Overview

Dataset statistics

Number of variables15
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows9
Duplicate rows (%)15.0%
Total size in memory7.5 KiB
Average record size in memory127.2 B

Variable types

Categorical9
Numeric5
DateTime1

Dataset

Description펠릿보일러설치현황(구분, 설치연도, 행정동, 보일러제조업체, 보일러모델, 열효율, 정격열출력(난방/급탕), 연료소비량, 설치업체 등) 정보 공개
Author경기도 동두천시
URLhttps://www.data.go.kr/data/3080432/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 9 (15.0%) duplicate rowsDuplicates
보일러모델명 is highly overall correlated with 열효율(퍼센트) and 7 other fieldsHigh correlation
설치업체주소 is highly overall correlated with 열효율(퍼센트) and 5 other fieldsHigh correlation
설치업체 is highly overall correlated with 열효율(퍼센트) and 5 other fieldsHigh correlation
연락처 is highly overall correlated with 열효율(퍼센트) and 5 other fieldsHigh correlation
보일러제조사 is highly overall correlated with 열효율(퍼센트) and 5 other fieldsHigh correlation
년도 is highly overall correlated with 구분High correlation
열효율(퍼센트) is highly overall correlated with 정격열출력KW(급탕) and 7 other fieldsHigh correlation
정격열출력KW(난방) is highly overall correlated with 보일러모델명High correlation
정격열출력KW(급탕) is highly overall correlated with 열효율(퍼센트) and 3 other fieldsHigh correlation
연료소비량(kg_h) is highly overall correlated with 열효율(퍼센트) and 6 other fieldsHigh correlation
구분 is highly overall correlated with 년도 and 2 other fieldsHigh correlation
보일러제조사 is highly imbalanced (71.5%)Imbalance
설치업체 is highly imbalanced (71.5%)Imbalance
정격열출력KW(급탕) has 2 (3.3%) zerosZeros
연료소비량(kg_h) has 2 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-12 14:42:58.989507
Analysis finished2023-12-12 14:43:02.177557
Duration3.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
가정용
33 
사회복지용
14 
주택용
13 

Length

Max length5
Median length3
Mean length3.4666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가정용 33
55.0%
사회복지용 14
23.3%
주택용 13
 
21.7%

Length

2023-12-12T23:43:02.237403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:43:02.329900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정용 33
55.0%
사회복지용 14
23.3%
주택용 13
 
21.7%

년도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.3667
Minimum2011
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:43:02.756743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2011
Q12013
median2015
Q32020
95-th percentile2022.05
Maximum2023
Range12
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.7005115
Coefficient of variation (CV)0.0018352374
Kurtosis-1.2833249
Mean2016.3667
Median Absolute Deviation (MAD)3
Skewness0.22847438
Sum120982
Variance13.693785
MonotonicityIncreasing
2023-12-12T23:43:02.866630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2014 11
18.3%
2020 10
16.7%
2013 7
11.7%
2019 6
10.0%
2011 5
8.3%
2012 4
 
6.7%
2015 4
 
6.7%
2022 4
 
6.7%
2017 3
 
5.0%
2023 3
 
5.0%
Other values (2) 3
 
5.0%
ValueCountFrequency (%)
2011 5
8.3%
2012 4
 
6.7%
2013 7
11.7%
2014 11
18.3%
2015 4
 
6.7%
2016 1
 
1.7%
2017 3
 
5.0%
2018 2
 
3.3%
2019 6
10.0%
2020 10
16.7%
ValueCountFrequency (%)
2023 3
 
5.0%
2022 4
 
6.7%
2020 10
16.7%
2019 6
10.0%
2018 2
 
3.3%
2017 3
 
5.0%
2016 1
 
1.7%
2015 4
 
6.7%
2014 11
18.3%
2013 7
11.7%

보일러설치위치
Categorical

Distinct9
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
불현동
20 
상패동
18 
소요동
13 
생연1동
 
2
송내동
 
2
Other values (4)
5 

Length

Max length4
Median length3
Mean length3.05
Min length3

Unique

Unique3 ?
Unique (%)5.0%

Sample

1st row상패동
2nd row소요동
3rd row소요동
4th row소요동
5th row불현동

Common Values

ValueCountFrequency (%)
불현동 20
33.3%
상패동 18
30.0%
소요동 13
21.7%
생연1동 2
 
3.3%
송내동 2
 
3.3%
탑동동 2
 
3.3%
중앙동 1
 
1.7%
안흥동 1
 
1.7%
하봉암동 1
 
1.7%

Length

2023-12-12T23:43:02.988035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:43:03.102735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불현동 20
33.3%
상패동 18
30.0%
소요동 13
21.7%
생연1동 2
 
3.3%
송내동 2
 
3.3%
탑동동 2
 
3.3%
중앙동 1
 
1.7%
안흥동 1
 
1.7%
하봉암동 1
 
1.7%

보일러제조사
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
㈜귀뚜라미
54 
㈜규원테크
 
2
㈜넥스트 에너지 코리아
 
2
㈜경동나비엔
 
1
㈜태림에너지
 
1

Length

Max length12
Median length5
Mean length5.2666667
Min length5

Unique

Unique2 ?
Unique (%)3.3%

Sample

1st row㈜귀뚜라미
2nd row㈜귀뚜라미
3rd row㈜귀뚜라미
4th row㈜귀뚜라미
5th row㈜귀뚜라미

Common Values

ValueCountFrequency (%)
㈜귀뚜라미 54
90.0%
㈜규원테크 2
 
3.3%
㈜넥스트 에너지 코리아 2
 
3.3%
㈜경동나비엔 1
 
1.7%
㈜태림에너지 1
 
1.7%

Length

2023-12-12T23:43:03.242870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:43:03.407351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
㈜귀뚜라미 54
84.4%
㈜규원테크 2
 
3.1%
㈜넥스트 2
 
3.1%
에너지 2
 
3.1%
코리아 2
 
3.1%
㈜경동나비엔 1
 
1.6%
㈜태림에너지 1
 
1.6%

보일러모델명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
KRP 20-PA
30 
KRP-20B PLUS
14 
KRP-21B
4 
KRP-20B
 
3
K-20A
 
2
Other values (6)
7 

Length

Max length12
Median length9
Mean length9.2666667
Min length5

Unique

Unique5 ?
Unique (%)8.3%

Sample

1st rowKRP 20-PA
2nd rowKRP 20-PA
3rd rowKRP 20-PA
4th rowKRP 20-PA
5th rowKRP 20-PA

Common Values

ValueCountFrequency (%)
KRP 20-PA 30
50.0%
KRP-20B PLUS 14
23.3%
KRP-21B 4
 
6.7%
KRP-20B 3
 
5.0%
K-20A 2
 
3.3%
KRP-40PA 2
 
3.3%
PPB-25KD 1
 
1.7%
NEK-309A1 1
 
1.7%
NEK-309A2 1
 
1.7%
KRPS-20PAS 1
 
1.7%

Length

2023-12-12T23:43:03.549508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
krp 30
28.8%
20-pa 30
28.8%
krp-20b 17
16.3%
plus 14
13.5%
krp-21b 4
 
3.8%
k-20a 2
 
1.9%
krp-40pa 2
 
1.9%
ppb-25kd 1
 
1.0%
nek-309a1 1
 
1.0%
nek-309a2 1
 
1.0%
Other values (2) 2
 
1.9%

열효율(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.448333
Minimum87
Maximum95.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:43:03.685697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87
5-th percentile90.325
Q190.5
median95.45
Q395.9
95-th percentile95.9
Maximum95.9
Range8.9
Interquartile range (IQR)5.4

Descriptive statistics

Standard deviation2.7716171
Coefficient of variation (CV)0.029659353
Kurtosis-0.80048861
Mean93.448333
Median Absolute Deviation (MAD)0.45
Skewness-0.62501999
Sum5606.9
Variance7.6818616
MonotonicityNot monotonic
2023-12-12T23:43:03.818218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
95.9 30
50.0%
90.5 14
23.3%
92.4 7
 
11.7%
87.0 3
 
5.0%
91.4 2
 
3.3%
92.2 1
 
1.7%
95.0 1
 
1.7%
94.1 1
 
1.7%
91.0 1
 
1.7%
ValueCountFrequency (%)
87.0 3
 
5.0%
90.5 14
23.3%
91.0 1
 
1.7%
91.4 2
 
3.3%
92.2 1
 
1.7%
92.4 7
 
11.7%
94.1 1
 
1.7%
95.0 1
 
1.7%
95.9 30
50.0%
ValueCountFrequency (%)
95.9 30
50.0%
95.0 1
 
1.7%
94.1 1
 
1.7%
92.4 7
 
11.7%
92.2 1
 
1.7%
91.4 2
 
3.3%
91.0 1
 
1.7%
90.5 14
23.3%
87.0 3
 
5.0%

정격열출력KW(난방)
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.447667
Minimum8
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:43:03.938608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile23.134
Q123.3
median24
Q324
95-th percentile25.705
Maximum52
Range44
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation5.8531713
Coefficient of variation (CV)0.23941636
Kurtosis16.962948
Mean24.447667
Median Absolute Deviation (MAD)0.055
Skewness3.0513094
Sum1466.86
Variance34.259615
MonotonicityNot monotonic
2023-12-12T23:43:04.063556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
24.0 30
50.0%
23.3 14
23.3%
25.7 7
 
11.7%
23.89 2
 
3.3%
52.0 2
 
3.3%
25.8 1
 
1.7%
20.93 1
 
1.7%
23.25 1
 
1.7%
8.0 1
 
1.7%
11.0 1
 
1.7%
ValueCountFrequency (%)
8.0 1
 
1.7%
11.0 1
 
1.7%
20.93 1
 
1.7%
23.25 1
 
1.7%
23.3 14
23.3%
23.89 2
 
3.3%
24.0 30
50.0%
25.7 7
 
11.7%
25.8 1
 
1.7%
52.0 2
 
3.3%
ValueCountFrequency (%)
52.0 2
 
3.3%
25.8 1
 
1.7%
25.7 7
 
11.7%
24.0 30
50.0%
23.89 2
 
3.3%
23.3 14
23.3%
23.25 1
 
1.7%
20.93 1
 
1.7%
11.0 1
 
1.7%
8.0 1
 
1.7%

정격열출력KW(급탕)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.583667
Minimum0
Maximum50
Zeros2
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:43:04.186277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.9465
Q122
median22
Q325.1
95-th percentile26.8
Maximum50
Range50
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation6.7641791
Coefficient of variation (CV)0.28681626
Kurtosis11.12573
Mean23.583667
Median Absolute Deviation (MAD)0.045
Skewness0.61057588
Sum1415.02
Variance45.754119
MonotonicityNot monotonic
2023-12-12T23:43:04.335104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
22.0 30
50.0%
25.1 14
23.3%
26.8 7
 
11.7%
24.0 2
 
3.3%
50.0 2
 
3.3%
0.0 2
 
3.3%
25.0 1
 
1.7%
20.93 1
 
1.7%
22.09 1
 
1.7%
ValueCountFrequency (%)
0.0 2
 
3.3%
20.93 1
 
1.7%
22.0 30
50.0%
22.09 1
 
1.7%
24.0 2
 
3.3%
25.0 1
 
1.7%
25.1 14
23.3%
26.8 7
 
11.7%
50.0 2
 
3.3%
ValueCountFrequency (%)
50.0 2
 
3.3%
26.8 7
 
11.7%
25.1 14
23.3%
25.0 1
 
1.7%
24.0 2
 
3.3%
22.09 1
 
1.7%
22.0 30
50.0%
20.93 1
 
1.7%
0.0 2
 
3.3%

연료소비량(kg_h)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3531667
Minimum0
Maximum11
Zeros2
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:43:04.456608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.28
Q15.3
median5.3
Q35.37
95-th percentile5.4725
Maximum11
Range11
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation1.436464
Coefficient of variation (CV)0.26833911
Kurtosis13.041648
Mean5.3531667
Median Absolute Deviation (MAD)0
Skewness0.31578993
Sum321.19
Variance2.0634288
MonotonicityNot monotonic
2023-12-12T23:43:04.576348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5.3 31
51.7%
5.37 14
23.3%
5.43 7
 
11.7%
5.45 2
 
3.3%
11.0 2
 
3.3%
0.0 2
 
3.3%
5.9 1
 
1.7%
4.9 1
 
1.7%
ValueCountFrequency (%)
0.0 2
 
3.3%
4.9 1
 
1.7%
5.3 31
51.7%
5.37 14
23.3%
5.43 7
 
11.7%
5.45 2
 
3.3%
5.9 1
 
1.7%
11.0 2
 
3.3%
ValueCountFrequency (%)
11.0 2
 
3.3%
5.9 1
 
1.7%
5.45 2
 
3.3%
5.43 7
 
11.7%
5.37 14
23.3%
5.3 31
51.7%
4.9 1
 
1.7%
0.0 2
 
3.3%

설치업체
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
㈜귀뚜라미
54 
㈜규원테크
 
2
㈜넥스트 에너지 코리아
 
2
㈜경동나비엔
 
1
㈜태림에너지
 
1

Length

Max length12
Median length5
Mean length5.2666667
Min length5

Unique

Unique2 ?
Unique (%)3.3%

Sample

1st row㈜귀뚜라미
2nd row㈜귀뚜라미
3rd row㈜귀뚜라미
4th row㈜귀뚜라미
5th row㈜귀뚜라미

Common Values

ValueCountFrequency (%)
㈜귀뚜라미 54
90.0%
㈜규원테크 2
 
3.3%
㈜넥스트 에너지 코리아 2
 
3.3%
㈜경동나비엔 1
 
1.7%
㈜태림에너지 1
 
1.7%

Length

2023-12-12T23:43:04.731803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:43:04.836303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
㈜귀뚜라미 54
84.4%
㈜규원테크 2
 
3.1%
㈜넥스트 2
 
3.1%
에너지 2
 
3.1%
코리아 2
 
3.1%
㈜경동나비엔 1
 
1.6%
㈜태림에너지 1
 
1.6%

설치업체주소
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
경상북도 청도군 청도읍 월곡2길 34
42 
경상북도 청도군 청도읍 월곡2길 35
5 
경상북도 청도군 청도읍 월곡2길 40
 
3
경상북도 경산시 남산면 송내리 33-1
 
2
경기도 평택시 세교동 437
 
1
Other values (7)
7 

Length

Max length25
Median length20
Mean length20.083333
Min length16

Unique

Unique8 ?
Unique (%)13.3%

Sample

1st row경상북도 청도군 청도읍 월곡2길 34
2nd row경상북도 청도군 청도읍 월곡2길 34
3rd row경상북도 청도군 청도읍 월곡2길 34
4th row경상북도 청도군 청도읍 월곡2길 34
5th row경상북도 청도군 청도읍 월곡2길 34

Common Values

ValueCountFrequency (%)
경상북도 청도군 청도읍 월곡2길 34 42
70.0%
경상북도 청도군 청도읍 월곡2길 35 5
 
8.3%
경상북도 청도군 청도읍 월곡2길 40 3
 
5.0%
경상북도 경산시 남산면 송내리 33-1 2
 
3.3%
경기도 평택시 세교동 437 1
 
1.7%
경기도 광주시 도척면 궁평리 179-2 1
 
1.7%
경상북도 청도군 청도읍 월곡2길 36 1
 
1.7%
경상북도 청도군 청도읍 월곡2길 37 1
 
1.7%
경상북도 청도군 청도읍 월곡2길 38 1
 
1.7%
경상북도 청도군 청도읍 월곡2길 39 1
 
1.7%
Other values (2) 2
 
3.3%

Length

2023-12-12T23:43:04.970471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상북도 56
18.7%
청도읍 54
18.1%
월곡2길 54
18.1%
청도군 54
18.1%
34 42
14.0%
35 5
 
1.7%
경기도 4
 
1.3%
40 3
 
1.0%
광주시 3
 
1.0%
경충대로 2
 
0.7%
Other values (18) 22
 
7.4%

연락처
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
054-371-9000
42 
054-371-9001
5 
054-371-9006
 
3
053-856-5900
 
2
031-764-5616
 
2
Other values (6)
6 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique6 ?
Unique (%)10.0%

Sample

1st row054-371-9000
2nd row054-371-9000
3rd row054-371-9000
4th row054-371-9000
5th row054-371-9000

Common Values

ValueCountFrequency (%)
054-371-9000 42
70.0%
054-371-9001 5
 
8.3%
054-371-9006 3
 
5.0%
053-856-5900 2
 
3.3%
031-764-5616 2
 
3.3%
031-659-1144 1
 
1.7%
054-371-9002 1
 
1.7%
054-371-9003 1
 
1.7%
054-371-9004 1
 
1.7%
054-371-9005 1
 
1.7%

Length

2023-12-12T23:43:05.109782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
054-371-9000 42
70.0%
054-371-9001 5
 
8.3%
054-371-9006 3
 
5.0%
053-856-5900 2
 
3.3%
031-764-5616 2
 
3.3%
031-659-1144 1
 
1.7%
054-371-9002 1
 
1.7%
054-371-9003 1
 
1.7%
054-371-9004 1
 
1.7%
054-371-9005 1
 
1.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
경기도 동두천시청 공원녹지과
60 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 동두천시청 공원녹지과 60
100.0%

Length

2023-12-12T23:43:05.247290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:43:05.345250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 60
33.3%
동두천시청 60
33.3%
공원녹지과 60
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
031-860-2472
60 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-860-2472
2nd row031-860-2472
3rd row031-860-2472
4th row031-860-2472
5th row031-860-2472

Common Values

ValueCountFrequency (%)
031-860-2472 60
100.0%

Length

2023-12-12T23:43:05.438795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:43:05.539351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-860-2472 60
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2023-10-04 00:00:00
Maximum2023-10-04 00:00:00
2023-12-12T23:43:05.636179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:05.778366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:43:01.522617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:59.745625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:00.178590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:00.641228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:01.109709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:01.607574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:59.825908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:00.258077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:00.750118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:01.186894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:01.675883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:42:59.921815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:00.349724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:00.867224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:01.273973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:01.743936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:00.004438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:00.434036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:00.940024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:01.350130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:01.830720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:00.093370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:00.537528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:01.023993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:43:01.430476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:43:05.878057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분년도보일러설치위치보일러제조사보일러모델명열효율(퍼센트)정격열출력KW(난방)정격열출력KW(급탕)연료소비량(kg_h)설치업체설치업체주소연락처
구분1.0000.9220.5650.0000.6970.6620.4340.5460.3110.0000.1480.259
년도0.9221.0000.6880.3010.7750.7950.7180.7370.5220.3010.6260.589
보일러설치위치0.5650.6881.0000.5250.6210.5040.5030.6030.5710.5250.1970.000
보일러제조사0.0000.3010.5251.0001.0000.9100.8400.4300.7371.0001.0001.000
보일러모델명0.6970.7750.6211.0001.0001.0001.0001.0001.0001.0000.9190.951
열효율(퍼센트)0.6620.7950.5040.9101.0001.0000.9090.9740.9750.9100.9530.876
정격열출력KW(난방)0.4340.7180.5030.8401.0000.9091.0000.8710.8480.8400.7450.600
정격열출력KW(급탕)0.5460.7370.6030.4301.0000.9740.8711.0000.9810.4300.7330.634
연료소비량(kg_h)0.3110.5220.5710.7371.0000.9750.8480.9811.0000.7370.9030.802
설치업체0.0000.3010.5251.0001.0000.9100.8400.4300.7371.0001.0001.000
설치업체주소0.1480.6260.1971.0000.9190.9530.7450.7330.9031.0001.0001.000
연락처0.2590.5890.0001.0000.9510.8760.6000.6340.8021.0001.0001.000
2023-12-12T23:43:06.043153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보일러모델명설치업체주소구분설치업체연락처보일러설치위치보일러제조사
보일러모델명1.0000.6900.4990.9440.6130.3290.944
설치업체주소0.6901.0000.0220.9340.9900.0560.934
구분0.4990.0221.0000.0000.1340.2790.000
설치업체0.9440.9340.0001.0000.9440.3211.000
연락처0.6130.9900.1340.9441.0000.0000.944
보일러설치위치0.3290.0560.2790.3210.0001.0000.321
보일러제조사0.9440.9340.0001.0000.9440.3211.000
2023-12-12T23:43:06.202896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도열효율(퍼센트)정격열출력KW(난방)정격열출력KW(급탕)연료소비량(kg_h)구분보일러설치위치보일러제조사보일러모델명설치업체설치업체주소연락처
년도1.0000.2200.023-0.398-0.4280.6450.2870.0000.4270.0000.2460.256
열효율(퍼센트)0.2201.0000.403-0.703-0.6730.5140.2680.8230.9710.8230.7540.653
정격열출력KW(난방)0.0230.4031.0000.1680.2270.3570.3040.4720.9440.4720.4970.359
정격열출력KW(급탕)-0.398-0.7030.1681.0000.9430.5310.4150.3510.9350.3510.3830.406
연료소비량(kg_h)-0.428-0.6730.2270.9431.0000.2950.3830.6730.9350.6730.5770.593
구분0.6450.5140.3570.5310.2951.0000.2790.0000.4990.0000.0220.134
보일러설치위치0.2870.2680.3040.4150.3830.2791.0000.3210.3290.3210.0560.000
보일러제조사0.0000.8230.4720.3510.6730.0000.3211.0000.9441.0000.9340.944
보일러모델명0.4270.9710.9440.9350.9350.4990.3290.9441.0000.9440.6900.613
설치업체0.0000.8230.4720.3510.6730.0000.3211.0000.9441.0000.9340.944
설치업체주소0.2460.7540.4970.3830.5770.0220.0560.9340.6900.9341.0000.990
연락처0.2560.6530.3590.4060.5930.1340.0000.9440.6130.9440.9901.000

Missing values

2023-12-12T23:43:01.937866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:43:02.105747image/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

구분년도보일러설치위치보일러제조사보일러모델명열효율(퍼센트)정격열출력KW(난방)정격열출력KW(급탕)연료소비량(kg_h)설치업체설치업체주소연락처관리기관명관리기관전화번호데이터기준일자
0가정용2011상패동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
1가정용2011소요동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
2가정용2011소요동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
3가정용2011소요동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
4가정용2011불현동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
5가정용2012소요동㈜경동나비엔PPB-25KD92.225.825.05.9㈜경동나비엔경기도 평택시 세교동 437031-659-1144경기도 동두천시청 공원녹지과031-860-24722023-10-04
6가정용2012소요동㈜규원테크K-20A91.423.8924.05.45㈜규원테크경상북도 경산시 남산면 송내리 33-1053-856-5900경기도 동두천시청 공원녹지과031-860-24722023-10-04
7가정용2012불현동㈜넥스트 에너지 코리아NEK-309A195.020.9320.934.9㈜넥스트 에너지 코리아경기도 광주시 도척면 궁평리 179-2031-764-5616경기도 동두천시청 공원녹지과031-860-24722023-10-04
8가정용2012생연1동㈜귀뚜라미KRP-20B92.425.726.85.43㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
9가정용2013상패동㈜귀뚜라미KRP-20B92.425.726.85.43㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
구분년도보일러설치위치보일러제조사보일러모델명열효율(퍼센트)정격열출력KW(난방)정격열출력KW(급탕)연료소비량(kg_h)설치업체설치업체주소연락처관리기관명관리기관전화번호데이터기준일자
50사회복지용2020불현동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
51사회복지용2020불현동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
52사회복지용2020불현동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
53주택용2022상패동㈜귀뚜라미KRP-40PA87.052.050.011.0㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
54주택용2022상패동㈜귀뚜라미KRPS-20PAS87.08.00.00.0㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
55사회복지용2022송내동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
56사회복지용2022탑동동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
57주택용2023안흥동㈜귀뚜라미KRP-40PA87.052.050.011.0㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04
58주택용2023탑동동㈜태림에너지TR-450091.011.00.00.0㈜태림에너지경기도 광주시 곤지암 경충대로 330031-797-9959경기도 동두천시청 공원녹지과031-860-24722023-10-04
59사회복지용2023하봉암동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-04

Duplicate rows

Most frequently occurring

구분년도보일러설치위치보일러제조사보일러모델명열효율(퍼센트)정격열출력KW(난방)정격열출력KW(급탕)연료소비량(kg_h)설치업체설치업체주소연락처관리기관명관리기관전화번호데이터기준일자# duplicates
4가정용2015불현동㈜귀뚜라미KRP-20B PLUS90.523.325.15.37㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 35054-371-9001경기도 동두천시청 공원녹지과031-860-24722023-10-044
8주택용2020불현동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-044
0가정용2011소요동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-043
5사회복지용2020불현동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-043
7주택용2019상패동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-043
1가정용2013상패동㈜귀뚜라미KRP-20B92.425.726.85.43㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-042
2가정용2013소요동㈜귀뚜라미KRP-21B92.425.726.85.43㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-042
3가정용2014소요동㈜귀뚜라미KRP-20B PLUS90.523.325.15.37㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 40054-371-9006경기도 동두천시청 공원녹지과031-860-24722023-10-042
6사회복지용2020상패동㈜귀뚜라미KRP 20-PA95.924.022.05.3㈜귀뚜라미경상북도 청도군 청도읍 월곡2길 34054-371-9000경기도 동두천시청 공원녹지과031-860-24722023-10-042