Overview

Dataset statistics

Number of variables4
Number of observations55
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory36.4 B

Variable types

Numeric2
Categorical2

Dataset

Description제주특별자치도 관광 사업체별 종사자 수 현황 데이터로, 2013년에서 2019년까지 제주특별자치도 내 관광 사업체 구분에 따른 종사자 수 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15096946/fileData.do

Alerts

시도 has constant value ""Constant
종사자 수(명) is highly overall correlated with 업종 구분High correlation
업종 구분 is highly overall correlated with 종사자 수(명)High correlation
종사자 수(명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:25:14.454485
Analysis finished2023-12-12 04:25:15.061316
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct7
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.9455
Minimum2013
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T13:25:15.117578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12014
median2016
Q32018
95-th percentile2019
Maximum2019
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.9946055
Coefficient of variation (CV)0.00098941443
Kurtosis-1.2325633
Mean2015.9455
Median Absolute Deviation (MAD)2
Skewness0.019770755
Sum110877
Variance3.9784512
MonotonicityIncreasing
2023-12-12T13:25:15.225722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2013 8
14.5%
2014 8
14.5%
2015 8
14.5%
2016 8
14.5%
2017 8
14.5%
2018 8
14.5%
2019 7
12.7%
ValueCountFrequency (%)
2013 8
14.5%
2014 8
14.5%
2015 8
14.5%
2016 8
14.5%
2017 8
14.5%
2018 8
14.5%
2019 7
12.7%
ValueCountFrequency (%)
2019 7
12.7%
2018 8
14.5%
2017 8
14.5%
2016 8
14.5%
2015 8
14.5%
2014 8
14.5%
2013 8
14.5%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
제주
55 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주 55
100.0%

Length

2023-12-12T13:25:15.371327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:15.450700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주 55
100.0%

업종 구분
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
여행업
7 
관광숙박업
7 
관광객이용시설업
7 
국제회의업
7 
카지노업
7 
Other values (3)
20 

Length

Max length8
Median length7
Mean length4.9272727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전체
2nd row여행업
3rd row관광숙박업
4th row관광객이용시설업
5th row국제회의업

Common Values

ValueCountFrequency (%)
여행업 7
12.7%
관광숙박업 7
12.7%
관광객이용시설업 7
12.7%
국제회의업 7
12.7%
카지노업 7
12.7%
유원시설업 7
12.7%
관광편의시설업 7
12.7%
전체 6
10.9%

Length

2023-12-12T13:25:15.549806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:15.670321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여행업 7
12.7%
관광숙박업 7
12.7%
관광객이용시설업 7
12.7%
국제회의업 7
12.7%
카지노업 7
12.7%
유원시설업 7
12.7%
관광편의시설업 7
12.7%
전체 6
10.9%

종사자 수(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4314.9273
Minimum28
Maximum21150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T13:25:15.814595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile208.5
Q11002.5
median1722
Q35087.5
95-th percentile18579.6
Maximum21150
Range21122
Interquartile range (IQR)4085

Descriptive statistics

Standard deviation5465.654
Coefficient of variation (CV)1.2666851
Kurtosis2.6934228
Mean4314.9273
Median Absolute Deviation (MAD)1269
Skewness1.8791231
Sum237321
Variance29873373
MonotonicityNot monotonic
2023-12-12T13:25:15.965952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14396 1
 
1.8%
2888 1
 
1.8%
1733 1
 
1.8%
1296 1
 
1.8%
19328 1
 
1.8%
4895 1
 
1.8%
7738 1
 
1.8%
1757 1
 
1.8%
219 1
 
1.8%
1667 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
28 1
1.8%
37 1
1.8%
184 1
1.8%
219 1
1.8%
233 1
1.8%
247 1
1.8%
385 1
1.8%
453 1
1.8%
651 1
1.8%
683 1
1.8%
ValueCountFrequency (%)
21150 1
1.8%
19328 1
1.8%
19309 1
1.8%
18267 1
1.8%
15767 1
1.8%
14396 1
1.8%
9484 1
1.8%
8732 1
1.8%
8327 1
1.8%
7738 1
1.8%

Interactions

2023-12-12T13:25:14.726985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:14.558302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:14.817369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:14.638461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:25:16.054471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도업종 구분종사자 수(명)
연도1.0000.0000.000
업종 구분0.0001.0000.791
종사자 수(명)0.0000.7911.000
2023-12-12T13:25:16.135436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도종사자 수(명)업종 구분
연도1.0000.0740.000
종사자 수(명)0.0741.0000.538
업종 구분0.0000.5381.000

Missing values

2023-12-12T13:25:14.925397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:25:15.021824image/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

연도시도업종 구분종사자 수(명)
02013제주전체14396
12013제주여행업2888
22013제주관광숙박업6405
32013제주관광객이용시설업1631
42013제주국제회의업233
52013제주카지노업1227
62013제주유원시설업385
72013제주관광편의시설업1627
82014제주전체19309
92014제주여행업5280
연도시도업종 구분종사자 수(명)
452018제주카지노업1722
462018제주유원시설업1391
472018제주관광편의시설업2364
482019제주여행업3188
492019제주관광숙박업8732
502019제주관광객이용시설업1462
512019제주국제회의업247
522019제주카지노업1695
532019제주유원시설업934
542019제주관광편의시설업4629