Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory54.1 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description통합 창원시에서 운영하는 평생교육센터 현황(읍면동, 도서관명, 소재지, 개관일 등) 자료이오니, 참고하시기 바랍니다.
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3077718

Alerts

구분 has unique valuesUnique
도서관명 has unique valuesUnique
소 재 지 has unique valuesUnique
개관일 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:05:00.396305
Analysis finished2023-12-10 23:05:00.859149
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-11T08:05:00.915556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-11T08:05:01.021741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

읍면동
Text

Distinct14
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T08:05:01.172240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.4230769
Min length2

Characters and Unicode

Total characters89
Distinct characters31
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

Unique7 ?
Unique (%)26.9%

Sample

1st row동읍
2nd row대산면
3rd row의창동
4th row의창동
5th row의창동
ValueCountFrequency (%)
의창동 3
11.5%
중앙동(창 3
11.5%
명곡동 3
11.5%
봉림동 3
11.5%
가음정동 3
11.5%
용지동 2
7.7%
사파동 2
7.7%
동읍 1
 
3.8%
대산면 1
 
3.8%
팔룡동 1
 
3.8%
Other values (4) 4
15.4%
2023-12-11T08:05:01.469435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 25
28.1%
창 6
 
6.7%
의 3
 
3.4%
중 3
 
3.4%
앙 3
 
3.4%
( 3
 
3.4%
) 3
 
3.4%
명 3
 
3.4%
곡 3
 
3.4%
봉 3
 
3.4%
Other values (21) 34
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
93.3%
Open Punctuation 3
 
3.4%
Close Punctuation 3
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
30.1%
창 6
 
7.2%
의 3
 
3.6%
중 3
 
3.6%
앙 3
 
3.6%
명 3
 
3.6%
곡 3
 
3.6%
봉 3
 
3.6%
림 3
 
3.6%
가 3
 
3.6%
Other values (19) 28
33.7%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
93.3%
Common 6
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
30.1%
창 6
 
7.2%
의 3
 
3.6%
중 3
 
3.6%
앙 3
 
3.6%
명 3
 
3.6%
곡 3
 
3.6%
봉 3
 
3.6%
림 3
 
3.6%
가 3
 
3.6%
Other values (19) 28
33.7%
Common
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
93.3%
ASCII 6
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 25
30.1%
창 6
 
7.2%
의 3
 
3.6%
중 3
 
3.6%
앙 3
 
3.6%
명 3
 
3.6%
곡 3
 
3.6%
봉 3
 
3.6%
림 3
 
3.6%
가 3
 
3.6%
Other values (19) 28
33.7%
ASCII
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

도서관명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T08:05:01.659306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.1153846
Min length8

Characters and Unicode

Total characters211
Distinct characters45
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

Unique26 ?
Unique (%)100.0%

Sample

1st row동읍평생교육센터
2nd row대산평생교육센터
3rd row소계평생교육센터
4th row의창평생교육센터
5th row천주평생교육센터
ValueCountFrequency (%)
동읍평생교육센터 1
 
3.8%
대산평생교육센터 1
 
3.8%
성주평생교육센터 1
 
3.8%
남양평생교육센터 1
 
3.8%
남산평생교육센터 1
 
3.8%
가음정평생교육센터 1
 
3.8%
사파평생교육센터 1
 
3.8%
대방평생교육센터 1
 
3.8%
상남평생교육센터 1
 
3.8%
중앙평생교육센터 1
 
3.8%
Other values (16) 16
61.5%
2023-12-11T08:05:01.962093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
평 26
12.3%
생 26
12.3%
교 26
12.3%
육 26
12.3%
센 26
12.3%
터 26
12.3%
남 4
 
1.9%
대 3
 
1.4%
명 3
 
1.4%
동 2
 
0.9%
Other values (35) 43
20.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
99.1%
Decimal Number 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 26
12.4%
생 26
12.4%
교 26
12.4%
육 26
12.4%
센 26
12.4%
터 26
12.4%
남 4
 
1.9%
대 3
 
1.4%
명 3
 
1.4%
동 2
 
1.0%
Other values (33) 41
19.6%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
99.1%
Common 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 26
12.4%
생 26
12.4%
교 26
12.4%
육 26
12.4%
센 26
12.4%
터 26
12.4%
남 4
 
1.9%
대 3
 
1.4%
명 3
 
1.4%
동 2
 
1.0%
Other values (33) 41
19.6%
Common
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
99.1%
ASCII 2
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
평 26
12.4%
생 26
12.4%
교 26
12.4%
육 26
12.4%
센 26
12.4%
터 26
12.4%
남 4
 
1.9%
대 3
 
1.4%
명 3
 
1.4%
동 2
 
1.0%
Other values (33) 41
19.6%
ASCII
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%

소 재 지
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T08:05:02.174248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length19.653846
Min length13

Characters and Unicode

Total characters511
Distinct characters78
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row의창구 동읍 동읍로 88
2nd row의창구 대산면 진산대로355번길 20
3rd row의창구 소계로84번길 7(소계동)
4th row의창구 읍성로 25(북동)
5th row의창구 천주로56번길 14(동정동)
ValueCountFrequency (%)
성산구 14
 
16.7%
의창구 12
 
14.3%
대정로 2
 
2.4%
735(성주동 1
 
1.2%
115(상남동 1
 
1.2%
남창원농협 1
 
1.2%
신월지점 1
 
1.2%
2층 1
 
1.2%
용지로239번길19-4(용호동 1
 
1.2%
반지로15번길 1
 
1.2%
Other values (49) 49
58.3%
2023-12-11T08:05:02.532718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
11.7%
동 29
 
5.7%
구 26
 
5.1%
로 26
 
5.1%
) 24
 
4.7%
( 24
 
4.7%
산 18
 
3.5%
길 17
 
3.3%
1 17
 
3.3%
번 17
 
3.3%
Other values (68) 253
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
56.4%
Decimal Number 102
 
20.0%
Space Separator 60
 
11.7%
Close Punctuation 24
 
4.7%
Open Punctuation 24
 
4.7%
Dash Punctuation 4
 
0.8%
Final Punctuation 3
 
0.6%
Uppercase Letter 3
 
0.6%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 29
 
10.1%
구 26
 
9.0%
로 26
 
9.0%
산 18
 
6.2%
길 17
 
5.9%
번 17
 
5.9%
성 16
 
5.6%
창 15
 
5.2%
대 15
 
5.2%
의 12
 
4.2%
Other values (51) 97
33.7%
Decimal Number
ValueCountFrequency (%)
1 17
16.7%
2 14
13.7%
5 14
13.7%
3 11
10.8%
4 10
9.8%
8 10
9.8%
6 8
7.8%
7 7
6.9%
0 6
 
5.9%
9 5
 
4.9%
Space Separator
ValueCountFrequency (%)
60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
56.4%
Common 220
43.1%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 29
 
10.1%
구 26
 
9.0%
로 26
 
9.0%
산 18
 
6.2%
길 17
 
5.9%
번 17
 
5.9%
성 16
 
5.6%
창 15
 
5.2%
대 15
 
5.2%
의 12
 
4.2%
Other values (51) 97
33.7%
Common
ValueCountFrequency (%)
60
27.3%
) 24
 
10.9%
( 24
 
10.9%
1 17
 
7.7%
2 14
 
6.4%
5 14
 
6.4%
3 11
 
5.0%
4 10
 
4.5%
8 10
 
4.5%
6 8
 
3.6%
Other values (6) 28
12.7%
Latin
ValueCountFrequency (%)
A 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
56.4%
ASCII 220
43.1%
Punctuation 3
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
27.3%
) 24
 
10.9%
( 24
 
10.9%
1 17
 
7.7%
2 14
 
6.4%
5 14
 
6.4%
3 11
 
5.0%
4 10
 
4.5%
8 10
 
4.5%
6 8
 
3.6%
Other values (6) 28
12.7%
Hangul
ValueCountFrequency (%)
동 29
 
10.1%
구 26
 
9.0%
로 26
 
9.0%
산 18
 
6.2%
길 17
 
5.9%
번 17
 
5.9%
성 16
 
5.6%
창 15
 
5.2%
대 15
 
5.2%
의 12
 
4.2%
Other values (51) 97
33.7%
Punctuation
ValueCountFrequency (%)
’ 3
100.0%

개관일
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum1993-06-03 00:00:00
Maximum2005-03-28 00:00:00
2023-12-11T08:05:02.639052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:05:02.743493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T08:05:02.921237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters208
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

Unique26 ?
Unique (%)100.0%

Sample

1st row253-7841
2nd row291-6457
3rd row297-3452
4th row296-5604
5th row299-3407
ValueCountFrequency (%)
253-7841 1
 
3.8%
291-6457 1
 
3.8%
286-5506 1
 
3.8%
275-0307 1
 
3.8%
282-9605 1
 
3.8%
289-9155 1
 
3.8%
266-1158 1
 
3.8%
283-6558 1
 
3.8%
264-0517 1
 
3.8%
263-4511 1
 
3.8%
Other values (16) 16
61.5%
2023-12-11T08:05:03.199669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 29
13.9%
2 28
13.5%
- 26
12.5%
5 23
11.1%
7 21
10.1%
8 16
7.7%
1 15
7.2%
3 14
6.7%
0 13
6.2%
4 12
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
87.5%
Dash Punctuation 26
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 29
15.9%
2 28
15.4%
5 23
12.6%
7 21
11.5%
8 16
8.8%
1 15
8.2%
3 14
7.7%
0 13
7.1%
4 12
6.6%
9 11
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 208
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 29
13.9%
2 28
13.5%
- 26
12.5%
5 23
11.1%
7 21
10.1%
8 16
7.7%
1 15
7.2%
3 14
6.7%
0 13
6.2%
4 12
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 208
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 29
13.9%
2 28
13.5%
- 26
12.5%
5 23
11.1%
7 21
10.1%
8 16
7.7%
1 15
7.2%
3 14
6.7%
0 13
6.2%
4 12
5.8%

Interactions

2023-12-11T08:05:00.632060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:05:03.284827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분읍면동도서관명소 재 지개관일전화번호
구분1.0000.9091.0001.0001.0001.000
읍면동0.9091.0001.0001.0001.0001.000
도서관명1.0001.0001.0001.0001.0001.000
소 재 지1.0001.0001.0001.0001.0001.000
개관일1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T08:05:00.726205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:05:00.823029image/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

구분읍면동도서관명소 재 지개관일전화번호
01동읍동읍평생교육센터의창구 동읍 동읍로 882004-02-20253-7841
12대산면대산평생교육센터의창구 대산면 진산대로355번길 201999-12-22291-6457
23의창동소계평생교육센터의창구 소계로84번길 7(소계동)1998-02-09297-3452
34의창동의창평생교육센터의창구 읍성로 25(북동)1997-01-30296-5604
45의창동천주평생교육센터의창구 천주로56번길 14(동정동)2005-03-28299-3407
56중앙동(창)대원평생교육센터성산구 대원로93번길 2(대원동)1996-05-02273-5134
67팔룡동팔룡평생교육센터의창구 팔용로 447(팔용동)1993-06-03255-6537
78명곡동명곡평생교육센터의창구 태복산로 35(도계동)1997-10-01273-8019
89명곡동명서1평생교육센터의창구 명지로122번길 20(명서동)1998-02-28273-9765
910명곡동명서2평생교육센터의창구 우곡로101번길 28(명서동)1998-02-23273-9766
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