Overview

Dataset statistics

Number of variables5
Number of observations657
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.4 KiB
Average record size in memory41.2 B

Variable types

Categorical3
Text1
Numeric1

Dataset

Description강원특별자치도교육청 지역별 학교 CCTV 설치 현황 자료입니다. 지역명, 학교명, CCTV 설치 대수를 확인하실 수 있습니다.
URLhttps://www.data.go.kr/data/15062002/fileData.do

Alerts

시도교육청 has constant value ""Constant

Reproduction

Analysis started2023-12-12 16:15:33.842976
Analysis finished2023-12-12 16:15:34.350353
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도교육청
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
강원특별자치도
657 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 657
100.0%

Length

2023-12-13T01:15:34.418555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:34.512749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 657
100.0%

지역명
Categorical

Distinct17
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
원주
92 
춘천
79 
강릉
62 
홍천
46 
속초양양
41 
Other values (12)
337 

Length

Max length4
Median length2
Mean length2.1248097
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원주 92
14.0%
춘천 79
12.0%
강릉 62
 
9.4%
홍천 46
 
7.0%
속초양양 41
 
6.2%
삼척 39
 
5.9%
정선 35
 
5.3%
횡성 34
 
5.2%
평창 31
 
4.7%
영월 30
 
4.6%
Other values (7) 168
25.6%

Length

2023-12-13T01:15:34.613909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원주 92
14.0%
춘천 79
12.0%
강릉 62
 
9.4%
홍천 46
 
7.0%
속초양양 41
 
6.2%
삼척 39
 
5.9%
정선 35
 
5.3%
횡성 34
 
5.2%
평창 31
 
4.7%
영월 30
 
4.6%
Other values (7) 168
25.6%

학교급
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
초
373 
중
162 
고
112 
특
 
9
중
 
1

Length

Max length2
Median length1
Mean length1.0015221
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
초 373
56.8%
중 162
24.7%
고 112
 
17.0%
특 9
 
1.4%
중 1
 
0.2%

Length

2023-12-13T01:15:34.760216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:34.900678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초 373
56.8%
중 163
24.8%
고 112
 
17.0%
특 9
 
1.4%

학교명
Text

Distinct643
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-13T01:15:35.226711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length6.0882801
Min length3

Characters and Unicode

Total characters4000
Distinct characters214
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

Unique634 ?
Unique (%)96.5%

Sample

1st row가산초등학교
2nd row광판초등학교
3rd row교대부설초등학교
4th row교동초등학교
5th row근화초등학교
ValueCountFrequency (%)
교동초등학교 4
 
0.6%
중앙초등학교 4
 
0.6%
남산초등학교 3
 
0.5%
원당초등학교 2
 
0.3%
조양초등학교 2
 
0.3%
북평초등학교 2
 
0.3%
속초초등학교 2
 
0.3%
신동초등학교 2
 
0.3%
반곡초등학교 2
 
0.3%
횡성여자고등학교 1
 
0.2%
Other values (641) 641
96.4%
2023-12-13T01:15:35.737159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 660
16.5%
학 641
16.0%
등 464
 
11.6%
초 379
 
9.5%
중 169
 
4.2%
고 121
 
3.0%
원 55
 
1.4%
동 47
 
1.2%
천 44
 
1.1%
성 32
 
0.8%
Other values (204) 1388
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3992
99.8%
Space Separator 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 660
16.5%
학 641
16.1%
등 464
 
11.6%
초 379
 
9.5%
중 169
 
4.2%
고 121
 
3.0%
원 55
 
1.4%
동 47
 
1.2%
천 44
 
1.1%
성 32
 
0.8%
Other values (203) 1380
34.6%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3992
99.8%
Common 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 660
16.5%
학 641
16.1%
등 464
 
11.6%
초 379
 
9.5%
중 169
 
4.2%
고 121
 
3.0%
원 55
 
1.4%
동 47
 
1.2%
천 44
 
1.1%
성 32
 
0.8%
Other values (203) 1380
34.6%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3992
99.8%
ASCII 8
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 660
16.5%
학 641
16.1%
등 464
 
11.6%
초 379
 
9.5%
중 169
 
4.2%
고 121
 
3.0%
원 55
 
1.4%
동 47
 
1.2%
천 44
 
1.1%
성 32
 
0.8%
Other values (203) 1380
34.6%
ASCII
ValueCountFrequency (%)
8
100.0%

CCTV대수
Real number (ℝ)

Distinct87
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.65449
Minimum0
Maximum165
Zeros5
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T01:15:35.905241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median16
Q329
95-th percentile63.2
Maximum165
Range165
Interquartile range (IQR)17

Descriptive statistics

Standard deviation19.655593
Coefficient of variation (CV)0.83094553
Kurtosis10.637295
Mean23.65449
Median Absolute Deviation (MAD)6
Skewness2.6385941
Sum15541
Variance386.34233
MonotonicityNot monotonic
2023-12-13T01:15:36.067798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 51
 
7.8%
13 42
 
6.4%
12 38
 
5.8%
10 33
 
5.0%
15 30
 
4.6%
11 29
 
4.4%
14 28
 
4.3%
9 27
 
4.1%
20 22
 
3.3%
8 21
 
3.2%
Other values (77) 336
51.1%
ValueCountFrequency (%)
0 5
 
0.8%
1 3
 
0.5%
2 1
 
0.2%
3 1
 
0.2%
4 6
 
0.9%
5 7
 
1.1%
6 6
 
0.9%
7 7
 
1.1%
8 21
3.2%
9 27
4.1%
ValueCountFrequency (%)
165 1
0.2%
156 1
0.2%
144 1
0.2%
108 1
0.2%
106 1
0.2%
104 1
0.2%
96 1
0.2%
92 1
0.2%
91 1
0.2%
84 1
0.2%

Interactions

2023-12-13T01:15:34.066507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:15:36.188554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역명학교급CCTV대수
지역명1.0000.0000.268
학교급0.0001.0000.596
CCTV대수0.2680.5961.000
2023-12-13T01:15:36.311938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급지역명
학교급1.0000.000
지역명0.0001.000
2023-12-13T01:15:36.438997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
CCTV대수지역명학교급
CCTV대수1.0000.1130.393
지역명0.1131.0000.000
학교급0.3930.0001.000

Missing values

2023-12-13T01:15:34.191259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:15:34.303488image/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

시도교육청지역명학교급학교명CCTV대수
0강원특별자치도춘천초가산초등학교16
1강원특별자치도춘천초광판초등학교17
2강원특별자치도춘천초교대부설초등학교21
3강원특별자치도춘천초교동초등학교12
4강원특별자치도춘천초근화초등학교8
5강원특별자치도춘천초금병초등학교15
6강원특별자치도춘천초금산초등학교17
7강원특별자치도춘천초남부초등학교28
8강원특별자치도춘천초남산초 서천분교6
9강원특별자치도춘천초남산초등학교16
시도교육청지역명학교급학교명CCTV대수
647강원특별자치도고성초죽왕초등학교13
648강원특별자치도고성초천진초등학교9
649강원특별자치도고성중거진중학교17
650강원특별자치도고성중고성중학교20
651강원특별자치도고성중대진중학교0
652강원특별자치도고성중동광중학교10
653강원특별자치도고성고거진정보고등학교9
654강원특별자치도고성고고성고등학교37
655강원특별자치도고성고대진고등학교21
656강원특별자치도고성고동광산업과학고등학교40