Overview

Dataset statistics

Number of variables12
Number of observations316
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.3 KiB
Average record size in memory101.4 B

Variable types

Categorical7
Text1
Numeric4

Dataset

Description서울주택도시공사에서 추진 중인 의 미세먼지 저감대책사업 현황입니다 사업유형대코드,사업유형소코드,사업지,구코드,대표입력값,대표입력단위,종료년도,공사시작,공사완료,저감효과 지속기간,계산단위,미세먼지저감량 등 csv로 제공
URLhttps://www.data.go.kr/data/15066028/fileData.do

Alerts

사업유형소코드 is highly overall correlated with 계산단위 and 3 other fieldsHigh correlation
사업유형대코드 is highly overall correlated with 계산단위 and 3 other fieldsHigh correlation
대표입력단위 is highly overall correlated with 계산단위 and 4 other fieldsHigh correlation
대표입력값 is highly overall correlated with 미세먼지저감량High correlation
공사시작 is highly overall correlated with 공사완료High correlation
계산단위 is highly overall correlated with 미세먼지저감량 and 3 other fieldsHigh correlation
미세먼지저감량 is highly overall correlated with 대표입력값 and 2 other fieldsHigh correlation
종료년도 is highly overall correlated with 사업유형대코드 and 2 other fieldsHigh correlation
공사완료 is highly overall correlated with 공사시작High correlation
종료년도 is highly imbalanced (53.7%)Imbalance
계산단위 has 39 (12.3%) zerosZeros
미세먼지저감량 has 42 (13.3%) zerosZeros

Reproduction

Analysis started2023-12-12 14:42:10.248320
Analysis finished2023-12-12 14:42:13.351294
Duration3.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업유형대코드
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
아파트 벽면녹화
178 
친환경 보일러 교체
57 
쿨링포그
18 
실내 공기질 개선
 
17
도시숲 조성
 
15
Other values (5)
31 

Length

Max length10
Median length8
Mean length8.0443038
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row친환경 보일러 교체
2nd row친환경 보일러 교체
3rd row친환경 보일러 교체
4th row친환경 보일러 교체
5th row친환경 보일러 교체

Common Values

ValueCountFrequency (%)
아파트 벽면녹화 178
56.3%
친환경 보일러 교체 57
 
18.0%
쿨링포그 18
 
5.7%
실내 공기질 개선 17
 
5.4%
도시숲 조성 15
 
4.7%
분진흡입청소차 11
 
3.5%
공사장 방진덮개 8
 
2.5%
나대지 꽃밭 조성 8
 
2.5%
공사장 쿨링포그 2
 
0.6%
기타 2
 
0.6%

Length

2023-12-12T23:42:13.452361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:42:13.608281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아파트 178
26.1%
벽면녹화 178
26.1%
친환경 57
 
8.3%
보일러 57
 
8.3%
교체 57
 
8.3%
조성 23
 
3.4%
쿨링포그 20
 
2.9%
개선 17
 
2.5%
공기질 17
 
2.5%
실내 17
 
2.5%
Other values (7) 62
 
9.1%

사업유형소코드
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
벽면녹화
178 
친환경보일러 교체(일반→친환경콘덴싱)
40 
쿨링포그
18 
미세먼지 차단 환기시스템
 
16
친환경보일러 교체(콘덴싱→친환경콘덴싱)
 
13
Other values (10)
51 

Length

Max length21
Median length4
Mean length7.943038
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row친환경보일러 교체(일반→친환경콘덴싱)
2nd row친환경보일러 교체(일반→친환경콘덴싱)
3rd row친환경보일러 교체(일반→친환경콘덴싱)
4th row친환경보일러 교체(일반→친환경콘덴싱)
5th row친환경보일러 교체(일반→친환경콘덴싱)

Common Values

ValueCountFrequency (%)
벽면녹화 178
56.3%
친환경보일러 교체(일반→친환경콘덴싱) 40
 
12.7%
쿨링포그 18
 
5.7%
미세먼지 차단 환기시스템 16
 
5.1%
친환경보일러 교체(콘덴싱→친환경콘덴싱) 13
 
4.1%
분진흡입청소차 11
 
3.5%
공사장 방진덮개 8
 
2.5%
나대지 꽃밭 8
 
2.5%
미세먼지 저감숲 7
 
2.2%
미세먼지 차단 수림커튼 5
 
1.6%
Other values (5) 12
 
3.8%

Length

2023-12-12T23:42:13.818633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
벽면녹화 178
39.7%
친환경보일러 57
 
12.7%
교체(일반→친환경콘덴싱 40
 
8.9%
미세먼지 32
 
7.1%
차단 22
 
4.9%
쿨링포그 20
 
4.5%
환기시스템 16
 
3.6%
교체(콘덴싱→친환경콘덴싱 13
 
2.9%
분진흡입청소차 11
 
2.5%
공사장 10
 
2.2%
Other values (10) 49
 
10.9%

사업지
Text

Distinct276
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T23:42:14.126215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length9.7753165
Min length2

Characters and Unicode

Total characters3089
Distinct characters265
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)75.0%

Sample

1st row답십리두산(답십리9)
2nd row전농SK(전농4)
3rd row이문현대(이문1)
4th row이문쌍용
5th row답십리대우
ValueCountFrequency (%)
위례지구 19
 
4.4%
고덕강일 17
 
3.9%
고덕강일지구 12
 
2.8%
시행분 11
 
2.5%
위례 9
 
2.1%
4단지 6
 
1.4%
8단지 5
 
1.1%
항동 5
 
1.1%
항동지구 5
 
1.1%
7단지 4
 
0.9%
Other values (281) 342
78.6%
2023-12-12T23:42:14.642290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 186
 
6.0%
) 128
 
4.1%
( 128
 
4.1%
119
 
3.9%
1 112
 
3.6%
단 100
 
3.2%
구 76
 
2.5%
2 65
 
2.1%
- 53
 
1.7%
3 48
 
1.6%
Other values (255) 2074
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2142
69.3%
Decimal Number 376
 
12.2%
Close Punctuation 128
 
4.1%
Open Punctuation 128
 
4.1%
Space Separator 119
 
3.9%
Uppercase Letter 92
 
3.0%
Dash Punctuation 53
 
1.7%
Lowercase Letter 37
 
1.2%
Other Punctuation 13
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 186
 
8.7%
단 100
 
4.7%
구 76
 
3.5%
위 44
 
2.1%
덕 43
 
2.0%
례 43
 
2.0%
동 42
 
2.0%
강 37
 
1.7%
일 37
 
1.7%
고 34
 
1.6%
Other values (223) 1500
70.0%
Decimal Number
ValueCountFrequency (%)
1 112
29.8%
2 65
17.3%
3 48
12.8%
4 31
 
8.2%
9 25
 
6.6%
6 25
 
6.6%
5 23
 
6.1%
8 22
 
5.9%
7 13
 
3.5%
0 12
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
S 19
20.7%
L 18
19.6%
H 14
15.2%
B 9
9.8%
A 8
8.7%
E 6
 
6.5%
I 6
 
6.5%
V 6
 
6.5%
K 4
 
4.3%
D 2
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
l 12
32.4%
e 7
18.9%
v 6
16.2%
i 6
16.2%
h 3
 
8.1%
s 3
 
8.1%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Space Separator
ValueCountFrequency (%)
119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2142
69.3%
Common 818
 
26.5%
Latin 129
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 186
 
8.7%
단 100
 
4.7%
구 76
 
3.5%
위 44
 
2.1%
덕 43
 
2.0%
례 43
 
2.0%
동 42
 
2.0%
강 37
 
1.7%
일 37
 
1.7%
고 34
 
1.6%
Other values (223) 1500
70.0%
Common
ValueCountFrequency (%)
) 128
15.6%
( 128
15.6%
119
14.5%
1 112
13.7%
2 65
7.9%
- 53
6.5%
3 48
 
5.9%
4 31
 
3.8%
9 25
 
3.1%
6 25
 
3.1%
Other values (6) 84
10.3%
Latin
ValueCountFrequency (%)
S 19
14.7%
L 18
14.0%
H 14
10.9%
l 12
9.3%
B 9
 
7.0%
A 8
 
6.2%
e 7
 
5.4%
E 6
 
4.7%
I 6
 
4.7%
V 6
 
4.7%
Other values (6) 24
18.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2142
69.3%
ASCII 947
30.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 186
 
8.7%
단 100
 
4.7%
구 76
 
3.5%
위 44
 
2.1%
덕 43
 
2.0%
례 43
 
2.0%
동 42
 
2.0%
강 37
 
1.7%
일 37
 
1.7%
고 34
 
1.6%
Other values (223) 1500
70.0%
ASCII
ValueCountFrequency (%)
) 128
13.5%
( 128
13.5%
119
12.6%
1 112
11.8%
2 65
 
6.9%
- 53
 
5.6%
3 48
 
5.1%
4 31
 
3.3%
9 25
 
2.6%
6 25
 
2.6%
Other values (22) 213
22.5%

구코드
Categorical

Distinct24
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
송파구
51 
강동구
34 
강서구
24 
구로구
23 
마포구
 
16
Other values (19)
168 

Length

Max length4
Median length3
Mean length3.0664557
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
송파구 51
16.1%
강동구 34
 
10.8%
강서구 24
 
7.6%
구로구 23
 
7.3%
마포구 16
 
5.1%
동대문구 15
 
4.7%
은평구 14
 
4.4%
서대문구 13
 
4.1%
강남구 13
 
4.1%
성동구 13
 
4.1%
Other values (14) 100
31.6%

Length

2023-12-12T23:42:14.816481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송파구 51
16.1%
강동구 34
 
10.8%
강서구 24
 
7.6%
구로구 23
 
7.3%
마포구 16
 
5.1%
동대문구 15
 
4.7%
은평구 14
 
4.4%
서대문구 13
 
4.1%
강남구 13
 
4.1%
성동구 13
 
4.1%
Other values (14) 100
31.6%

대표입력값
Real number (ℝ)

HIGH CORRELATION 

Distinct184
Distinct (%)58.4%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean2987.6159
Minimum0
Maximum125000
Zeros3
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T23:42:14.976158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.7
Q1120
median270
Q3538
95-th percentile11400
Maximum125000
Range125000
Interquartile range (IQR)418

Descriptive statistics

Standard deviation14075.309
Coefficient of variation (CV)4.7112176
Kurtosis53.038951
Mean2987.6159
Median Absolute Deviation (MAD)170
Skewness7.0624976
Sum941099
Variance1.9811431 × 108
MonotonicityNot monotonic
2023-12-12T23:42:15.138118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 14
 
4.4%
100 11
 
3.5%
150 10
 
3.2%
300 6
 
1.9%
50 6
 
1.9%
400 6
 
1.9%
1 5
 
1.6%
700 5
 
1.6%
270 5
 
1.6%
340 4
 
1.3%
Other values (174) 243
76.9%
ValueCountFrequency (%)
0 3
0.9%
1 5
1.6%
2 2
 
0.6%
3 1
 
0.3%
5 2
 
0.6%
6 3
0.9%
7 1
 
0.3%
8 1
 
0.3%
9 3
0.9%
12 2
 
0.6%
ValueCountFrequency (%)
125000 1
0.3%
122051 1
0.3%
120000 1
0.3%
78154 1
0.3%
66017 1
0.3%
65000 1
0.3%
50000 1
0.3%
26745 1
0.3%
17571 1
0.3%
17459 1
0.3%

대표입력단위
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
제곱미터
211 
세대
73 
개소
 
21
km
 
11

Length

Max length4
Median length4
Mean length3.335443
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제곱미터 211
66.8%
세대 73
 
23.1%
개소 21
 
6.6%
km 11
 
3.5%

Length

2023-12-12T23:42:15.595192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:42:15.728588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제곱미터 211
66.8%
세대 73
 
23.1%
개소 21
 
6.6%
km 11
 
3.5%

종료년도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
해당없음
158 
반영구
135 
2020-12-31
 
8
2019-12-31
 
7
2018-12-31
 
3
Other values (4)
 
5

Length

Max length10
Median length7
Mean length4.0094937
Min length3

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 158
50.0%
반영구 135
42.7%
2020-12-31 8
 
2.5%
2019-12-31 7
 
2.2%
2018-12-31 3
 
0.9%
2022-12-31 2
 
0.6%
2020-03-31 1
 
0.3%
2030-12-31 1
 
0.3%
2019-04-30 1
 
0.3%

Length

2023-12-12T23:42:15.883643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:42:16.002492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 158
50.0%
반영구 135
42.7%
2020-12-31 8
 
2.5%
2019-12-31 7
 
2.2%
2018-12-31 3
 
0.9%
2022-12-31 2
 
0.6%
2020-03-31 1
 
0.3%
2030-12-31 1
 
0.3%
2019-04-30 1
 
0.3%

공사시작
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.5253
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T23:42:16.128488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2018
Q12018
median2020
Q32021
95-th percentile2021
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.1748657
Coefficient of variation (CV)0.00058175339
Kurtosis-1.2408548
Mean2019.5253
Median Absolute Deviation (MAD)1
Skewness-0.013845118
Sum638170
Variance1.3803094
MonotonicityNot monotonic
2023-12-12T23:42:16.245732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2020 81
25.6%
2018 81
25.6%
2021 79
25.0%
2019 69
21.8%
2022 4
 
1.3%
2017 2
 
0.6%
ValueCountFrequency (%)
2017 2
 
0.6%
2018 81
25.6%
2019 69
21.8%
2020 81
25.6%
2021 79
25.0%
2022 4
 
1.3%
ValueCountFrequency (%)
2022 4
 
1.3%
2021 79
25.0%
2020 81
25.6%
2019 69
21.8%
2018 81
25.6%
2017 2
 
0.6%

공사완료
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2020
88 
2021
81 
2018
81 
2019
61 
2022
 
5

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2020 88
27.8%
2021 81
25.6%
2018 81
25.6%
2019 61
19.3%
2022 5
 
1.6%

Length

2023-12-12T23:42:16.390461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:42:16.508674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 88
27.8%
2021 81
25.6%
2018 81
25.6%
2019 61
19.3%
2022 5
 
1.6%

저감효과 지속기간
Categorical

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
종료
156 
영구
135 
2020
 
9
2019
 
8
2021
 
4
Other values (2)
 
4

Length

Max length4
Median length2
Mean length2.1582278
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row종료
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
종료 156
49.4%
영구 135
42.7%
2020 9
 
2.8%
2019 8
 
2.5%
2021 4
 
1.3%
2018 3
 
0.9%
2030 1
 
0.3%

Length

2023-12-12T23:42:16.644603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:42:16.801436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종료 156
49.4%
영구 135
42.7%
2020 9
 
2.8%
2019 8
 
2.5%
2021 4
 
1.3%
2018 3
 
0.9%
2030 1
 
0.3%

계산단위
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028333506
Minimum0
Maximum0.158
Zeros39
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T23:42:16.925899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.000118
median0.000118
Q30.0357
95-th percentile0.158
Maximum0.158
Range0.158
Interquartile range (IQR)0.035582

Descriptive statistics

Standard deviation0.054502836
Coefficient of variation (CV)1.9236177
Kurtosis1.3830381
Mean0.028333506
Median Absolute Deviation (MAD)0
Skewness1.7372454
Sum8.953388
Variance0.0029705591
MonotonicityNot monotonic
2023-12-12T23:42:17.031104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.000118 186
58.9%
0.158 40
 
12.7%
0.0 39
 
12.3%
0.0357 15
 
4.7%
0.062 13
 
4.1%
0.0659 11
 
3.5%
0.00013 8
 
2.5%
0.136 4
 
1.3%
ValueCountFrequency (%)
0.0 39
 
12.3%
0.000118 186
58.9%
0.00013 8
 
2.5%
0.0357 15
 
4.7%
0.062 13
 
4.1%
0.0659 11
 
3.5%
0.136 4
 
1.3%
0.158 40
 
12.7%
ValueCountFrequency (%)
0.158 40
 
12.7%
0.136 4
 
1.3%
0.0659 11
 
3.5%
0.062 13
 
4.1%
0.0357 15
 
4.7%
0.00013 8
 
2.5%
0.000118 186
58.9%
0.0 39
 
12.3%

미세먼지저감량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct161
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.920456
Minimum0
Maximum869.88
Zeros42
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T23:42:17.175470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.012
median0.041
Q310.233
95-th percentile115.1025
Maximum869.88
Range869.88
Interquartile range (IQR)10.221

Descriptive statistics

Standard deviation119.94172
Coefficient of variation (CV)3.7575191
Kurtosis33.67116
Mean31.920456
Median Absolute Deviation (MAD)0.041
Skewness5.6704859
Sum10086.864
Variance14386.017
MonotonicityNot monotonic
2023-12-12T23:42:17.336161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 42
 
13.3%
0.024 16
 
5.1%
0.012 11
 
3.5%
0.018 8
 
2.5%
0.004 8
 
2.5%
0.006 6
 
1.9%
0.047 6
 
1.9%
0.083 5
 
1.6%
0.032 5
 
1.6%
0.035 4
 
1.3%
Other values (151) 205
64.9%
ValueCountFrequency (%)
0.0 42
13.3%
0.002 3
 
0.9%
0.004 8
 
2.5%
0.005 3
 
0.9%
0.006 6
 
1.9%
0.008 3
 
0.9%
0.009 4
 
1.3%
0.011 2
 
0.6%
0.012 11
 
3.5%
0.014 4
 
1.3%
ValueCountFrequency (%)
869.88 3
0.9%
751.26 3
0.9%
438.235 1
 
0.3%
408.801 1
 
0.3%
362.45 1
 
0.3%
247.125 1
 
0.3%
218.627 1
 
0.3%
197.7 1
 
0.3%
193.851 1
 
0.3%
146.691 1
 
0.3%

Interactions

2023-12-12T23:42:12.581125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:11.108151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:11.632183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:12.092852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:12.684591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:11.240193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:11.747476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:12.231985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:12.785666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:11.348418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:11.867556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:12.354040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:12.888987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:11.527432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:11.992527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:12.474053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:42:17.452966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업유형대코드사업유형소코드구코드대표입력값대표입력단위종료년도공사시작공사완료저감효과 지속기간계산단위미세먼지저감량
사업유형대코드1.0001.0000.4700.6521.0000.8230.6610.6890.3430.9050.610
사업유형소코드1.0001.0000.4400.6761.0000.8470.6560.6940.4201.0000.672
구코드0.4700.4401.0000.0000.4290.0000.5900.5900.6740.5440.000
대표입력값0.6520.6760.0001.0000.2410.5530.0000.0250.0000.1510.616
대표입력단위1.0001.0000.4290.2411.0000.7390.3070.3500.3050.8810.644
종료년도0.8230.8470.0000.5530.7391.0000.5410.5670.0000.6620.687
공사시작0.6610.6560.5900.0000.3070.5411.0000.9980.4670.2950.000
공사완료0.6890.6940.5900.0250.3500.5670.9981.0000.4500.2780.000
저감효과 지속기간0.3430.4200.6740.0000.3050.0000.4670.4501.0000.3700.000
계산단위0.9051.0000.5440.1510.8810.6620.2950.2780.3701.0000.615
미세먼지저감량0.6100.6720.0000.6160.6440.6870.0000.0000.0000.6151.000
2023-12-12T23:42:17.592461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
저감효과 지속기간사업유형소코드구코드공사완료사업유형대코드대표입력단위종료년도
저감효과 지속기간1.0000.2020.3560.3070.1800.2120.000
사업유형소코드0.2021.0000.1460.3640.9920.9820.550
구코드0.3560.1461.0000.3220.1870.2080.000
공사완료0.3070.3640.3221.0000.3520.2920.369
사업유형대코드0.1800.9920.1870.3521.0000.9800.561
대표입력단위0.2120.9820.2080.2920.9801.0000.575
종료년도0.0000.5500.0000.3690.5610.5751.000
2023-12-12T23:42:17.749855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표입력값공사시작계산단위미세먼지저감량사업유형대코드사업유형소코드구코드대표입력단위종료년도공사완료저감효과 지속기간
대표입력값1.000-0.1390.3020.6630.4020.3810.0000.1670.3310.0140.000
공사시작-0.1391.0000.2420.0740.3090.3080.2710.2870.3520.9320.284
계산단위0.3020.2421.0000.8690.7620.9850.2420.7540.4000.1920.230
미세먼지저감량0.6630.0740.8691.0000.3640.3790.0000.5020.4520.0000.000
사업유형대코드0.4020.3090.7620.3641.0000.9920.1870.9800.5610.3520.180
사업유형소코드0.3810.3080.9850.3790.9921.0000.1460.9820.5500.3640.202
구코드0.0000.2710.2420.0000.1870.1461.0000.2080.0000.3220.356
대표입력단위0.1670.2870.7540.5020.9800.9820.2081.0000.5750.2920.212
종료년도0.3310.3520.4000.4520.5610.5500.0000.5751.0000.3690.000
공사완료0.0140.9320.1920.0000.3520.3640.3220.2920.3691.0000.307
저감효과 지속기간0.0000.2840.2300.0000.1800.2020.3560.2120.0000.3071.000

Missing values

2023-12-12T23:42:13.032340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:42:13.257334image/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

사업유형대코드사업유형소코드사업지구코드대표입력값대표입력단위종료년도공사시작공사완료저감효과 지속기간계산단위미세먼지저감량
0친환경 보일러 교체친환경보일러 교체(일반→친환경콘덴싱)답십리두산(답십리9)동대문구218세대해당없음20212021종료0.15834.444
1친환경 보일러 교체친환경보일러 교체(일반→친환경콘덴싱)전농SK(전농4)동대문구732세대해당없음2021202120210.158115.656
2친환경 보일러 교체친환경보일러 교체(일반→친환경콘덴싱)이문현대(이문1)동대문구173세대해당없음2021202120210.15827.334
3친환경 보일러 교체친환경보일러 교체(일반→친환경콘덴싱)이문쌍용동대문구224세대해당없음2021202120210.15835.392
4친환경 보일러 교체친환경보일러 교체(일반→친환경콘덴싱)답십리대우동대문구101세대해당없음2021202120210.15815.958
5친환경 보일러 교체친환경보일러 교체(일반→친환경콘덴싱)답십리청솔우성(답십리7)동대문구314세대해당없음20212021종료0.15849.612
6친환경 보일러 교체친환경보일러 교체(일반→친환경콘덴싱)답십리동아(답십리8)동대문구378세대해당없음20212021종료0.15859.724
7친환경 보일러 교체친환경보일러 교체(일반→친환경콘덴싱)삼선sh-ville(삼선1)성북구284세대해당없음20212021종료0.15844.872
8친환경 보일러 교체친환경보일러 교체(일반→친환경콘덴싱)길음동부(길음3)성북구276세대해당없음20212021종료0.15843.608
9친환경 보일러 교체친환경보일러 교체(일반→친환경콘덴싱)월곡2sh-ville(월곡2)성북구207세대해당없음20212021종료0.15832.706
사업유형대코드사업유형소코드사업지구코드대표입력값대표입력단위종료년도공사시작공사완료저감효과 지속기간계산단위미세먼지저감량
306아파트 벽면녹화벽면녹화방화6단지강서구200제곱미터반영구20182018종료0.0001180.024
307아파트 벽면녹화벽면녹화방화2-1단지강서구80제곱미터반영구20182018종료0.0001180.009
308아파트 벽면녹화벽면녹화가양 8단지강서구300제곱미터반영구20182018종료0.0001180.035
309아파트 벽면녹화벽면녹화가양 9단지강서구610제곱미터해당없음20182018종료0.0001180.072
310아파트 벽면녹화벽면녹화유니트로강서구204제곱미터반영구20182018종료0.0001180.024
311아파트 벽면녹화벽면녹화양재리본타워2단지서초구129제곱미터반영구20182018종료0.0001180.015
312아파트 벽면녹화벽면녹화세곡리엔파크4단지강남구1120제곱미터반영구20182018종료0.0001180.132
313아파트 벽면녹화벽면녹화서초네이처힐5단지서초구536제곱미터반영구20182018종료0.0001180.063
314아파트 벽면녹화벽면녹화수서6단지강남구284제곱미터반영구20182018종료0.0001180.034
315아파트 벽면녹화벽면녹화수서1-1단지강남구1046제곱미터반영구20182018종료0.0001180.123