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

Numeric16
Categorical8

Alerts

휘발성유기화합물 값 has unique valuesUnique
온도 값 has unique valuesUnique
습도 값 has unique valuesUnique
대기압 값 has unique valuesUnique
의료기관/제약업종 업체수 has 10 (10.0%) zerosZeros
pm2.5 값 has 2 (2.0%) zerosZeros
pm10 값 has 2 (2.0%) zerosZeros

Reproduction

Analysis started2024-04-17 22:21:34.528369
Analysis finished2024-04-17 22:21:34.702883
Duration0.17 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
2024-04-18T07:21:34.757574image/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 deviation1804783.2
Coefficient of variation (CV)8.1996255 × 10-7
Kurtosis-0.55224471
Mean2.2010557 × 1012
Median Absolute Deviation (MAD)1979998
Skewness0.79634991
Sum2.2010557 × 1014
Variance3.2572426 × 1012
MonotonicityIncreasing
2024-04-18T07:21:34.872434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2201054010001 5
 
5.0%
2201054020001 5
 
5.0%
2201059020001 5
 
5.0%
2201059010001 5
 
5.0%
2201056010101 5
 
5.0%
2201056010003 5
 
5.0%
2201054030001 5
 
5.0%
2201054030003 4
 
4.0%
2201054030004 4
 
4.0%
2201059020002 4
 
4.0%
Other values (15) 53
53.0%
ValueCountFrequency (%)
2201054010001 5
5.0%
2201054020001 5
5.0%
2201054020002 4
4.0%
2201054020003 4
4.0%
2201054030001 5
5.0%
2201054030002 4
4.0%
2201054030003 4
4.0%
2201054030004 4
4.0%
2201054030005 3
3.0%
2201054030006 3
3.0%
ValueCountFrequency (%)
2201059020002 4
4.0%
2201059020001 5
5.0%
2201059010002 4
4.0%
2201059010001 5
5.0%
2201056040001 4
4.0%
2201056030101 1
 
1.0%
2201056030002 4
4.0%
2201056030001 4
4.0%
2201056020001 4
4.0%
2201056010201 4
4.0%

등록날짜
Categorical

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2019-06-23
 
5
2019-06-16
 
5
2019-06-09
 
5
2019-06-28
 
5
2019-06-04
 
5
Other values (21)
75 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-06-23
2nd row2019-06-30
3rd row2019-06-02
4th row2019-06-16
5th row2019-06-09

Common Values

ValueCountFrequency (%)
2019-06-23 5
 
5.0%
2019-06-16 5
 
5.0%
2019-06-09 5
 
5.0%
2019-06-28 5
 
5.0%
2019-06-04 5
 
5.0%
2019-06-11 5
 
5.0%
2019-06-18 5
 
5.0%
2019-06-25 5
 
5.0%
2019-06-07 4
 
4.0%
2019-06-02 4
 
4.0%
Other values (16) 52
52.0%

Length

2024-04-18T07:21:34.973791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-06-23 5
 
5.0%
2019-06-09 5
 
5.0%
2019-06-28 5
 
5.0%
2019-06-04 5
 
5.0%
2019-06-11 5
 
5.0%
2019-06-18 5
 
5.0%
2019-06-25 5
 
5.0%
2019-06-16 5
 
5.0%
2019-06-21 4
 
4.0%
2019-06-24 4
 
4.0%
Other values (16) 52
52.0%
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
78 
2
22 

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 78
78.0%
2 22
 
22.0%

Length

2024-04-18T07:21:35.057618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:35.125637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 78
78.0%
2 22
 
22.0%

승인시간대
Real number (ℝ)

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1169.29
Minimum6
Maximum2124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:35.191574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q11114
median1417
Q31417
95-th percentile1721
Maximum2124
Range2118
Interquartile range (IQR)303

Descriptive statistics

Standard deviation573.22394
Coefficient of variation (CV)0.49023248
Kurtosis0.026055958
Mean1169.29
Median Absolute Deviation (MAD)303
Skewness-0.9294652
Sum116929
Variance328585.68
MonotonicityNot monotonic
2024-04-18T07:21:35.278815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1417 41
41.0%
1114 17
17.0%
1721 15
 
15.0%
6 14
 
14.0%
611 9
 
9.0%
2124 4
 
4.0%
ValueCountFrequency (%)
6 14
 
14.0%
611 9
 
9.0%
1114 17
17.0%
1417 41
41.0%
1721 15
 
15.0%
2124 4
 
4.0%
ValueCountFrequency (%)
2124 4
 
4.0%
1721 15
 
15.0%
1417 41
41.0%
1114 17
17.0%
611 9
 
9.0%
6 14
 
14.0%

성별구분
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
02.여성
44 
01.남성
34 
03.기업
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
02.여성 44
44.0%
01.남성 34
34.0%
03.기업 22
22.0%

Length

2024-04-18T07:21:35.387858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:35.462301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02.여성 44
44.0%
01.남성 34
34.0%
03.기업 22
22.0%

연령대구분
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20대
52 
기타
22 
30대
22 
40대
 
4

Length

Max length3
Median length3
Mean length2.78
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20대 52
52.0%
기타 22
22.0%
30대 22
22.0%
40대 4
 
4.0%

Length

2024-04-18T07:21:35.548103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:35.630124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 52
52.0%
기타 22
22.0%
30대 22
22.0%
40대 4
 
4.0%

매출합계
Real number (ℝ)

Distinct25
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83675.5
Minimum9300
Maximum993000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:35.715957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9300
5-th percentile9600
Q126060
median40390
Q3128000
95-th percentile316000
Maximum993000
Range983700
Interquartile range (IQR)101940

Descriptive statistics

Standard deviation118651.61
Coefficient of variation (CV)1.417997
Kurtosis34.787105
Mean83675.5
Median Absolute Deviation (MAD)25090
Skewness4.9906291
Sum8367550
Variance1.4078203 × 1010
MonotonicityNot monotonic
2024-04-18T07:21:35.817805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
147000 5
 
5.0%
15300 5
 
5.0%
49350 5
 
5.0%
138000 5
 
5.0%
36700 5
 
5.0%
50100 5
 
5.0%
316000 5
 
5.0%
166300 4
 
4.0%
15500 4
 
4.0%
9300 4
 
4.0%
Other values (15) 53
53.0%
ValueCountFrequency (%)
9300 4
4.0%
9600 4
4.0%
12500 4
4.0%
15300 5
5.0%
15500 4
4.0%
22500 2
 
2.0%
26060 4
4.0%
27000 4
4.0%
30750 4
4.0%
33200 4
4.0%
ValueCountFrequency (%)
993000 1
 
1.0%
316000 5
5.0%
168700 3
3.0%
166300 4
4.0%
147000 5
5.0%
138000 5
5.0%
128000 4
4.0%
104500 4
4.0%
94000 3
3.0%
53500 4
4.0%

매출건수
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.06
Minimum3
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:35.906957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median4
Q35
95-th percentile10.15
Maximum13
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6848622
Coefficient of variation (CV)0.53060517
Kurtosis1.8486121
Mean5.06
Median Absolute Deviation (MAD)1
Skewness1.5803994
Sum506
Variance7.2084848
MonotonicityNot monotonic
2024-04-18T07:21:35.995960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 38
38.0%
4 20
20.0%
5 18
18.0%
8 7
 
7.0%
7 5
 
5.0%
13 5
 
5.0%
9 4
 
4.0%
10 3
 
3.0%
ValueCountFrequency (%)
3 38
38.0%
4 20
20.0%
5 18
18.0%
7 5
 
5.0%
8 7
 
7.0%
9 4
 
4.0%
10 3
 
3.0%
13 5
 
5.0%
ValueCountFrequency (%)
13 5
 
5.0%
10 3
 
3.0%
9 4
 
4.0%
8 7
 
7.0%
7 5
 
5.0%
5 18
18.0%
4 20
20.0%
3 38
38.0%

회원수
Real number (ℝ)

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.66
Minimum3
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:36.078509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median4
Q35
95-th percentile10
Maximum10
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2212018
Coefficient of variation (CV)0.47665274
Kurtosis0.65899377
Mean4.66
Median Absolute Deviation (MAD)1
Skewness1.3432141
Sum466
Variance4.9337374
MonotonicityNot monotonic
2024-04-18T07:21:36.160628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 47
47.0%
4 15
 
15.0%
5 14
 
14.0%
10 8
 
8.0%
7 7
 
7.0%
6 5
 
5.0%
9 4
 
4.0%
ValueCountFrequency (%)
3 47
47.0%
4 15
 
15.0%
5 14
 
14.0%
6 5
 
5.0%
7 7
 
7.0%
9 4
 
4.0%
10 8
 
8.0%
ValueCountFrequency (%)
10 8
 
8.0%
9 4
 
4.0%
7 7
 
7.0%
6 5
 
5.0%
5 14
 
14.0%
4 15
 
15.0%
3 47
47.0%

의료기관/제약업종 업체수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum0
Maximum114
Zeros10
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:36.250814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q318
95-th percentile78
Maximum114
Range114
Interquartile range (IQR)16

Descriptive statistics

Standard deviation26.56876
Coefficient of variation (CV)1.5628682
Kurtosis6.0926682
Mean17
Median Absolute Deviation (MAD)7
Skewness2.5547102
Sum1700
Variance705.89899
MonotonicityNot monotonic
2024-04-18T07:21:36.365693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 14
14.0%
14 12
12.0%
0 10
10.0%
4 9
 
9.0%
2 7
 
7.0%
9 5
 
5.0%
78 5
 
5.0%
6 5
 
5.0%
35 5
 
5.0%
114 4
 
4.0%
Other values (6) 24
24.0%
ValueCountFrequency (%)
0 10
10.0%
1 14
14.0%
2 7
7.0%
4 9
9.0%
5 4
 
4.0%
6 5
 
5.0%
7 4
 
4.0%
9 5
 
5.0%
14 12
12.0%
16 4
 
4.0%
ValueCountFrequency (%)
114 4
 
4.0%
78 5
5.0%
35 5
5.0%
27 4
 
4.0%
20 4
 
4.0%
18 4
 
4.0%
16 4
 
4.0%
14 12
12.0%
9 5
5.0%
7 4
 
4.0%

아황산가스 값
Real number (ℝ)

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0039856175
Minimum0.0025
Maximum0.006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:36.478717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0025
5-th percentile0.003521619
Q10.003907761
median0.0040097329
Q30.0040955285
95-th percentile0.0043768382
Maximum0.006
Range0.0035
Interquartile range (IQR)0.00018776745

Descriptive statistics

Standard deviation0.00035962034
Coefficient of variation (CV)0.090229517
Kurtosis13.272137
Mean0.0039856175
Median Absolute Deviation (MAD)9.1430342 × 10-5
Skewness0.49852004
Sum0.39856175
Variance1.2932679 × 10-7
MonotonicityNot monotonic
2024-04-18T07:21:36.594761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0039333333333333 2
 
2.0%
0.004 2
 
2.0%
0.0041764705882352 2
 
2.0%
0.00405 2
 
2.0%
0.0040666666666666 2
 
2.0%
0.0040136286201021 1
 
1.0%
0.0039952153110047 1
 
1.0%
0.0038333333333333 1
 
1.0%
0.0038076923076923 1
 
1.0%
0.0039478260869565 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0025 1
1.0%
0.00275 1
1.0%
0.003 1
1.0%
0.0033333333333333 1
1.0%
0.00348 1
1.0%
0.0035238095238095 1
1.0%
0.0035324675324675 1
1.0%
0.0036666666666666 1
1.0%
0.0036923076923076 1
1.0%
0.0037142857142857 1
1.0%
ValueCountFrequency (%)
0.006 1
1.0%
0.00475 1
1.0%
0.0044375 1
1.0%
0.0044137931034482 1
1.0%
0.0044117647058823 1
1.0%
0.004375 1
1.0%
0.0043333333333333 1
1.0%
0.0042857142857142 1
1.0%
0.0042753623188405 1
1.0%
0.0042083333333333 1
1.0%

이산화질소 값
Real number (ℝ)

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013938594
Minimum0.012
Maximum0.014666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:36.710190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.012
5-th percentile0.013434856
Q10.013858107
median0.01396877
Q30.014072802
95-th percentile0.014288095
Maximum0.014666667
Range0.0026666667
Interquartile range (IQR)0.00021469554

Descriptive statistics

Standard deviation0.00031561214
Coefficient of variation (CV)0.02264304
Kurtosis14.399696
Mean0.013938594
Median Absolute Deviation (MAD)0.00010815278
Skewness-2.5130556
Sum1.3938594
Variance9.9611025 × 10-8
MonotonicityNot monotonic
2024-04-18T07:21:36.855492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.014 3
 
3.0%
0.0136666666666666 3
 
3.0%
0.0139999999999999 2
 
2.0%
0.01425 2
 
2.0%
0.014156862745098 2
 
2.0%
0.01408 2
 
2.0%
0.014076923076923 2
 
2.0%
0.0133333333333333 2
 
2.0%
0.0142857142857142 2
 
2.0%
0.0139572649572649 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.012 1
 
1.0%
0.013 1
 
1.0%
0.0133333333333333 2
2.0%
0.0133846153846153 1
 
1.0%
0.0134375 1
 
1.0%
0.0135625 1
 
1.0%
0.0136058823529411 1
 
1.0%
0.0136511627906976 1
 
1.0%
0.0136666666666666 3
3.0%
0.0137435897435897 1
 
1.0%
ValueCountFrequency (%)
0.0146666666666666 1
1.0%
0.0145999999999999 1
1.0%
0.0145 1
1.0%
0.0144999999999999 1
1.0%
0.0143333333333333 1
1.0%
0.0142857142857142 2
2.0%
0.0142558139534883 1
1.0%
0.01425 2
2.0%
0.0142272727272727 1
1.0%
0.0142058823529411 1
1.0%

일산화탄소 값
Real number (ℝ)

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45651532
Minimum0
Maximum4.7153846
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:36.989223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.15985989
Q10.24934211
median0.27537799
Q30.30621299
95-th percentile1.2197346
Maximum4.7153846
Range4.7153846
Interquartile range (IQR)0.056870883

Descriptive statistics

Standard deviation0.68475445
Coefficient of variation (CV)1.4999594
Kurtosis20.2776
Mean0.45651532
Median Absolute Deviation (MAD)0.028276574
Skewness4.359576
Sum45.651532
Variance0.46888866
MonotonicityNot monotonic
2024-04-18T07:21:37.099229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3 4
 
4.0%
0.2 2
 
2.0%
0.25 2
 
2.0%
0.2999999999999999 2
 
2.0%
0.2874999999999999 2
 
2.0%
0.3361158432708703 1
 
1.0%
0.4227733934611057 1
 
1.0%
0.2380281690140842 1
 
1.0%
0.2751196172248808 1
 
1.0%
0.2749999999999999 1
 
1.0%
Other values (83) 83
83.0%
ValueCountFrequency (%)
0.0 1
1.0%
0.1160337552742615 1
1.0%
0.1222222222222222 1
1.0%
0.1226548672566367 1
1.0%
0.1467391304347826 1
1.0%
0.1605504587155965 1
1.0%
0.1702127659574467 1
1.0%
0.184 1
1.0%
0.188235294117647 1
1.0%
0.1924528301886792 1
1.0%
ValueCountFrequency (%)
4.715384615384615 1
1.0%
3.2653846153846207 1
1.0%
3.093529411764693 1
1.0%
2.692307692307692 1
1.0%
2.376000000000002 1
1.0%
1.1588785046728964 1
1.0%
0.9705882352941182 1
1.0%
0.944720496894413 1
1.0%
0.8158940397350988 1
1.0%
0.6725490196078426 1
1.0%

pm2.5 값
Real number (ℝ)

ZEROS 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.803337
Minimum0
Maximum53.393162
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:37.221759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2442951
Q16.1697922
median12.416667
Q320.351099
95-th percentile36.379107
Maximum53.393162
Range53.393162
Interquartile range (IQR)14.181307

Descriptive statistics

Standard deviation10.969344
Coefficient of variation (CV)0.74100479
Kurtosis0.74828717
Mean14.803337
Median Absolute Deviation (MAD)7.1928571
Skewness0.99423971
Sum1480.3337
Variance120.3265
MonotonicityNot monotonic
2024-04-18T07:21:37.340789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2
 
2.0%
3.46455223880597 1
 
1.0%
53.39316239316239 1
 
1.0%
14.304347826086955 1
 
1.0%
2.2344497607655502 1
 
1.0%
7.0 1
 
1.0%
35.34615384615385 1
 
1.0%
15.147058823529411 1
 
1.0%
9.432432432432432 1
 
1.0%
15.208333333333334 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
0.0 2
2.0%
1.3333333333333333 1
1.0%
1.6666666666666667 1
1.0%
2.2344497607655502 1
1.0%
2.2448132780082988 1
1.0%
2.6206896551724137 1
1.0%
2.6666666666666665 1
1.0%
2.6933333333333334 1
1.0%
2.876847290640394 1
1.0%
3.097560975609756 1
1.0%
ValueCountFrequency (%)
53.39316239316239 1
1.0%
43.5 1
1.0%
39.01052631578948 1
1.0%
38.26086956521739 1
1.0%
36.457142857142856 1
1.0%
36.375 1
1.0%
35.34615384615385 1
1.0%
32.44444444444444 1
1.0%
32.15 1
1.0%
30.261744966442954 1
1.0%

pm10 값
Real number (ℝ)

ZEROS 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.055225
Minimum0
Maximum58.794872
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:37.508792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.3442118
Q16.7891327
median13.216361
Q322.288187
95-th percentile39.179712
Maximum58.794872
Range58.794872
Interquartile range (IQR)15.499054

Descriptive statistics

Standard deviation11.833804
Coefficient of variation (CV)0.73706873
Kurtosis0.89191279
Mean16.055225
Median Absolute Deviation (MAD)7.6572327
Skewness1.0230193
Sum1605.5225
Variance140.03892
MonotonicityNot monotonic
2024-04-18T07:21:37.648526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2
 
2.0%
3.904850746268657 1
 
1.0%
58.7948717948718 1
 
1.0%
15.81159420289855 1
 
1.0%
2.54066985645933 1
 
1.0%
7.666666666666667 1
 
1.0%
39.26923076923077 1
 
1.0%
16.470588235294116 1
 
1.0%
10.1981981981982 1
 
1.0%
17.047619047619047 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
0.0 2
2.0%
1.6666666666666667 1
1.0%
1.75 1
1.0%
2.0517241379310347 1
1.0%
2.3596059113300494 1
1.0%
2.54066985645933 1
1.0%
2.6666666666666665 1
1.0%
2.796680497925311 1
1.0%
2.8266666666666667 1
1.0%
3.365853658536585 1
1.0%
ValueCountFrequency (%)
58.7948717948718 1
1.0%
46.75 1
1.0%
41.66304347826087 1
1.0%
40.526315789473685 1
1.0%
39.26923076923077 1
1.0%
39.175 1
1.0%
39.12785388127854 1
1.0%
36.4 1
1.0%
33.671140939597315 1
1.0%
32.520833333333336 1
1.0%

휘발성유기화합물 값
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2043575
Minimum0.6
Maximum27.297246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:37.775571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile1.0944737
Q12.0503205
median4.5452926
Q38.0750639
95-th percentile18.573273
Maximum27.297246
Range26.697246
Interquartile range (IQR)6.0247434

Descriptive statistics

Standard deviation5.6523409
Coefficient of variation (CV)0.91102761
Kurtosis2.7315348
Mean6.2043575
Median Absolute Deviation (MAD)2.8538024
Skewness1.6748985
Sum620.43575
Variance31.948958
MonotonicityNot monotonic
2024-04-18T07:21:37.896748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.6742759795570707 1
 
1.0%
2.295726495726496 1
 
1.0%
1.6788732394366213 1
 
1.0%
1.8459330143540709 1
 
1.0%
3.241666666666666 1
 
1.0%
2.565384615384616 1
 
1.0%
1.4647058823529415 1
 
1.0%
3.2686956521739234 1
 
1.0%
4.9335294117647 1
 
1.0%
3.4018038331454528 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
0.5999999999999998 1
1.0%
0.6714285714285713 1
1.0%
0.8142857142857142 1
1.0%
0.9437499999999998 1
1.0%
0.9894736842105262 1
1.0%
1.1 1
1.0%
1.11875 1
1.0%
1.2 1
1.0%
1.2499999999999998 1
1.0%
1.254000000000005 1
1.0%
ValueCountFrequency (%)
27.29724576271189 1
1.0%
23.909109311740927 1
1.0%
22.9 1
1.0%
21.633333333333336 1
1.0%
19.394405594405598 1
1.0%
18.53005565862708 1
1.0%
17.623529411764704 1
1.0%
16.716306156406006 1
1.0%
16.371999999999993 1
1.0%
14.76666666666667 1
1.0%

온도 값
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.360182
Minimum23.6
Maximum47.888571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:38.006409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.6
5-th percentile27.934141
Q131.448242
median35.272389
Q338.884905
95-th percentile43.635107
Maximum47.888571
Range24.288571
Interquartile range (IQR)7.4366634

Descriptive statistics

Standard deviation4.9154119
Coefficient of variation (CV)0.1390098
Kurtosis-0.39902168
Mean35.360182
Median Absolute Deviation (MAD)3.8219807
Skewness0.2149115
Sum3536.0182
Variance24.161274
MonotonicityNot monotonic
2024-04-18T07:21:38.117153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.696081771720543 1
 
1.0%
47.88857142857141 1
 
1.0%
30.75070422535215 1
 
1.0%
26.05454545454548 1
 
1.0%
34.033333333333324 1
 
1.0%
35.788000000000004 1
 
1.0%
41.07352941176472 1
 
1.0%
36.46086956521737 1
 
1.0%
35.58999999999999 1
 
1.0%
35.63079625292745 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
23.6 1
1.0%
26.05454545454548 1
1.0%
26.93265306122448 1
1.0%
27.078666666666667 1
1.0%
27.780000000000005 1
1.0%
27.942253521126748 1
1.0%
28.66641221374049 1
1.0%
29.03023255813955 1
1.0%
29.31452513966481 1
1.0%
29.44683840749412 1
1.0%
ValueCountFrequency (%)
47.88857142857141 1
1.0%
46.5 1
1.0%
45.49999999999999 1
1.0%
44.30232945091515 1
1.0%
43.70637583892624 1
1.0%
43.63135593220333 1
1.0%
43.06818181818183 1
1.0%
42.378431372549024 1
1.0%
42.3364485981308 1
1.0%
41.62214765100666 1
1.0%

습도 값
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.65585
Minimum14.777778
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:38.224003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.777778
5-th percentile24.409817
Q130.861111
median37.498551
Q346.955625
95-th percentile64.047333
Maximum71
Range56.222222
Interquartile range (IQR)16.094514

Descriptive statistics

Standard deviation12.086548
Coefficient of variation (CV)0.30478601
Kurtosis0.16149467
Mean39.65585
Median Absolute Deviation (MAD)7.8059637
Skewness0.74344168
Sum3965.585
Variance146.08465
MonotonicityNot monotonic
2024-04-18T07:21:38.342242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.36626916524702 1
 
1.0%
14.77777777777778 1
 
1.0%
37.12676056338028 1
 
1.0%
68.10526315789474 1
 
1.0%
58.25 1
 
1.0%
31.884615384615383 1
 
1.0%
26.029411764705884 1
 
1.0%
31.98260869565217 1
 
1.0%
47.23529411764706 1
 
1.0%
29.35287485907553 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
14.77777777777778 1
1.0%
17.902173913043477 1
1.0%
21.181818181818183 1
1.0%
23.46583850931677 1
1.0%
24.162790697674417 1
1.0%
24.42281879194631 1
1.0%
25.0 1
1.0%
25.245283018867923 1
1.0%
26.029411764705884 1
1.0%
26.07692307692308 1
1.0%
ValueCountFrequency (%)
71.0 1
1.0%
68.3206106870229 1
1.0%
68.10526315789474 1
1.0%
67.33333333333333 1
1.0%
64.94666666666667 1
1.0%
64.0 1
1.0%
63.87755102040816 1
1.0%
63.4 1
1.0%
62.10344827586207 1
1.0%
59.647887323943664 1
1.0%

대기압 값
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101348.87
Minimum101319.2
Maximum101380.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:38.947530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101319.2
5-th percentile101339.94
Q1101346.7
median101349.12
Q3101350.55
95-th percentile101358.23
Maximum101380.67
Range61.4667
Interquartile range (IQR)3.855825

Descriptive statistics

Standard deviation6.5781002
Coefficient of variation (CV)6.4905507 × 10-5
Kurtosis9.028135
Mean101348.87
Median Absolute Deviation (MAD)1.83905
Skewness0.38215541
Sum10134887
Variance43.271402
MonotonicityNot monotonic
2024-04-18T07:21:39.084009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101347.5707 1
 
1.0%
101349.359 1
 
1.0%
101348.2535 1
 
1.0%
101348.2153 1
 
1.0%
101345.6667 1
 
1.0%
101343.4231 1
 
1.0%
101342.8824 1
 
1.0%
101345.0957 1
 
1.0%
101349.4941 1
 
1.0%
101348.6347 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
101319.2 1
1.0%
101335.3333 1
1.0%
101336.0 1
1.0%
101336.8 1
1.0%
101338.7778 1
1.0%
101340.0 1
1.0%
101342.3158 1
1.0%
101342.4737 1
1.0%
101342.8824 1
1.0%
101343.0 1
1.0%
ValueCountFrequency (%)
101380.6667 1
1.0%
101366.0 1
1.0%
101365.5 1
1.0%
101359.5 1
1.0%
101358.9231 1
1.0%
101358.1905 1
1.0%
101357.4375 1
1.0%
101356.1538 1
1.0%
101355.9811 1
1.0%
101354.4348 1
1.0%

초미세먼지 지수
Real number (ℝ)

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.49
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T07:21:39.171126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.25
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.5858911
Coefficient of variation (CV)0.63690405
Kurtosis-0.35918623
Mean2.49
Median Absolute Deviation (MAD)1
Skewness0.85592351
Sum249
Variance2.5150505
MonotonicityNot monotonic
2024-04-18T07:21:39.253366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 37
37.0%
2 24
24.0%
3 14
 
14.0%
5 13
 
13.0%
4 8
 
8.0%
6 3
 
3.0%
7 1
 
1.0%
ValueCountFrequency (%)
1 37
37.0%
2 24
24.0%
3 14
 
14.0%
4 8
 
8.0%
5 13
 
13.0%
6 3
 
3.0%
7 1
 
1.0%
ValueCountFrequency (%)
7 1
 
1.0%
6 3
 
3.0%
5 13
 
13.0%
4 8
 
8.0%
3 14
 
14.0%
2 24
24.0%
1 37
37.0%
Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
57 
2
31 
3
4
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 57
57.0%
2 31
31.0%
3 9
 
9.0%
4 2
 
2.0%
5 1
 
1.0%

Length

2024-04-18T07:21:39.349614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:39.442307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 57
57.0%
2 31
31.0%
3 9
 
9.0%
4 2
 
2.0%
5 1
 
1.0%
Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2
49 
4
30 
3
12 
1
5
 
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 row4

Common Values

ValueCountFrequency (%)
2 49
49.0%
4 30
30.0%
3 12
 
12.0%
1 8
 
8.0%
5 1
 
1.0%

Length

2024-04-18T07:21:39.569528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:39.671108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 49
49.0%
4 30
30.0%
3 12
 
12.0%
1 8
 
8.0%
5 1
 
1.0%
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
58 
2
42 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 58
58.0%
2 42
42.0%

Length

2024-04-18T07:21:39.758196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:39.831630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 58
58.0%
2 42
42.0%

통합 인덱스
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2
67 
3
21 
1
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row3

Common Values

ValueCountFrequency (%)
2 67
67.0%
3 21
 
21.0%
1 9
 
9.0%
4 3
 
3.0%

Length

2024-04-18T07:21:39.911610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:39.990140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 67
67.0%
3 21
 
21.0%
1 9
 
9.0%
4 3
 
3.0%

Sample

집계구코드등록날짜개인기업구분코드승인시간대성별구분연령대구분매출합계매출건수회원수의료기관/제약업종 업체수아황산가스 값이산화질소 값일산화탄소 값pm2.5 값pm10 값휘발성유기화합물 값온도 값습도 값대기압 값초미세먼지 지수미세먼지 지수매출합계 지수매출건수 지수통합 인덱스
022010540100012019-06-232603.기업기타14700043350.0040140.0139370.3361163.4645523.9048512.67427630.69608238.366269101347.570711412
122010540100012019-06-302603.기업기타14700043350.0040040.0140660.20164612.48717913.5470093.79835434.86790155.930041101347.818921412
222010540100012019-06-022603.기업기타14700043350.0039910.0139080.160554.6972485.4495415.95504631.35963332.211009101352.660611412
322010540100012019-06-162603.기업기타14700043350.003920.0140050.2683846.2445056.840226.36955529.44683848.962529101350.864211412
422010540100012019-06-092603.기업기타14700043350.0040950.0141190.20596227.29810329.975611.39972929.31452541.560976101348.861852413
522010540200012019-06-291141702.여성30대153005590.00380.01460.319.621.84.230.6464.0101336.832222
622010540200012019-06-011141702.여성30대153005590.0038420.0141050.26842132.44444424.9444447.37368432.64210526.842105101342.473752223
722010540200012019-06-221141702.여성30대153005590.0040780.0138630.2725493.8823534.23529414.76666742.37843136.901961101350.019611222
822010540200012019-06-151141702.여성30대153005590.0039420.014253.26538513.7515.9807692.19230837.29230847.153846101352.557721222
922010540200012019-06-081141702.여성30대153005590.0040670.0141330.319.4666679.810.5438.31333334.866667101319.231222
집계구코드등록날짜개인기업구분코드승인시간대성별구분연령대구분매출합계매출건수회원수의료기관/제약업종 업체수아황산가스 값이산화질소 값일산화탄소 값pm2.5 값pm10 값휘발성유기화합물 값온도 값습도 값대기압 값초미세먼지 지수미세먼지 지수매출합계 지수매출건수 지수통합 인덱스
9022010590100022019-06-101172102.여성20대960033160.0041440.0138670.2811116.9666678.1111111.57333333.20333330.444444101351.111111111
9122010590200012019-06-29161102.여성20대493501310780.0040270.0138550.3423667.2279797.8704669.45992428.66641268.320611101350.694711222
9222010590200012019-06-15161102.여성20대493501310780.004010.0139130.40241514.66995116.30049311.91449336.54106337.661836101349.758522222
9322010590200012019-06-08161102.여성20대493501310780.003930.0139790.23813617.54945114.82417627.29724643.63135644.934322101349.165331222
9422010590200012019-06-22161102.여성20대493501310780.0040350.013970.3810323.6055363.95320616.71630644.30232931.161398101351.377711222
9522010590200012019-06-01161102.여성20대493501310780.0040790.0139410.2682197.3665257.97881423.90910941.15101236.728745101345.151811222
9622010590200022019-06-101111401.남성30대930044180.0039330.013750.2816672.620692.0517246.96833333.20666739.233333101352.611111
9722010590200022019-06-031111401.남성30대930044180.0039750.0138820.9447227.6455730.1898736.30745341.62214823.465839101350.503152112
9822010590200022019-06-171111401.남성30대930044180.0040190.0138274.71538512.34615414.2307692.15961536.59230845.576923101356.153821111
9922010590200022019-06-241111401.남성30대930044180.0040430.0137450.1702137.0851067.91489411.55319132.76956538.914894101353.914911111