Overview

Dataset statistics

Number of variables2
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory625.0 B
Average record size in memory21.6 B

Variable types

Numeric1
Text1

Dataset

Description경남대표서관 전자도서관 카테고리 공공데이터입니다. 도서관 운영를 위한 정보로, 경영 및 경제, 외국어, 사회, 역사 등 분류명에 대한 데이터를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15092189/fileData.do

Alerts

분류번호 has unique valuesUnique
분류명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:35:04.504376
Analysis finished2023-12-12 13:35:04.828881
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류번호
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T22:35:04.916993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-12T22:35:05.062052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

분류명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T22:35:05.298320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length4.8275862
Min length2

Characters and Unicode

Total characters140
Distinct characters84
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

Unique29 ?
Unique (%)100.0%

Sample

1st row경영/경제
2nd row기타/미분류
3rd row자기계발
4th row소설/희곡
5th row장르
ValueCountFrequency (%)
경영/경제 1
 
3.4%
예술/대중문화 1
 
3.4%
인물/평전 1
 
3.4%
문학 1
 
3.4%
사회과학 1
 
3.4%
외국도서 1
 
3.4%
도서요약 1
 
3.4%
만화 1
 
3.4%
교양 1
 
3.4%
유아 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T22:35:05.660393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 20
 
14.3%
6
 
4.3%
4
 
2.9%
4
 
2.9%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
2
 
1.4%
2
 
1.4%
Other values (74) 90
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
85.7%
Other Punctuation 20
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
5.0%
4
 
3.3%
4
 
3.3%
3
 
2.5%
3
 
2.5%
3
 
2.5%
3
 
2.5%
2
 
1.7%
2
 
1.7%
2
 
1.7%
Other values (73) 88
73.3%
Other Punctuation
ValueCountFrequency (%)
/ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120
85.7%
Common 20
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
5.0%
4
 
3.3%
4
 
3.3%
3
 
2.5%
3
 
2.5%
3
 
2.5%
3
 
2.5%
2
 
1.7%
2
 
1.7%
2
 
1.7%
Other values (73) 88
73.3%
Common
ValueCountFrequency (%)
/ 20
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120
85.7%
ASCII 20
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 20
100.0%
Hangul
ValueCountFrequency (%)
6
 
5.0%
4
 
3.3%
4
 
3.3%
3
 
2.5%
3
 
2.5%
3
 
2.5%
3
 
2.5%
2
 
1.7%
2
 
1.7%
2
 
1.7%
Other values (73) 88
73.3%

Interactions

2023-12-12T22:35:04.591121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:35:05.774487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류번호분류명
분류번호1.0001.000
분류명1.0001.000

Missing values

2023-12-12T22:35:04.719223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:35:04.795327image/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

분류번호분류명
01경영/경제
12기타/미분류
23자기계발
34소설/희곡
45장르
56시/에세이
67인문
78외국어
89사회/정치/법
910역사/풍속/신화
분류번호분류명
1920아동/청소년
2021유아
2122교양
2223만화
2324도서요약
2425외국도서
2526사회과학
2627문학
2728인물/평전
2829이론과평론