Overview

Dataset statistics

Number of variables7
Number of observations26
Missing cells26
Missing cells (%)14.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory63.1 B

Variable types

Numeric1
Text4
Unsupported2

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

비 고 has 26 (100.0%) missing valuesMissing
구분 has unique valuesUnique
도서관명 has unique valuesUnique
소 재 지 has unique valuesUnique
전화번호 has unique valuesUnique
개관일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비 고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 23:04:56.592133
Analysis finished2023-12-10 23:04:57.068532
Duration0.48 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
2023-12-11T08:04:57.133373image/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
2023-12-11T08:04:57.273043image/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
2023-12-11T08:04:57.445185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.3076923
Min length2

Characters and Unicode

Total characters86
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

Unique6 ?
Unique (%)23.1%

Sample

1st row동읍
2nd row대산면
3rd row의창동
4th row의창동
5th row의창동
ValueCountFrequency (%)
의창동 3
11.5%
명곡동 3
11.5%
봉림동 3
11.5%
가음정동 3
11.5%
팔룡동 2
7.7%
용지동 2
7.7%
중앙동(창 2
7.7%
사파동 2
7.7%
동읍 1
 
3.8%
대산면 1
 
3.8%
Other values (4) 4
15.4%
2023-12-11T08:04:57.749166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 25
29.1%
창 5
 
5.8%
의 3
 
3.5%
명 3
 
3.5%
곡 3
 
3.5%
봉 3
 
3.5%
림 3
 
3.5%
가 3
 
3.5%
음 3
 
3.5%
정 3
 
3.5%
Other values (21) 32
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82
95.3%
Close Punctuation 2
 
2.3%
Open Punctuation 2
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
30.5%
창 5
 
6.1%
의 3
 
3.7%
명 3
 
3.7%
곡 3
 
3.7%
봉 3
 
3.7%
림 3
 
3.7%
가 3
 
3.7%
음 3
 
3.7%
정 3
 
3.7%
Other values (19) 28
34.1%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82
95.3%
Common 4
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
30.5%
창 5
 
6.1%
의 3
 
3.7%
명 3
 
3.7%
곡 3
 
3.7%
봉 3
 
3.7%
림 3
 
3.7%
가 3
 
3.7%
음 3
 
3.7%
정 3
 
3.7%
Other values (19) 28
34.1%
Common
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82
95.3%
ASCII 4
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 25
30.5%
창 5
 
6.1%
의 3
 
3.7%
명 3
 
3.7%
곡 3
 
3.7%
봉 3
 
3.7%
림 3
 
3.7%
가 3
 
3.7%
음 3
 
3.7%
정 3
 
3.7%
Other values (19) 28
34.1%
ASCII
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

도서관명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T08:04:57.977705image/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%
2023-12-11T08:04:58.342683image/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
2023-12-11T08:04:58.595528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length18.153846
Min length10

Characters and Unicode

Total characters472
Distinct characters78
Distinct categories6 ?
Distinct scripts2 ?
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 용잠리 575 (읍사무소 2층)
2nd row의창구 대산면 제동리 271-59
3rd row의창구 소계동 714-8 (민원센터 2층)
4th row의창구 북동 260 (민원센터 2층)
5th row의창구 동정동 250
ValueCountFrequency (%)
의창구 15
 
14.0%
성산구 11
 
10.3%
2층 7
 
6.5%
민원센터 6
 
5.6%
복지회관 5
 
4.7%
3층 2
 
1.9%
가음동 2
 
1.9%
명서동 2
 
1.9%
봉곡동 2
 
1.9%
반지동 1
 
0.9%
Other values (54) 54
50.5%
2023-12-11T08:04:59.011390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
16.9%
동 30
 
6.4%
구 26
 
5.5%
1 20
 
4.2%
2 19
 
4.0%
- 18
 
3.8%
의 16
 
3.4%
창 15
 
3.2%
( 15
 
3.2%
) 15
 
3.2%
Other values (68) 218
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
52.5%
Decimal Number 95
 
20.1%
Space Separator 81
 
17.2%
Dash Punctuation 18
 
3.8%
Open Punctuation 15
 
3.2%
Close Punctuation 15
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
 
12.1%
구 26
 
10.5%
의 16
 
6.5%
창 15
 
6.0%
성 12
 
4.8%
산 12
 
4.8%
층 10
 
4.0%
지 9
 
3.6%
터 7
 
2.8%
원 7
 
2.8%
Other values (53) 104
41.9%
Decimal Number
ValueCountFrequency (%)
1 20
21.1%
2 19
20.0%
4 12
12.6%
5 9
9.5%
6 8
 
8.4%
7 7
 
7.4%
0 6
 
6.3%
3 5
 
5.3%
9 5
 
5.3%
8 4
 
4.2%
Space Separator
ValueCountFrequency (%)
80
98.8%
  1
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 248
52.5%
Common 224
47.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
 
12.1%
구 26
 
10.5%
의 16
 
6.5%
창 15
 
6.0%
성 12
 
4.8%
산 12
 
4.8%
층 10
 
4.0%
지 9
 
3.6%
터 7
 
2.8%
원 7
 
2.8%
Other values (53) 104
41.9%
Common
ValueCountFrequency (%)
80
35.7%
1 20
 
8.9%
2 19
 
8.5%
- 18
 
8.0%
( 15
 
6.7%
) 15
 
6.7%
4 12
 
5.4%
5 9
 
4.0%
6 8
 
3.6%
7 7
 
3.1%
Other values (5) 21
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
52.5%
ASCII 223
47.2%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
35.9%
1 20
 
9.0%
2 19
 
8.5%
- 18
 
8.1%
( 15
 
6.7%
) 15
 
6.7%
4 12
 
5.4%
5 9
 
4.0%
6 8
 
3.6%
7 7
 
3.1%
Other values (4) 20
 
9.0%
Hangul
ValueCountFrequency (%)
동 30
 
12.1%
구 26
 
10.5%
의 16
 
6.5%
창 15
 
6.0%
성 12
 
4.8%
산 12
 
4.8%
층 10
 
4.0%
지 9
 
3.6%
터 7
 
2.8%
원 7
 
2.8%
Other values (53) 104
41.9%
None
ValueCountFrequency (%)
  1
100.0%

개관일
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T08:04:59.206243image/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%
2023-12-11T08:04:59.528310image/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%

비 고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

Interactions

2023-12-11T08:04:56.808202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:04:59.647458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분읍면동도서관명소 재 지전화번호
구분1.0000.9351.0001.0001.000
읍면동0.9351.0001.0001.0001.000
도서관명1.0001.0001.0001.0001.000
소 재 지1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-11T08:04:56.904191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:04:57.011879image/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 지개관일전화번호비 고
01동읍동읍평생교육센터의창구 동읍 용잠리 575 (읍사무소 2층)2004.02.20253-7841<NA>
12대산면대산평생교육센터의창구 대산면 제동리 271-591999.12.22291-6457<NA>
23의창동소계평생교육센터의창구 소계동 714-8 (민원센터 2층)1998.02.09297-3452<NA>
34의창동의창평생교육센터의창구 북동 260 (민원센터 2층)1997.01.30296-5604<NA>
45의창동천주평생교육센터의창구 동정동 2502005.03.28299-3407<NA>
56팔룡동대원평생교육센터의창구 대원동 37-5 (복지회관)1996.05.02273-5134<NA>
67팔룡동팔룡평생교육센터의창구 팔용동 102-4 (복지회관)1993.06.03255-6537<NA>
78명곡동명곡평생교육센터의창구 도계동 420-21997.10.01273-8019<NA>
89명곡동명서1평생교육센터의창구 명서동 174-14 (민원센터 2층)1998.02.28273-9765<NA>
910명곡동명서2평생교육센터의창구 명서동 111 (민원센터 2층)1998.02.23273-9766<NA>
구분읍면동도서관명소 재 지개관일전화번호비 고
1617중앙동(창)내동평생교육센터성산구 내동 456-2 (민원센터 2층)1998.02.16287-4114<NA>
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