Overview

Dataset statistics

Number of variables7
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory60.2 B

Variable types

Text3
Categorical3
Numeric1

Dataset

Description경상남도 양산시 소재의 유치원,초중고의 특수학급에 관한 데이터로 시설명,설립별,구분,전체학급수,특수학급수,주소지,전화번호 항목에 대한 정보를 제공합니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15104131/fileData.do

Alerts

설립별 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 설립별High correlation
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:30:12.340750
Analysis finished2023-12-12 09:30:13.106790
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-12T18:30:13.363222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.3114754
Min length5

Characters and Unicode

Total characters385
Distinct characters58
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 row동면유치원
2nd row물금유치원
3rd row양산유치원
4th row오봉유치원
5th row가촌초등병설유치원
ValueCountFrequency (%)
동면유치원 1
 
1.6%
신기초등학교 1
 
1.6%
신양초등학교 1
 
1.6%
양산초등학교 1
 
1.6%
양주초등학교 1
 
1.6%
어곡초등학교 1
 
1.6%
오봉초등학교 1
 
1.6%
용연초등학교 1
 
1.6%
웅상초등학교 1
 
1.6%
중부초등학교 1
 
1.6%
Other values (51) 51
83.6%
2023-12-12T18:30:13.889566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
12.5%
48
 
12.5%
47
 
12.2%
41
 
10.6%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
12
 
3.1%
11
 
2.9%
Other values (48) 126
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 385
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
 
12.5%
48
 
12.5%
47
 
12.2%
41
 
10.6%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
12
 
3.1%
11
 
2.9%
Other values (48) 126
32.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 385
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
 
12.5%
48
 
12.5%
47
 
12.2%
41
 
10.6%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
12
 
3.1%
11
 
2.9%
Other values (48) 126
32.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 385
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
48
 
12.5%
48
 
12.5%
47
 
12.2%
41
 
10.6%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
12
 
3.1%
11
 
2.9%
Other values (48) 126
32.7%

설립별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
공립
48 
국립 병설
국립 단설
 
4

Length

Max length5
Median length2
Mean length2.6393443
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국립 단설
2nd row국립 단설
3rd row국립 단설
4th row국립 단설
5th row국립 병설

Common Values

ValueCountFrequency (%)
공립 48
78.7%
국립 병설 9
 
14.8%
국립 단설 4
 
6.6%

Length

2023-12-12T18:30:14.072364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:30:14.236112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 48
64.9%
국립 13
 
17.6%
병설 9
 
12.2%
단설 4
 
5.4%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
초등학교
32 
유치원
13 
중학교
10 
고등학교

Length

Max length4
Median length4
Mean length3.6229508
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유치원
2nd row유치원
3rd row유치원
4th row유치원
5th row유치원

Common Values

ValueCountFrequency (%)
초등학교 32
52.5%
유치원 13
21.3%
중학교 10
 
16.4%
고등학교 6
 
9.8%

Length

2023-12-12T18:30:14.401414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:30:14.539395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 32
52.5%
유치원 13
21.3%
중학교 10
 
16.4%
고등학교 6
 
9.8%

전체학습수
Real number (ℝ)

Distinct37
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.606557
Minimum3
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-12T18:30:14.692137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q112
median22
Q332
95-th percentile50
Maximum65
Range62
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.244976
Coefficient of variation (CV)0.64579412
Kurtosis0.28160962
Mean23.606557
Median Absolute Deviation (MAD)10
Skewness0.73263751
Sum1440
Variance232.40929
MonotonicityNot monotonic
2023-12-12T18:30:14.860003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
18 4
 
6.6%
3 4
 
6.6%
22 4
 
6.6%
31 3
 
4.9%
26 3
 
4.9%
13 3
 
4.9%
29 2
 
3.3%
39 2
 
3.3%
43 2
 
3.3%
50 2
 
3.3%
Other values (27) 32
52.5%
ValueCountFrequency (%)
3 4
6.6%
4 2
3.3%
5 2
3.3%
6 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
9 2
3.3%
10 1
 
1.6%
11 1
 
1.6%
12 1
 
1.6%
ValueCountFrequency (%)
65 1
1.6%
64 1
1.6%
57 1
1.6%
50 2
3.3%
43 2
3.3%
39 2
3.3%
38 1
1.6%
37 1
1.6%
36 2
3.3%
34 1
1.6%

특수학급수
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
31 
2
23 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row3
2nd row3
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 31
50.8%
2 23
37.7%
3 6
 
9.8%
4 1
 
1.6%

Length

2023-12-12T18:30:15.035093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:30:15.187732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
50.8%
2 23
37.7%
3 6
 
9.8%
4 1
 
1.6%

주소
Text

Distinct52
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-12T18:30:15.452778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length18.032787
Min length14

Characters and Unicode

Total characters1100
Distinct characters74
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)70.5%

Sample

1st row경상남도 양산시 동면 내송리 495-1
2nd row경상남도 양산시 물금읍 범어리 2673
3rd row경상남도 양산시 물금읍 야리로 51
4th row경상남도 양산시 물금읍 목화9길 8
5th row경상남도 양산시 물금읍 물금로 139
ValueCountFrequency (%)
양산시 62
22.6%
경상남도 61
22.3%
물금읍 19
 
6.9%
양주로 8
 
2.9%
동면 6
 
2.2%
금오16길 4
 
1.5%
28 4
 
1.5%
배움터길 4
 
1.5%
8 4
 
1.5%
신주로 3
 
1.1%
Other values (83) 99
36.1%
2023-12-12T18:30:15.852233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
19.4%
73
 
6.6%
65
 
5.9%
63
 
5.7%
62
 
5.6%
62
 
5.6%
61
 
5.5%
61
 
5.5%
1 40
 
3.6%
30
 
2.7%
Other values (64) 370
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 720
65.5%
Space Separator 213
 
19.4%
Decimal Number 163
 
14.8%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
10.1%
65
 
9.0%
63
 
8.8%
62
 
8.6%
62
 
8.6%
61
 
8.5%
61
 
8.5%
30
 
4.2%
29
 
4.0%
26
 
3.6%
Other values (52) 188
26.1%
Decimal Number
ValueCountFrequency (%)
1 40
24.5%
2 22
13.5%
8 19
11.7%
9 15
 
9.2%
5 14
 
8.6%
0 13
 
8.0%
3 12
 
7.4%
4 10
 
6.1%
6 10
 
6.1%
7 8
 
4.9%
Space Separator
ValueCountFrequency (%)
213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 720
65.5%
Common 380
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
 
10.1%
65
 
9.0%
63
 
8.8%
62
 
8.6%
62
 
8.6%
61
 
8.5%
61
 
8.5%
30
 
4.2%
29
 
4.0%
26
 
3.6%
Other values (52) 188
26.1%
Common
ValueCountFrequency (%)
213
56.1%
1 40
 
10.5%
2 22
 
5.8%
8 19
 
5.0%
9 15
 
3.9%
5 14
 
3.7%
0 13
 
3.4%
3 12
 
3.2%
4 10
 
2.6%
6 10
 
2.6%
Other values (2) 12
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 720
65.5%
ASCII 380
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
56.1%
1 40
 
10.5%
2 22
 
5.8%
8 19
 
5.0%
9 15
 
3.9%
5 14
 
3.7%
0 13
 
3.4%
3 12
 
3.2%
4 10
 
2.6%
6 10
 
2.6%
Other values (2) 12
 
3.2%
Hangul
ValueCountFrequency (%)
73
 
10.1%
65
 
9.0%
63
 
8.8%
62
 
8.6%
62
 
8.6%
61
 
8.5%
61
 
8.5%
30
 
4.2%
29
 
4.0%
26
 
3.6%
Other values (52) 188
26.1%
Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-12T18:30:16.092452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters732
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

Unique59 ?
Unique (%)96.7%

Sample

1st row055-382-0361
2nd row055-367-0341
3rd row055-367-5691
4th row055-785-5061
5th row055-785-2603
ValueCountFrequency (%)
055-914-2003 2
 
3.3%
055-382-0361 1
 
1.6%
055-911-0712 1
 
1.6%
055-386-9334 1
 
1.6%
055-364-1592 1
 
1.6%
055-386-2034 1
 
1.6%
055-384-8423 1
 
1.6%
055-388-3241 1
 
1.6%
055-388-4280 1
 
1.6%
055-374-1965 1
 
1.6%
Other values (50) 50
82.0%
2023-12-12T18:30:16.543383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 152
20.8%
- 122
16.7%
0 96
13.1%
3 72
9.8%
8 52
 
7.1%
2 51
 
7.0%
7 51
 
7.0%
6 45
 
6.1%
1 37
 
5.1%
4 35
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 610
83.3%
Dash Punctuation 122
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 152
24.9%
0 96
15.7%
3 72
11.8%
8 52
 
8.5%
2 51
 
8.4%
7 51
 
8.4%
6 45
 
7.4%
1 37
 
6.1%
4 35
 
5.7%
9 19
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 152
20.8%
- 122
16.7%
0 96
13.1%
3 72
9.8%
8 52
 
7.1%
2 51
 
7.0%
7 51
 
7.0%
6 45
 
6.1%
1 37
 
5.1%
4 35
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 152
20.8%
- 122
16.7%
0 96
13.1%
3 72
9.8%
8 52
 
7.1%
2 51
 
7.0%
7 51
 
7.0%
6 45
 
6.1%
1 37
 
5.1%
4 35
 
4.8%

Interactions

2023-12-12T18:30:12.759703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:30:16.654980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명설립별구분전체학습수특수학급수주소전화번호
시설명1.0001.0001.0001.0001.0001.0001.000
설립별1.0001.0000.6610.6780.3260.0001.000
구분1.0000.6611.0000.6660.3200.0000.849
전체학습수1.0000.6780.6661.0000.5730.7450.983
특수학급수1.0000.3260.3200.5731.0000.0001.000
주소1.0000.0000.0000.7450.0001.0001.000
전화번호1.0001.0000.8490.9831.0001.0001.000
2023-12-12T18:30:16.762640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립별구분특수학급수
설립별1.0000.6820.311
구분0.6821.0000.126
특수학급수0.3110.1261.000
2023-12-12T18:30:16.851229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체학습수설립별구분특수학급수
전체학습수1.0000.4960.4390.357
설립별0.4961.0000.6820.311
구분0.4390.6821.0000.126
특수학급수0.3570.3110.1261.000

Missing values

2023-12-12T18:30:12.914823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:30:13.046844image/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

시설명설립별구분전체학습수특수학급수주소전화번호
0동면유치원국립 단설유치원123경상남도 양산시 동면 내송리 495-1055-382-0361
1물금유치원국립 단설유치원183경상남도 양산시 물금읍 범어리 2673055-367-0341
2양산유치원국립 단설유치원102경상남도 양산시 물금읍 야리로 51055-367-5691
3오봉유치원국립 단설유치원81경상남도 양산시 물금읍 목화9길 8055-785-5061
4가촌초등병설유치원국립 병설유치원41경상남도 양산시 물금읍 물금로 139055-785-2603
5덕계초등병설유치원국립 병설유치원31경상남도 양산시 덕계로 92055-366-2780
6북정초등병설유치원국립 병설유치원31경상남도 양산시 북정서길 28055-367-2722
7삽량초등병설유치원국립 병설유치원61경상남도 양산시 양주로 55055-381-7225
8석산초등병설유치원국립 병설유치원31경상남도 양산시 동면 금오16길 105055-785-6028
9신양초등병설유치원국립 병설유치원51경상남도 양산시 양주로 27055-364-1596
시설명설립별구분전체학습수특수학급수주소전화번호
51양산중앙중학교공립중학교362경상남도 양산시 양주로 21055-386-9906
52양주중학교공립중학교91경상남도 양산시 상북면 양주마을2길 18055-374-7211
53웅상여자중학교공립중학교221경상남도 양산시 배움터길 72055-371-5402
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59양산남부고등학교공립고등학교322경상남도 양산시 양주로 7055-382-1066
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