Overview

Dataset statistics

Number of variables3
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory912.0 B
Average record size in memory30.4 B

Variable types

Categorical1
Numeric2

Dataset

Description인천광역시 시험 회차별 공인중개사 자격현황
Author국토교통부
URLhttps://www.data.go.kr/data/15063466/fileData.do

Alerts

시도명 has constant value ""Constant
시험회차 has unique valuesUnique
관리대상자수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:50:22.954814
Analysis finished2023-12-12 11:50:23.670919
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
인천광역시
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 30
100.0%

Length

2023-12-12T20:50:24.064328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:50:24.161420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 30
100.0%

시험회차
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T20:50:24.269349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-12T20:50:24.392250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

관리대상자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean848.03333
Minimum26
Maximum2046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T20:50:24.562958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile93.75
Q1304.5
median826
Q31188.25
95-th percentile1995.35
Maximum2046
Range2020
Interquartile range (IQR)883.75

Descriptive statistics

Standard deviation611.38145
Coefficient of variation (CV)0.72094035
Kurtosis-0.70423965
Mean848.03333
Median Absolute Deviation (MAD)446.5
Skewness0.44514394
Sum25441
Variance373787.27
MonotonicityNot monotonic
2023-12-12T20:50:24.718453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1753 1
 
3.3%
526 1
 
3.3%
1334 1
 
3.3%
803 1
 
3.3%
1043 1
 
3.3%
904 1
 
3.3%
570 1
 
3.3%
372 1
 
3.3%
387 1
 
3.3%
595 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
26 1
3.3%
87 1
3.3%
102 1
3.3%
139 1
3.3%
145 1
3.3%
154 1
3.3%
169 1
3.3%
282 1
3.3%
372 1
3.3%
387 1
3.3%
ValueCountFrequency (%)
2046 1
3.3%
2021 1
3.3%
1964 1
3.3%
1753 1
3.3%
1425 1
3.3%
1334 1
3.3%
1252 1
3.3%
1190 1
3.3%
1183 1
3.3%
1133 1
3.3%

Interactions

2023-12-12T20:50:23.233680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:23.024766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:23.353516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:23.125246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:50:24.829236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시험회차관리대상자수
시험회차1.0000.763
관리대상자수0.7631.000
2023-12-12T20:50:24.904437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시험회차관리대상자수
시험회차1.0000.330
관리대상자수0.3301.000

Missing values

2023-12-12T20:50:23.524812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:50:23.634958image/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

시도명시험회차관리대상자수
0인천광역시11753
1인천광역시2102
2인천광역시326
3인천광역시4154
4인천광역시5169
5인천광역시6139
6인천광역시7145
7인천광역시887
8인천광역시9282
9인천광역시101133
시도명시험회차관리대상자수
20인천광역시211252
21인천광역시22800
22인천광역시23595
23인천광역시24387
24인천광역시25372
25인천광역시26570
26인천광역시27904
27인천광역시281043
28인천광역시29803
29인천광역시301334