Overview

Dataset statistics

Number of variables4
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory34.3 B

Variable types

Numeric1
Categorical2
Text1

Alerts

연번 is highly overall correlated with 동High correlation
동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:47:23.870562
Analysis finished2024-03-14 02:47:24.242440
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-03-14T11:47:24.369750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q125.5
median50
Q374.5
95-th percentile94.1
Maximum99
Range98
Interquartile range (IQR)49

Descriptive statistics

Standard deviation28.722813
Coefficient of variation (CV)0.57445626
Kurtosis-1.2
Mean50
Median Absolute Deviation (MAD)25
Skewness0
Sum4950
Variance825
MonotonicityStrictly increasing
2024-03-14T11:47:24.515500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
64 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%

동
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
청사동
47 
의회동
12 
승강기
11 
대강당
8 
주차장
8 
Other values (3)
13 

Length

Max length3
Median length3
Mean length2.8989899
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청사동 47
47.5%
의회동 12
 
12.1%
승강기 11
 
11.1%
대강당 8
 
8.1%
주차장 8
 
8.1%
외곽 8
 
8.1%
공연장 3
 
3.0%
별관 2
 
2.0%

Length

2024-03-14T11:47:24.620690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:47:24.707155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청사동 47
47.5%
의회동 12
 
12.1%
승강기 11
 
11.1%
대강당 8
 
8.1%
주차장 8
 
8.1%
외곽 8
 
8.1%
공연장 3
 
3.0%
별관 2
 
2.0%

층
Categorical

Distinct23
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size924.0 B
B1F
26 
1F
13 
內
11 
야외
8 
2F
7 
Other values (18)
34 

Length

Max length3
Median length2
Mean length2.3030303
Min length1

Unique

Unique14 ?
Unique (%)14.1%

Sample

1st row옥상
2nd row18F
3rd row17F
4th row16F
5th row15F

Common Values

ValueCountFrequency (%)
B1F 26
26.3%
1F 13
13.1%
內 11
11.1%
야외 8
 
8.1%
2F 7
 
7.1%
4F 7
 
7.1%
B2F 6
 
6.1%
3F 5
 
5.1%
5F 2
 
2.0%
12F 1
 
1.0%
Other values (13) 13
13.1%

Length

2024-03-14T11:47:24.810212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
b1f 26
26.3%
1f 13
13.1%
內 11
11.1%
야외 8
 
8.1%
2f 7
 
7.1%
4f 7
 
7.1%
b2f 6
 
6.1%
3f 5
 
5.1%
5f 2
 
2.0%
11f 1
 
1.0%
Other values (13) 13
13.1%

설치장소(위치)
Text

Distinct75
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-03-14T11:47:25.033023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.2727273
Min length3

Characters and Unicode

Total characters621
Distinct characters132
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)73.7%

Sample

1st row옥상 헬기 착륙장
2nd row승강장 홀
3rd row승강장 홀
4th row승강장 홀
5th row승강장 홀
ValueCountFrequency (%)
앞 27
 
13.2%
승강장 25
 
12.3%
홀 25
 
12.3%
주차장 7
 
3.4%
복도 4
 
2.0%
청사동 3
 
1.5%
정문 3
 
1.5%
중앙 3
 
1.5%
민원실 3
 
1.5%
內 3
 
1.5%
Other values (85) 101
49.5%
2024-03-14T11:47:25.387958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
16.9%
장 49
 
7.9%
앞 28
 
4.5%
강 26
 
4.2%
승 25
 
4.0%
홀 25
 
4.0%
실 18
 
2.9%
기 17
 
2.7%
문 14
 
2.3%
호 13
 
2.1%
Other values (122) 301
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
78.1%
Space Separator 105
 
16.9%
Decimal Number 24
 
3.9%
Lowercase Letter 3
 
0.5%
Uppercase Letter 2
 
0.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 49
 
10.1%
앞 28
 
5.8%
강 26
 
5.4%
승 25
 
5.2%
홀 25
 
5.2%
실 18
 
3.7%
기 17
 
3.5%
문 14
 
2.9%
호 13
 
2.7%
의 10
 
2.1%
Other values (104) 260
53.6%
Decimal Number
ValueCountFrequency (%)
1 9
37.5%
2 6
25.0%
7 2
 
8.3%
6 1
 
4.2%
9 1
 
4.2%
0 1
 
4.2%
8 1
 
4.2%
5 1
 
4.2%
4 1
 
4.2%
3 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
n 1
33.3%
t 1
33.3%
u 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
O 1
50.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 482
77.6%
Common 131
 
21.1%
Latin 5
 
0.8%
Han 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 49
 
10.2%
앞 28
 
5.8%
강 26
 
5.4%
승 25
 
5.2%
홀 25
 
5.2%
실 18
 
3.7%
기 17
 
3.5%
문 14
 
2.9%
호 13
 
2.7%
의 10
 
2.1%
Other values (103) 257
53.3%
Common
ValueCountFrequency (%)
105
80.2%
1 9
 
6.9%
2 6
 
4.6%
7 2
 
1.5%
6 1
 
0.8%
9 1
 
0.8%
0 1
 
0.8%
( 1
 
0.8%
8 1
 
0.8%
5 1
 
0.8%
Other values (3) 3
 
2.3%
Latin
ValueCountFrequency (%)
n 1
20.0%
t 1
20.0%
I 1
20.0%
u 1
20.0%
O 1
20.0%
Han
ValueCountFrequency (%)
內 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 482
77.6%
ASCII 136
 
21.9%
CJK 3
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
77.2%
1 9
 
6.6%
2 6
 
4.4%
7 2
 
1.5%
n 1
 
0.7%
t 1
 
0.7%
I 1
 
0.7%
u 1
 
0.7%
O 1
 
0.7%
6 1
 
0.7%
Other values (8) 8
 
5.9%
Hangul
ValueCountFrequency (%)
장 49
 
10.2%
앞 28
 
5.8%
강 26
 
5.4%
승 25
 
5.2%
홀 25
 
5.2%
실 18
 
3.7%
기 17
 
3.5%
문 14
 
2.9%
호 13
 
2.7%
의 10
 
2.1%
Other values (103) 257
53.3%
CJK
ValueCountFrequency (%)
內 3
100.0%

Interactions

2024-03-14T11:47:24.023694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:47:25.483794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동층설치장소(위치)
연번1.0000.8630.7940.829
동0.8631.0000.8090.950
층0.7940.8091.0000.000
설치장소(위치)0.8290.9500.0001.000
2024-03-14T11:47:25.578875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동층
동1.0000.447
층0.4471.000
2024-03-14T11:47:25.646229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동층
연번1.0000.6270.405
동0.6271.0000.447
층0.4050.4471.000

Missing values

2024-03-14T11:47:24.104823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:47:24.201313image/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

연번동층설치장소(위치)
01청사동옥상옥상 헬기 착륙장
12청사동18F승강장 홀
23청사동17F승강장 홀
34청사동16F승강장 홀
45청사동15F승강장 홀
56청사동14F승강장 홀
67청사동13F승강장 홀
78청사동12F승강장 홀
89청사동11F승강장 홀
910청사동10F승강장 홀
연번동층설치장소(위치)
8990의회동2F의원총회의실 출입문2
9091의회동1F로비중앙 계단
9192의회동1F기자회견장 앞
9293의회동1F농협 앞 복도
9394의회동B1F승강장 홀
9495의회동B1F자료열람실 앞
9596의회동B1F문서고 앞
9697의회동B1F의회 지하주차장
9798승강기內10호기
9899승강기內11호기