Overview

Dataset statistics

Number of variables10
Number of observations22
Missing cells4
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory89.8 B

Variable types

Numeric3
Categorical6
Boolean1

Dataset

Description인천광역시 계양구 종량제봉투 정보로서 시도명, 시군구명, 구코드, 봉투구분, 봉투재질, 봉투용량, 금액 등의 정보를 포함합니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/15063799/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
구코드 has constant value ""Constant
사용여부 has constant value ""Constant
데이터기준일 has constant value ""Constant
순번 is highly overall correlated with 봉투구분 and 1 other fieldsHigh correlation
봉투용량(L) is highly overall correlated with 금액 and 1 other fieldsHigh correlation
금액 is highly overall correlated with 봉투용량(L) and 1 other fieldsHigh correlation
봉투구분 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
봉투재질 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
봉투용량(L) has 4 (18.2%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:25:16.736434
Analysis finished2024-03-14 12:25:19.125579
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-14T21:25:19.230493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-03-14T21:25:19.433023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
인천광역시
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 22
100.0%

Length

2024-03-14T21:25:19.640528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:25:19.810026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 22
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
계양구
22 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계양구 22
100.0%

Length

2024-03-14T21:25:20.018629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:25:20.239427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계양구 22
100.0%

구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
3550000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3550000
2nd row3550000
3rd row3550000
4th row3550000
5th row3550000

Common Values

ValueCountFrequency (%)
3550000 22
100.0%

Length

2024-03-14T21:25:20.410954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:25:20.577892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3550000 22
100.0%

봉투구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size304.0 B
음식물(신)
6 
일반
4 
불연성
4 
스티커
4 
사업계
2 

Length

Max length6
Median length3
Mean length3.6363636
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row일반
3rd row일반
4th row일반
5th row불연성

Common Values

ValueCountFrequency (%)
음식물(신) 6
27.3%
일반 4
18.2%
불연성 4
18.2%
스티커 4
18.2%
사업계 2
 
9.1%
재사용 2
 
9.1%

Length

2024-03-14T21:25:20.780315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:25:21.045666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식물(신 6
27.3%
일반 4
18.2%
불연성 4
18.2%
스티커 4
18.2%
사업계 2
 
9.1%
재사용 2
 
9.1%

봉투재질
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size304.0 B
고밀도
14 
선형저밀도
4 
폐기물스티커
4 

Length

Max length6
Median length3
Mean length3.9090909
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고밀도
2nd row고밀도
3rd row고밀도
4th row선형저밀도
5th row고밀도

Common Values

ValueCountFrequency (%)
고밀도 14
63.6%
선형저밀도 4
 
18.2%
폐기물스티커 4
 
18.2%

Length

2024-03-14T21:25:21.413274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:25:21.610198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고밀도 14
63.6%
선형저밀도 4
 
18.2%
폐기물스티커 4
 
18.2%

봉투용량(L)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)55.6%
Missing4
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean28.111111
Minimum1
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-14T21:25:21.785794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q15
median10
Q342.5
95-th percentile103.75
Maximum125
Range124
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation35.719312
Coefficient of variation (CV)1.2706475
Kurtosis2.5166754
Mean28.111111
Median Absolute Deviation (MAD)8.5
Skewness1.7693837
Sum506
Variance1275.8693
MonotonicityNot monotonic
2024-03-14T21:25:21.980653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10 4
18.2%
5 3
13.6%
20 3
13.6%
50 2
9.1%
100 1
 
4.5%
60 1
 
4.5%
125 1
 
4.5%
1 1
 
4.5%
2 1
 
4.5%
3 1
 
4.5%
(Missing) 4
18.2%
ValueCountFrequency (%)
1 1
 
4.5%
2 1
 
4.5%
3 1
 
4.5%
5 3
13.6%
10 4
18.2%
20 3
13.6%
50 2
9.1%
60 1
 
4.5%
100 1
 
4.5%
125 1
 
4.5%
ValueCountFrequency (%)
125 1
 
4.5%
100 1
 
4.5%
60 1
 
4.5%
50 2
9.1%
20 3
13.6%
10 4
18.2%
5 3
13.6%
3 1
 
4.5%
2 1
 
4.5%
1 1
 
4.5%

금액
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1966.3636
Minimum60
Maximum10000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-14T21:25:22.182460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile123
Q1322.5
median750
Q32712.5
95-th percentile7916.5
Maximum10000
Range9940
Interquartile range (IQR)2390

Descriptive statistics

Standard deviation2672.0147
Coefficient of variation (CV)1.3588609
Kurtosis3.6625599
Mean1966.3636
Median Absolute Deviation (MAD)555
Skewness2.003191
Sum43260
Variance7139662.3
MonotonicityNot monotonic
2024-03-14T21:25:22.425306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
390 3
13.6%
210 2
 
9.1%
750 2
 
9.1%
1850 2
 
9.1%
60 1
 
4.5%
1200 1
 
4.5%
600 1
 
4.5%
300 1
 
4.5%
180 1
 
4.5%
120 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
60 1
 
4.5%
120 1
 
4.5%
180 1
 
4.5%
210 2
9.1%
300 1
 
4.5%
390 3
13.6%
600 1
 
4.5%
750 2
9.1%
1000 1
 
4.5%
1200 1
 
4.5%
ValueCountFrequency (%)
10000 1
4.5%
8070 1
4.5%
5000 1
4.5%
3880 1
4.5%
3060 1
4.5%
3000 1
4.5%
1850 2
9.1%
1200 1
4.5%
1000 1
4.5%
750 2
9.1%

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size150.0 B
True
22 
ValueCountFrequency (%)
True 22
100.0%
2024-03-14T21:25:22.762696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-07
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-07
2nd row2024-03-07
3rd row2024-03-07
4th row2024-03-07
5th row2024-03-07

Common Values

ValueCountFrequency (%)
2024-03-07 22
100.0%

Length

2024-03-14T21:25:23.080972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:25:23.388956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-07 22
100.0%

Interactions

2024-03-14T21:25:18.185917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:25:17.019526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:25:17.744736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:25:18.316912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:25:17.251875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:25:17.880304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:25:18.488395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:25:17.492036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:25:18.027204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:25:23.578762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번봉투구분봉투재질봉투용량(L)금액
순번1.0000.8410.7890.2640.717
봉투구분0.8411.0000.9810.4840.398
봉투재질0.7890.9811.0000.9830.836
봉투용량(L)0.2640.4840.9831.0000.990
금액0.7170.3980.8360.9901.000
2024-03-14T21:25:23.750273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
봉투재질봉투구분
봉투재질1.0000.759
봉투구분0.7591.000
2024-03-14T21:25:23.894015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번봉투용량(L)금액봉투구분봉투재질
순번1.000-0.223-0.0630.5490.526
봉투용량(L)-0.2231.0000.9920.3110.761
금액-0.0630.9921.0000.2060.712
봉투구분0.5490.3110.2061.0000.759
봉투재질0.5260.7610.7120.7591.000

Missing values

2024-03-14T21:25:18.682005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:25:19.027768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번시도명시군구명구코드봉투구분봉투재질봉투용량(L)금액사용여부데이터기준일
01인천광역시계양구3550000일반고밀도5210Y2024-03-07
12인천광역시계양구3550000일반고밀도10390Y2024-03-07
23인천광역시계양구3550000일반고밀도20750Y2024-03-07
34인천광역시계양구3550000일반선형저밀도501850Y2024-03-07
45인천광역시계양구3550000불연성고밀도5210Y2024-03-07
56인천광역시계양구3550000불연성고밀도10390Y2024-03-07
67인천광역시계양구3550000불연성고밀도501850Y2024-03-07
78인천광역시계양구3550000불연성선형저밀도1003060Y2024-03-07
89인천광역시계양구3550000사업계선형저밀도603880Y2024-03-07
910인천광역시계양구3550000사업계선형저밀도1258070Y2024-03-07
순번시도명시군구명구코드봉투구분봉투재질봉투용량(L)금액사용여부데이터기준일
1213인천광역시계양구3550000스티커폐기물스티커<NA>1000Y2024-03-07
1314인천광역시계양구3550000스티커폐기물스티커<NA>3000Y2024-03-07
1415인천광역시계양구3550000스티커폐기물스티커<NA>5000Y2024-03-07
1516인천광역시계양구3550000스티커폐기물스티커<NA>10000Y2024-03-07
1617인천광역시계양구3550000음식물(신)고밀도160Y2024-03-07
1718인천광역시계양구3550000음식물(신)고밀도2120Y2024-03-07
1819인천광역시계양구3550000음식물(신)고밀도3180Y2024-03-07
1920인천광역시계양구3550000음식물(신)고밀도5300Y2024-03-07
2021인천광역시계양구3550000음식물(신)고밀도10600Y2024-03-07
2122인천광역시계양구3550000음식물(신)고밀도201200Y2024-03-07