Overview

Dataset statistics

Number of variables27
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory241.3 B

Variable types

Categorical19
Text2
Numeric5
DateTime1

Dataset

Description음식물 쓰레기 납부필증 가격 정보 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=7C74FZ79MMG0TOTCKBZB25962143&infSeq=1

Alerts

시도명 has constant value ""Constant
4ℓ가격 has constant value ""Constant
6ℓ가격 has constant value ""Constant
7ℓ가격 has constant value ""Constant
15ℓ가격 has constant value ""Constant
22ℓ가격 has constant value ""Constant
25ℓ가격 has constant value ""Constant
26ℓ가격 has constant value ""Constant
30ℓ가격 has constant value ""Constant
40ℓ가격 has constant value ""Constant
70ℓ가격 has constant value ""Constant
200ℓ가격 has constant value ""Constant
1ℓ가격 is highly imbalanced (69.6%)Imbalance
2ℓ가격 is highly imbalanced (64.0%)Imbalance
50ℓ가격 is highly imbalanced (75.8%)Imbalance
3ℓ가격 has 14 (56.0%) zerosZeros
5ℓ가격 has 14 (56.0%) zerosZeros
10ℓ가격 has 16 (64.0%) zerosZeros
20ℓ가격 has 13 (52.0%) zerosZeros
120ℓ가격 has 12 (48.0%) zerosZeros

Reproduction

Analysis started2024-05-10 21:00:26.777402
Analysis finished2024-05-10 21:00:27.172077
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
경기도
25 

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 25
100.0%

Length

2024-05-10T21:00:27.318567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:27.622900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 25
100.0%

시군구명
Text

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-10T21:00:27.924339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.08
Min length3

Characters and Unicode

Total characters77
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)56.0%

Sample

1st row하남시
2nd row의정부시
3rd row광주시
4th row안산시
5th row양주시
ValueCountFrequency (%)
군포시 4
16.0%
시흥시 3
 
12.0%
수원시 2
 
8.0%
김포시 2
 
8.0%
하남시 1
 
4.0%
포천시 1
 
4.0%
용인시 1
 
4.0%
파주시 1
 
4.0%
고양시 1
 
4.0%
여주시 1
 
4.0%
Other values (8) 8
32.0%
2024-05-10T21:00:28.653109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 27
35.1%
포 7
 
9.1%
군 5
 
6.5%
주 5
 
6.5%
흥 3
 
3.9%
남 3
 
3.9%
양 3
 
3.9%
수 2
 
2.6%
원 2
 
2.6%
김 2
 
2.6%
Other values (17) 18
23.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 27
35.1%
포 7
 
9.1%
군 5
 
6.5%
주 5
 
6.5%
흥 3
 
3.9%
남 3
 
3.9%
양 3
 
3.9%
수 2
 
2.6%
원 2
 
2.6%
김 2
 
2.6%
Other values (17) 18
23.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 27
35.1%
포 7
 
9.1%
군 5
 
6.5%
주 5
 
6.5%
흥 3
 
3.9%
남 3
 
3.9%
양 3
 
3.9%
수 2
 
2.6%
원 2
 
2.6%
김 2
 
2.6%
Other values (17) 18
23.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 27
35.1%
포 7
 
9.1%
군 5
 
6.5%
주 5
 
6.5%
흥 3
 
3.9%
남 3
 
3.9%
양 3
 
3.9%
수 2
 
2.6%
원 2
 
2.6%
김 2
 
2.6%
Other values (17) 18
23.4%

납부필증사용대상
Categorical

Distinct11
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
공동주택
8 
단독주택
5 
기타
2 
단독주택+공동주택
2 
사업장용
2 
Other values (6)
6 

Length

Max length17
Median length4
Mean length6.16
Min length2

Unique

Unique6 ?
Unique (%)24.0%

Sample

1st row가정용 사업장용
2nd row공동주택
3rd row공동주택
4th row공동주택
5th row공동주택

Common Values

ValueCountFrequency (%)
공동주택 8
32.0%
단독주택 5
20.0%
기타 2
 
8.0%
단독주택+공동주택 2
 
8.0%
사업장용 2
 
8.0%
가정용 사업장용 1
 
4.0%
공동주택+단독주택+기타 1
 
4.0%
공동주택+사업장용+기타 1
 
4.0%
단독주택+공동주택+사업장용 1
 
4.0%
단독주택+공동주택+사업장용+기타 1
 
4.0%

Length

2024-05-10T21:00:29.087980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공동주택 8
30.8%
단독주택 5
19.2%
사업장용 3
 
11.5%
기타 2
 
7.7%
단독주택+공동주택 2
 
7.7%
가정용 1
 
3.8%
공동주택+단독주택+기타 1
 
3.8%
공동주택+사업장용+기타 1
 
3.8%
단독주택+공동주택+사업장용 1
 
3.8%
단독주택+공동주택+사업장용+기타 1
 
3.8%

납부필증유형
Categorical

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
납부필증
11 
기타
7 
종량제
2 
전용용기 납부필증
 
1
전용용기+납부필증+기타
 
1
Other values (3)
3 

Length

Max length12
Median length9
Mean length4.2
Min length2

Unique

Unique5 ?
Unique (%)20.0%

Sample

1st row전용용기 납부필증
2nd row납부필증
3rd row기타
4th row납부필증
5th row납부필증

Common Values

ValueCountFrequency (%)
납부필증 11
44.0%
기타 7
28.0%
종량제 2
 
8.0%
전용용기 납부필증 1
 
4.0%
전용용기+납부필증+기타 1
 
4.0%
전용용기 1
 
4.0%
전용용기+납부필증 1
 
4.0%
납부필증+기타 1
 
4.0%

Length

2024-05-10T21:00:29.524283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:29.875450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
납부필증 12
46.2%
기타 7
26.9%
종량제 2
 
7.7%
전용용기 2
 
7.7%
전용용기+납부필증+기타 1
 
3.8%
전용용기+납부필증 1
 
3.8%
납부필증+기타 1
 
3.8%

1ℓ가격
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
23 
30
 
1
60
 
1

Length

Max length2
Median length1
Mean length1.08
Min length1

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
92.0%
30 1
 
4.0%
60 1
 
4.0%

Length

2024-05-10T21:00:30.283512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:30.599012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
92.0%
30 1
 
4.0%
60 1
 
4.0%

2ℓ가격
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
22 
60
 
1
50
 
1
100
 
1

Length

Max length3
Median length1
Mean length1.16
Min length1

Unique

Unique3 ?
Unique (%)12.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
88.0%
60 1
 
4.0%
50 1
 
4.0%
100 1
 
4.0%

Length

2024-05-10T21:00:30.977254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:31.320140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
88.0%
60 1
 
4.0%
50 1
 
4.0%
100 1
 
4.0%

3ℓ가격
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56
Minimum0
Maximum150
Zeros14
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-10T21:00:31.630457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3120
95-th percentile150
Maximum150
Range150
Interquartile range (IQR)120

Descriptive statistics

Standard deviation66.64583
Coefficient of variation (CV)1.1901041
Kurtosis-1.7996607
Mean56
Median Absolute Deviation (MAD)0
Skewness0.43126702
Sum1400
Variance4441.6667
MonotonicityNot monotonic
2024-05-10T21:00:32.005903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 14
56.0%
150 4
 
16.0%
120 2
 
8.0%
140 2
 
8.0%
110 1
 
4.0%
100 1
 
4.0%
70 1
 
4.0%
ValueCountFrequency (%)
0 14
56.0%
70 1
 
4.0%
100 1
 
4.0%
110 1
 
4.0%
120 2
 
8.0%
140 2
 
8.0%
150 4
 
16.0%
ValueCountFrequency (%)
150 4
 
16.0%
140 2
 
8.0%
120 2
 
8.0%
110 1
 
4.0%
100 1
 
4.0%
70 1
 
4.0%
0 14
56.0%

4ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2024-05-10T21:00:32.454218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:32.763268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

5ℓ가격
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92
Minimum0
Maximum250
Zeros14
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-10T21:00:33.058130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3200
95-th percentile250
Maximum250
Range250
Interquartile range (IQR)200

Descriptive statistics

Standard deviation109.77249
Coefficient of variation (CV)1.1931793
Kurtosis-1.7481402
Mean92
Median Absolute Deviation (MAD)0
Skewness0.45105015
Sum2300
Variance12050
MonotonicityNot monotonic
2024-05-10T21:00:33.418148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 14
56.0%
250 4
 
16.0%
180 2
 
8.0%
200 1
 
4.0%
240 1
 
4.0%
160 1
 
4.0%
120 1
 
4.0%
220 1
 
4.0%
ValueCountFrequency (%)
0 14
56.0%
120 1
 
4.0%
160 1
 
4.0%
180 2
 
8.0%
200 1
 
4.0%
220 1
 
4.0%
240 1
 
4.0%
250 4
 
16.0%
ValueCountFrequency (%)
250 4
 
16.0%
240 1
 
4.0%
220 1
 
4.0%
200 1
 
4.0%
180 2
 
8.0%
160 1
 
4.0%
120 1
 
4.0%
0 14
56.0%

6ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2024-05-10T21:00:33.834361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:34.128847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

7ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2024-05-10T21:00:34.495746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:34.892056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

10ℓ가격
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148
Minimum0
Maximum500
Zeros16
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-10T21:00:35.167339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3360
95-th percentile500
Maximum500
Range500
Interquartile range (IQR)360

Descriptive statistics

Standard deviation209.08531
Coefficient of variation (CV)1.4127386
Kurtosis-1.2049657
Mean148
Median Absolute Deviation (MAD)0
Skewness0.82891839
Sum3700
Variance43716.667
MonotonicityNot monotonic
2024-05-10T21:00:35.538747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 16
64.0%
500 3
 
12.0%
360 1
 
4.0%
400 1
 
4.0%
490 1
 
4.0%
310 1
 
4.0%
230 1
 
4.0%
410 1
 
4.0%
ValueCountFrequency (%)
0 16
64.0%
230 1
 
4.0%
310 1
 
4.0%
360 1
 
4.0%
400 1
 
4.0%
410 1
 
4.0%
490 1
 
4.0%
500 3
 
12.0%
ValueCountFrequency (%)
500 3
 
12.0%
490 1
 
4.0%
410 1
 
4.0%
400 1
 
4.0%
360 1
 
4.0%
310 1
 
4.0%
230 1
 
4.0%
0 16
64.0%

15ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2024-05-10T21:00:35.964510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:36.361272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

20ℓ가격
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean431.2
Minimum0
Maximum1600
Zeros13
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-10T21:00:36.697690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3820
95-th percentile1080
Maximum1600
Range1600
Interquartile range (IQR)820

Descriptive statistics

Standard deviation499.16029
Coefficient of variation (CV)1.1576074
Kurtosis-0.84519188
Mean431.2
Median Absolute Deviation (MAD)0
Skewness0.6318008
Sum10780
Variance249161
MonotonicityNot monotonic
2024-05-10T21:00:37.225848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 13
52.0%
1000 3
 
12.0%
700 1
 
4.0%
820 1
 
4.0%
990 1
 
4.0%
600 1
 
4.0%
460 1
 
4.0%
710 1
 
4.0%
800 1
 
4.0%
1100 1
 
4.0%
ValueCountFrequency (%)
0 13
52.0%
460 1
 
4.0%
600 1
 
4.0%
700 1
 
4.0%
710 1
 
4.0%
800 1
 
4.0%
820 1
 
4.0%
990 1
 
4.0%
1000 3
 
12.0%
1100 1
 
4.0%
ValueCountFrequency (%)
1600 1
 
4.0%
1100 1
 
4.0%
1000 3
12.0%
990 1
 
4.0%
820 1
 
4.0%
800 1
 
4.0%
710 1
 
4.0%
700 1
 
4.0%
600 1
 
4.0%
460 1
 
4.0%

22ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2024-05-10T21:00:37.698359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:38.032436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

25ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2024-05-10T21:00:38.337954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:38.685936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

26ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2024-05-10T21:00:39.022479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:39.390503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

30ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2024-05-10T21:00:39.702689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:39.985731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

40ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2024-05-10T21:00:40.261223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:40.536036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

50ℓ가격
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
24 
1150
 
1

Length

Max length4
Median length1
Mean length1.12
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
96.0%
1150 1
 
4.0%

Length

2024-05-10T21:00:40.778506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:41.100721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
96.0%
1150 1
 
4.0%

60ℓ가격
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
18 
3000
4 
3200
 
1
3300
 
1
3360
 
1

Length

Max length4
Median length1
Mean length1.84
Min length1

Unique

Unique3 ?
Unique (%)12.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 18
72.0%
3000 4
 
16.0%
3200 1
 
4.0%
3300 1
 
4.0%
3360 1
 
4.0%

Length

2024-05-10T21:00:41.460396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:41.837205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
72.0%
3000 4
 
16.0%
3200 1
 
4.0%
3300 1
 
4.0%
3360 1
 
4.0%

70ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2024-05-10T21:00:42.210408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:42.516174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

120ℓ가격
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3131.92
Minimum0
Maximum11040
Zeros12
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-10T21:00:42.792335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3120
Q36000
95-th percentile6696
Maximum11040
Range11040
Interquartile range (IQR)6000

Descriptive statistics

Standard deviation3329.5296
Coefficient of variation (CV)1.0630953
Kurtosis-0.86178399
Mean3131.92
Median Absolute Deviation (MAD)3120
Skewness0.47119616
Sum78298
Variance11085767
MonotonicityNot monotonic
2024-05-10T21:00:43.165478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 12
48.0%
6000 5
20.0%
5210 1
 
4.0%
5078 1
 
4.0%
3120 1
 
4.0%
11040 1
 
4.0%
6400 1
 
4.0%
4130 1
 
4.0%
6600 1
 
4.0%
6720 1
 
4.0%
ValueCountFrequency (%)
0 12
48.0%
3120 1
 
4.0%
4130 1
 
4.0%
5078 1
 
4.0%
5210 1
 
4.0%
6000 5
20.0%
6400 1
 
4.0%
6600 1
 
4.0%
6720 1
 
4.0%
11040 1
 
4.0%
ValueCountFrequency (%)
11040 1
 
4.0%
6720 1
 
4.0%
6600 1
 
4.0%
6400 1
 
4.0%
6000 5
20.0%
5210 1
 
4.0%
5078 1
 
4.0%
4130 1
 
4.0%
3120 1
 
4.0%
0 12
48.0%

200ℓ가격
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2024-05-10T21:00:43.547495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:43.844762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

관리부서명
Categorical

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
자원순환과
12 
위생자원과
4 
자원순환부
2 
청소자원과
2 
청소행정과
 
1
Other values (4)
4 

Length

Max length15
Median length5
Mean length5.92
Min length5

Unique

Unique5 ?
Unique (%)20.0%

Sample

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

Common Values

ValueCountFrequency (%)
자원순환과 12
48.0%
위생자원과 4
 
16.0%
자원순환부 2
 
8.0%
청소자원과 2
 
8.0%
청소행정과 1
 
4.0%
경기도 연천군청 환경보호과 1
 
4.0%
자원행정과 1
 
4.0%
파주시도시관광공사 1
 
4.0%
경기도 포천시청 친환경정책과 1
 
4.0%

Length

2024-05-10T21:00:44.113135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:00:44.388521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자원순환과 12
41.4%
위생자원과 4
 
13.8%
자원순환부 2
 
6.9%
청소자원과 2
 
6.9%
경기도 2
 
6.9%
청소행정과 1
 
3.4%
연천군청 1
 
3.4%
환경보호과 1
 
3.4%
자원행정과 1
 
3.4%
파주시도시관광공사 1
 
3.4%
Other values (2) 2
 
6.9%

관리부서전화번호
Text

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-10T21:00:44.835643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.08
Min length12

Characters and Unicode

Total characters302
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)60.0%

Sample

1st row031-790-5256
2nd row031-828-2994
3rd row031-760-4688
4th row031-481-3538
5th row031-8082-6922
ValueCountFrequency (%)
031-390-0486 4
16.0%
031-488-6894 2
 
8.0%
031-228-2257 2
 
8.0%
031-980-2764 2
 
8.0%
031-550-8369 1
 
4.0%
031-538-2465 1
 
4.0%
031-324-3376 1
 
4.0%
031-909-6335 1
 
4.0%
031-8075-2698 1
 
4.0%
031-887-2453 1
 
4.0%
Other values (9) 9
36.0%
2024-05-10T21:00:45.590531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.6%
0 43
14.2%
3 42
13.9%
8 29
9.6%
2 28
9.3%
1 27
8.9%
9 19
 
6.3%
4 19
 
6.3%
6 18
 
6.0%
5 16
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
83.4%
Dash Punctuation 50
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
17.1%
3 42
16.7%
8 29
11.5%
2 28
11.1%
1 27
10.7%
9 19
7.5%
4 19
7.5%
6 18
7.1%
5 16
 
6.3%
7 11
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.6%
0 43
14.2%
3 42
13.9%
8 29
9.6%
2 28
9.3%
1 27
8.9%
9 19
 
6.3%
4 19
 
6.3%
6 18
 
6.0%
5 16
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.6%
0 43
14.2%
3 42
13.9%
8 29
9.6%
2 28
9.3%
1 27
8.9%
9 19
 
6.3%
4 19
 
6.3%
6 18
 
6.0%
5 16
 
5.3%

데이터기준일자
Date

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-01-05 00:00:00
Maximum2023-12-05 00:00:00
2024-05-10T21:00:45.873342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:00:46.323549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

Sample

시도명시군구명납부필증사용대상납부필증유형1ℓ가격2ℓ가격3ℓ가격4ℓ가격5ℓ가격6ℓ가격7ℓ가격10ℓ가격15ℓ가격20ℓ가격22ℓ가격25ℓ가격26ℓ가격30ℓ가격40ℓ가격50ℓ가격60ℓ가격70ℓ가격120ℓ가격200ℓ가격관리부서명관리부서전화번호데이터기준일자
0경기도하남시가정용 사업장용전용용기 납부필증0011001800036007000000000000자원순환과031-790-52562023-06-27
1경기도의정부시공동주택납부필증00000000000000000052100자원순환과031-828-29942023-03-02
2경기도광주시공동주택기타00000000000000000050780자원순환과031-760-46882023-11-22
3경기도안산시공동주택납부필증00000000000000000031200자원순환과031-481-35382023-01-26
4경기도양주시공동주택납부필증000000000000000000110400청소행정과031-8082-69222023-05-25
5경기도남양주시공동주택납부필증00000000000000000060000자원순환과031-590-42562023-05-10
6경기도군포시공동주택기타00000000000000003000060000위생자원과031-390-04862023-11-06
7경기도군포시공동주택기타001500250000000000000000위생자원과031-390-04862023-11-06
8경기도성남시공동주택납부필증00000000000000003200064000자원순환과031-729-47222023-09-25
9경기도시흥시공동주택+단독주택+기타납부필증00150025000500010000000003000060000자원순환과031-310-22542023-01-05
시도명시군구명납부필증사용대상납부필증유형1ℓ가격2ℓ가격3ℓ가격4ℓ가격5ℓ가격6ℓ가격7ℓ가격10ℓ가격15ℓ가격20ℓ가격22ℓ가격25ℓ가격26ℓ가격30ℓ가격40ℓ가격50ℓ가격60ℓ가격70ℓ가격120ℓ가격200ℓ가격관리부서명관리부서전화번호데이터기준일자
15경기도군포시단독주택기타001500250000000000000000위생자원과031-390-04862023-11-06
16경기도고양시단독주택납부필증00120018000007100000000041300자원순환과031-8075-26982023-09-22
17경기도파주시단독주택기타6010014002200041008000000000000파주시도시관광공사031-909-63352023-11-14
18경기도시흥시단독주택+공동주택기타00150025000500010000000003000060000자원순환부031-488-68942023-10-04
19경기도용인시단독주택+공동주택납부필증00000000011000000003300066000자원순환과031-324-33762023-12-05
20경기도시흥시단독주택+공동주택+사업장용전용용기+납부필증00000000000000000000자원순환부031-488-68942023-10-04
21경기도포천시단독주택+공동주택+사업장용+기타납부필증+기타00000000000000003360067200경기도 포천시청 친환경정책과031-538-24652023-07-07
22경기도수원시사업장용납부필증0000000500010000000000000청소자원과031-228-22572023-11-13
23경기도군포시사업장용기타00000000016000000000000위생자원과031-390-04862023-11-06
24경기도수원시사업장용+공동주택납부필증00000000000000003000060000청소자원과031-228-22572023-11-13