Overview

Dataset statistics

Number of variables22
Number of observations53
Missing cells412
Missing cells (%)35.3%
Duplicate rows1
Duplicate rows (%)1.9%
Total size in memory10.2 KiB
Average record size in memory196.5 B

Variable types

Categorical4
Numeric18

Dataset

Description한국지역난방공사 지사별, 연도별 폐수배출 농도에 대한 데이터로 구분, 지사, 배출허용기준, 단위, 연도별 데이터를 제공합니다.
Author한국지역난방공사
URLhttps://www.data.go.kr/data/15054405/fileData.do

Alerts

Dataset has 1 (1.9%) duplicate rowsDuplicates
2009_최소 has 32 (60.4%) missing valuesMissing
2009_최대 has 32 (60.4%) missing valuesMissing
2010_최소 has 32 (60.4%) missing valuesMissing
2010_최대 has 32 (60.4%) missing valuesMissing
2011_최소 has 27 (50.9%) missing valuesMissing
2011_최대 has 26 (49.1%) missing valuesMissing
2012_최소 has 23 (43.4%) missing valuesMissing
2012_최대 has 23 (43.4%) missing valuesMissing
2013_최소 has 20 (37.7%) missing valuesMissing
2013_최대 has 20 (37.7%) missing valuesMissing
2014_평균 has 20 (37.7%) missing valuesMissing
2015_평균 has 20 (37.7%) missing valuesMissing
2016_평균 has 20 (37.7%) missing valuesMissing
2017_평균 has 17 (32.1%) missing valuesMissing
2018_평균 has 17 (32.1%) missing valuesMissing
2019_평균 has 17 (32.1%) missing valuesMissing
2020_평균 has 17 (32.1%) missing valuesMissing
2021_평균 has 17 (32.1%) missing valuesMissing
2020_평균 has 1 (1.9%) zerosZeros
2021_평균 has 1 (1.9%) zerosZeros

Reproduction

Analysis started2023-12-12 18:40:50.850856
Analysis finished2023-12-12 18:40:51.209163
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구 분
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
17 
pH
12 
COD
12 
SS
12 

Length

Max length4
Median length3
Mean length2.8679245
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
32.1%
pH 12
22.6%
COD 12
22.6%
SS 12
22.6%

Length

2023-12-13T03:40:51.352755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:40:51.550965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
32.1%
ph 12
22.6%
cod 12
22.6%
ss 12
22.6%

지사
Categorical

Distinct14
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
17 
강남
3 
대구
3 
수원
3 
청주
3 
Other values (9)
24 

Length

Max length4
Median length2
Mean length2.6603774
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row강남
2nd row대구
3rd row수원
4th row청주
5th row양산

Common Values

ValueCountFrequency (%)
<NA> 17
32.1%
강남 3
 
5.7%
대구 3
 
5.7%
수원 3
 
5.7%
청주 3
 
5.7%
양산 3
 
5.7%
용인 3
 
5.7%
파주 3
 
5.7%
판교 3
 
5.7%
삼송 3
 
5.7%
Other values (4) 9
17.0%

Length

2023-12-13T03:40:51.820026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 17
32.1%
강남 3
 
5.7%
대구 3
 
5.7%
수원 3
 
5.7%
청주 3
 
5.7%
양산 3
 
5.7%
용인 3
 
5.7%
파주 3
 
5.7%
판교 3
 
5.7%
삼송 3
 
5.7%
Other values (3) 9
17.0%

배출허용기준
Categorical

Distinct8
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
17 
120이하
11 
5.8～8.6
10 
130이하
10 
5.8~8.6
2 
Other values (3)
3 

Length

Max length7
Median length5
Mean length5.0943396
Min length4

Unique

Unique3 ?
Unique (%)5.7%

Sample

1st row5.8～8.6
2nd row5.8～8.6
3rd row5.8～8.6
4th row5.8～8.6
5th row5.8～8.6

Common Values

ValueCountFrequency (%)
<NA> 17
32.1%
120이하 11
20.8%
5.8～8.6 10
18.9%
130이하 10
18.9%
5.8~8.6 2
 
3.8%
300이하 1
 
1.9%
90이하 1
 
1.9%
80이하 1
 
1.9%

Length

2023-12-13T03:40:52.086926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:40:52.325501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
32.1%
120이하 11
20.8%
5.8～8.6 10
18.9%
130이하 10
18.9%
5.8~8.6 2
 
3.8%
300이하 1
 
1.9%
90이하 1
 
1.9%
80이하 1
 
1.9%

단위
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
mg/ℓ
24 
<NA>
17 
pH
12 

Length

Max length4
Median length4
Mean length3.5471698
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
mg/ℓ 24
45.3%
<NA> 17
32.1%
pH 12
22.6%

Length

2023-12-13T03:40:52.583445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:40:52.770253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mg/ℓ 24
45.3%
na 17
32.1%
ph 12
22.6%

2009_최소
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)76.2%
Missing32
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean3.2142857
Minimum0.3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:52.927183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.5
Q11
median1.8
Q36.7
95-th percentile6.9
Maximum7
Range6.7
Interquartile range (IQR)5.7

Descriptive statistics

Standard deviation2.7384824
Coefficient of variation (CV)0.85197229
Kurtosis-1.6502057
Mean3.2142857
Median Absolute Deviation (MAD)1.3
Skewness0.4982269
Sum67.5
Variance7.4992857
MonotonicityNot monotonic
2023-12-13T03:40:53.577961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.0 3
 
5.7%
6.9 3
 
5.7%
0.5 2
 
3.8%
7.0 1
 
1.9%
6.5 1
 
1.9%
1.8 1
 
1.9%
6.7 1
 
1.9%
1.5 1
 
1.9%
6.8 1
 
1.9%
3.0 1
 
1.9%
Other values (6) 6
 
11.3%
(Missing) 32
60.4%
ValueCountFrequency (%)
0.3 1
 
1.9%
0.5 2
3.8%
0.6 1
 
1.9%
0.7 1
 
1.9%
1.0 3
5.7%
1.5 1
 
1.9%
1.6 1
 
1.9%
1.8 1
 
1.9%
2.7 1
 
1.9%
3.0 1
 
1.9%
ValueCountFrequency (%)
7.0 1
 
1.9%
6.9 3
5.7%
6.8 1
 
1.9%
6.7 1
 
1.9%
6.5 1
 
1.9%
3.6 1
 
1.9%
3.0 1
 
1.9%
2.7 1
 
1.9%
1.8 1
 
1.9%
1.6 1
 
1.9%

2009_최대
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)57.1%
Missing32
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean8.552381
Minimum0.5
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:53.755446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile3.4
Q17
median7.6
Q38.2
95-th percentile14
Maximum19
Range18.5
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation4.0588938
Coefficient of variation (CV)0.47459226
Kurtosis1.4164127
Mean8.552381
Median Absolute Deviation (MAD)0.6
Skewness0.77984153
Sum179.6
Variance16.474619
MonotonicityNot monotonic
2023-12-13T03:40:53.928507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7.5 3
 
5.7%
7.6 3
 
5.7%
7.0 3
 
5.7%
14.0 3
 
5.7%
7.7 2
 
3.8%
7.8 1
 
1.9%
19.0 1
 
1.9%
0.5 1
 
1.9%
3.4 1
 
1.9%
12.0 1
 
1.9%
Other values (2) 2
 
3.8%
(Missing) 32
60.4%
ValueCountFrequency (%)
0.5 1
 
1.9%
3.4 1
 
1.9%
5.0 1
 
1.9%
7.0 3
5.7%
7.5 3
5.7%
7.6 3
5.7%
7.7 2
3.8%
7.8 1
 
1.9%
8.2 1
 
1.9%
12.0 1
 
1.9%
ValueCountFrequency (%)
19.0 1
 
1.9%
14.0 3
5.7%
12.0 1
 
1.9%
8.2 1
 
1.9%
7.8 1
 
1.9%
7.7 2
3.8%
7.6 3
5.7%
7.5 3
5.7%
7.0 3
5.7%
5.0 1
 
1.9%

2010_최소
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)61.9%
Missing32
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean3.7142857
Minimum0.2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:54.126604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.3
Q11
median2
Q36.8
95-th percentile7.2
Maximum10
Range9.8
Interquartile range (IQR)5.8

Descriptive statistics

Standard deviation3.0257703
Coefficient of variation (CV)0.81463046
Kurtosis-1.1841836
Mean3.7142857
Median Absolute Deviation (MAD)1.7
Skewness0.50343586
Sum78
Variance9.1552857
MonotonicityNot monotonic
2023-12-13T03:40:54.312257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2.0 4
 
7.5%
6.8 3
 
5.7%
1.0 3
 
5.7%
7.0 2
 
3.8%
7.2 1
 
1.9%
6.2 1
 
1.9%
10.0 1
 
1.9%
4.0 1
 
1.9%
1.2 1
 
1.9%
3.0 1
 
1.9%
Other values (3) 3
 
5.7%
(Missing) 32
60.4%
ValueCountFrequency (%)
0.2 1
 
1.9%
0.3 1
 
1.9%
0.5 1
 
1.9%
1.0 3
5.7%
1.2 1
 
1.9%
2.0 4
7.5%
3.0 1
 
1.9%
4.0 1
 
1.9%
6.2 1
 
1.9%
6.8 3
5.7%
ValueCountFrequency (%)
10.0 1
 
1.9%
7.2 1
 
1.9%
7.0 2
3.8%
6.8 3
5.7%
6.2 1
 
1.9%
4.0 1
 
1.9%
3.0 1
 
1.9%
2.0 4
7.5%
1.2 1
 
1.9%
1.0 3
5.7%

2010_최대
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)61.9%
Missing32
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean8.4952381
Minimum3
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:54.484006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q16
median7.6
Q310
95-th percentile18
Maximum18
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.433788
Coefficient of variation (CV)0.52191451
Kurtosis0.32735772
Mean8.4952381
Median Absolute Deviation (MAD)2.4
Skewness1.0053102
Sum178.4
Variance19.658476
MonotonicityNot monotonic
2023-12-13T03:40:54.655531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
7.4 3
 
5.7%
8.0 2
 
3.8%
7.8 2
 
3.8%
18.0 2
 
3.8%
3.0 2
 
3.8%
6.0 2
 
3.8%
4.0 2
 
3.8%
7.6 1
 
1.9%
14.0 1
 
1.9%
10.0 1
 
1.9%
Other values (3) 3
 
5.7%
(Missing) 32
60.4%
ValueCountFrequency (%)
3.0 2
3.8%
4.0 2
3.8%
5.0 1
 
1.9%
6.0 2
3.8%
7.4 3
5.7%
7.6 1
 
1.9%
7.8 2
3.8%
8.0 2
3.8%
10.0 1
 
1.9%
11.0 1
 
1.9%
ValueCountFrequency (%)
18.0 2
3.8%
15.0 1
 
1.9%
14.0 1
 
1.9%
11.0 1
 
1.9%
10.0 1
 
1.9%
8.0 2
3.8%
7.8 2
3.8%
7.6 1
 
1.9%
7.4 3
5.7%
6.0 2
3.8%

2011_최소
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)53.8%
Missing27
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.3807692
Minimum0.2
Maximum7.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:54.839504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.425
Q11
median2
Q36.7
95-th percentile7
Maximum7.1
Range6.9
Interquartile range (IQR)5.7

Descriptive statistics

Standard deviation2.6884969
Coefficient of variation (CV)0.79523229
Kurtosis-1.6596029
Mean3.3807692
Median Absolute Deviation (MAD)1.5
Skewness0.42566956
Sum87.9
Variance7.2280154
MonotonicityNot monotonic
2023-12-13T03:40:55.031573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2.0 7
 
13.2%
1.0 3
 
5.7%
6.8 2
 
3.8%
6.7 2
 
3.8%
7.0 2
 
3.8%
0.5 2
 
3.8%
7.1 1
 
1.9%
6.5 1
 
1.9%
6.9 1
 
1.9%
3.0 1
 
1.9%
Other values (4) 4
 
7.5%
(Missing) 27
50.9%
ValueCountFrequency (%)
0.2 1
 
1.9%
0.4 1
 
1.9%
0.5 2
 
3.8%
0.8 1
 
1.9%
1.0 3
5.7%
2.0 7
13.2%
3.0 1
 
1.9%
4.0 1
 
1.9%
6.5 1
 
1.9%
6.7 2
 
3.8%
ValueCountFrequency (%)
7.1 1
 
1.9%
7.0 2
 
3.8%
6.9 1
 
1.9%
6.8 2
 
3.8%
6.7 2
 
3.8%
6.5 1
 
1.9%
4.0 1
 
1.9%
3.0 1
 
1.9%
2.0 7
13.2%
1.0 3
5.7%

2011_최대
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)66.7%
Missing26
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean9.0814815
Minimum4
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:55.225587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q16
median7.6
Q39.7
95-th percentile20.7
Maximum22
Range18
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation5.2716248
Coefficient of variation (CV)0.58048071
Kurtosis1.3384176
Mean9.0814815
Median Absolute Deviation (MAD)1.6
Skewness1.5424782
Sum245.2
Variance27.790028
MonotonicityNot monotonic
2023-12-13T03:40:55.443063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4.0 3
 
5.7%
6.0 3
 
5.7%
5.0 3
 
5.7%
7.6 2
 
3.8%
11.0 2
 
3.8%
7.8 2
 
3.8%
6.9 1
 
1.9%
8.4 1
 
1.9%
7.9 1
 
1.9%
7.7 1
 
1.9%
Other values (8) 8
 
15.1%
(Missing) 26
49.1%
ValueCountFrequency (%)
4.0 3
5.7%
5.0 3
5.7%
6.0 3
5.7%
6.9 1
 
1.9%
7.0 1
 
1.9%
7.5 1
 
1.9%
7.6 2
3.8%
7.7 1
 
1.9%
7.8 2
3.8%
7.9 1
 
1.9%
ValueCountFrequency (%)
22.0 1
1.9%
21.0 1
1.9%
20.0 1
1.9%
19.0 1
1.9%
12.0 1
1.9%
11.0 2
3.8%
8.4 1
1.9%
8.0 1
1.9%
7.9 1
1.9%
7.8 2
3.8%

2012_최소
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)60.0%
Missing23
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean3.55
Minimum0.2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:55.753150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.445
Q11
median2.55
Q36.65
95-th percentile7.21
Maximum8
Range7.8
Interquartile range (IQR)5.65

Descriptive statistics

Standard deviation2.7503918
Coefficient of variation (CV)0.77475826
Kurtosis-1.6890874
Mean3.55
Median Absolute Deviation (MAD)1.85
Skewness0.30845289
Sum106.5
Variance7.5646552
MonotonicityNot monotonic
2023-12-13T03:40:55.962108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
6.8 4
 
7.5%
1.0 4
 
7.5%
2.0 3
 
5.7%
3.0 2
 
3.8%
0.7 2
 
3.8%
6.5 2
 
3.8%
4.0 2
 
3.8%
7.3 1
 
1.9%
6.4 1
 
1.9%
6.7 1
 
1.9%
Other values (8) 8
 
15.1%
(Missing) 23
43.4%
ValueCountFrequency (%)
0.2 1
 
1.9%
0.4 1
 
1.9%
0.5 1
 
1.9%
0.7 2
3.8%
0.8 1
 
1.9%
1.0 4
7.5%
1.4 1
 
1.9%
2.0 3
5.7%
2.1 1
 
1.9%
3.0 2
3.8%
ValueCountFrequency (%)
8.0 1
 
1.9%
7.3 1
 
1.9%
7.1 1
 
1.9%
6.8 4
7.5%
6.7 1
 
1.9%
6.5 2
3.8%
6.4 1
 
1.9%
4.0 2
3.8%
3.0 2
3.8%
2.1 1
 
1.9%

2012_최대
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)63.3%
Missing23
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean8.6133333
Minimum3
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:56.280015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.835
Q15.25
median7.8
Q39.75
95-th percentile16.3
Maximum30
Range27
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation5.2348786
Coefficient of variation (CV)0.60776454
Kurtosis9.3717816
Mean8.6133333
Median Absolute Deviation (MAD)2.2
Skewness2.6761244
Sum258.4
Variance27.403954
MonotonicityNot monotonic
2023-12-13T03:40:56.513270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
5.0 4
 
7.5%
7.8 4
 
7.5%
10.0 3
 
5.7%
6.0 2
 
3.8%
4.0 2
 
3.8%
13.0 2
 
3.8%
30.0 1
 
1.9%
9.0 1
 
1.9%
7.5 1
 
1.9%
19.0 1
 
1.9%
Other values (9) 9
 
17.0%
(Missing) 23
43.4%
ValueCountFrequency (%)
3.0 1
 
1.9%
3.7 1
 
1.9%
4.0 2
3.8%
5.0 4
7.5%
6.0 2
3.8%
7.1 1
 
1.9%
7.2 1
 
1.9%
7.5 1
 
1.9%
7.6 1
 
1.9%
7.8 4
7.5%
ValueCountFrequency (%)
30.0 1
 
1.9%
19.0 1
 
1.9%
13.0 2
3.8%
12.0 1
 
1.9%
10.0 3
5.7%
9.0 1
 
1.9%
8.6 1
 
1.9%
8.3 1
 
1.9%
8.2 1
 
1.9%
7.8 4
7.5%

2013_최소
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)39.4%
Missing20
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean3.3121212
Minimum0.2
Maximum7.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:56.736193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.26
Q11
median2
Q36.5
95-th percentile7.02
Maximum7.3
Range7.1
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation2.5805471
Coefficient of variation (CV)0.77912219
Kurtosis-1.5368005
Mean3.3121212
Median Absolute Deviation (MAD)1
Skewness0.44408879
Sum109.3
Variance6.6592235
MonotonicityNot monotonic
2023-12-13T03:40:56.965677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.0 9
17.0%
2.0 5
 
9.4%
3.0 4
 
7.5%
6.6 3
 
5.7%
6.9 2
 
3.8%
6.1 2
 
3.8%
0.2 2
 
3.8%
6.5 1
 
1.9%
7.2 1
 
1.9%
7.3 1
 
1.9%
Other values (3) 3
 
5.7%
(Missing) 20
37.7%
ValueCountFrequency (%)
0.2 2
 
3.8%
0.3 1
 
1.9%
1.0 9
17.0%
2.0 5
9.4%
3.0 4
7.5%
4.0 1
 
1.9%
6.1 2
 
3.8%
6.5 1
 
1.9%
6.6 3
 
5.7%
6.8 1
 
1.9%
ValueCountFrequency (%)
7.3 1
 
1.9%
7.2 1
 
1.9%
6.9 2
 
3.8%
6.8 1
 
1.9%
6.6 3
5.7%
6.5 1
 
1.9%
6.1 2
 
3.8%
4.0 1
 
1.9%
3.0 4
7.5%
2.0 5
9.4%

2013_최대
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)72.7%
Missing20
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean11.372727
Minimum1.2
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:57.209997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile2
Q17
median8.1
Q313
95-th percentile32
Maximum55
Range53.8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation11.02033
Coefficient of variation (CV)0.96901382
Kurtosis9.0225939
Mean11.372727
Median Absolute Deviation (MAD)2.9
Skewness2.8695155
Sum375.3
Variance121.44767
MonotonicityNot monotonic
2023-12-13T03:40:57.470859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8.0 2
 
3.8%
4.0 2
 
3.8%
14.0 2
 
3.8%
2.0 2
 
3.8%
17.0 2
 
3.8%
7.6 2
 
3.8%
10.0 2
 
3.8%
5.0 2
 
3.8%
7.0 2
 
3.8%
7.8 1
 
1.9%
Other values (14) 14
26.4%
(Missing) 20
37.7%
ValueCountFrequency (%)
1.2 1
1.9%
2.0 2
3.8%
4.0 2
3.8%
5.0 2
3.8%
6.0 1
1.9%
7.0 2
3.8%
7.4 1
1.9%
7.6 2
3.8%
7.8 1
1.9%
8.0 2
3.8%
ValueCountFrequency (%)
55.0 1
1.9%
44.0 1
1.9%
24.0 1
1.9%
17.0 2
3.8%
15.0 1
1.9%
14.0 2
3.8%
13.0 1
1.9%
11.0 1
1.9%
10.0 2
3.8%
8.6 1
1.9%

2014_평균
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)78.8%
Missing20
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean5.369697
Minimum0.5
Maximum12.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:57.739550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.28
Q13
median6.5
Q37.2
95-th percentile8.64
Maximum12.3
Range11.8
Interquartile range (IQR)4.2

Descriptive statistics

Standard deviation2.7218428
Coefficient of variation (CV)0.50688945
Kurtosis-0.23888632
Mean5.369697
Median Absolute Deviation (MAD)1.8
Skewness0.053386469
Sum177.2
Variance7.408428
MonotonicityNot monotonic
2023-12-13T03:40:58.006844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7.2 3
 
5.7%
7.6 2
 
3.8%
7.0 2
 
3.8%
3.0 2
 
3.8%
7.4 2
 
3.8%
6.6 2
 
3.8%
3.6 1
 
1.9%
1.8 1
 
1.9%
1.4 1
 
1.9%
4.2 1
 
1.9%
Other values (16) 16
30.2%
(Missing) 20
37.7%
ValueCountFrequency (%)
0.5 1
1.9%
1.1 1
1.9%
1.4 1
1.9%
1.6 1
1.9%
1.8 1
1.9%
2.1 1
1.9%
2.6 1
1.9%
3.0 2
3.8%
3.6 1
1.9%
3.7 1
1.9%
ValueCountFrequency (%)
12.3 1
 
1.9%
8.7 1
 
1.9%
8.6 1
 
1.9%
7.6 2
3.8%
7.4 2
3.8%
7.3 1
 
1.9%
7.2 3
5.7%
7.0 2
3.8%
6.8 1
 
1.9%
6.6 2
3.8%

2015_평균
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)78.8%
Missing20
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean5.8575758
Minimum1.1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:58.261313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.76
Q12.4
median5.7
Q37.2
95-th percentile9.02
Maximum30
Range28.9
Interquartile range (IQR)4.8

Descriptive statistics

Standard deviation5.0076211
Coefficient of variation (CV)0.85489651
Kurtosis17.244964
Mean5.8575758
Median Absolute Deviation (MAD)1.9
Skewness3.5968943
Sum193.3
Variance25.076269
MonotonicityNot monotonic
2023-12-13T03:40:58.538830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7.2 3
 
5.7%
7.5 2
 
3.8%
7.1 2
 
3.8%
2.4 2
 
3.8%
1.8 2
 
3.8%
6.9 2
 
3.8%
3.7 1
 
1.9%
1.1 1
 
1.9%
1.9 1
 
1.9%
3.5 1
 
1.9%
Other values (16) 16
30.2%
(Missing) 20
37.7%
ValueCountFrequency (%)
1.1 1
1.9%
1.7 1
1.9%
1.8 2
3.8%
1.9 1
1.9%
2.1 1
1.9%
2.2 1
1.9%
2.3 1
1.9%
2.4 2
3.8%
3.5 1
1.9%
3.7 1
1.9%
ValueCountFrequency (%)
30.0 1
 
1.9%
10.4 1
 
1.9%
8.1 1
 
1.9%
7.9 1
 
1.9%
7.6 1
 
1.9%
7.5 2
3.8%
7.2 3
5.7%
7.1 2
3.8%
6.9 2
3.8%
6.8 1
 
1.9%

2016_평균
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)78.8%
Missing20
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean5.4212121
Minimum1.2
Maximum9.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:58.823341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile1.7
Q12.9
median5.8
Q37.4
95-th percentile8.74
Maximum9.2
Range8
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation2.4657349
Coefficient of variation (CV)0.45483092
Kurtosis-1.3353867
Mean5.4212121
Median Absolute Deviation (MAD)1.8
Skewness-0.23811543
Sum178.9
Variance6.0798485
MonotonicityNot monotonic
2023-12-13T03:40:59.121380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2.9 3
 
5.7%
2.0 2
 
3.8%
4.7 2
 
3.8%
7.5 2
 
3.8%
7.0 2
 
3.8%
7.4 2
 
3.8%
6.7 1
 
1.9%
1.4 1
 
1.9%
1.2 1
 
1.9%
3.3 1
 
1.9%
Other values (16) 16
30.2%
(Missing) 20
37.7%
ValueCountFrequency (%)
1.2 1
 
1.9%
1.4 1
 
1.9%
1.9 1
 
1.9%
2.0 2
3.8%
2.8 1
 
1.9%
2.9 3
5.7%
3.3 1
 
1.9%
3.5 1
 
1.9%
4.3 1
 
1.9%
4.7 2
3.8%
ValueCountFrequency (%)
9.2 1
1.9%
8.8 1
1.9%
8.7 1
1.9%
8.6 1
1.9%
7.9 1
1.9%
7.6 1
1.9%
7.5 2
3.8%
7.4 2
3.8%
7.3 1
1.9%
7.2 1
1.9%

2017_평균
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)77.8%
Missing17
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean5.7861111
Minimum1
Maximum23.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:59.402821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.275
Q13.3
median6.25
Q37.325
95-th percentile8.65
Maximum23.6
Range22.6
Interquartile range (IQR)4.025

Descriptive statistics

Standard deviation3.9104368
Coefficient of variation (CV)0.67583161
Kurtosis11.752582
Mean5.7861111
Median Absolute Deviation (MAD)1.6
Skewness2.6141827
Sum208.3
Variance15.291516
MonotonicityNot monotonic
2023-12-13T03:40:59.663181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7.2 4
 
7.5%
6.9 3
 
5.7%
7.5 2
 
3.8%
7.8 2
 
3.8%
3.3 2
 
3.8%
7.0 1
 
1.9%
7.3 1
 
1.9%
1.6 1
 
1.9%
2.3 1
 
1.9%
1.3 1
 
1.9%
Other values (18) 18
34.0%
(Missing) 17
32.1%
ValueCountFrequency (%)
1.0 1
1.9%
1.2 1
1.9%
1.3 1
1.9%
1.5 1
1.9%
1.6 1
1.9%
2.2 1
1.9%
2.3 1
1.9%
2.9 1
1.9%
3.3 2
3.8%
3.4 1
1.9%
ValueCountFrequency (%)
23.6 1
 
1.9%
9.7 1
 
1.9%
8.3 1
 
1.9%
7.8 2
3.8%
7.6 1
 
1.9%
7.5 2
3.8%
7.4 1
 
1.9%
7.3 1
 
1.9%
7.2 4
7.5%
7.0 1
 
1.9%

2018_평균
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)75.0%
Missing17
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean5.0305556
Minimum0.2
Maximum13.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:40:59.896812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1
Q12.375
median4.45
Q37.4
95-th percentile9.075
Maximum13.6
Range13.4
Interquartile range (IQR)5.025

Descriptive statistics

Standard deviation3.1774041
Coefficient of variation (CV)0.63162091
Kurtosis-0.1427252
Mean5.0305556
Median Absolute Deviation (MAD)2.85
Skewness0.47070167
Sum181.1
Variance10.095897
MonotonicityNot monotonic
2023-12-13T03:41:00.128235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
7.4 4
 
7.5%
4.0 2
 
3.8%
1.4 2
 
3.8%
1.0 2
 
3.8%
2.9 2
 
3.8%
7.2 2
 
3.8%
7.0 2
 
3.8%
7.3 1
 
1.9%
13.6 1
 
1.9%
1.6 1
 
1.9%
Other values (17) 17
32.1%
(Missing) 17
32.1%
ValueCountFrequency (%)
0.2 1
1.9%
1.0 2
3.8%
1.2 1
1.9%
1.4 2
3.8%
1.5 1
1.9%
1.6 1
1.9%
2.3 1
1.9%
2.4 1
1.9%
2.7 1
1.9%
2.9 2
3.8%
ValueCountFrequency (%)
13.6 1
 
1.9%
11.1 1
 
1.9%
8.4 1
 
1.9%
7.9 1
 
1.9%
7.7 1
 
1.9%
7.6 1
 
1.9%
7.4 4
7.5%
7.3 1
 
1.9%
7.2 2
3.8%
7.1 1
 
1.9%

2019_평균
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)75.0%
Missing17
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean4.875
Minimum0.7
Maximum11.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:41:00.363663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile0.875
Q12.15
median4.75
Q37.325
95-th percentile7.925
Maximum11.7
Range11
Interquartile range (IQR)5.175

Descriptive statistics

Standard deviation2.8280609
Coefficient of variation (CV)0.58011506
Kurtosis-0.93111058
Mean4.875
Median Absolute Deviation (MAD)2.6
Skewness0.12385405
Sum175.5
Variance7.9979286
MonotonicityNot monotonic
2023-12-13T03:41:00.590907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
7.5 3
 
5.7%
7.2 2
 
3.8%
6.7 2
 
3.8%
2.2 2
 
3.8%
3.6 2
 
3.8%
1.5 2
 
3.8%
7.4 2
 
3.8%
6.8 2
 
3.8%
0.7 1
 
1.9%
0.8 1
 
1.9%
Other values (17) 17
32.1%
(Missing) 17
32.1%
ValueCountFrequency (%)
0.7 1
1.9%
0.8 1
1.9%
0.9 1
1.9%
1.4 1
1.9%
1.5 2
3.8%
1.6 1
1.9%
1.8 1
1.9%
2.0 1
1.9%
2.2 2
3.8%
3.0 1
1.9%
ValueCountFrequency (%)
11.7 1
 
1.9%
8.0 1
 
1.9%
7.9 1
 
1.9%
7.6 1
 
1.9%
7.5 3
5.7%
7.4 2
3.8%
7.3 1
 
1.9%
7.2 2
3.8%
6.9 1
 
1.9%
6.8 2
3.8%

2020_평균
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)72.2%
Missing17
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean4.7486111
Minimum0
Maximum13.3
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:41:00.836269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12.375
median3.95
Q37.4
95-th percentile7.7
Maximum13.3
Range13.3
Interquartile range (IQR)5.025

Descriptive statistics

Standard deviation2.9806396
Coefficient of variation (CV)0.6276866
Kurtosis0.033622113
Mean4.7486111
Median Absolute Deviation (MAD)2.75
Skewness0.50109723
Sum170.95
Variance8.8842123
MonotonicityNot monotonic
2023-12-13T03:41:01.100215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.4 3
 
5.7%
7.5 3
 
5.7%
7.7 3
 
5.7%
1.0 2
 
3.8%
3.3 2
 
3.8%
2.8 2
 
3.8%
7.4 2
 
3.8%
7.1 1
 
1.9%
6.9 1
 
1.9%
1.5 1
 
1.9%
Other values (16) 16
30.2%
(Missing) 17
32.1%
ValueCountFrequency (%)
0.0 1
 
1.9%
1.0 2
3.8%
1.4 3
5.7%
1.5 1
 
1.9%
1.6 1
 
1.9%
2.3 1
 
1.9%
2.4 1
 
1.9%
2.6 1
 
1.9%
2.8 2
3.8%
3.2 1
 
1.9%
ValueCountFrequency (%)
13.3 1
 
1.9%
7.7 3
5.7%
7.6 1
 
1.9%
7.5 3
5.7%
7.4 2
3.8%
7.3 1
 
1.9%
7.2 1
 
1.9%
7.15 1
 
1.9%
7.1 1
 
1.9%
6.9 1
 
1.9%

2021_평균
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)72.2%
Missing17
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean4.2452778
Minimum0
Maximum9.2
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:41:01.336505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6125
Q11.925
median3.55
Q37.4
95-th percentile7.6
Maximum9.2
Range9.2
Interquartile range (IQR)5.475

Descriptive statistics

Standard deviation2.7668863
Coefficient of variation (CV)0.65175625
Kurtosis-1.4752158
Mean4.2452778
Median Absolute Deviation (MAD)2.45
Skewness0.17482828
Sum152.83
Variance7.6556599
MonotonicityNot monotonic
2023-12-13T03:41:01.518802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7.4 4
 
7.5%
7.6 4
 
7.5%
1.1 2
 
3.8%
3.0 2
 
3.8%
3.1 2
 
3.8%
7.2 2
 
3.8%
6.8 1
 
1.9%
2.45 1
 
1.9%
0.0 1
 
1.9%
0.7 1
 
1.9%
Other values (16) 16
30.2%
(Missing) 17
32.1%
ValueCountFrequency (%)
0.0 1
1.9%
0.35 1
1.9%
0.7 1
1.9%
0.95 1
1.9%
1.1 2
3.8%
1.2 1
1.9%
1.5 1
1.9%
1.7 1
1.9%
2.0 1
1.9%
2.1 1
1.9%
ValueCountFrequency (%)
9.2 1
 
1.9%
7.6 4
7.5%
7.58 1
 
1.9%
7.4 4
7.5%
7.2 2
3.8%
6.8 1
 
1.9%
5.4 1
 
1.9%
4.3 1
 
1.9%
4.2 1
 
1.9%
3.9 1
 
1.9%

Sample

구 분지사배출허용기준단위2009_최소2009_최대2010_최소2010_최대2011_최소2011_최대2012_최소2012_최대2013_최소2013_최대2014_평균2015_평균2016_평균2017_평균2018_평균2019_평균2020_평균2021_평균
0pH강남5.8～8.6pH6.97.57.08.07.17.87.17.86.67.47.27.27.57.27.67.57.57.6
1pH대구5.8～8.6pH6.87.66.87.86.87.76.57.66.97.67.06.77.26.97.47.47.157.2
2pH수원5.8～8.6pH6.77.66.87.46.77.56.87.86.18.67.67.57.67.27.47.47.77.4
3pH청주5.8～8.6pH7.07.57.27.66.57.66.57.56.58.57.26.97.47.07.27.27.17.2
4pH양산5.8～8.6pH6.97.56.87.46.86.96.87.86.97.07.06.97.06.97.06.87.76.8
5pH용인5.8～8.6pH6.97.76.28.06.78.47.38.67.28.37.47.57.47.47.46.77.57.4
6pH화성5.8～8.6pH6.57.87.07.87.07.96.47.26.68.27.37.67.07.67.27.57.47.58
7pH파주5.8～8.6pH<NA><NA><NA><NA>7.07.86.77.16.68.16.88.16.77.27.97.67.67.6
8pH판교5.8～8.6pH<NA><NA><NA><NA>6.97.66.88.37.38.07.27.27.97.57.47.57.77.4
9pH삼송5.8～8.6pH<NA><NA><NA><NA><NA><NA>6.88.26.17.67.46.87.37.27.06.97.57.6
구 분지사배출허용기준단위2009_최소2009_최대2010_최소2010_최대2011_최소2011_최대2012_최소2012_최대2013_최소2013_최대2014_평균2015_평균2016_평균2017_평균2018_평균2019_평균2020_평균2021_평균
43<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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52<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

구 분지사배출허용기준단위2009_최소2009_최대2010_최소2010_최대2011_최소2011_최대2012_최소2012_최대2013_최소2013_최대2014_평균2015_평균2016_평균2017_평균2018_평균2019_평균2020_평균2021_평균# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17