Overview

Dataset statistics

Number of variables4
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1012.0 B
Average record size in memory38.9 B

Variable types

Numeric2
Text1
DateTime1

Dataset

Description대전광역시 서구에 등록된 건설기계조종사면허등록현황(건설기계종류(불도저, 굴착기, 로더, 기중기 등, 면허건수)에 대한 정보를 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15113065/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
건설기계종류 has unique valuesUnique
면허건수 has 3 (11.5%) zerosZeros

Reproduction

Analysis started2024-03-14 14:43:13.086612
Analysis finished2024-03-14 14:43:14.722072
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-14T23:43:14.914204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-03-14T23:43:15.311659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

건설기계종류
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-14T23:43:16.091490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.3846154
Min length2

Characters and Unicode

Total characters140
Distinct characters61
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

Unique26 ?
Unique (%)100.0%

Sample

1st row불도저
2nd row굴착기
3rd row로더
4th row스크레이퍼
5th row기중기
ValueCountFrequency (%)
불도저 1
 
3.8%
굴착기 1
 
3.8%
5톤미만천공기 1
 
3.8%
천공기 1
 
3.8%
이동식콘크리트펌프 1
 
3.8%
소형공기압축기 1
 
3.8%
타워크레인 1
 
3.8%
5톤미만로더 1
 
3.8%
5톤미만불도저 1
 
3.8%
3톤미만지게차 1
 
3.8%
Other values (16) 16
61.5%
2024-03-14T23:43:17.292250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 12
 
8.6%
미 8
 
5.7%
만 8
 
5.7%
톤 8
 
5.7%
3 5
 
3.6%
트 4
 
2.9%
더 4
 
2.9%
공 4
 
2.9%
크 4
 
2.9%
레 4
 
2.9%
Other values (51) 79
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
94.3%
Decimal Number 8
 
5.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 12
 
9.1%
미 8
 
6.1%
만 8
 
6.1%
톤 8
 
6.1%
트 4
 
3.0%
더 4
 
3.0%
공 4
 
3.0%
크 4
 
3.0%
레 4
 
3.0%
불 3
 
2.3%
Other values (49) 73
55.3%
Decimal Number
ValueCountFrequency (%)
3 5
62.5%
5 3
37.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
94.3%
Common 8
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 12
 
9.1%
미 8
 
6.1%
만 8
 
6.1%
톤 8
 
6.1%
트 4
 
3.0%
더 4
 
3.0%
공 4
 
3.0%
크 4
 
3.0%
레 4
 
3.0%
불 3
 
2.3%
Other values (49) 73
55.3%
Common
ValueCountFrequency (%)
3 5
62.5%
5 3
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
94.3%
ASCII 8
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 12
 
9.1%
미 8
 
6.1%
만 8
 
6.1%
톤 8
 
6.1%
트 4
 
3.0%
더 4
 
3.0%
공 4
 
3.0%
크 4
 
3.0%
레 4
 
3.0%
불 3
 
2.3%
Other values (49) 73
55.3%
ASCII
ValueCountFrequency (%)
3 5
62.5%
5 3
37.5%

면허건수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean462.92308
Minimum0
Maximum3959
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-14T23:43:17.670943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.5
median61.5
Q3216
95-th percentile2852
Maximum3959
Range3959
Interquartile range (IQR)209.5

Descriptive statistics

Standard deviation1024.0478
Coefficient of variation (CV)2.2121338
Kurtosis6.1646978
Mean462.92308
Median Absolute Deviation (MAD)59
Skewness2.6416395
Sum12036
Variance1048673.8
MonotonicityNot monotonic
2024-03-14T23:43:17.913323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 3
 
11.5%
220 1
 
3.8%
133 1
 
3.8%
8 1
 
3.8%
80 1
 
3.8%
2 1
 
3.8%
76 1
 
3.8%
112 1
 
3.8%
6 1
 
3.8%
3959 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
0 3
11.5%
2 1
 
3.8%
3 1
 
3.8%
5 1
 
3.8%
6 1
 
3.8%
8 1
 
3.8%
9 1
 
3.8%
10 1
 
3.8%
30 1
 
3.8%
32 1
 
3.8%
ValueCountFrequency (%)
3959 1
3.8%
2970 1
3.8%
2498 1
3.8%
775 1
3.8%
446 1
3.8%
335 1
3.8%
220 1
3.8%
204 1
3.8%
133 1
3.8%
112 1
3.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
Minimum2024-03-06 00:00:00
Maximum2024-03-06 00:00:00
2024-03-14T23:43:18.115183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:43:18.272046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T23:43:13.738294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:43:13.241059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:43:13.991137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:43:13.477405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:43:18.393276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번건설기계종류면허건수
순번1.0001.0000.000
건설기계종류1.0001.0001.000
면허건수0.0001.0001.000
2024-03-14T23:43:18.559688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번면허건수
순번1.000-0.363
면허건수-0.3631.000

Missing values

2024-03-14T23:43:14.336347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:43:14.611175image/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

순번건설기계종류면허건수데이터기준일자
01불도저2202024-03-06
12굴착기24982024-03-06
23로더4462024-03-06
34스크레이퍼32024-03-06
45기중기3352024-03-06
56모터그레이더322024-03-06
67롤러2042024-03-06
783톤미만굴착기7752024-03-06
89지게차29702024-03-06
910아스팔트피니셔92024-03-06
순번건설기계종류면허건수데이터기준일자
16173톤미만불도저02024-03-06
17183톤미만지게차39592024-03-06
18195톤미만불도저62024-03-06
19205톤미만로더1122024-03-06
2021타워크레인762024-03-06
2122소형공기압축기22024-03-06
2223이동식콘크리트펌프02024-03-06
2324천공기802024-03-06
24255톤미만천공기82024-03-06
25263톤미만타워크레인1332024-03-06