%
교 40
 
7.4%
학 31
 
5.7%
소 24
 
4.4%
원 22
 
4.1%
정 19
 
3.5%
인 18
 
3.3%
시 18
 
3.3%
개 17
 
3.1%
보 17
 
3.1%
Other values (89) 280
51.6%
Lowercase Letter
ValueCountFrequency (%)
s 2
14.3%
n 2
14.3%
y 1
7.1%
e 1
7.1%
k 1
7.1%
l 1
7.1%
a 1
7.1%
c 1
7.1%
t 1
7.1%
i 1
7.1%
Other values (2) 2
14.3%
Uppercase Letter
ValueCountFrequency (%)
G 3
30.0%
B 2
20.0%
U 1
 
10.0%
N 1
 
10.0%
K 1
 
10.0%
S 1
 
10.0%
O 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 17
47.2%
, 17
47.2%
& 2
 
5.6%
Space Separator
ValueCountFrequency (%)
54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 543
82.1%
Common 94
 
14.2%
Latin 24
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
습 57
 
10.5%
교 40
 
7.4%
학 31
 
5.7%
소 24
 
4.4%
원 22
 
4.1%
정 19
 
3.5%
인 18
 
3.3%
시 18
 
3.3%
개 17
 
3.1%
보 17
 
3.1%
Other values (89) 280
51.6%
Latin
ValueCountFrequency (%)
G 3
 
12.5%
B 2
 
8.3%
s 2
 
8.3%
n 2
 
8.3%
y 1
 
4.2%
e 1
 
4.2%
k 1
 
4.2%
l 1
 
4.2%
a 1
 
4.2%
c 1
 
4.2%
Other values (9) 9
37.5%
Common
ValueCountFrequency (%)
54
57.4%
. 17
 
18.1%
, 17
 
18.1%
( 2
 
2.1%
) 2
 
2.1%
& 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 543
82.1%
ASCII 118
 
17.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
습 57
 
10.5%
교 40
 
7.4%
학 31
 
5.7%
소 24
 
4.4%
원 22
 
4.1%
정 19
 
3.5%
인 18
 
3.3%
시 18
 
3.3%
개 17
 
3.1%
보 17
 
3.1%
Other values (89) 280
51.6%
ASCII
ValueCountFrequency (%)
54
45.8%
. 17
 
14.4%
, 17
 
14.4%
G 3
 
2.5%
( 2
 
1.7%
B 2
 
1.7%
s 2
 
1.7%
) 2
 
1.7%
& 2
 
1.7%
n 2
 
1.7%
Other values (15) 15
 
12.7%

학원주소
Text

Distinct52
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T04:45:07.616221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length29.327869
Min length19

Characters and Unicode

Total characters1789
Distinct characters99
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

Unique49 ?
Unique (%)80.3%

Sample

1st row경상북도 고령군 다산면 상곡1길 4 (다산면)
2nd row경상북도 고령군 대가야읍 우륵로 50 (대가야읍)
3rd row경상북도 고령군 대가야읍 왕정길 13-1 (대가야읍)
4th row경상북도 고령군 대가야읍 쾌빈3길 18 (대가야읍)
5th row경상북도 고령군 다산면 상곡길 41, 다산펠리스 1층 (다산면)
ValueCountFrequency (%)
대가야읍 70
17.7%
경상북도 61
15.4%
고령군 61
15.4%
다산면 28
 
7.1%
우륵로 19
 
4.8%
쾌빈3길 6
 
1.5%
18 6
 
1.5%
상곡1길 5
 
1.3%
3 4
 
1.0%
39 4
 
1.0%
Other values (96) 132
33.3%
2023-12-13T04:45:08.099310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
335
 
18.7%
상 75
 
4.2%
가 72
 
4.0%
야 70
 
3.9%
대 70
 
3.9%
읍 70
 
3.9%
고 64
 
3.6%
령 63
 
3.5%
경 61
 
3.4%
군 61
 
3.4%
Other values (89) 848
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1117
62.4%
Space Separator 335
 
18.7%
Decimal Number 225
 
12.6%
Open Punctuation 41
 
2.3%
Close Punctuation 41
 
2.3%
Other Punctuation 14
 
0.8%
Dash Punctuation 10
 
0.6%
Uppercase Letter 4
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 75
 
6.7%
가 72
 
6.4%
야 70
 
6.3%
대 70
 
6.3%
읍 70
 
6.3%
고 64
 
5.7%
령 63
 
5.6%
경 61
 
5.5%
군 61
 
5.5%
도 61
 
5.5%
Other values (69) 450
40.3%
Decimal Number
ValueCountFrequency (%)
1 59
26.2%
3 34
15.1%
0 32
14.2%
2 27
12.0%
4 22
 
9.8%
8 18
 
8.0%
5 12
 
5.3%
9 9
 
4.0%
6 7
 
3.1%
7 5
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
K 1
25.0%
T 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
t 1
50.0%
Space Separator
ValueCountFrequency (%)
335
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1117
62.4%
Common 666
37.2%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 75
 
6.7%
가 72
 
6.4%
야 70
 
6.3%
대 70
 
6.3%
읍 70
 
6.3%
고 64
 
5.7%
령 63
 
5.6%
경 61
 
5.5%
군 61
 
5.5%
도 61
 
5.5%
Other values (69) 450
40.3%
Common
ValueCountFrequency (%)
335
50.3%
1 59
 
8.9%
( 41
 
6.2%
) 41
 
6.2%
3 34
 
5.1%
0 32
 
4.8%
2 27
 
4.1%
4 22
 
3.3%
8 18
 
2.7%
, 14
 
2.1%
Other values (5) 43
 
6.5%
Latin
ValueCountFrequency (%)
A 2
33.3%
K 1
16.7%
k 1
16.7%
t 1
16.7%
T 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1117
62.4%
ASCII 672
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
335
49.9%
1 59
 
8.8%
( 41
 
6.1%
) 41
 
6.1%
3 34
 
5.1%
0 32
 
4.8%
2 27
 
4.0%
4 22
 
3.3%
8 18
 
2.7%
, 14
 
2.1%
Other values (10) 49
 
7.3%
Hangul
ValueCountFrequency (%)
상 75
 
6.7%
가 72
 
6.4%
야 70
 
6.3%
대 70
 
6.3%
읍 70
 
6.3%
고 64
 
5.7%
령 63
 
5.6%
경 61
 
5.5%
군 61
 
5.5%
도 61
 
5.5%
Other values (69) 450
40.3%

설립자-성명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T04:45:08.443306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters183
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row서연화
2nd row임경애
3rd row서혜정
4th row이미영
5th row최원근
ValueCountFrequency (%)
서연화 1
 
1.6%
임상재 1
 
1.6%
권은영 1
 
1.6%
김나연 1
 
1.6%
채흔숙 1
 
1.6%
박지은 1
 
1.6%
윤수정 1
 
1.6%
김미정 1
 
1.6%
이서하 1
 
1.6%
설수진 1
 
1.6%
Other values (51) 51
83.6%
2023-12-13T04:45:08.877727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 14
 
7.7%
이 12
 
6.6%
김 8
 
4.4%
영 7
 
3.8%
박 6
 
3.3%
연 5
 
2.7%
미 5
 
2.7%
혜 5
 
2.7%
지 5
 
2.7%
경 4
 
2.2%
Other values (65) 112
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 14
 
7.7%
이 12
 
6.6%
김 8
 
4.4%
영 7
 
3.8%
박 6
 
3.3%
연 5
 
2.7%
미 5
 
2.7%
혜 5
 
2.7%
지 5
 
2.7%
경 4
 
2.2%
Other values (65) 112
61.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 14
 
7.7%
이 12
 
6.6%
김 8
 
4.4%
영 7
 
3.8%
박 6
 
3.3%
연 5
 
2.7%
미 5
 
2.7%
혜 5
 
2.7%
지 5
 
2.7%
경 4
 
2.2%
Other values (65) 112
61.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 14
 
7.7%
이 12
 
6.6%
김 8
 
4.4%
영 7
 
3.8%
박 6
 
3.3%
연 5
 
2.7%
미 5
 
2.7%
혜 5
 
2.7%
지 5
 
2.7%
경 4
 
2.2%
Other values (65) 112
61.2%

등록일
Date

Distinct47
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum1997-04-01 00:00:00
Maximum2019-01-01 00:00:00
2023-12-13T04:45:09.039877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:45:09.188664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

우편번호
Real number (ℝ)

Distinct11
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40127.426
Minimum40103
Maximum40141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-13T04:45:09.321795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40103
5-th percentile40104
Q140110
median40135
Q340136
95-th percentile40137
Maximum40141
Range38
Interquartile range (IQR)26

Descriptive statistics

Standard deviation13.036435
Coefficient of variation (CV)0.00032487593
Kurtosis-1.0781929
Mean40127.426
Median Absolute Deviation (MAD)1
Skewness-0.92606815
Sum2447773
Variance169.94863
MonotonicityNot monotonic
2023-12-13T04:45:09.438332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
40135 25
41.0%
40136 14
23.0%
40110 5
 
8.2%
40108 5
 
8.2%
40104 3
 
4.9%
40109 2
 
3.3%
40141 2
 
3.3%
40107 2
 
3.3%
40137 1
 
1.6%
40103 1
 
1.6%
ValueCountFrequency (%)
40103 1
 
1.6%
40104 3
 
4.9%
40107 2
 
3.3%
40108 5
 
8.2%
40109 2
 
3.3%
40110 5
 
8.2%
40135 25
41.0%
40136 14
23.0%
40137 1
 
1.6%
40138 1
 
1.6%
ValueCountFrequency (%)
40141 2
 
3.3%
40138 1
 
1.6%
40137 1
 
1.6%
40136 14
23.0%
40135 25
41.0%
40110 5
 
8.2%
40109 2
 
3.3%
40108 5
 
8.2%
40107 2
 
3.3%
40104 3
 
4.9%

Interactions

2023-12-13T04:45:05.897971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:45:05.697198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:45:05.977432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:45:05.781753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:45:09.528360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호학원명학원주소설립자-성명등록일우편번호
번호1.0000.8590.8781.0000.7480.292
학원명0.8591.0000.0001.0000.9350.000
학원주소0.8780.0001.0001.0000.0001.000
설립자-성명1.0001.0001.0001.0001.0001.000
등록일0.7480.9350.0001.0001.0000.000
우편번호0.2920.0001.0001.0000.0001.000
2023-12-13T04:45:09.651239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호
번호1.0000.008
우편번호0.0081.000

Missing values

2023-12-13T04:45:06.114273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:45:06.236047image/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

번호학원명학원주소설립자-성명등록일우편번호
01단비영수학원경상북도 고령군 다산면 상곡1길 4 (다산면)서연화2014-04-0140110
12글방학원경상북도 고령군 대가야읍 우륵로 50 (대가야읍)임경애2015-02-0140135
23피아노포르테음악학원경상북도 고령군 대가야읍 왕정길 13-1 (대가야읍)서혜정2015-03-0140136
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