Overview

Dataset statistics

Number of variables23
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory210.5 B

Variable types

Categorical2
Numeric20
DateTime1

Dataset

Description제주특별자치도에서 2014~2017년도 시군구별 흡연률, 음주율, 비만율, 스트레스 인지율, 우울감 경험률, 고혈압·당뇨병·관절염 진단 경험률 정보
Author제주특별자치도
URLhttps://www.data.go.kr/data/15045341/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관절염 진단 경험률(표준화율) has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:18:45.890271
Analysis finished2023-12-12 20:18:46.126137
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
서귀포시 서귀포
서귀포시 동부
서귀포시 서부
제주시 제주
제주시 동부

Length

Max length8
Median length7.5
Mean length6.6666667
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서귀포시 서귀포
2nd row서귀포시 서귀포
3rd row서귀포시 서귀포
4th row서귀포시 서귀포
5th row서귀포시 동부

Common Values

ValueCountFrequency (%)
서귀포시 서귀포 4
16.7%
서귀포시 동부 4
16.7%
서귀포시 서부 4
16.7%
제주시 제주 4
16.7%
제주시 동부 4
16.7%
제주시 서부 4
16.7%

Length

2023-12-13T05:18:46.240165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:18:46.402987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시 12
25.0%
제주시 12
25.0%
동부 8
16.7%
서부 8
16.7%
서귀포 4
 
8.3%
제주 4
 
8.3%

해당연도
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2014
2015
2016
2017

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2014
2nd row2015
3rd row2016
4th row2017
5th row2014

Common Values

ValueCountFrequency (%)
2014 6
25.0%
2015 6
25.0%
2016 6
25.0%
2017 6
25.0%

Length

2023-12-13T05:18:46.565622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:18:46.690898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2014 6
25.0%
2015 6
25.0%
2016 6
25.0%
2017 6
25.0%

현재흡연율(조율)
Real number (ℝ)

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.577917
Minimum19.5
Maximum27.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:46.803325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.5
5-th percentile20.775
Q122.0175
median23.8
Q325.125
95-th percentile26.835
Maximum27.2
Range7.7
Interquartile range (IQR)3.1075

Descriptive statistics

Standard deviation2.0182558
Coefficient of variation (CV)0.08559941
Kurtosis-0.65529194
Mean23.577917
Median Absolute Deviation (MAD)1.5
Skewness-0.045234856
Sum565.87
Variance4.0733563
MonotonicityNot monotonic
2023-12-13T05:18:46.961729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
23.8 3
 
12.5%
22.5 2
 
8.3%
25.4 1
 
4.2%
27.0 1
 
4.2%
24.9 1
 
4.2%
22.1 1
 
4.2%
27.2 1
 
4.2%
21.2 1
 
4.2%
24.3 1
 
4.2%
21.77 1
 
4.2%
Other values (11) 11
45.8%
ValueCountFrequency (%)
19.5 1
4.2%
20.7 1
4.2%
21.2 1
4.2%
21.4 1
4.2%
21.7 1
4.2%
21.77 1
4.2%
22.1 1
4.2%
22.5 2
8.3%
22.6 1
4.2%
23.4 1
4.2%
ValueCountFrequency (%)
27.2 1
4.2%
27.0 1
4.2%
25.9 1
4.2%
25.7 1
4.2%
25.4 1
4.2%
25.2 1
4.2%
25.1 1
4.2%
24.9 1
4.2%
24.4 1
4.2%
24.3 1
4.2%
Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.720833
Minimum19.6
Maximum28.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:47.111245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.6
5-th percentile21.445
Q122.575
median25.25
Q327.025
95-th percentile27.725
Maximum28.1
Range8.5
Interquartile range (IQR)4.45

Descriptive statistics

Standard deviation2.4388128
Coefficient of variation (CV)0.098654151
Kurtosis-1.0773433
Mean24.720833
Median Absolute Deviation (MAD)2
Skewness-0.36289629
Sum593.3
Variance5.947808
MonotonicityNot monotonic
2023-12-13T05:18:47.238072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
27.2 2
 
8.3%
22.6 2
 
8.3%
28.1 1
 
4.2%
26.6 1
 
4.2%
25.1 1
 
4.2%
23.9 1
 
4.2%
27.3 1
 
4.2%
21.4 1
 
4.2%
25.5 1
 
4.2%
22.3 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
19.6 1
4.2%
21.4 1
4.2%
21.7 1
4.2%
22.0 1
4.2%
22.3 1
4.2%
22.5 1
4.2%
22.6 2
8.3%
23.2 1
4.2%
23.9 1
4.2%
24.7 1
4.2%
ValueCountFrequency (%)
28.1 1
4.2%
27.8 1
4.2%
27.3 1
4.2%
27.2 2
8.3%
27.1 1
4.2%
27.0 1
4.2%
26.6 1
4.2%
26.5 1
4.2%
26.0 1
4.2%
25.5 1
4.2%
Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.770833
Minimum38
Maximum49.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:47.368869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile38.73
Q140.675
median43.5
Q346.75
95-th percentile49.595
Maximum49.9
Range11.9
Interquartile range (IQR)6.075

Descriptive statistics

Standard deviation3.5960702
Coefficient of variation (CV)0.082156768
Kurtosis-1.0574862
Mean43.770833
Median Absolute Deviation (MAD)2.95
Skewness0.18227689
Sum1050.5
Variance12.931721
MonotonicityNot monotonic
2023-12-13T05:18:47.509977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
42.2 2
 
8.3%
43.8 2
 
8.3%
47.4 1
 
4.2%
49.7 1
 
4.2%
42.5 1
 
4.2%
40.5 1
 
4.2%
49.9 1
 
4.2%
38.9 1
 
4.2%
46.9 1
 
4.2%
39.9 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
38.0 1
4.2%
38.7 1
4.2%
38.9 1
4.2%
39.9 1
4.2%
40.5 1
4.2%
40.6 1
4.2%
40.7 1
4.2%
41.9 1
4.2%
42.2 2
8.3%
42.5 1
4.2%
ValueCountFrequency (%)
49.9 1
4.2%
49.7 1
4.2%
49.0 1
4.2%
48.2 1
4.2%
47.4 1
4.2%
46.9 1
4.2%
46.7 1
4.2%
45.9 1
4.2%
45.5 1
4.2%
44.4 1
4.2%
Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.516667
Minimum37.8
Maximum52.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:47.658949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.8
5-th percentile39.82
Q142.675
median47.1
Q350.675
95-th percentile52.15
Maximum52.6
Range14.8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.5023343
Coefficient of variation (CV)0.096789703
Kurtosis-1.2811577
Mean46.516667
Median Absolute Deviation (MAD)4
Skewness-0.28184956
Sum1116.4
Variance20.271014
MonotonicityNot monotonic
2023-12-13T05:18:47.785693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
51.1 2
 
8.3%
42.3 2
 
8.3%
50.6 1
 
4.2%
51.3 1
 
4.2%
48.0 1
 
4.2%
46.2 1
 
4.2%
44.8 1
 
4.2%
50.9 1
 
4.2%
39.7 1
 
4.2%
50.4 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
37.8 1
4.2%
39.7 1
4.2%
40.5 1
4.2%
42.1 1
4.2%
42.3 2
8.3%
42.8 1
4.2%
43.1 1
4.2%
43.9 1
4.2%
44.6 1
4.2%
44.8 1
4.2%
ValueCountFrequency (%)
52.6 1
4.2%
52.3 1
4.2%
51.3 1
4.2%
51.1 2
8.3%
50.9 1
4.2%
50.6 1
4.2%
50.4 1
4.2%
50.2 1
4.2%
49.0 1
4.2%
48.8 1
4.2%

월간음주율(조율)
Real number (ℝ)

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.170833
Minimum49.9
Maximum65.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:47.909007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.9
5-th percentile50.1
Q152.5
median54.1
Q356.65
95-th percentile62.69
Maximum65.1
Range15.2
Interquartile range (IQR)4.15

Descriptive statistics

Standard deviation3.9868784
Coefficient of variation (CV)0.072264241
Kurtosis0.58900097
Mean55.170833
Median Absolute Deviation (MAD)1.8
Skewness1.0110627
Sum1324.1
Variance15.895199
MonotonicityNot monotonic
2023-12-13T05:18:48.025281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
52.5 3
 
12.5%
53.9 2
 
8.3%
50.1 2
 
8.3%
54.1 2
 
8.3%
59.8 1
 
4.2%
56.8 1
 
4.2%
56.6 1
 
4.2%
54.9 1
 
4.2%
56.1 1
 
4.2%
61.5 1
 
4.2%
Other values (9) 9
37.5%
ValueCountFrequency (%)
49.9 1
 
4.2%
50.1 2
8.3%
52.1 1
 
4.2%
52.5 3
12.5%
52.8 1
 
4.2%
53.9 2
8.3%
54.0 1
 
4.2%
54.1 2
8.3%
54.3 1
 
4.2%
54.4 1
 
4.2%
ValueCountFrequency (%)
65.1 1
4.2%
62.9 1
4.2%
61.5 1
4.2%
59.8 1
4.2%
59.2 1
4.2%
56.8 1
4.2%
56.6 1
4.2%
56.1 1
4.2%
54.9 1
4.2%
54.4 1
4.2%
Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.5625
Minimum56
Maximum66.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:48.163843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile56.145
Q158.6
median60.65
Q362.8
95-th percentile64.18
Maximum66.6
Range10.6
Interquartile range (IQR)4.2

Descriptive statistics

Standard deviation2.7159453
Coefficient of variation (CV)0.044845329
Kurtosis-0.28873045
Mean60.5625
Median Absolute Deviation (MAD)2.1
Skewness0.10673493
Sum1453.5
Variance7.3763587
MonotonicityNot monotonic
2023-12-13T05:18:48.294780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
63.5 2
 
8.3%
62.8 2
 
8.3%
58.6 2
 
8.3%
60.6 2
 
8.3%
59.7 1
 
4.2%
58.9 1
 
4.2%
56.4 1
 
4.2%
61.4 1
 
4.2%
56.1 1
 
4.2%
56.0 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
56.0 1
4.2%
56.1 1
4.2%
56.4 1
4.2%
57.6 1
4.2%
58.2 1
4.2%
58.6 2
8.3%
58.9 1
4.2%
59.7 1
4.2%
60.0 1
4.2%
60.6 2
8.3%
ValueCountFrequency (%)
66.6 1
4.2%
64.3 1
4.2%
63.5 2
8.3%
62.9 1
4.2%
62.8 2
8.3%
61.8 1
4.2%
61.4 1
4.2%
61.0 1
4.2%
60.9 1
4.2%
60.7 1
4.2%
Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.2125
Minimum16.3
Maximum29.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:48.405826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.3
5-th percentile18
Q120.1
median22.15
Q323.85
95-th percentile26.585
Maximum29.1
Range12.8
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.9228206
Coefficient of variation (CV)0.1315845
Kurtosis0.32461086
Mean22.2125
Median Absolute Deviation (MAD)1.95
Skewness0.30015548
Sum533.1
Variance8.5428804
MonotonicityNot monotonic
2023-12-13T05:18:48.516033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20.1 2
 
8.3%
19.8 2
 
8.3%
20.2 1
 
4.2%
17.7 1
 
4.2%
24.0 1
 
4.2%
22.3 1
 
4.2%
26.6 1
 
4.2%
21.0 1
 
4.2%
26.5 1
 
4.2%
20.9 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
16.3 1
4.2%
17.7 1
4.2%
19.7 1
4.2%
19.8 2
8.3%
20.1 2
8.3%
20.2 1
4.2%
20.9 1
4.2%
21.0 1
4.2%
21.3 1
4.2%
22.0 1
4.2%
ValueCountFrequency (%)
29.1 1
4.2%
26.6 1
4.2%
26.5 1
4.2%
25.0 1
4.2%
24.1 1
4.2%
24.0 1
4.2%
23.8 1
4.2%
23.4 1
4.2%
23.3 1
4.2%
23.2 1
4.2%
Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.616667
Minimum15.7
Maximum27.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:48.663754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.7
5-th percentile16.945
Q119.45
median20.5
Q322.05
95-th percentile24.92
Maximum27.2
Range11.5
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation2.6903477
Coefficient of variation (CV)0.13049383
Kurtosis0.42339285
Mean20.616667
Median Absolute Deviation (MAD)1.6
Skewness0.38173857
Sum494.8
Variance7.237971
MonotonicityNot monotonic
2023-12-13T05:18:48.798244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
19.7 3
 
12.5%
17.2 2
 
8.3%
16.9 1
 
4.2%
22.4 1
 
4.2%
21.0 1
 
4.2%
25.1 1
 
4.2%
17.8 1
 
4.2%
23.9 1
 
4.2%
19.9 1
 
4.2%
15.7 1
 
4.2%
Other values (11) 11
45.8%
ValueCountFrequency (%)
15.7 1
 
4.2%
16.9 1
 
4.2%
17.2 2
8.3%
17.8 1
 
4.2%
18.7 1
 
4.2%
19.7 3
12.5%
19.9 1
 
4.2%
20.0 1
 
4.2%
20.4 1
 
4.2%
20.6 1
 
4.2%
ValueCountFrequency (%)
27.2 1
4.2%
25.1 1
4.2%
23.9 1
4.2%
23.0 1
4.2%
22.4 1
4.2%
22.2 1
4.2%
22.0 1
4.2%
21.7 1
4.2%
21.5 1
4.2%
21.3 1
4.2%

비만율(조율)
Real number (ℝ)

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.583333
Minimum25.1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:48.915179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.1
5-th percentile25.625
Q129.4
median31.3
Q333.175
95-th percentile38.705
Maximum40
Range14.9
Interquartile range (IQR)3.775

Descriptive statistics

Standard deviation3.9632734
Coefficient of variation (CV)0.12548623
Kurtosis-0.14200333
Mean31.583333
Median Absolute Deviation (MAD)2.1
Skewness0.46787875
Sum758
Variance15.707536
MonotonicityNot monotonic
2023-12-13T05:18:49.040949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
30.2 2
 
8.3%
31.5 2
 
8.3%
31.7 1
 
4.2%
27.2 1
 
4.2%
38.9 1
 
4.2%
32.5 1
 
4.2%
30.1 1
 
4.2%
29.6 1
 
4.2%
34.3 1
 
4.2%
32.0 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
25.1 1
4.2%
25.4 1
4.2%
26.9 1
4.2%
27.2 1
4.2%
27.9 1
4.2%
28.8 1
4.2%
29.6 1
4.2%
30.1 1
4.2%
30.2 2
8.3%
31.0 1
4.2%
ValueCountFrequency (%)
40.0 1
4.2%
38.9 1
4.2%
37.6 1
4.2%
36.6 1
4.2%
35.1 1
4.2%
34.3 1
4.2%
32.8 1
4.2%
32.5 1
4.2%
32.0 1
4.2%
31.7 1
4.2%

비만율(표준화율)
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.945833
Minimum25.1
Maximum39.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:49.165997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.1
5-th percentile25.54
Q128.15
median30.35
Q332.625
95-th percentile37.535
Maximum39.8
Range14.7
Interquartile range (IQR)4.475

Descriptive statistics

Standard deviation3.8559924
Coefficient of variation (CV)0.12460458
Kurtosis-0.089663106
Mean30.945833
Median Absolute Deviation (MAD)2.35
Skewness0.64691801
Sum742.7
Variance14.868678
MonotonicityNot monotonic
2023-12-13T05:18:49.288615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
30.6 2
 
8.3%
30.3 1
 
4.2%
37.7 1
 
4.2%
31.9 1
 
4.2%
29.7 1
 
4.2%
29.5 1
 
4.2%
34.5 1
 
4.2%
31.0 1
 
4.2%
29.6 1
 
4.2%
26.9 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
25.1 1
4.2%
25.3 1
4.2%
26.9 1
4.2%
27.2 1
4.2%
27.3 1
4.2%
27.7 1
4.2%
28.3 1
4.2%
29.5 1
4.2%
29.6 1
4.2%
29.7 1
4.2%
ValueCountFrequency (%)
39.8 1
4.2%
37.7 1
4.2%
36.6 1
4.2%
35.4 1
4.2%
35.1 1
4.2%
34.5 1
4.2%
32.0 1
4.2%
31.9 1
4.2%
31.0 1
4.2%
30.6 2
8.3%
Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.541667
Minimum21.7
Maximum32.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:49.412785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.7
5-th percentile22.09
Q124.225
median26.4
Q327.825
95-th percentile31.255
Maximum32.5
Range10.8
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation2.9229105
Coefficient of variation (CV)0.11012536
Kurtosis-0.34016628
Mean26.541667
Median Absolute Deviation (MAD)1.8
Skewness0.29346332
Sum637
Variance8.5434058
MonotonicityNot monotonic
2023-12-13T05:18:49.524279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
26.3 2
 
8.3%
23.7 1
 
4.2%
24.3 1
 
4.2%
24.0 1
 
4.2%
25.9 1
 
4.2%
25.8 1
 
4.2%
23.4 1
 
4.2%
22.6 1
 
4.2%
26.2 1
 
4.2%
30.9 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
21.7 1
4.2%
22.0 1
4.2%
22.6 1
4.2%
23.4 1
4.2%
23.7 1
4.2%
24.0 1
4.2%
24.3 1
4.2%
25.8 1
4.2%
25.9 1
4.2%
26.2 1
4.2%
ValueCountFrequency (%)
32.5 1
4.2%
31.3 1
4.2%
31.0 1
4.2%
30.9 1
4.2%
28.6 1
4.2%
27.9 1
4.2%
27.8 1
4.2%
27.6 1
4.2%
27.1 1
4.2%
26.9 1
4.2%
Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.783333
Minimum22.3
Maximum34.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:49.634845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.3
5-th percentile22.925
Q125.3
median27.95
Q329.75
95-th percentile32.185
Maximum34.4
Range12.1
Interquartile range (IQR)4.45

Descriptive statistics

Standard deviation3.1362768
Coefficient of variation (CV)0.11288339
Kurtosis-0.57395572
Mean27.783333
Median Absolute Deviation (MAD)2.3
Skewness0.09292976
Sum666.8
Variance9.8362319
MonotonicityNot monotonic
2023-12-13T05:18:49.758451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
27.1 2
 
8.3%
24.7 1
 
4.2%
24.6 1
 
4.2%
26.0 1
 
4.2%
29.0 1
 
4.2%
28.1 1
 
4.2%
24.5 1
 
4.2%
24.2 1
 
4.2%
25.8 1
 
4.2%
30.4 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
22.3 1
4.2%
22.7 1
4.2%
24.2 1
4.2%
24.5 1
4.2%
24.6 1
4.2%
24.7 1
4.2%
25.5 1
4.2%
25.8 1
4.2%
26.0 1
4.2%
27.1 2
8.3%
ValueCountFrequency (%)
34.4 1
4.2%
32.2 1
4.2%
32.1 1
4.2%
30.5 1
4.2%
30.4 1
4.2%
29.9 1
4.2%
29.7 1
4.2%
29.6 1
4.2%
29.4 1
4.2%
29.2 1
4.2%
Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1875
Minimum3.3
Maximum9.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:49.880703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.315
Q14.575
median5.95
Q37.85
95-th percentile9.67
Maximum9.9
Range6.6
Interquartile range (IQR)3.275

Descriptive statistics

Standard deviation2.1547344
Coefficient of variation (CV)0.34823991
Kurtosis-1.0884126
Mean6.1875
Median Absolute Deviation (MAD)1.65
Skewness0.29416431
Sum148.5
Variance4.6428804
MonotonicityNot monotonic
2023-12-13T05:18:50.000262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3.3 2
 
8.3%
5.1 2
 
8.3%
7.2 1
 
4.2%
5.4 1
 
4.2%
8.0 1
 
4.2%
7.1 1
 
4.2%
9.7 1
 
4.2%
9.9 1
 
4.2%
6.2 1
 
4.2%
9.3 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
3.3 2
8.3%
3.4 1
4.2%
3.5 1
4.2%
3.8 1
4.2%
4.5 1
4.2%
4.6 1
4.2%
4.7 1
4.2%
5.1 2
8.3%
5.4 1
4.2%
5.7 1
4.2%
ValueCountFrequency (%)
9.9 1
4.2%
9.7 1
4.2%
9.5 1
4.2%
9.3 1
4.2%
8.1 1
4.2%
8.0 1
4.2%
7.8 1
4.2%
7.2 1
4.2%
7.1 1
4.2%
6.7 1
4.2%
Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1958333
Minimum3.3
Maximum10.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:50.125930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.315
Q14.5
median6.35
Q38.1
95-th percentile9.735
Maximum10.1
Range6.8
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation2.1308253
Coefficient of variation (CV)0.34391263
Kurtosis-1.0481343
Mean6.1958333
Median Absolute Deviation (MAD)1.75
Skewness0.22321242
Sum148.7
Variance4.5404167
MonotonicityNot monotonic
2023-12-13T05:18:50.311838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8.1 2
 
8.3%
6.5 2
 
8.3%
5.3 2
 
8.3%
3.3 2
 
8.3%
8.2 1
 
4.2%
8.7 1
 
4.2%
6.8 1
 
4.2%
10.1 1
 
4.2%
8.8 1
 
4.2%
6.2 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
3.3 2
8.3%
3.4 1
4.2%
3.5 1
4.2%
3.7 1
4.2%
4.2 1
4.2%
4.6 1
4.2%
4.9 1
4.2%
5.2 1
4.2%
5.3 2
8.3%
6.2 1
4.2%
ValueCountFrequency (%)
10.1 1
4.2%
9.9 1
4.2%
8.8 1
4.2%
8.7 1
4.2%
8.2 1
4.2%
8.1 2
8.3%
7.4 1
4.2%
6.8 1
4.2%
6.7 1
4.2%
6.5 2
8.3%
Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.116667
Minimum22.1
Maximum31.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:50.432788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.1
5-th percentile22.23
Q124.075
median25.85
Q328
95-th percentile29.75
Maximum31.3
Range9.2
Interquartile range (IQR)3.925

Descriptive statistics

Standard deviation2.5540533
Coefficient of variation (CV)0.097794001
Kurtosis-0.81382516
Mean26.116667
Median Absolute Deviation (MAD)2.05
Skewness0.072807023
Sum626.8
Variance6.5231884
MonotonicityNot monotonic
2023-12-13T05:18:50.538692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
28.0 2
 
8.3%
27.5 2
 
8.3%
25.4 2
 
8.3%
24.0 1
 
4.2%
22.2 1
 
4.2%
28.9 1
 
4.2%
26.8 1
 
4.2%
24.1 1
 
4.2%
25.3 1
 
4.2%
28.8 1
 
4.2%
Other values (11) 11
45.8%
ValueCountFrequency (%)
22.1 1
4.2%
22.2 1
4.2%
22.4 1
4.2%
22.9 1
4.2%
23.8 1
4.2%
24.0 1
4.2%
24.1 1
4.2%
24.5 1
4.2%
25.3 1
4.2%
25.4 2
8.3%
ValueCountFrequency (%)
31.3 1
4.2%
29.9 1
4.2%
28.9 1
4.2%
28.8 1
4.2%
28.4 1
4.2%
28.0 2
8.3%
27.9 1
4.2%
27.5 2
8.3%
26.8 1
4.2%
26.1 1
4.2%
Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.804167
Minimum17.2
Maximum22.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:50.634881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.2
5-th percentile17.345
Q118.825
median19.7
Q321.025
95-th percentile22.325
Maximum22.9
Range5.7
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.6042008
Coefficient of variation (CV)0.081003195
Kurtosis-0.74942582
Mean19.804167
Median Absolute Deviation (MAD)1.35
Skewness0.055275351
Sum475.3
Variance2.5734601
MonotonicityNot monotonic
2023-12-13T05:18:50.737137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20.3 3
12.5%
19.3 2
 
8.3%
21.2 2
 
8.3%
19.0 2
 
8.3%
17.6 2
 
8.3%
21.0 2
 
8.3%
18.3 2
 
8.3%
19.4 1
 
4.2%
19.6 1
 
4.2%
19.8 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
17.2 1
 
4.2%
17.3 1
 
4.2%
17.6 2
8.3%
18.3 2
8.3%
19.0 2
8.3%
19.3 2
8.3%
19.4 1
 
4.2%
19.6 1
 
4.2%
19.8 1
 
4.2%
20.3 3
12.5%
ValueCountFrequency (%)
22.9 1
 
4.2%
22.4 1
 
4.2%
21.9 1
 
4.2%
21.2 2
8.3%
21.1 1
 
4.2%
21.0 2
8.3%
20.3 3
12.5%
19.8 1
 
4.2%
19.6 1
 
4.2%
19.4 1
 
4.2%
Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.275
Minimum5.8
Maximum12.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:50.857867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile7.29
Q18.45
median9.1
Q39.975
95-th percentile11.795
Maximum12.2
Range6.4
Interquartile range (IQR)1.525

Descriptive statistics

Standard deviation1.4838991
Coefficient of variation (CV)0.15998912
Kurtosis0.37413305
Mean9.275
Median Absolute Deviation (MAD)0.75
Skewness0.029536476
Sum222.6
Variance2.2019565
MonotonicityNot monotonic
2023-12-13T05:18:50.962533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
8.7 3
12.5%
9.6 3
12.5%
11.2 2
 
8.3%
8.8 2
 
8.3%
10.5 2
 
8.3%
8.3 2
 
8.3%
7.2 1
 
4.2%
9.5 1
 
4.2%
9.8 1
 
4.2%
5.8 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
5.8 1
 
4.2%
7.2 1
 
4.2%
7.8 1
 
4.2%
8.0 1
 
4.2%
8.3 2
8.3%
8.5 1
 
4.2%
8.7 3
12.5%
8.8 2
8.3%
9.4 1
 
4.2%
9.5 1
 
4.2%
ValueCountFrequency (%)
12.2 1
 
4.2%
11.9 1
 
4.2%
11.2 2
8.3%
10.5 2
8.3%
9.8 1
 
4.2%
9.6 3
12.5%
9.5 1
 
4.2%
9.4 1
 
4.2%
8.8 2
8.3%
8.7 3
12.5%
Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.075
Minimum4.8
Maximum8.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:51.103005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.8
5-th percentile5.915
Q16.55
median7.1
Q37.65
95-th percentile8.455
Maximum8.6
Range3.8
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.88428306
Coefficient of variation (CV)0.124987
Kurtosis0.58343454
Mean7.075
Median Absolute Deviation (MAD)0.6
Skewness-0.44577596
Sum169.8
Variance0.78195652
MonotonicityNot monotonic
2023-12-13T05:18:51.240912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
7.1 3
 
12.5%
6.3 2
 
8.3%
7.9 2
 
8.3%
6.6 2
 
8.3%
7.3 2
 
8.3%
8.6 1
 
4.2%
8.2 1
 
4.2%
6.0 1
 
4.2%
7.8 1
 
4.2%
7.5 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
4.8 1
 
4.2%
5.9 1
 
4.2%
6.0 1
 
4.2%
6.3 2
8.3%
6.4 1
 
4.2%
6.6 2
8.3%
6.8 1
 
4.2%
7.0 1
 
4.2%
7.1 3
12.5%
7.2 1
 
4.2%
ValueCountFrequency (%)
8.6 1
 
4.2%
8.5 1
 
4.2%
8.2 1
 
4.2%
7.9 2
8.3%
7.8 1
 
4.2%
7.6 1
 
4.2%
7.5 1
 
4.2%
7.3 2
8.3%
7.2 1
 
4.2%
7.1 3
12.5%
Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.766667
Minimum14.2
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:51.369823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.2
5-th percentile19.73
Q121.225
median22.5
Q326.25
95-th percentile30.585
Maximum31
Range16.8
Interquartile range (IQR)5.025

Descriptive statistics

Standard deviation4.2342975
Coefficient of variation (CV)0.17816119
Kurtosis-0.14401411
Mean23.766667
Median Absolute Deviation (MAD)2.15
Skewness0.20050344
Sum570.4
Variance17.929275
MonotonicityNot monotonic
2023-12-13T05:18:51.527225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
22.2 2
 
8.3%
25.2 1
 
4.2%
21.3 1
 
4.2%
19.7 1
 
4.2%
29.2 1
 
4.2%
28.8 1
 
4.2%
29.3 1
 
4.2%
21.8 1
 
4.2%
22.0 1
 
4.2%
20.1 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
14.2 1
4.2%
19.7 1
4.2%
19.9 1
4.2%
20.1 1
4.2%
20.6 1
4.2%
21.0 1
4.2%
21.3 1
4.2%
21.8 1
4.2%
21.9 1
4.2%
22.0 1
4.2%
ValueCountFrequency (%)
31.0 1
4.2%
30.6 1
4.2%
30.5 1
4.2%
29.3 1
4.2%
29.2 1
4.2%
28.8 1
4.2%
25.4 1
4.2%
25.2 1
4.2%
24.4 1
4.2%
23.4 1
4.2%
Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.295833
Minimum14.7
Maximum29.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T05:18:51.655351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.7
5-th percentile17.39
Q119.85
median21.9
Q325.1
95-th percentile28.485
Maximum29.8
Range15.1
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation3.9470935
Coefficient of variation (CV)0.17703279
Kurtosis-0.64338448
Mean22.295833
Median Absolute Deviation (MAD)2.7
Skewness0.19114593
Sum535.1
Variance15.579547
MonotonicityNot monotonic
2023-12-13T05:18:52.154817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
22.2 1
 
4.2%
14.7 1
 
4.2%
20.0 1
 
4.2%
17.3 1
 
4.2%
26.8 1
 
4.2%
26.0 1
 
4.2%
26.1 1
 
4.2%
20.1 1
 
4.2%
19.4 1
 
4.2%
18.2 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
14.7 1
4.2%
17.3 1
4.2%
17.9 1
4.2%
18.0 1
4.2%
18.2 1
4.2%
19.4 1
4.2%
20.0 1
4.2%
20.1 1
4.2%
20.3 1
4.2%
20.5 1
4.2%
ValueCountFrequency (%)
29.8 1
4.2%
28.5 1
4.2%
28.4 1
4.2%
26.8 1
4.2%
26.1 1
4.2%
26.0 1
4.2%
24.8 1
4.2%
23.8 1
4.2%
23.5 1
4.2%
23.4 1
4.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-09-30 00:00:00
Maximum2018-09-30 00:00:00
2023-12-13T05:18:52.285375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:18:52.404904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시군구해당연도현재흡연율(조율)현재흡연율(표준화율)남자 현재흡연율(조율)남자 현재흡연율(표준화율)월간음주율(조율)월간음주율(표준화율)고위험음주율(조율)고위험음주율(표준화율)비만율(조율)비만율(표준화율)스트레스 인지율(조율)스트레스 인지율(표준화율)우울감 경험률(조율)우울감 경험률(표준화율)고혈압 진단 경험률(조율)고혈압 진단 경험률(표준화율)당뇨병 진단 경험률(조율)당뇨병 진단 경험률(표준화율)관절염 진단 경험률(조율)관절염 진단 경험률(표준화율)데이터기준일자
0서귀포시 서귀포201425.427.247.450.659.863.520.219.731.730.623.724.77.27.424.019.38.77.122.222.22018-09-30
1서귀포시 서귀포201521.722.640.743.154.157.619.818.731.530.327.629.24.64.626.121.18.36.622.221.62018-09-30
2서귀포시 서귀포201621.422.040.642.152.156.022.921.331.130.426.727.83.43.523.818.38.76.825.224.82018-09-30
3서귀포시 서귀포201723.424.742.244.659.262.919.719.731.030.226.929.66.66.527.922.49.67.630.629.82018-09-30
4서귀포시 동부201423.826.043.848.853.959.723.421.535.135.127.829.73.83.728.021.08.56.330.528.42018-09-30
5서귀포시 동부201525.227.246.751.152.860.029.127.236.635.428.630.55.76.528.419.411.27.925.423.52018-09-30
6서귀포시 동부201624.427.144.451.152.561.023.821.740.039.827.929.94.54.227.519.69.67.224.423.12018-09-30
7서귀포시 동부201725.127.845.952.354.361.825.022.037.636.627.129.43.33.429.919.812.28.531.028.52018-09-30
8서귀포시 서부201425.727.049.052.649.958.220.117.225.125.126.525.59.59.925.417.68.85.923.420.32018-09-30
9서귀포시 서부201522.522.541.942.354.460.922.020.428.827.732.534.44.75.328.021.29.47.020.617.92018-09-30
시군구해당연도현재흡연율(조율)현재흡연율(표준화율)남자 현재흡연율(조율)남자 현재흡연율(표준화율)월간음주율(조율)월간음주율(표준화율)고위험음주율(조율)고위험음주율(표준화율)비만율(조율)비만율(표준화율)스트레스 인지율(조율)스트레스 인지율(표준화율)우울감 경험률(조율)우울감 경험률(표준화율)고혈압 진단 경험률(조율)고혈압 진단 경험률(표준화율)당뇨병 진단 경험률(조율)당뇨병 진단 경험률(표준화율)관절염 진단 경험률(조율)관절염 진단 경험률(표준화율)데이터기준일자
14제주시 제주201627.028.149.751.362.964.323.223.025.425.331.032.27.88.122.120.37.26.622.823.82018-09-30
15제주시 제주201720.721.738.740.561.563.516.315.726.926.922.022.76.76.722.219.05.84.819.920.72018-09-30
16제주시 동부201425.926.548.250.256.162.820.919.930.229.630.930.49.38.227.520.38.86.320.118.22018-09-30
17제주시 동부201521.7722.339.942.352.558.626.523.932.031.026.325.85.15.225.617.311.27.922.019.42018-09-30
18제주시 동부201624.325.546.950.454.160.620.117.834.334.526.227.15.14.931.322.99.67.321.820.12018-09-30
19제주시 동부201721.221.438.939.750.156.121.019.731.530.622.624.26.26.228.820.310.57.529.326.12018-09-30
20제주시 서부201427.227.349.950.954.961.426.625.129.629.523.424.59.98.825.319.09.87.128.826.02018-09-30
21제주시 서부201522.123.940.544.850.156.422.321.030.129.725.828.19.710.124.118.39.57.829.226.82018-09-30
22제주시 서부201623.825.142.546.252.558.619.817.232.531.925.929.07.16.826.819.38.36.019.717.32018-09-30
23제주시 서부201724.926.643.848.056.662.824.022.438.937.724.026.08.08.728.921.210.58.221.320.02018-09-30