Overview

Dataset statistics

Number of variables24
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.9 KiB
Average record size in memory214.3 B

Variable types

Numeric17
Categorical7

Alerts

pm2.5 값 has unique valuesUnique
pm10 값 has unique valuesUnique
온도 값 has unique valuesUnique
습도 값 has unique valuesUnique
의료기관/제약업종 업체수 has 9 (9.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:25:20.980681
Analysis finished2023-12-10 11:25:21.158663
Duration0.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계구코드
Real number (ℝ)

Distinct25
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2010557 × 1012
Minimum2.201054 × 1012
Maximum2.201059 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:21.214938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.201054 × 1012
5-th percentile2.201054 × 1012
Q12.201054 × 1012
median2.201056 × 1012
Q32.201056 × 1012
95-th percentile2.201059 × 1012
Maximum2.201059 × 1012
Range5010001
Interquartile range (IQR)2000000

Descriptive statistics

Standard deviation1773931.2
Coefficient of variation (CV)8.0594561 × 10-7
Kurtosis-0.44635265
Mean2.2010557 × 1012
Median Absolute Deviation (MAD)1979998
Skewness0.82235274
Sum2.2010557 × 1014
Variance3.1468317 × 1012
MonotonicityIncreasing
2023-12-10T20:25:21.327449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2201054020001 5
 
5.0%
2201054020003 5
 
5.0%
2201059020001 5
 
5.0%
2201056040001 5
 
5.0%
2201056030002 5
 
5.0%
2201056030001 5
 
5.0%
2201054010001 4
 
4.0%
2201059020002 4
 
4.0%
2201059010002 4
 
4.0%
2201059010001 4
 
4.0%
Other values (15) 54
54.0%
ValueCountFrequency (%)
2201054010001 4
4.0%
2201054020001 5
5.0%
2201054020002 4
4.0%
2201054020003 5
5.0%
2201054030001 4
4.0%
2201054030002 4
4.0%
2201054030003 4
4.0%
2201054030004 4
4.0%
2201054030005 2
 
2.0%
2201054030006 4
4.0%
ValueCountFrequency (%)
2201059020002 4
4.0%
2201059020001 5
5.0%
2201059010002 4
4.0%
2201059010001 4
4.0%
2201056040001 5
5.0%
2201056030101 1
 
1.0%
2201056030002 5
5.0%
2201056030001 5
5.0%
2201056020001 4
4.0%
2201056010201 4
4.0%

등록날짜
Categorical

Distinct30
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2019-03-17
 
5
2019-03-29
 
5
2019-03-22
 
5
2019-03-15
 
5
2019-03-01
 
5
Other values (25)
75 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row2019-03-26
2nd row2019-03-05
3rd row2019-03-19
4th row2019-03-12
5th row2019-03-08

Common Values

ValueCountFrequency (%)
2019-03-17 5
 
5.0%
2019-03-29 5
 
5.0%
2019-03-22 5
 
5.0%
2019-03-15 5
 
5.0%
2019-03-01 5
 
5.0%
2019-03-24 5
 
5.0%
2019-03-08 5
 
5.0%
2019-03-21 4
 
4.0%
2019-03-10 4
 
4.0%
2019-03-07 4
 
4.0%
Other values (20) 53
53.0%

Length

2023-12-10T20:25:21.464060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-03-17 5
 
5.0%
2019-03-22 5
 
5.0%
2019-03-15 5
 
5.0%
2019-03-01 5
 
5.0%
2019-03-24 5
 
5.0%
2019-03-08 5
 
5.0%
2019-03-29 5
 
5.0%
2019-03-28 4
 
4.0%
2019-03-03 4
 
4.0%
2019-03-14 4
 
4.0%
Other values (20) 53
53.0%
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
83 
2
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 83
83.0%
2 17
 
17.0%

Length

2023-12-10T20:25:21.585237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:25:21.683044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 83
83.0%
2 17
 
17.0%

승인시간대
Real number (ℝ)

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1438.9
Minimum6
Maximum2124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:21.778820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile611
Q11341.25
median1417
Q31721
95-th percentile2124
Maximum2124
Range2118
Interquartile range (IQR)379.75

Descriptive statistics

Standard deviation531.41647
Coefficient of variation (CV)0.36932134
Kurtosis0.5107164
Mean1438.9
Median Absolute Deviation (MAD)304
Skewness-0.93260316
Sum143890
Variance282403.46
MonotonicityNot monotonic
2023-12-10T20:25:21.888013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1721 31
31.0%
1417 28
28.0%
2124 16
16.0%
611 13
13.0%
1114 8
 
8.0%
6 4
 
4.0%
ValueCountFrequency (%)
6 4
 
4.0%
611 13
13.0%
1114 8
 
8.0%
1417 28
28.0%
1721 31
31.0%
2124 16
16.0%
ValueCountFrequency (%)
2124 16
16.0%
1721 31
31.0%
1417 28
28.0%
1114 8
 
8.0%
611 13
13.0%
6 4
 
4.0%

성별구분
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
02.여성
47 
01.남성
36 
03.기업
17 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02.여성
2nd row02.여성
3rd row02.여성
4th row02.여성
5th row03.기업

Common Values

ValueCountFrequency (%)
02.여성 47
47.0%
01.남성 36
36.0%
03.기업 17
 
17.0%

Length

2023-12-10T20:25:22.004028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:25:22.126449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02.여성 47
47.0%
01.남성 36
36.0%
03.기업 17
 
17.0%

연령대구분
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20대
45 
30대
23 
기타
17 
60대이상
50대
 
4

Length

Max length5
Median length3
Mean length2.99
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20대
2nd row20대
3rd row20대
4th row20대
5th row기타

Common Values

ValueCountFrequency (%)
20대 45
45.0%
30대 23
23.0%
기타 17
 
17.0%
60대이상 8
 
8.0%
50대 4
 
4.0%
40대 3
 
3.0%

Length

2023-12-10T20:25:22.241829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:25:22.361081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 45
45.0%
30대 23
23.0%
기타 17
 
17.0%
60대이상 8
 
8.0%
50대 4
 
4.0%
40대 3
 
3.0%

매출합계
Real number (ℝ)

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84569.7
Minimum13500
Maximum1075000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:22.486581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13500
5-th percentile15000
Q125600
median34470
Q366000
95-th percentile341390.5
Maximum1075000
Range1061500
Interquartile range (IQR)40400

Descriptive statistics

Standard deviation146275.91
Coefficient of variation (CV)1.7296491
Kurtosis22.191966
Mean84569.7
Median Absolute Deviation (MAD)11870
Skewness4.2001819
Sum8456970
Variance2.1396641 × 1010
MonotonicityNot monotonic
2023-12-10T20:25:22.637176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
42000 8
 
8.0%
27900 5
 
5.0%
34450 5
 
5.0%
64840 5
 
5.0%
25600 5
 
5.0%
36000 5
 
5.0%
24000 5
 
5.0%
482000 4
 
4.0%
22600 4
 
4.0%
34470 4
 
4.0%
Other values (14) 50
50.0%
ValueCountFrequency (%)
13500 4
4.0%
15000 4
4.0%
16420 4
4.0%
22600 4
4.0%
24000 5
5.0%
24900 3
3.0%
25600 5
5.0%
26500 4
4.0%
27900 5
5.0%
29900 4
4.0%
ValueCountFrequency (%)
1075000 1
 
1.0%
482000 4
4.0%
333990 4
4.0%
192000 2
 
2.0%
144500 4
4.0%
74600 4
4.0%
69500 4
4.0%
66000 4
4.0%
64840 5
5.0%
51850 4
4.0%

매출건수
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.21
Minimum3
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:22.757591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median4
Q36
95-th percentile11
Maximum14
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7608189
Coefficient of variation (CV)0.52990767
Kurtosis2.4948273
Mean5.21
Median Absolute Deviation (MAD)1
Skewness1.6431467
Sum521
Variance7.6221212
MonotonicityNot monotonic
2023-12-10T20:25:22.876326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 37
37.0%
4 18
18.0%
6 13
 
13.0%
7 12
 
12.0%
5 8
 
8.0%
14 4
 
4.0%
9 4
 
4.0%
11 4
 
4.0%
ValueCountFrequency (%)
3 37
37.0%
4 18
18.0%
5 8
 
8.0%
6 13
 
13.0%
7 12
 
12.0%
9 4
 
4.0%
11 4
 
4.0%
14 4
 
4.0%
ValueCountFrequency (%)
14 4
 
4.0%
11 4
 
4.0%
9 4
 
4.0%
7 12
 
12.0%
6 13
 
13.0%
5 8
 
8.0%
4 18
18.0%
3 37
37.0%

회원수
Real number (ℝ)

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.59
Minimum3
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:23.004220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median4
Q36
95-th percentile7
Maximum14
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3659837
Coefficient of variation (CV)0.51546485
Kurtosis7.8549891
Mean4.59
Median Absolute Deviation (MAD)1
Skewness2.5631097
Sum459
Variance5.5978788
MonotonicityNot monotonic
2023-12-10T20:25:23.128756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 46
46.0%
6 18
 
18.0%
4 17
 
17.0%
5 8
 
8.0%
7 7
 
7.0%
14 4
 
4.0%
ValueCountFrequency (%)
3 46
46.0%
4 17
 
17.0%
5 8
 
8.0%
6 18
 
18.0%
7 7
 
7.0%
14 4
 
4.0%
ValueCountFrequency (%)
14 4
 
4.0%
7 7
 
7.0%
6 18
 
18.0%
5 8
 
8.0%
4 17
 
17.0%
3 46
46.0%

의료기관/제약업종 업체수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.45
Minimum0
Maximum111
Zeros9
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:23.276925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q318
95-th percentile87
Maximum111
Range111
Interquartile range (IQR)16

Descriptive statistics

Standard deviation27.200852
Coefficient of variation (CV)1.5587881
Kurtosis5.2729767
Mean17.45
Median Absolute Deviation (MAD)7
Skewness2.464564
Sum1745
Variance739.88636
MonotonicityNot monotonic
2023-12-10T20:25:23.392412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
14 17
17.0%
1 11
11.0%
0 9
 
9.0%
3 8
 
8.0%
2 6
 
6.0%
9 5
 
5.0%
87 5
 
5.0%
4 5
 
5.0%
27 5
 
5.0%
5 5
 
5.0%
Other values (6) 24
24.0%
ValueCountFrequency (%)
0 9
9.0%
1 11
11.0%
2 6
 
6.0%
3 8
8.0%
4 5
 
5.0%
5 5
 
5.0%
6 4
 
4.0%
7 4
 
4.0%
9 5
 
5.0%
14 17
17.0%
ValueCountFrequency (%)
111 4
 
4.0%
87 5
 
5.0%
37 4
 
4.0%
27 5
 
5.0%
21 4
 
4.0%
18 4
 
4.0%
14 17
17.0%
9 5
 
5.0%
7 4
 
4.0%
6 4
 
4.0%

아황산가스 값
Real number (ℝ)

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0040571463
Minimum0.00275
Maximum0.006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:23.525625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.00275
5-th percentile0.0036239087
Q10.0038902263
median0.004
Q30.004137987
95-th percentile0.0045083333
Maximum0.006
Range0.00325
Interquartile range (IQR)0.00024776073

Descriptive statistics

Standard deviation0.00043353533
Coefficient of variation (CV)0.10685721
Kurtosis9.7230092
Mean0.0040571463
Median Absolute Deviation (MAD)0.0001225
Skewness2.2185024
Sum0.40571463
Variance1.8795288 × 10-7
MonotonicityNot monotonic
2023-12-10T20:25:23.682015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.004 4
 
4.0%
0.0045 2
 
2.0%
0.0039166666666666 2
 
2.0%
0.00425 2
 
2.0%
0.006 2
 
2.0%
0.0039628865979381 1
 
1.0%
0.0040343347639484 1
 
1.0%
0.0038901734104046 1
 
1.0%
0.00402 1
 
1.0%
0.0041834862385321 1
 
1.0%
Other values (83) 83
83.0%
ValueCountFrequency (%)
0.00275 1
1.0%
0.0031428571428571 1
1.0%
0.0034705882352941 1
1.0%
0.0035 1
1.0%
0.0036031746031746 1
1.0%
0.003625 1
1.0%
0.0036296296296296 1
1.0%
0.0036666666666666 1
1.0%
0.0037058823529411 1
1.0%
0.0037272727272727 1
1.0%
ValueCountFrequency (%)
0.006 2
2.0%
0.0056666666666666 1
1.0%
0.0053333333333333 1
1.0%
0.0046666666666666 1
1.0%
0.0045 2
2.0%
0.0044473684210526 1
1.0%
0.0043939393939393 1
1.0%
0.00435 1
1.0%
0.0043125 1
1.0%
0.0043090909090909 1
1.0%

이산화질소 값
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013971393
Minimum0.013
Maximum0.015666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:23.919726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.013
5-th percentile0.013493605
Q10.013835668
median0.013950111
Q30.014069802
95-th percentile0.014427083
Maximum0.015666667
Range0.0026666667
Interquartile range (IQR)0.00023413401

Descriptive statistics

Standard deviation0.00034353494
Coefficient of variation (CV)0.024588453
Kurtosis7.4546972
Mean0.013971393
Median Absolute Deviation (MAD)0.00011655521
Skewness1.475358
Sum1.3971393
Variance1.1801625 × 10-7
MonotonicityNot monotonic
2023-12-10T20:25:24.072738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0140666666666666 2
 
2.0%
0.0139999999999999 2
 
2.0%
0.0139195876288659 1
 
1.0%
0.013917735042735 1
 
1.0%
0.0137522935779816 1
 
1.0%
0.0139166666666666 1
 
1.0%
0.0138709677419354 1
 
1.0%
0.0139074074074074 1
 
1.0%
0.01384375 1
 
1.0%
0.0138496240601503 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
0.013 1
1.0%
0.0131944444444444 1
1.0%
0.0133333333333333 1
1.0%
0.0133636363636363 1
1.0%
0.0133720930232558 1
1.0%
0.0134999999999999 1
1.0%
0.0135 1
1.0%
0.0135714285714285 1
1.0%
0.0136 1
1.0%
0.013625 1
1.0%
ValueCountFrequency (%)
0.0156666666666666 1
1.0%
0.01525 1
1.0%
0.0147142857142857 1
1.0%
0.0146666666666666 1
1.0%
0.0146249999999999 1
1.0%
0.0144166666666666 1
1.0%
0.014375 1
1.0%
0.0143749999999999 1
1.0%
0.0143333333333333 1
1.0%
0.0143235294117647 1
1.0%

일산화탄소 값
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24780617
Minimum0
Maximum2.3238532
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:24.207239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.11407368
Q10.2
median0.23477273
Q30.26737217
95-th percentile0.29109375
Maximum2.3238532
Range2.3238532
Interquartile range (IQR)0.067372165

Descriptive statistics

Standard deviation0.21976618
Coefficient of variation (CV)0.88684707
Kurtosis82.45853
Mean0.24780617
Median Absolute Deviation (MAD)0.034772727
Skewness8.6740938
Sum24.780617
Variance0.048297172
MonotonicityNot monotonic
2023-12-10T20:25:24.338196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.15 3
 
3.0%
0.2 3
 
3.0%
0.3 2
 
2.0%
0.2291666666666666 2
 
2.0%
0.1470103092783499 1
 
1.0%
2.323853211009174 1
 
1.0%
0.1878612716763 1
 
1.0%
0.188 1
 
1.0%
0.2412844036697248 1
 
1.0%
0.1999999999999998 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
0.0 1
1.0%
0.05 1
1.0%
0.075 1
1.0%
0.1 1
1.0%
0.1020618556701031 1
1.0%
0.1147058823529412 1
1.0%
0.1372881355932203 1
1.0%
0.1470103092783499 1
1.0%
0.1473684210526316 1
1.0%
0.1484848484848485 1
1.0%
ValueCountFrequency (%)
2.323853211009174 1
1.0%
0.5647999999999997 1
1.0%
0.3151515151515152 1
1.0%
0.3 2
2.0%
0.290625 1
1.0%
0.2880952380952384 1
1.0%
0.2861111111111111 1
1.0%
0.2857142857142857 1
1.0%
0.2846026490066244 1
1.0%
0.2827272727272729 1
1.0%

pm2.5 값
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.600523
Minimum0
Maximum150.15625
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:24.491599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.525905
Q121.86411
median34.637249
Q353.144242
95-th percentile96.578016
Maximum150.15625
Range150.15625
Interquartile range (IQR)31.280132

Descriptive statistics

Standard deviation26.250792
Coefficient of variation (CV)0.6465629
Kurtosis2.4778734
Mean40.600523
Median Absolute Deviation (MAD)15.776786
Skewness1.3530058
Sum4060.0523
Variance689.10407
MonotonicityNot monotonic
2023-12-10T20:25:24.675231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.315352697095435 1
 
1.0%
10.53183023872679 1
 
1.0%
12.868804664723031 1
 
1.0%
22.585365853658537 1
 
1.0%
28.357798165137616 1
 
1.0%
55.407407407407405 1
 
1.0%
46.70967741935484 1
 
1.0%
56.0 1
 
1.0%
150.15625 1
 
1.0%
26.08270676691729 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
0.0 1
1.0%
6.666666666666667 1
1.0%
9.579881656804734 1
1.0%
10.0625 1
1.0%
10.413333333333334 1
1.0%
10.53183023872679 1
1.0%
10.606060606060606 1
1.0%
10.77962577962578 1
1.0%
12.868804664723031 1
1.0%
12.88888888888889 1
1.0%
ValueCountFrequency (%)
150.15625 1
1.0%
106.48148148148148 1
1.0%
104.21086261980832 1
1.0%
100.15151515151516 1
1.0%
97.20905923344948 1
1.0%
96.54480286738352 1
1.0%
88.26530612244898 1
1.0%
82.92413793103448 1
1.0%
76.89506172839506 1
1.0%
76.85714285714286 1
1.0%

pm10 값
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.682665
Minimum1
Maximum186.875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:24.829499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.515095
Q123.962121
median39.299172
Q359.291375
95-th percentile112.20218
Maximum186.875
Range185.875
Interquartile range (IQR)35.329254

Descriptive statistics

Standard deviation31.548213
Coefficient of variation (CV)0.67580146
Kurtosis3.4976241
Mean46.682665
Median Absolute Deviation (MAD)16.49812
Skewness1.5937408
Sum4668.2665
Variance995.28975
MonotonicityNot monotonic
2023-12-10T20:25:24.971437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.14107883817427 1
 
1.0%
12.52185430463576 1
 
1.0%
14.623906705539358 1
 
1.0%
25.804878048780488 1
 
1.0%
31.15596330275229 1
 
1.0%
63.82716049382716 1
 
1.0%
53.0 1
 
1.0%
51.93877551020408 1
 
1.0%
186.875 1
 
1.0%
29.112781954887215 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1.0 1
1.0%
10.0 1
1.0%
11.674556213017752 1
1.0%
12.3375 1
1.0%
12.386666666666668 1
1.0%
12.52185430463576 1
1.0%
13.305613305613306 1
1.0%
13.333333333333334 1
1.0%
14.623906705539358 1
1.0%
15.2 1
1.0%
ValueCountFrequency (%)
186.875 1
1.0%
130.35806451612902 1
1.0%
125.62962962962963 1
1.0%
119.82042253521126 1
1.0%
114.54545454545456 1
1.0%
112.078853046595 1
1.0%
105.08163265306122 1
1.0%
94.69753086419752 1
1.0%
94.43448275862067 1
1.0%
92.5813953488372 1
1.0%
Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.249262
Minimum0.6
Maximum11.508842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:25.124415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile0.64217803
Q10.76581197
median0.94143482
Q31.2423407
95-th percentile2.7556154
Maximum11.508842
Range10.908842
Interquartile range (IQR)0.47652872

Descriptive statistics

Standard deviation1.2127254
Coefficient of variation (CV)0.97075344
Kurtosis52.602254
Mean1.249262
Median Absolute Deviation (MAD)0.21926694
Skewness6.5365876
Sum124.9262
Variance1.4707028
MonotonicityNot monotonic
2023-12-10T20:25:25.273772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 4
 
4.0%
1.0395876288659796 1
 
1.0%
1.4704069050554809 1
 
1.0%
0.8600000000000009 1
 
1.0%
0.7990825688073396 1
 
1.0%
1.022619047619048 1
 
1.0%
1.2000000000000004 1
 
1.0%
2.5499999999999994 1
 
1.0%
0.978125 1
 
1.0%
0.7992481203007502 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.6 4
4.0%
0.6375 1
 
1.0%
0.6424242424242426 1
 
1.0%
0.6445205479452046 1
 
1.0%
0.6525423728813563 1
 
1.0%
0.661904761904762 1
 
1.0%
0.6666666666666676 1
 
1.0%
0.6694444444444447 1
 
1.0%
0.6777777777777777 1
 
1.0%
0.6860465116279073 1
 
1.0%
ValueCountFrequency (%)
11.50884244372993 1
1.0%
4.34556213017752 1
1.0%
3.54 1
1.0%
2.923076923076929 1
1.0%
2.76 1
1.0%
2.755384615384627 1
1.0%
2.5499999999999994 1
1.0%
2.029957805907181 1
1.0%
2.0090909090909084 1
1.0%
1.945833333333332 1
1.0%

온도 값
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.096137
Minimum13.2
Maximum33.433333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:25.748444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.2
5-th percentile16.423929
Q119.324838
median21.574277
Q324.967877
95-th percentile29.022295
Maximum33.433333
Range20.233333
Interquartile range (IQR)5.6430393

Descriptive statistics

Standard deviation4.0572911
Coefficient of variation (CV)0.18361992
Kurtosis0.15652193
Mean22.096137
Median Absolute Deviation (MAD)2.4889632
Skewness0.42430952
Sum2209.6137
Variance16.461611
MonotonicityNot monotonic
2023-12-10T20:25:25.904464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.647422680412376 1
 
1.0%
21.601972872996274 1
 
1.0%
18.57687861271673 1
 
1.0%
16.901999999999997 1
 
1.0%
28.81376146788991 1
 
1.0%
25.64642857142856 1
 
1.0%
18.69677419354839 1
 
1.0%
23.377777777777784 1
 
1.0%
13.99375 1
 
1.0%
18.51052631578948 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
13.199999999999998 1
1.0%
13.854545454545448 1
1.0%
13.99375 1
1.0%
15.05 1
1.0%
16.20000000000001 1
1.0%
16.435714285714287 1
1.0%
16.736909090909105 1
1.0%
16.844444444444445 1
1.0%
16.901999999999997 1
1.0%
16.906818181818185 1
1.0%
ValueCountFrequency (%)
33.43333333333333 1
1.0%
32.900000000000006 1
1.0%
30.817467248908283 1
1.0%
30.20000000000001 1
1.0%
29.55 1
1.0%
28.9945205479452 1
1.0%
28.81376146788991 1
1.0%
28.7 1
1.0%
28.27218934911243 1
1.0%
27.70967741935484 1
1.0%

습도 값
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.950533
Minimum8
Maximum49.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:26.095592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12.925
Q122.944367
median26.368324
Q331.147084
95-th percentile40.606421
Maximum49.5
Range41.5
Interquartile range (IQR)8.2027169

Descriptive statistics

Standard deviation7.7625511
Coefficient of variation (CV)0.28802959
Kurtosis0.49593931
Mean26.950533
Median Absolute Deviation (MAD)4.1238373
Skewness0.088245566
Sum2695.0533
Variance60.2572
MonotonicityNot monotonic
2023-12-10T20:25:26.243767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.02268041237113 1
 
1.0%
19.090012330456226 1
 
1.0%
23.85549132947977 1
 
1.0%
32.24 1
 
1.0%
24.568807339449545 1
 
1.0%
30.77380952380953 1
 
1.0%
28.967741935483872 1
 
1.0%
35.27777777777778 1
 
1.0%
35.875 1
 
1.0%
31.706766917293237 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
8.0 1
1.0%
10.033898305084746 1
1.0%
11.25 1
1.0%
11.333333333333334 1
1.0%
11.5 1
1.0%
13.0 1
1.0%
13.846153846153848 1
1.0%
14.0 1
1.0%
16.0 1
1.0%
16.938864628820962 1
1.0%
ValueCountFrequency (%)
49.5 1
1.0%
44.91743119266055 1
1.0%
42.84549356223176 1
1.0%
41.39393939393939 1
1.0%
40.96969696969697 1
1.0%
40.58730158730159 1
1.0%
40.20645161290322 1
1.0%
39.0 1
1.0%
38.20331950207469 1
1.0%
37.9 1
1.0%

대기압 값
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101348.7
Minimum101331.5
Maximum101371.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:26.390454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101331.5
5-th percentile101339.12
Q1101345.25
median101348.69
Q3101351.54
95-th percentile101358.99
Maximum101371.25
Range39.75
Interquartile range (IQR)6.297225

Descriptive statistics

Standard deviation6.5288967
Coefficient of variation (CV)6.4420131 × 10-5
Kurtosis2.2904333
Mean101348.7
Median Absolute Deviation (MAD)3.01015
Skewness0.45768639
Sum10134870
Variance42.626493
MonotonicityNot monotonic
2023-12-10T20:25:26.577123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101344.0 2
 
2.0%
101348.6392 1
 
1.0%
101350.8365 1
 
1.0%
101346.4566 1
 
1.0%
101350.7431 1
 
1.0%
101351.0714 1
 
1.0%
101337.5484 1
 
1.0%
101346.1852 1
 
1.0%
101349.6563 1
 
1.0%
101345.4812 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
101331.5 1
1.0%
101332.4 1
1.0%
101333.5714 1
1.0%
101336.1111 1
1.0%
101337.5484 1
1.0%
101339.2 1
1.0%
101339.5 1
1.0%
101339.5714 1
1.0%
101341.0 1
1.0%
101341.125 1
1.0%
ValueCountFrequency (%)
101371.25 1
1.0%
101370.0 1
1.0%
101364.3704 1
1.0%
101362.5 1
1.0%
101360.0 1
1.0%
101358.9375 1
1.0%
101358.2959 1
1.0%
101357.1053 1
1.0%
101357.0545 1
1.0%
101356.6667 1
1.0%

초미세먼지 지수
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.15
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:26.699237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9507833
Coefficient of variation (CV)0.37879288
Kurtosis-0.84961019
Mean5.15
Median Absolute Deviation (MAD)2
Skewness-0.41495521
Sum515
Variance3.8055556
MonotonicityNot monotonic
2023-12-10T20:25:26.811066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 21
21.0%
7 19
19.0%
6 19
19.0%
2 14
14.0%
8 10
10.0%
4 8
 
8.0%
3 7
 
7.0%
1 2
 
2.0%
ValueCountFrequency (%)
1 2
 
2.0%
2 14
14.0%
3 7
 
7.0%
4 8
 
8.0%
5 21
21.0%
6 19
19.0%
7 19
19.0%
8 10
10.0%
ValueCountFrequency (%)
8 10
10.0%
7 19
19.0%
6 19
19.0%
5 21
21.0%
4 8
 
8.0%
3 7
 
7.0%
2 14
14.0%
1 2
 
2.0%

미세먼지 지수
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.59
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:25:26.923908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7984
Coefficient of variation (CV)0.50094706
Kurtosis-0.82034509
Mean3.59
Median Absolute Deviation (MAD)1
Skewness0.37164794
Sum359
Variance3.2342424
MonotonicityNot monotonic
2023-12-10T20:25:27.052556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 24
24.0%
3 18
18.0%
5 18
18.0%
4 13
13.0%
1 11
11.0%
6 9
 
9.0%
7 6
 
6.0%
8 1
 
1.0%
ValueCountFrequency (%)
1 11
11.0%
2 24
24.0%
3 18
18.0%
4 13
13.0%
5 18
18.0%
6 9
 
9.0%
7 6
 
6.0%
8 1
 
1.0%
ValueCountFrequency (%)
8 1
 
1.0%
7 6
 
6.0%
6 9
 
9.0%
5 18
18.0%
4 13
13.0%
3 18
18.0%
2 24
24.0%
1 11
11.0%
Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2
64 
3
21 
4
14 
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row2

Common Values

ValueCountFrequency (%)
2 64
64.0%
3 21
 
21.0%
4 14
 
14.0%
6 1
 
1.0%

Length

2023-12-10T20:25:27.192920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:25:27.317658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 64
64.0%
3 21
 
21.0%
4 14
 
14.0%
6 1
 
1.0%
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
55 
2
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 55
55.0%
2 45
45.0%

Length

2023-12-10T20:25:27.463379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:25:27.551071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 55
55.0%
2 45
45.0%

통합 인덱스
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
4
37 
3
30 
2
22 
5
10 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row4
2nd row5
3rd row4
4th row2
5th row4

Common Values

ValueCountFrequency (%)
4 37
37.0%
3 30
30.0%
2 22
22.0%
5 10
 
10.0%
1 1
 
1.0%

Length

2023-12-10T20:25:27.639604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:25:27.744668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 37
37.0%
3 30
30.0%
2 22
22.0%
5 10
 
10.0%
1 1
 
1.0%

Sample

집계구코드등록날짜개인기업구분코드승인시간대성별구분연령대구분매출합계매출건수회원수의료기관/제약업종 업체수아황산가스 값이산화질소 값일산화탄소 값pm2.5 값pm10 값휘발성유기화합물 값온도 값습도 값대기압 값초미세먼지 지수미세먼지 지수매출합계 지수매출건수 지수통합 인덱스
022010540100012019-03-261212402.여성20대4820001414370.0039630.013920.1470132.31535340.1410791.03958819.64742330.02268101348.639253424
122010540100012019-03-051212402.여성20대4820001414370.0039080.0139520.27036254.26927667.25860.99288221.77502926.164127101350.200775425
222010540100012019-03-191212402.여성20대4820001414370.003990.0139690.28460339.32274245.3344481.19023225.18990122.958609101348.652364424
322010540100012019-03-121212402.여성20대4820001414370.0038260.0138860.25580910.77962613.3056130.83796720.19315438.20332101349.508321422
422010540200012019-03-082141703.기업기타240006690.0042890.0140670.2655.061.9318180.90222222.02666726.044444101349.075224
522010540200012019-03-292141703.기업기타240006690.0039170.0143750.22916748.37554.9583331.25833323.10416729.541667101356.666765224
622010540200012019-03-222141703.기업기타240006690.00350.01350.1542.548.00.8515.0526.5101339.564224
722010540200012019-03-152141703.기업기타240006690.0036670.0133640.1969721.39393923.8484850.79393913.85454540.969697101354.484842223
822010540200012019-03-012141703.기업기타240006690.0037060.0139410.114706100.151515114.5454550.94705923.83235317.058824101346.441287225
922010540200022019-03-271172102.여성60대이상33399096140.0043090.0138910.23454534.54545540.2363640.88363626.76545520.436364101352.963653424
집계구코드등록날짜개인기업구분코드승인시간대성별구분연령대구분매출합계매출건수회원수의료기관/제약업종 업체수아황산가스 값이산화질소 값일산화탄소 값pm2.5 값pm10 값휘발성유기화합물 값온도 값습도 값대기압 값초미세먼지 지수미세먼지 지수매출합계 지수매출건수 지수통합 인덱스
9022010590100022019-03-131172102.여성60대이상1500033140.0040120.0139710.1473689.57988211.6745561.16140418.4865517.596491101349.865521212
9122010590200012019-03-221172101.남성30대3445076870.0041860.014050.26785730.48031534.7480310.91928619.23571421.192857101349.392953223
9222010590200012019-03-291172101.남성30대3445076870.0040450.0139960.26567240.14179145.51.76417925.64738829.141791101347.962764224
9322010590200012019-03-011172101.남성30대3445076870.0039570.0140790.27260796.544803112.0788530.97986818.52178223.528053101347.161787225
9422010590200012019-03-081172101.남성30대3445076870.003980.0139180.20942659.83606668.5204921.13032825.76803322.901639101348.073875224
9522010590200012019-03-151172101.남성30대3445076870.0039370.0140810.21891920.88018423.8294931.44054118.3603631.617117101347.837832222
9622010590200022019-03-281212401.남성20대3447066180.0041520.0140.282440.40163946.5901641.07630.223.208101349.51264224
9722010590200022019-03-141212401.남성20대3447066180.003940.0140170.21196624.81651428.1100922.92307722.63589713.846154101347.418842223
9822010590200022019-03-211212401.남성20대3447066180.0040770.0140410.21656814.85889616.8895714.34556228.27218931.053254101348.893522222
9922010590200022019-03-071212401.남성20대3447066180.0038670.0140610.26224588.265306105.0816330.78469419.81428629.5101358.295987225