Overview

Dataset statistics

Number of variables4
Number of observations53
Missing cells2
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory36.5 B

Variable types

Categorical2
Numeric1
Text1

Dataset

Description학사행정시스템에 있는 학교 강의실 정보입니다. 강의동, 강의실, 강의동명, 강의실명 등의 데이터를 포함하고 있습니다.
Author경상남도
URLhttps://www.data.go.kr/data/15039343/fileData.do

Alerts

강의동 is highly overall correlated with 강의동명High correlation
강의동명 is highly overall correlated with 강의동High correlation
강의실명 has 2 (3.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:49:27.518261
Analysis finished2023-12-12 08:49:28.118643
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강의동
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
2
28 
3
12 
1
10 
4
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 28
52.8%
3 12
22.6%
1 10
 
18.9%
4 3
 
5.7%

Length

2023-12-12T17:49:28.208658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:28.372646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 28
52.8%
3 12
22.6%
1 10
 
18.9%
4 3
 
5.7%

강의실
Real number (ℝ)

Distinct43
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283.22642
Minimum106
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T17:49:28.553499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile108.6
Q1206
median305
Q3316
95-th percentile502.4
Maximum999
Range893
Interquartile range (IQR)110

Descriptive statistics

Standard deviation149.22887
Coefficient of variation (CV)0.52688895
Kurtosis9.0269514
Mean283.22642
Median Absolute Deviation (MAD)98
Skewness2.1504813
Sum15011
Variance22269.255
MonotonicityNot monotonic
2023-12-12T17:49:28.739053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
208 3
 
5.7%
313 2
 
3.8%
311 2
 
3.8%
410 2
 
3.8%
310 2
 
3.8%
413 2
 
3.8%
316 2
 
3.8%
312 2
 
3.8%
207 2
 
3.8%
308 1
 
1.9%
Other values (33) 33
62.3%
ValueCountFrequency (%)
106 1
1.9%
107 1
1.9%
108 1
1.9%
109 1
1.9%
111 1
1.9%
112 1
1.9%
114 1
1.9%
115 1
1.9%
118 1
1.9%
119 1
1.9%
ValueCountFrequency (%)
999 1
1.9%
504 1
1.9%
503 1
1.9%
502 1
1.9%
414 1
1.9%
413 2
3.8%
412 1
1.9%
411 1
1.9%
410 2
3.8%
317 1
1.9%

강의동명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
공학관
28 
제2공학관
12 
본관
10 
제3공학관
3 

Length

Max length5
Median length3
Mean length3.3773585
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제2공학관
2nd row공학관
3rd row공학관
4th row공학관
5th row공학관

Common Values

ValueCountFrequency (%)
공학관 28
52.8%
제2공학관 12
22.6%
본관 10
 
18.9%
제3공학관 3
 
5.7%

Length

2023-12-12T17:49:28.920118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:29.049205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공학관 28
52.8%
제2공학관 12
22.6%
본관 10
 
18.9%
제3공학관 3
 
5.7%

강의실명
Text

MISSING 

Distinct46
Distinct (%)90.2%
Missing2
Missing (%)3.8%
Memory size556.0 B
2023-12-12T17:49:29.319240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.9215686
Min length3

Characters and Unicode

Total characters302
Distinct characters122
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)84.3%

Sample

1st rowPerm이론 및 실습
2nd row컴퓨터이해와 응용
3rd row건축재료 및 실험
4th row건축계획
5th row건축시공
ValueCountFrequency (%)
실습 5
 
7.6%
컴퓨터이해와 4
 
6.1%
응용 4
 
6.1%
실습실 3
 
4.5%
및 2
 
3.0%
건축설계제도 2
 
3.0%
취업영어 2
 
3.0%
소프트웨어 1
 
1.5%
통신이론 1
 
1.5%
직류회로 1
 
1.5%
Other values (41) 41
62.1%
2023-12-12T17:49:29.823896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
5.0%
실 14
 
4.6%
습 10
 
3.3%
건 10
 
3.3%
학 9
 
3.0%
이 8
 
2.6%
축 8
 
2.6%
터 7
 
2.3%
인 7
 
2.3%
디 7
 
2.3%
Other values (112) 207
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
88.4%
Space Separator 15
 
5.0%
Uppercase Letter 10
 
3.3%
Letter Number 5
 
1.7%
Lowercase Letter 3
 
1.0%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 14
 
5.2%
습 10
 
3.7%
건 10
 
3.7%
학 9
 
3.4%
이 8
 
3.0%
축 8
 
3.0%
터 7
 
2.6%
인 7
 
2.6%
디 7
 
2.6%
퓨 6
 
2.2%
Other values (97) 181
67.8%
Uppercase Letter
ValueCountFrequency (%)
O 2
20.0%
C 2
20.0%
A 2
20.0%
P 1
10.0%
D 1
10.0%
B 1
10.0%
L 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
r 1
33.3%
m 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
88.4%
Latin 18
 
6.0%
Common 17
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 14
 
5.2%
습 10
 
3.7%
건 10
 
3.7%
학 9
 
3.4%
이 8
 
3.0%
축 8
 
3.0%
터 7
 
2.6%
인 7
 
2.6%
디 7
 
2.6%
퓨 6
 
2.2%
Other values (97) 181
67.8%
Latin
ValueCountFrequency (%)
Ⅱ 4
22.2%
O 2
11.1%
C 2
11.1%
A 2
11.1%
P 1
 
5.6%
e 1
 
5.6%
r 1
 
5.6%
m 1
 
5.6%
D 1
 
5.6%
Ⅰ 1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
15
88.2%
) 1
 
5.9%
( 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
88.4%
ASCII 30
 
9.9%
Number Forms 5
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
50.0%
O 2
 
6.7%
C 2
 
6.7%
A 2
 
6.7%
P 1
 
3.3%
e 1
 
3.3%
r 1
 
3.3%
m 1
 
3.3%
) 1
 
3.3%
( 1
 
3.3%
Other values (3) 3
 
10.0%
Hangul
ValueCountFrequency (%)
실 14
 
5.2%
습 10
 
3.7%
건 10
 
3.7%
학 9
 
3.4%
이 8
 
3.0%
축 8
 
3.0%
터 7
 
2.6%
인 7
 
2.6%
디 7
 
2.6%
퓨 6
 
2.2%
Other values (97) 181
67.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%

Interactions

2023-12-12T17:49:27.803117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:49:29.961202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강의동강의실강의동명강의실명
강의동1.0000.4881.0001.000
강의실0.4881.0000.4880.979
강의동명1.0000.4881.0001.000
강의실명1.0000.9791.0001.000
2023-12-12T17:49:30.089379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강의동강의동명
강의동1.0001.000
강의동명1.0001.000
2023-12-12T17:49:30.186027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강의실강의동강의동명
강의실1.0000.3260.326
강의동0.3261.0001.000
강의동명0.3261.0001.000

Missing values

2023-12-12T17:49:27.946310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:49:28.072876image/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

강의동강의실강의동명강의실명
03203제2공학관Perm이론 및 실습
12214공학관컴퓨터이해와 응용
22107공학관건축재료 및 실험
32106공학관건축계획
42118공학관건축시공
52114공학관건축디자인 실습
62119공학관건축설계
72109공학관건축설계제도
82108공학관건축설계제도
92999공학관대강당
강의동강의실강의동명강의실명
432317공학관측량학
442316공학관토질역학
452115공학관공업수학
462310공학관<NA>
471502본관인터넷 실습실
481503본관소프트웨어 실습실
491504본관시스템구축 실습실
502210공학관<NA>
513312제2공학관기본간호Ⅱ이론
523302제2공학관교육심리