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

Description강원도 시험 회차별 공인중개사 자격현황
Author국토교통부
URLhttps://www.data.go.kr/data/15063453/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 01:17:45.638545
Analysis finished2023-12-12 01:17:46.323663
Duration0.69 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
강원도
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 30
100.0%

Length

2023-12-12T10:17:46.402766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:17:46.522696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 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
2023-12-12T10:17:46.642001image/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
2023-12-12T10:17:46.809231image/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%
Mean180.63333
Minimum5
Maximum574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:17:46.964268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7.35
Q145
median178.5
Q3246.5
95-th percentile414.75
Maximum574
Range569
Interquartile range (IQR)201.5

Descriptive statistics

Standard deviation142.07708
Coefficient of variation (CV)0.7865496
Kurtosis0.56302752
Mean180.63333
Median Absolute Deviation (MAD)106
Skewness0.7586522
Sum5419
Variance20185.895
MonotonicityNot monotonic
2023-12-12T10:17:47.134384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
574 1
 
3.3%
192 1
 
3.3%
401 1
 
3.3%
269 1
 
3.3%
36 1
 
3.3%
331 1
 
3.3%
222 1
 
3.3%
146 1
 
3.3%
172 1
 
3.3%
185 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
5 1
3.3%
6 1
3.3%
9 1
3.3%
11 1
3.3%
12 1
3.3%
22 1
3.3%
36 1
3.3%
44 1
3.3%
48 1
3.3%
128 1
3.3%
ValueCountFrequency (%)
574 1
3.3%
426 1
3.3%
401 1
3.3%
336 1
3.3%
331 1
3.3%
300 1
3.3%
269 1
3.3%
248 1
3.3%
242 1
3.3%
236 1
3.3%

Interactions

2023-12-12T10:17:45.953789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:45.719989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:46.055995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:17:45.833890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:17:47.256927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시험회차관리대상자수
시험회차1.0000.708
관리대상자수0.7081.000
2023-12-12T10:17:47.374959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시험회차관리대상자수
시험회차1.0000.498
관리대상자수0.4981.000

Missing values

2023-12-12T10:17:46.195468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:17:46.290951image/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
0강원도1574
1강원도244
2강원도311
3강원도448
4강원도522
5강원도65
6강원도76
7강원도89
8강원도912
9강원도10128
시도명시험회차관리대상자수
20강원도21203
21강원도22189
22강원도23185
23강원도24172
24강원도25146
25강원도26222
26강원도27331
27강원도2836
28강원도29269
29강원도30401