Overview

Dataset statistics

Number of variables3
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory938.0 B
Average record size in memory30.3 B

Variable types

Text1
Numeric2

Dataset

Description2021년 12월 31일 기준 경상남도 진주시 사업체조사결과 공표자료 중 읍면동별 사업체수 및 종사자수 현황 자료입니다.
URLhttps://www.data.go.kr/data/15116901/fileData.do

Alerts

사업체수 is highly overall correlated with 종사자수High correlation
종사자수 is highly overall correlated with 사업체수High correlation
읍면동 has unique valuesUnique
사업체수 has unique valuesUnique
종사자수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:02:06.192428
Analysis finished2023-12-12 13:02:07.032325
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T22:02:07.164326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1290323
Min length3

Characters and Unicode

Total characters97
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row전체합계
2nd row문산읍
3rd row내동면
4th row정촌면
5th row금곡면
ValueCountFrequency (%)
전체합계 1
 
3.2%
수곡면 1
 
3.2%
가호동 1
 
3.2%
판문동 1
 
3.2%
이현동 1
 
3.2%
신안동 1
 
3.2%
평거동 1
 
3.2%
초장동 1
 
3.2%
상평동 1
 
3.2%
하대동 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T22:02:07.473953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 15
 
15.5%
면 15
 
15.5%
대 4
 
4.1%
성 4
 
4.1%
곡 3
 
3.1%
상 3
 
3.1%
평 3
 
3.1%
천 2
 
2.1%
현 2
 
2.1%
수 2
 
2.1%
Other values (37) 44
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 15
 
15.5%
면 15
 
15.5%
대 4
 
4.1%
성 4
 
4.1%
곡 3
 
3.1%
상 3
 
3.1%
평 3
 
3.1%
천 2
 
2.1%
현 2
 
2.1%
수 2
 
2.1%
Other values (37) 44
45.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 15
 
15.5%
면 15
 
15.5%
대 4
 
4.1%
성 4
 
4.1%
곡 3
 
3.1%
상 3
 
3.1%
평 3
 
3.1%
천 2
 
2.1%
현 2
 
2.1%
수 2
 
2.1%
Other values (37) 44
45.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 15
 
15.5%
면 15
 
15.5%
대 4
 
4.1%
성 4
 
4.1%
곡 3
 
3.1%
상 3
 
3.1%
평 3
 
3.1%
천 2
 
2.1%
현 2
 
2.1%
수 2
 
2.1%
Other values (37) 44
45.4%

사업체수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2662.4516
Minimum84
Maximum41268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T22:02:07.598541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84
5-th percentile140.5
Q1338.5
median1123
Q32419
95-th percentile4137.5
Maximum41268
Range41184
Interquartile range (IQR)2080.5

Descriptive statistics

Standard deviation7270.1254
Coefficient of variation (CV)2.7306132
Kurtosis29.061043
Mean2662.4516
Median Absolute Deviation (MAD)934
Skewness5.3177141
Sum82536
Variance52854724
MonotonicityNot monotonic
2023-12-12T22:02:07.720251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
41268 1
 
3.2%
1123 1
 
3.2%
2771 1
 
3.2%
2081 1
 
3.2%
1274 1
 
3.2%
986 1
 
3.2%
1640 1
 
3.2%
2595 1
 
3.2%
2178 1
 
3.2%
2731 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
84 1
3.2%
137 1
3.2%
144 1
3.2%
169 1
3.2%
189 1
3.2%
231 1
3.2%
284 1
3.2%
330 1
3.2%
347 1
3.2%
351 1
3.2%
ValueCountFrequency (%)
41268 1
3.2%
4730 1
3.2%
3545 1
3.2%
3222 1
3.2%
3022 1
3.2%
2771 1
3.2%
2731 1
3.2%
2595 1
3.2%
2243 1
3.2%
2178 1
3.2%

종사자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9751.1613
Minimum327
Maximum151143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T22:02:07.840316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327
5-th percentile491.5
Q11468
median4107
Q37504
95-th percentile17601
Maximum151143
Range150816
Interquartile range (IQR)6036

Descriptive statistics

Standard deviation26680.349
Coefficient of variation (CV)2.7361202
Kurtosis28.801302
Mean9751.1613
Median Absolute Deviation (MAD)3051
Skewness5.2873987
Sum302286
Variance7.1184103 × 108
MonotonicityNot monotonic
2023-12-12T22:02:08.019866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
151143 1
 
3.2%
4903 1
 
3.2%
18745 1
 
3.2%
9141 1
 
3.2%
5415 1
 
3.2%
2671 1
 
3.2%
4107 1
 
3.2%
7834 1
 
3.2%
7174 1
 
3.2%
10074 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
327 1
3.2%
364 1
3.2%
619 1
3.2%
781 1
3.2%
861 1
3.2%
937 1
3.2%
1056 1
3.2%
1312 1
3.2%
1624 1
3.2%
1677 1
3.2%
ValueCountFrequency (%)
151143 1
3.2%
18745 1
3.2%
16457 1
3.2%
15156 1
3.2%
10074 1
3.2%
9141 1
3.2%
8092 1
3.2%
7834 1
3.2%
7174 1
3.2%
6793 1
3.2%

Interactions

2023-12-12T22:02:06.748806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:02:06.289501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:02:06.825167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:02:06.364762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:02:08.152581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동사업체수종사자수
읍면동1.0001.0001.000
사업체수1.0001.0000.985
종사자수1.0000.9851.000
2023-12-12T22:02:08.262405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업체수종사자수
사업체수1.0000.954
종사자수0.9541.000

Missing values

2023-12-12T22:02:06.929867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:02:07.000657image/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

읍면동사업체수종사자수
0전체합계41268151143
1문산읍11234903
2내동면3301624
3정촌면9784888
4금곡면231861
5진성면3512007
6일반성면347937
7이반성면1691056
8사봉면2841753
9지수면189781
읍면동사업체수종사자수
21상대동473016457
22하대동32226793
23상평동273110074
24초장동21787174
25평거동25957834
26신안동16404107
27이현동9862671
28판문동12745415
29가호동20819141
30충무공동277118745