Overview

Dataset statistics

Number of variables5
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory47.7 B

Variable types

Text1
Numeric4

Dataset

Description재활용품배출방법(구분,공용분리 수거함,종량제 봉투 등)구분을 용이하게 하기 위한 명칭, 구분에서 공용분리 수거함을 이용하는 비율
Author전북특별자치도
URLhttps://www.data.go.kr/data/15051283/fileData.do

Alerts

공용분리 수거함 is highly overall correlated with 일반봉투 분리 배출 and 1 other fieldsHigh correlation
일반봉투 분리 배출 is highly overall correlated with 공용분리 수거함 and 1 other fieldsHigh correlation
기타 is highly overall correlated with 공용분리 수거함 and 1 other fieldsHigh correlation
구분 has unique valuesUnique
일반봉투 분리 배출 has unique valuesUnique
기타 has 1 (2.9%) zerosZeros

Reproduction

Analysis started2024-03-14 09:15:54.898390
Analysis finished2024-03-14 09:15:59.348570
Duration4.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size408.0 B
2024-03-14T18:16:00.028176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.0571429
Min length2

Characters and Unicode

Total characters142
Distinct characters58
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row남자
2nd row여자
3rd row15-19세
4th row20-29세
5th row30-39세
ValueCountFrequency (%)
남자 1
 
2.9%
기능/기타 1
 
2.9%
미혼 1
 
2.9%
기혼 1
 
2.9%
사별 1
 
2.9%
이혼 1
 
2.9%
가구주 1
 
2.9%
단독주택 1
 
2.9%
비경제활동인구 1
 
2.9%
아파트 1
 
2.9%
Other values (25) 25
71.4%
2024-03-14T18:16:01.022978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 10
 
7.0%
대 7
 
4.9%
가 7
 
4.9%
구 7
 
4.9%
학 6
 
4.2%
- 5
 
3.5%
9 5
 
3.5%
0 5
 
3.5%
1 4
 
2.8%
교 4
 
2.8%
Other values (48) 82
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109
76.8%
Decimal Number 26
 
18.3%
Dash Punctuation 5
 
3.5%
Other Punctuation 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 10
 
9.2%
대 7
 
6.4%
가 7
 
6.4%
구 7
 
6.4%
학 6
 
5.5%
교 4
 
3.7%
기 4
 
3.7%
주 4
 
3.7%
사 4
 
3.7%
자 4
 
3.7%
Other values (38) 52
47.7%
Decimal Number
ValueCountFrequency (%)
9 5
19.2%
0 5
19.2%
1 4
15.4%
5 3
11.5%
2 3
11.5%
3 3
11.5%
4 2
 
7.7%
6 1
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109
76.8%
Common 33
 
23.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 10
 
9.2%
대 7
 
6.4%
가 7
 
6.4%
구 7
 
6.4%
학 6
 
5.5%
교 4
 
3.7%
기 4
 
3.7%
주 4
 
3.7%
사 4
 
3.7%
자 4
 
3.7%
Other values (38) 52
47.7%
Common
ValueCountFrequency (%)
- 5
15.2%
9 5
15.2%
0 5
15.2%
1 4
12.1%
5 3
9.1%
2 3
9.1%
3 3
9.1%
/ 2
 
6.1%
4 2
 
6.1%
6 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109
76.8%
ASCII 33
 
23.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 10
 
9.2%
대 7
 
6.4%
가 7
 
6.4%
구 7
 
6.4%
학 6
 
5.5%
교 4
 
3.7%
기 4
 
3.7%
주 4
 
3.7%
사 4
 
3.7%
자 4
 
3.7%
Other values (38) 52
47.7%
ASCII
ValueCountFrequency (%)
- 5
15.2%
9 5
15.2%
0 5
15.2%
1 4
12.1%
5 3
9.1%
2 3
9.1%
3 3
9.1%
/ 2
 
6.1%
4 2
 
6.1%
6 1
 
3.0%

공용분리 수거함
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.528571
Minimum54.5
Maximum92.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size443.0 B
2024-03-14T18:16:01.241202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.5
5-th percentile57.68
Q168.6
median76.2
Q380.35
95-th percentile86.51
Maximum92.4
Range37.9
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation9.3720351
Coefficient of variation (CV)0.1257509
Kurtosis-0.32763066
Mean74.528571
Median Absolute Deviation (MAD)6.2
Skewness-0.45881424
Sum2608.5
Variance87.835042
MonotonicityNot monotonic
2024-03-14T18:16:01.468652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
68.6 2
 
5.7%
76.2 2
 
5.7%
92.4 1
 
2.9%
71.0 1
 
2.9%
78.2 1
 
2.9%
61.0 1
 
2.9%
76.1 1
 
2.9%
74.0 1
 
2.9%
54.5 1
 
2.9%
75.7 1
 
2.9%
Other values (23) 23
65.7%
ValueCountFrequency (%)
54.5 1
2.9%
55.3 1
2.9%
58.7 1
2.9%
61.0 1
2.9%
61.2 1
2.9%
63.0 1
2.9%
66.2 1
2.9%
67.9 1
2.9%
68.6 2
5.7%
70.5 1
2.9%
ValueCountFrequency (%)
92.4 1
2.9%
87.0 1
2.9%
86.3 1
2.9%
85.9 1
2.9%
85.2 1
2.9%
84.0 1
2.9%
83.4 1
2.9%
82.4 1
2.9%
80.5 1
2.9%
80.2 1
2.9%

종량제 봉투
Real number (ℝ)

Distinct26
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5514286
Minimum3.5
Maximum16.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size443.0 B
2024-03-14T18:16:01.784834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.83
Q16.35
median6.8
Q39.1
95-th percentile10.55
Maximum16.2
Range12.7
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.331797
Coefficient of variation (CV)0.30878886
Kurtosis4.3646866
Mean7.5514286
Median Absolute Deviation (MAD)1
Skewness1.5371912
Sum264.3
Variance5.4372773
MonotonicityNot monotonic
2024-03-14T18:16:02.182466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6.8 3
 
8.6%
9.1 3
 
8.6%
6.5 3
 
8.6%
6.4 2
 
5.7%
6.9 2
 
5.7%
5.8 2
 
5.7%
6.6 1
 
2.9%
10.2 1
 
2.9%
5.1 1
 
2.9%
9.4 1
 
2.9%
Other values (16) 16
45.7%
ValueCountFrequency (%)
3.5 1
 
2.9%
4.2 1
 
2.9%
5.1 1
 
2.9%
5.6 1
 
2.9%
5.8 2
5.7%
6.0 1
 
2.9%
6.2 1
 
2.9%
6.3 1
 
2.9%
6.4 2
5.7%
6.5 3
8.6%
ValueCountFrequency (%)
16.2 1
 
2.9%
10.9 1
 
2.9%
10.4 1
 
2.9%
10.3 1
 
2.9%
10.2 1
 
2.9%
10.0 1
 
2.9%
9.4 1
 
2.9%
9.1 3
8.6%
8.2 1
 
2.9%
7.8 1
 
2.9%

일반봉투 분리 배출
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.634286
Minimum3.8
Maximum30.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size443.0 B
2024-03-14T18:16:02.570274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile6.44
Q19.85
median14.2
Q320.6
95-th percentile28.11
Maximum30.2
Range26.4
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation7.2425192
Coefficient of variation (CV)0.46324593
Kurtosis-0.78082733
Mean15.634286
Median Absolute Deviation (MAD)5.2
Skewness0.43573424
Sum547.2
Variance52.454084
MonotonicityNot monotonic
2024-03-14T18:16:02.992717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
15.2 1
 
2.9%
20.1 1
 
2.9%
10.4 1
 
2.9%
15.5 1
 
2.9%
25.0 1
 
2.9%
14.2 1
 
2.9%
16.4 1
 
2.9%
30.2 1
 
2.9%
3.8 1
 
2.9%
13.1 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
3.8 1
2.9%
6.3 1
2.9%
6.5 1
2.9%
6.6 1
2.9%
7.5 1
2.9%
8.4 1
2.9%
9.0 1
2.9%
9.2 1
2.9%
9.4 1
2.9%
10.3 1
2.9%
ValueCountFrequency (%)
30.2 1
2.9%
30.0 1
2.9%
27.3 1
2.9%
26.3 1
2.9%
25.2 1
2.9%
25.0 1
2.9%
22.6 1
2.9%
21.7 1
2.9%
21.0 1
2.9%
20.2 1
2.9%

기타
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2828571
Minimum0
Maximum7.7
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size443.0 B
2024-03-14T18:16:03.369387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.17
Q10.55
median1.3
Q33.6
95-th percentile6.2
Maximum7.7
Range7.7
Interquartile range (IQR)3.05

Descriptive statistics

Standard deviation2.1233278
Coefficient of variation (CV)0.93011857
Kurtosis-0.053594079
Mean2.2828571
Median Absolute Deviation (MAD)1.1
Skewness0.97869704
Sum79.9
Variance4.508521
MonotonicityNot monotonic
2024-03-14T18:16:03.772498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1.3 3
 
8.6%
0.3 3
 
8.6%
3.6 3
 
8.6%
1.1 3
 
8.6%
2.5 2
 
5.7%
0.4 2
 
5.7%
2.8 2
 
5.7%
6.2 2
 
5.7%
0.9 2
 
5.7%
5.9 1
 
2.9%
Other values (12) 12
34.3%
ValueCountFrequency (%)
0.0 1
 
2.9%
0.1 1
 
2.9%
0.2 1
 
2.9%
0.3 3
8.6%
0.4 2
5.7%
0.5 1
 
2.9%
0.6 1
 
2.9%
0.9 2
5.7%
1.0 1
 
2.9%
1.1 3
8.6%
ValueCountFrequency (%)
7.7 1
 
2.9%
6.2 2
5.7%
5.9 1
 
2.9%
5.7 1
 
2.9%
4.7 1
 
2.9%
4.0 1
 
2.9%
3.6 3
8.6%
3.5 1
 
2.9%
2.8 2
5.7%
2.5 2
5.7%

Interactions

2024-03-14T18:15:58.132777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:55.079061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:56.109319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:57.123076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:58.395902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:55.341525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:56.365896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:57.377849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:58.654384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:55.597315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:56.616901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:57.632481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:58.905808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:55.844075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:56.860044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:15:57.872451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:16:04.035338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분공용분리 수거함종량제 봉투일반봉투 분리 배출기타
구분1.0001.0001.0001.0001.000
공용분리 수거함1.0001.0000.5510.9570.737
종량제 봉투1.0000.5511.0000.5890.000
일반봉투 분리 배출1.0000.9570.5891.0000.868
기타1.0000.7370.0000.8681.000
2024-03-14T18:16:04.498937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공용분리 수거함종량제 봉투일반봉투 분리 배출기타
공용분리 수거함1.000-0.318-0.945-0.797
종량제 봉투-0.3181.0000.123-0.015
일반봉투 분리 배출-0.9450.1231.0000.749
기타-0.797-0.0150.7491.000

Missing values

2024-03-14T18:15:59.114589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:15:59.280643image/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

구분공용분리 수거함종량제 봉투일반봉투 분리 배출기타
0남자75.76.615.22.5
1여자68.67.620.13.6
215-19세76.216.26.31.3
320-29세80.210.09.40.3
430-39세87.06.26.50.4
540-49세80.56.411.71.3
650-59세74.76.016.52.8
760세이상61.26.826.35.7
8무학55.36.930.07.7
9초등학교58.77.827.36.2
구분공용분리 수거함종량제 봉투일반봉투 분리 배출기타
25단독주택54.59.130.26.2
26아파트92.43.53.80.3
27연립주택77.69.113.10.2
28다세대주택77.910.411.30.4
29기타63.010.925.20.9
301인가구67.99.419.13.6
311세대가구68.66.421.04.0
322세대가구82.45.810.31.5
333세대가구72.25.121.71.1
34비혈연가구80.06.513.50.0