Overview

Dataset statistics

Number of variables24
Number of observations122
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.8 KiB
Average record size in memory208.1 B

Variable types

Categorical15
Numeric9

Dataset

Description종량제 봉투 가격 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=068TWVSS5T7G3375J2DV25973193&infSeq=1

Alerts

시도명 has constant value ""Constant
120ℓ가격 has constant value ""Constant
125ℓ가격 has constant value ""Constant
종량제봉투사용대상 is highly imbalanced (56.3%)Imbalance
1.5ℓ가격 is highly imbalanced (82.3%)Imbalance
2.5ℓ가격 is highly imbalanced (85.2%)Imbalance
60ℓ가격 is highly imbalanced (93.1%)Imbalance
100ℓ가격 is highly imbalanced (83.8%)Imbalance
1ℓ가격 has 97 (79.5%) zerosZeros
2ℓ가격 has 103 (84.4%) zerosZeros
3ℓ가격 has 84 (68.9%) zerosZeros
5ℓ가격 has 47 (38.5%) zerosZeros
10ℓ가격 has 24 (19.7%) zerosZeros
20ℓ가격 has 14 (11.5%) zerosZeros
30ℓ가격 has 109 (89.3%) zerosZeros
50ℓ가격 has 61 (50.0%) zerosZeros
75ℓ가격 has 76 (62.3%) zerosZeros

Reproduction

Analysis started2024-05-03 19:27:35.014504
Analysis finished2024-05-03 19:27:35.314125
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
경기도
122 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 122
100.0%

Length

2024-05-03T19:27:35.522543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:27:35.826731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 122
100.0%

시군구명
Categorical

Distinct31
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
안양시
15 
시흥시
9 
화성시
 
6
의정부시
 
6
김포시
 
5
Other values (26)
81 

Length

Max length4
Median length3
Mean length3.0819672
Min length3

Unique

Unique4 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
안양시 15
 
12.3%
시흥시 9
 
7.4%
화성시 6
 
4.9%
의정부시 6
 
4.9%
김포시 5
 
4.1%
성남시 5
 
4.1%
부천시 5
 
4.1%
가평군 5
 
4.1%
군포시 5
 
4.1%
의왕시 4
 
3.3%
Other values (21) 57
46.7%

Length

2024-05-03T19:27:36.133507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안양시 15
 
12.3%
시흥시 9
 
7.4%
화성시 6
 
4.9%
의정부시 6
 
4.9%
김포시 5
 
4.1%
성남시 5
 
4.1%
부천시 5
 
4.1%
가평군 5
 
4.1%
군포시 5
 
4.1%
양평군 4
 
3.3%
Other values (21) 57
46.7%

종량제봉투종류
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
규격봉투
82 
재사용규격봉투
20 
특수규격마대
20 

Length

Max length7
Median length4
Mean length4.8196721
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row규격봉투
2nd row규격봉투
3rd row규격봉투
4th row재사용규격봉투
5th row특수규격마대

Common Values

ValueCountFrequency (%)
규격봉투 82
67.2%
재사용규격봉투 20
 
16.4%
특수규격마대 20
 
16.4%

Length

2024-05-03T19:27:36.520225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:27:36.841394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
규격봉투 82
67.2%
재사용규격봉투 20
 
16.4%
특수규격마대 20
 
16.4%

종량제봉투처리방식
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
소각용
76 
매립용
35 
기타
9 
소각용+매립용
 
2

Length

Max length7
Median length3
Mean length2.9918033
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소각용 76
62.3%
매립용 35
28.7%
기타 9
 
7.4%
소각용+매립용 2
 
1.6%

Length

2024-05-03T19:27:37.275592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:27:37.605453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소각용 76
62.3%
매립용 35
28.7%
기타 9
 
7.4%
소각용+매립용 2
 
1.6%

종량제봉투용도
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
생활쓰레기
93 
음식물쓰레기
29 

Length

Max length6
Median length5
Mean length5.2377049
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생활쓰레기
2nd row생활쓰레기
3rd row음식물쓰레기
4th row생활쓰레기
5th row생활쓰레기

Common Values

ValueCountFrequency (%)
생활쓰레기 93
76.2%
음식물쓰레기 29
 
23.8%

Length

2024-05-03T19:27:37.818770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:27:38.004637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활쓰레기 93
76.2%
음식물쓰레기 29
 
23.8%

종량제봉투사용대상
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
가정용
101 
기타
 
10
사업장용
 
10
소규모배출사업장 전용
 
1

Length

Max length11
Median length3
Mean length3.0655738
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
가정용 101
82.8%
기타 10
 
8.2%
사업장용 10
 
8.2%
소규모배출사업장 전용 1
 
0.8%

Length

2024-05-03T19:27:38.214498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:27:38.473343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정용 101
82.1%
기타 10
 
8.1%
사업장용 10
 
8.1%
소규모배출사업장 1
 
0.8%
전용 1
 
0.8%

1ℓ가격
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.442623
Minimum0
Maximum60
Zeros97
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-03T19:27:38.702658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile50
Maximum60
Range60
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.297613
Coefficient of variation (CV)2.0488435
Kurtosis1.3614869
Mean8.442623
Median Absolute Deviation (MAD)0
Skewness1.7250791
Sum1030
Variance299.20742
MonotonicityNot monotonic
2024-05-03T19:27:38.907475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 97
79.5%
40 9
 
7.4%
50 7
 
5.7%
30 6
 
4.9%
60 2
 
1.6%
20 1
 
0.8%
ValueCountFrequency (%)
0 97
79.5%
20 1
 
0.8%
30 6
 
4.9%
40 9
 
7.4%
50 7
 
5.7%
60 2
 
1.6%
ValueCountFrequency (%)
60 2
 
1.6%
50 7
 
5.7%
40 9
 
7.4%
30 6
 
4.9%
20 1
 
0.8%
0 97
79.5%

1.5ℓ가격
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
116 
50
 
3
40
 
2
70
 
1

Length

Max length2
Median length1
Mean length1.0491803
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 116
95.1%
50 3
 
2.5%
40 2
 
1.6%
70 1
 
0.8%

Length

2024-05-03T19:27:39.211472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:27:39.455691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 116
95.1%
50 3
 
2.5%
40 2
 
1.6%
70 1
 
0.8%

2ℓ가격
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.147541
Minimum0
Maximum100
Zeros103
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-03T19:27:39.788182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.03523
Coefficient of variation (CV)2.4252192
Kurtosis3.5793456
Mean11.147541
Median Absolute Deviation (MAD)0
Skewness2.228673
Sum1360
Variance730.90367
MonotonicityNot monotonic
2024-05-03T19:27:40.001359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 103
84.4%
60 8
 
6.6%
100 4
 
3.3%
50 3
 
2.5%
80 3
 
2.5%
90 1
 
0.8%
ValueCountFrequency (%)
0 103
84.4%
50 3
 
2.5%
60 8
 
6.6%
80 3
 
2.5%
90 1
 
0.8%
100 4
 
3.3%
ValueCountFrequency (%)
100 4
 
3.3%
90 1
 
0.8%
80 3
 
2.5%
60 8
 
6.6%
50 3
 
2.5%
0 103
84.4%

2.5ℓ가격
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
118 
80
 
3
110
 
1

Length

Max length3
Median length1
Mean length1.0409836
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 118
96.7%
80 3
 
2.5%
110 1
 
0.8%

Length

2024-05-03T19:27:40.295100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:27:40.519769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 118
96.7%
80 3
 
2.5%
110 1
 
0.8%

3ℓ가격
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.868852
Minimum0
Maximum180
Zeros84
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-03T19:27:40.761660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q380
95-th percentile130
Maximum180
Range180
Interquartile range (IQR)80

Descriptive statistics

Standard deviation51.385426
Coefficient of variation (CV)1.5633471
Kurtosis-0.24882254
Mean32.868852
Median Absolute Deviation (MAD)0
Skewness1.1317826
Sum4010
Variance2640.462
MonotonicityNot monotonic
2024-05-03T19:27:41.205427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 84
68.9%
90 9
 
7.4%
110 7
 
5.7%
70 5
 
4.1%
120 4
 
3.3%
80 4
 
3.3%
140 2
 
1.6%
150 2
 
1.6%
130 2
 
1.6%
100 1
 
0.8%
Other values (2) 2
 
1.6%
ValueCountFrequency (%)
0 84
68.9%
70 5
 
4.1%
80 4
 
3.3%
90 9
 
7.4%
100 1
 
0.8%
110 7
 
5.7%
120 4
 
3.3%
130 2
 
1.6%
140 2
 
1.6%
150 2
 
1.6%
ValueCountFrequency (%)
180 1
 
0.8%
160 1
 
0.8%
150 2
 
1.6%
140 2
 
1.6%
130 2
 
1.6%
120 4
3.3%
110 7
5.7%
100 1
 
0.8%
90 9
7.4%
80 4
3.3%

5ℓ가격
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.29508
Minimum0
Maximum340
Zeros47
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-03T19:27:41.699505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median130
Q3165
95-th percentile220
Maximum340
Range340
Interquartile range (IQR)165

Descriptive statistics

Standard deviation87.69582
Coefficient of variation (CV)0.85728286
Kurtosis-1.1107918
Mean102.29508
Median Absolute Deviation (MAD)70
Skewness0.04429412
Sum12480
Variance7690.5568
MonotonicityNot monotonic
2024-05-03T19:27:42.187167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 47
38.5%
150 19
15.6%
130 10
 
8.2%
140 9
 
7.4%
180 8
 
6.6%
120 6
 
4.9%
170 6
 
4.9%
220 6
 
4.9%
200 4
 
3.3%
190 2
 
1.6%
Other values (5) 5
 
4.1%
ValueCountFrequency (%)
0 47
38.5%
120 6
 
4.9%
130 10
 
8.2%
140 9
 
7.4%
150 19
15.6%
170 6
 
4.9%
180 8
 
6.6%
190 2
 
1.6%
200 4
 
3.3%
220 6
 
4.9%
ValueCountFrequency (%)
340 1
 
0.8%
290 1
 
0.8%
270 1
 
0.8%
250 1
 
0.8%
240 1
 
0.8%
220 6
4.9%
200 4
3.3%
190 2
 
1.6%
180 8
6.6%
170 6
4.9%

10ℓ가격
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean288.85246
Minimum0
Maximum2000
Zeros24
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-03T19:27:42.624621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1250
median300
Q3350
95-th percentile548.5
Maximum2000
Range2000
Interquartile range (IQR)100

Descriptive statistics

Standard deviation235.40434
Coefficient of variation (CV)0.81496393
Kurtosis22.86259
Mean288.85246
Median Absolute Deviation (MAD)50
Skewness3.3573599
Sum35240
Variance55415.201
MonotonicityNot monotonic
2024-05-03T19:27:43.088994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
300 28
23.0%
0 24
19.7%
250 10
 
8.2%
280 7
 
5.7%
330 7
 
5.7%
230 6
 
4.9%
350 6
 
4.9%
260 5
 
4.1%
360 4
 
3.3%
390 3
 
2.5%
Other values (16) 22
18.0%
ValueCountFrequency (%)
0 24
19.7%
230 6
 
4.9%
250 10
 
8.2%
260 5
 
4.1%
280 7
 
5.7%
290 2
 
1.6%
300 28
23.0%
330 7
 
5.7%
350 6
 
4.9%
360 4
 
3.3%
ValueCountFrequency (%)
2000 1
0.8%
1000 1
0.8%
800 1
0.8%
790 1
0.8%
660 1
0.8%
580 1
0.8%
550 1
0.8%
520 2
1.6%
500 2
1.6%
490 1
0.8%

20ℓ가격
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean720.16393
Minimum0
Maximum4000
Zeros14
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-03T19:27:43.476764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1500
median600
Q3775
95-th percentile1980
Maximum4000
Range4000
Interquartile range (IQR)275

Descriptive statistics

Standard deviation568.08506
Coefficient of variation (CV)0.78882742
Kurtosis10.754883
Mean720.16393
Median Absolute Deviation (MAD)100
Skewness2.6165328
Sum87860
Variance322720.63
MonotonicityNot monotonic
2024-05-03T19:27:43.925494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
600 14
 
11.5%
0 14
 
11.5%
550 14
 
11.5%
500 10
 
8.2%
560 10
 
8.2%
660 6
 
4.9%
1000 6
 
4.9%
700 4
 
3.3%
800 4
 
3.3%
2000 4
 
3.3%
Other values (22) 36
29.5%
ValueCountFrequency (%)
0 14
11.5%
440 3
 
2.5%
460 3
 
2.5%
480 2
 
1.6%
500 10
8.2%
510 1
 
0.8%
550 14
11.5%
560 10
8.2%
600 14
11.5%
640 1
 
0.8%
ValueCountFrequency (%)
4000 1
 
0.8%
3000 1
 
0.8%
2280 1
 
0.8%
2000 4
3.3%
1600 2
1.6%
1550 1
 
0.8%
1500 2
1.6%
1200 2
1.6%
1170 1
 
0.8%
1100 1
 
0.8%

30ℓ가격
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.37705
Minimum0
Maximum1570
Zeros109
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-03T19:27:44.297840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile900
Maximum1570
Range1570
Interquartile range (IQR)0

Descriptive statistics

Standard deviation356.26576
Coefficient of variation (CV)3.0352251
Kurtosis7.9764435
Mean117.37705
Median Absolute Deviation (MAD)0
Skewness2.9988621
Sum14320
Variance126925.29
MonotonicityNot monotonic
2024-05-03T19:27:44.670792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 109
89.3%
840 4
 
3.3%
900 2
 
1.6%
1500 2
 
1.6%
1570 2
 
1.6%
1110 1
 
0.8%
720 1
 
0.8%
1190 1
 
0.8%
ValueCountFrequency (%)
0 109
89.3%
720 1
 
0.8%
840 4
 
3.3%
900 2
 
1.6%
1110 1
 
0.8%
1190 1
 
0.8%
1500 2
 
1.6%
1570 2
 
1.6%
ValueCountFrequency (%)
1570 2
 
1.6%
1500 2
 
1.6%
1190 1
 
0.8%
1110 1
 
0.8%
900 2
 
1.6%
840 4
 
3.3%
720 1
 
0.8%
0 109
89.3%

50ℓ가격
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean927.62295
Minimum0
Maximum5000
Zeros61
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-03T19:27:45.107399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median550
Q31500
95-th percentile2695.5
Maximum5000
Range5000
Interquartile range (IQR)1500

Descriptive statistics

Standard deviation1103.7135
Coefficient of variation (CV)1.1898299
Kurtosis1.7974316
Mean927.62295
Median Absolute Deviation (MAD)550
Skewness1.2234899
Sum113170
Variance1218183.6
MonotonicityNot monotonic
2024-05-03T19:27:45.549781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 61
50.0%
1400 10
 
8.2%
1500 7
 
5.7%
1250 4
 
3.3%
1800 3
 
2.5%
1200 3
 
2.5%
1750 3
 
2.5%
1150 2
 
1.6%
5000 2
 
1.6%
1650 2
 
1.6%
Other values (21) 25
20.5%
ValueCountFrequency (%)
0 61
50.0%
1100 2
 
1.6%
1150 2
 
1.6%
1200 3
 
2.5%
1240 2
 
1.6%
1250 4
 
3.3%
1340 1
 
0.8%
1400 10
 
8.2%
1500 7
 
5.7%
1580 1
 
0.8%
ValueCountFrequency (%)
5000 2
1.6%
4000 1
0.8%
3600 1
0.8%
3200 1
0.8%
2820 1
0.8%
2700 1
0.8%
2610 2
1.6%
2530 1
0.8%
2500 1
0.8%
2400 1
0.8%

60ℓ가격
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
121 
4500
 
1

Length

Max length4
Median length1
Mean length1.0245902
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row4500

Common Values

ValueCountFrequency (%)
0 121
99.2%
4500 1
 
0.8%

Length

2024-05-03T19:27:45.923755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:27:46.391553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 121
99.2%
4500 1
 
0.8%

75ℓ가격
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1000
Minimum0
Maximum6000
Zeros76
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-03T19:27:46.684498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32100
95-th percentile3895
Maximum6000
Range6000
Interquartile range (IQR)2100

Descriptive statistics

Standard deviation1396.0837
Coefficient of variation (CV)1.3960837
Kurtosis0.27405866
Mean1000
Median Absolute Deviation (MAD)0
Skewness1.0845382
Sum122000
Variance1949049.6
MonotonicityNot monotonic
2024-05-03T19:27:47.003130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 76
62.3%
2100 9
 
7.4%
2250 6
 
4.9%
2700 3
 
2.5%
2630 3
 
2.5%
1880 2
 
1.6%
2000 2
 
1.6%
3920 2
 
1.6%
1860 2
 
1.6%
2050 1
 
0.8%
Other values (16) 16
 
13.1%
ValueCountFrequency (%)
0 76
62.3%
1650 1
 
0.8%
1850 1
 
0.8%
1860 2
 
1.6%
1880 2
 
1.6%
2000 2
 
1.6%
2050 1
 
0.8%
2100 9
 
7.4%
2250 6
 
4.9%
2360 1
 
0.8%
ValueCountFrequency (%)
6000 1
0.8%
4230 1
0.8%
4200 1
0.8%
4000 1
0.8%
3920 2
1.6%
3900 1
0.8%
3800 1
0.8%
3600 1
0.8%
3000 1
0.8%
2910 1
0.8%

100ℓ가격
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
116 
2470
 
2
2400
 
2
2300
 
1
3870
 
1

Length

Max length4
Median length1
Mean length1.147541
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 116
95.1%
2470 2
 
1.6%
2400 2
 
1.6%
2300 1
 
0.8%
3870 1
 
0.8%

Length

2024-05-03T19:27:47.451420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:27:47.748909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 116
95.1%
2470 2
 
1.6%
2400 2
 
1.6%
2300 1
 
0.8%
3870 1
 
0.8%

120ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
122 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 122
100.0%

Length

2024-05-03T19:27:48.066150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:27:48.366156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 122
100.0%

125ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
122 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 122
100.0%

Length

2024-05-03T19:27:48.703288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:27:49.001900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 122
100.0%

관리부서명
Categorical

Distinct14
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
자원순환과
75 
청소자원과
 
7
위생자원과
 
5
환경관리부
 
5
청소과
 
4
Other values (9)
26 

Length

Max length15
Median length5
Mean length6.0901639
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
자원순환과 75
61.5%
청소자원과 7
 
5.7%
위생자원과 5
 
4.1%
환경관리부 5
 
4.1%
청소과 4
 
3.3%
경기도 의왕시청 자원관리과 4
 
3.3%
경기도 포천시청 친환경정책과 4
 
3.3%
자원위생과 3
 
2.5%
경기도 동두천시청 환경보호과 3
 
2.5%
청소행정과 3
 
2.5%
Other values (4) 9
 
7.4%

Length

2024-05-03T19:27:49.308659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자원순환과 80
52.6%
경기도 14
 
9.2%
청소자원과 7
 
4.6%
환경보호과 6
 
3.9%
위생자원과 5
 
3.3%
환경관리부 5
 
3.3%
친환경정책과 4
 
2.6%
포천시청 4
 
2.6%
자원관리과 4
 
2.6%
의왕시청 4
 
2.6%
Other values (7) 19
 
12.5%

관리부서전화번호
Categorical

Distinct32
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
031-8045-5448
15 
031-828-2823
 
6
031-5189-6897
 
6
031-980-2765
 
5
031-488-6894
 
5
Other values (27)
85 

Length

Max length13
Median length12
Mean length12.270492
Min length12

Unique

Unique4 ?
Unique (%)3.3%

Sample

1st row031-580-2551
2nd row031-580-2551
3rd row031-580-2551
4th row031-580-2551
5th row031-580-2551

Common Values

ValueCountFrequency (%)
031-8045-5448 15
 
12.3%
031-828-2823 6
 
4.9%
031-5189-6897 6
 
4.9%
031-980-2765 5
 
4.1%
031-488-6894 5
 
4.1%
031-729-3196 5
 
4.1%
032-625-3204 5
 
4.1%
031-580-2551 5
 
4.1%
031-390-0353 5
 
4.1%
031-345-2844 4
 
3.3%
Other values (22) 61
50.0%

Length

2024-05-03T19:27:49.697132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-8045-5448 15
 
12.3%
031-5189-6897 6
 
4.9%
031-828-2823 6
 
4.9%
031-980-2765 5
 
4.1%
031-488-6894 5
 
4.1%
031-729-3196 5
 
4.1%
032-625-3204 5
 
4.1%
031-580-2551 5
 
4.1%
031-390-0353 5
 
4.1%
031-310-2254 4
 
3.3%
Other values (22) 61
50.0%

데이터기준일자
Categorical

Distinct31
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-06-19
15 
2023-06-26
 
7
2023-10-19
 
6
2023-03-02
 
6
2023-10-01
 
5
Other values (26)
83 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)3.3%

Sample

1st row2024-02-20
2nd row2024-02-20
3rd row2024-02-20
4th row2024-02-20
5th row2024-02-20

Common Values

ValueCountFrequency (%)
2023-06-19 15
 
12.3%
2023-06-26 7
 
5.7%
2023-10-19 6
 
4.9%
2023-03-02 6
 
4.9%
2023-10-01 5
 
4.1%
2023-09-07 5
 
4.1%
2024-01-09 5
 
4.1%
2024-02-20 5
 
4.1%
2023-01-20 5
 
4.1%
2023-11-17 5
 
4.1%
Other values (21) 58
47.5%

Length

2024-05-03T19:27:50.080156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-06-19 15
 
12.3%
2023-06-26 7
 
5.7%
2023-10-19 6
 
4.9%
2023-03-02 6
 
4.9%
2023-10-01 5
 
4.1%
2023-09-07 5
 
4.1%
2024-01-09 5
 
4.1%
2024-02-20 5
 
4.1%
2023-01-20 5
 
4.1%
2023-11-17 5
 
4.1%
Other values (21) 58
47.5%

Sample

시도명시군구명종량제봉투종류종량제봉투처리방식종량제봉투용도종량제봉투사용대상1ℓ가격1.5ℓ가격2ℓ가격2.5ℓ가격3ℓ가격5ℓ가격10ℓ가격20ℓ가격30ℓ가격50ℓ가격60ℓ가격75ℓ가격100ℓ가격120ℓ가격125ℓ가격관리부서명관리부서전화번호데이터기준일자
0경기도가평군규격봉투소각용생활쓰레기가정용0000003006000150002250000자원순환과031-580-25512024-02-20
1경기도가평군규격봉투매립용생활쓰레기가정용0000003006000150002250000자원순환과031-580-25512024-02-20
2경기도가평군규격봉투기타음식물쓰레기가정용300600901503006000000000자원순환과031-580-25512024-02-20
3경기도가평군재사용규격봉투매립용생활쓰레기가정용0000003006000000000자원순환과031-580-25512024-02-20
4경기도가평군특수규격마대기타생활쓰레기기타000000000045000000자원순환과031-580-25512024-02-20
5경기도고양시규격봉투소각용생활쓰레기가정용00001201803607100176002640000고양시 자원순환과031-8075-26852023-06-16
6경기도고양시규격봉투소각용음식물쓰레기가정용5009001201803607100000000고양시 자원순환과031-8075-26852023-06-16
7경기도과천시규격봉투소각용음식물쓰레기가정용300600701202304400110000000자원위생과02-3677-24162023-07-06
8경기도과천시규격봉투소각용생활쓰레기가정용0000002304400000000자원위생과02-3677-24162023-07-06
9경기도과천시규격봉투소각용생활쓰레기가정용00600701202304400110001650000자원위생과02-3677-24162023-07-06
시도명시군구명종량제봉투종류종량제봉투처리방식종량제봉투용도종량제봉투사용대상1ℓ가격1.5ℓ가격2ℓ가격2.5ℓ가격3ℓ가격5ℓ가격10ℓ가격20ℓ가격30ℓ가격50ℓ가격60ℓ가격75ℓ가격100ℓ가격120ℓ가격125ℓ가격관리부서명관리부서전화번호데이터기준일자
112경기도포천시규격봉투소각용생활쓰레기가정용00000140280560840140002100000경기도 포천시청 친환경정책과031-538-24652022-10-31
113경기도포천시재사용규격봉투소각용생활쓰레기가정용000000280560840000000경기도 포천시청 친환경정책과031-538-24652022-10-31
114경기도포천시특수규격마대매립용생활쓰레기가정용00000005600140000000경기도 포천시청 친환경정책과031-538-24652022-10-31
115경기도하남시규격봉투소각용생활쓰레기가정용0000801302605000124001860247000자원순환과031-790-52562023-06-27
116경기도화성시규격봉투매립용생활쓰레기가정용000001503006000150000000자원순환과031-5189-68972023-10-19
117경기도화성시규격봉투소각용생활쓰레기사업장용000000000253003800000자원순환과031-5189-68972023-10-19
118경기도화성시규격봉투기타음식물쓰레기가정용6000018029058011700000000자원순환과031-5189-68972023-10-19
119경기도화성시규격봉투소각용생활쓰레기가정용000001503006000150002250000자원순환과031-5189-68972023-10-19
120경기도화성시재사용규격봉투소각용생활쓰레기가정용000001503006000000000자원순환과031-5189-68972023-10-19
121경기도화성시특수규격마대기타생활쓰레기가정용000000022800000000자원순환과031-5189-68972023-10-19