Overview

Dataset statistics

Number of variables15
Number of observations23
Missing cells5
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory130.7 B

Variable types

Numeric2
Categorical7
Text5
DateTime1

Dataset

Description펠릿보일러 및 난로 : 건조된 톱밥을 압축하거나 톱밥처럼 나무를 작게 분쇄한 뒤에 작은 원통 모양으로 만든 것을 연료로 사용하는 보일러 혹은 난로. 펠릿보일러 및 난로 설치사업은 산림바이오매스 신재생에너지 이용 활성화를 목적으로 추진 ※ 참고 : 2016 ~ 2022년 목재펠릿보일러 설치 없음.
URLhttps://www.data.go.kr/data/15113669/fileData.do

Alerts

시군 has constant value ""Constant
정부보조금(원) is highly overall correlated with 연번 and 5 other fieldsHigh correlation
총사업비(원) is highly overall correlated with 연번 and 5 other fieldsHigh correlation
자부담(원) is highly overall correlated with 연번 and 5 other fieldsHigh correlation
연번 is highly overall correlated with 정부보조금(원) and 4 other fieldsHigh correlation
제품규격(kW) is highly overall correlated with 정부보조금(원) and 4 other fieldsHigh correlation
제작업체 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
모델명 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
제품규격(kW) has 3 (13.0%) missing valuesMissing
설치업체_연락처 has 2 (8.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:39:37.783189
Analysis finished2023-12-12 10:39:40.039712
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T19:39:40.124030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-12T19:39:40.265413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

시군
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
고양시
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 23
100.0%

Length

2023-12-12T19:39:40.404968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:39:40.509570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양시 23
100.0%

설치자
Categorical

Distinct11
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Memory size316.0 B
김○○
6 
이○○
5 
○○○○요양원
2 
박○○
2 
강○○
2 
Other values (6)
6 

Length

Max length7
Median length3
Mean length3.3478261
Min length3

Unique

Unique6 ?
Unique (%)26.1%

Sample

1st row이○○
2nd row○○○○요양원
3rd row○○○○요양원
4th row최○○
5th row박○○

Common Values

ValueCountFrequency (%)
김○○ 6
26.1%
이○○ 5
21.7%
○○○○요양원 2
 
8.7%
박○○ 2
 
8.7%
강○○ 2
 
8.7%
최○○ 1
 
4.3%
조○○ 1
 
4.3%
방○○ 1
 
4.3%
심○○ 1
 
4.3%
유○○ 1
 
4.3%

Length

2023-12-12T19:39:40.626257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김○○ 6
26.1%
이○○ 5
21.7%
○○○○요양원 2
 
8.7%
박○○ 2
 
8.7%
강○○ 2
 
8.7%
최○○ 1
 
4.3%
조○○ 1
 
4.3%
방○○ 1
 
4.3%
심○○ 1
 
4.3%
유○○ 1
 
4.3%

설치장소
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:39:40.824498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length14.521739
Min length12

Characters and Unicode

Total characters334
Distinct characters54
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

Unique18 ?
Unique (%)78.3%

Sample

1st row경기도 고양시 일산동구 동국로 245번길 00-00
2nd row경기도 고양시 덕양구 고골길264번길00-0
3rd row경기도 고양시 일산동구 고봉로678번길000-0
4th row경기도 고양시 일산서구 가좌동
5th row경기도 고양시 덕양구 원당동
ValueCountFrequency (%)
고양시 23
30.3%
덕양구 10
13.2%
일산동구 7
 
9.2%
일산서구 6
 
7.9%
경기도 5
 
6.6%
법곳동 4
 
5.3%
강매동 2
 
2.6%
내유동 1
 
1.3%
00-00 1
 
1.3%
245번길 1
 
1.3%
Other values (16) 16
21.1%
2023-12-12T19:39:41.267104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
21.0%
양 33
 
9.9%
동 28
 
8.4%
고 25
 
7.5%
시 23
 
6.9%
구 23
 
6.9%
일 13
 
3.9%
산 13
 
3.9%
0 11
 
3.3%
덕 10
 
3.0%
Other values (44) 85
25.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
72.2%
Space Separator 70
 
21.0%
Decimal Number 20
 
6.0%
Dash Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 33
13.7%
동 28
11.6%
고 25
10.4%
시 23
 
9.5%
구 23
 
9.5%
일 13
 
5.4%
산 13
 
5.4%
덕 10
 
4.1%
서 6
 
2.5%
경 5
 
2.1%
Other values (35) 62
25.7%
Decimal Number
ValueCountFrequency (%)
0 11
55.0%
6 2
 
10.0%
4 2
 
10.0%
2 2
 
10.0%
5 1
 
5.0%
8 1
 
5.0%
7 1
 
5.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 241
72.2%
Common 93
 
27.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 33
13.7%
동 28
11.6%
고 25
10.4%
시 23
 
9.5%
구 23
 
9.5%
일 13
 
5.4%
산 13
 
5.4%
덕 10
 
4.1%
서 6
 
2.5%
경 5
 
2.1%
Other values (35) 62
25.7%
Common
ValueCountFrequency (%)
70
75.3%
0 11
 
11.8%
- 3
 
3.2%
6 2
 
2.2%
4 2
 
2.2%
2 2
 
2.2%
5 1
 
1.1%
8 1
 
1.1%
7 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 241
72.2%
ASCII 93
 
27.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
75.3%
0 11
 
11.8%
- 3
 
3.2%
6 2
 
2.2%
4 2
 
2.2%
2 2
 
2.2%
5 1
 
1.1%
8 1
 
1.1%
7 1
 
1.1%
Hangul
ValueCountFrequency (%)
양 33
13.7%
동 28
11.6%
고 25
10.4%
시 23
 
9.5%
구 23
 
9.5%
일 13
 
5.4%
산 13
 
5.4%
덕 10
 
4.1%
서 6
 
2.5%
경 5
 
2.1%
Other values (35) 62
25.7%

정부보조금(원)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2660000
13 
2590000
5 
3977000
2 
3290000
2 
2688560
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row2688560
2nd row3977000
3rd row3977000
4th row3290000
5th row3290000

Common Values

ValueCountFrequency (%)
2660000 13
56.5%
2590000 5
 
21.7%
3977000 2
 
8.7%
3290000 2
 
8.7%
2688560 1
 
4.3%

Length

2023-12-12T19:39:41.468460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:39:41.589227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2660000 13
56.5%
2590000 5
 
21.7%
3977000 2
 
8.7%
3290000 2
 
8.7%
2688560 1
 
4.3%

자부담(원)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
1140000
13 
1110000
5 
0
2 
1410000
2 
1152240
 
1

Length

Max length7
Median length7
Mean length6.4782609
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row1152240
2nd row0
3rd row0
4th row1410000
5th row1410000

Common Values

ValueCountFrequency (%)
1140000 13
56.5%
1110000 5
 
21.7%
0 2
 
8.7%
1410000 2
 
8.7%
1152240 1
 
4.3%

Length

2023-12-12T19:39:41.737394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:39:41.886373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1140000 13
56.5%
1110000 5
 
21.7%
0 2
 
8.7%
1410000 2
 
8.7%
1152240 1
 
4.3%

총사업비(원)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
3800000
13 
3700000
5 
3977000
2 
4700000
2 
3840800
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row3840800
2nd row3977000
3rd row3977000
4th row4700000
5th row4700000

Common Values

ValueCountFrequency (%)
3800000 13
56.5%
3700000 5
 
21.7%
3977000 2
 
8.7%
4700000 2
 
8.7%
3840800 1
 
4.3%

Length

2023-12-12T19:39:42.047963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:39:42.180059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3800000 13
56.5%
3700000 5
 
21.7%
3977000 2
 
8.7%
4700000 2
 
8.7%
3840800 1
 
4.3%

사업완료일
Date

Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2009-03-25 00:00:00
Maximum2015-06-09 00:00:00
2023-12-12T19:39:42.331145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:39:42.479605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

제작업체
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
귀뚜라미
5 
㈜귀뚜라미
4 
㈜경동나비엔
3 
㈜한강에너지산업
3 
현대보일러
3 
Other values (4)
5 

Length

Max length10
Median length9
Mean length5.826087
Min length4

Unique

Unique3 ?
Unique (%)13.0%

Sample

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

Common Values

ValueCountFrequency (%)
귀뚜라미 5
21.7%
㈜귀뚜라미 4
17.4%
㈜경동나비엔 3
13.0%
㈜한강에너지산업 3
13.0%
현대보일러 3
13.0%
귀뚜라미보일러 2
 
8.7%
규원테크 1
 
4.3%
㈜넥스트에너지코리아 1
 
4.3%
에프앤디인터내셔널 1
 
4.3%

Length

2023-12-12T19:39:42.654436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:39:42.882771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
귀뚜라미 5
21.7%
㈜귀뚜라미 4
17.4%
㈜경동나비엔 3
13.0%
㈜한강에너지산업 3
13.0%
현대보일러 3
13.0%
귀뚜라미보일러 2
 
8.7%
규원테크 1
 
4.3%
㈜넥스트에너지코리아 1
 
4.3%
에프앤디인터내셔널 1
 
4.3%

모델명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
KRP-25
5 
KRP-20
4 
HK-400
3 
HD30P
3 
펠릿보일러(KRP-20B)
2 
Other values (5)
6 

Length

Max length16
Median length6
Mean length7.3913043
Min length5

Unique

Unique4 ?
Unique (%)17.4%

Sample

1st rowk-23A
2nd row펠릿보일러(KRP-20B)
3rd row펠릿보일러(KRP-20B)
4th row펠렛보일러(PPB-25K)
5th row펠릿보일러(NEK-309A1)

Common Values

ValueCountFrequency (%)
KRP-25 5
21.7%
KRP-20 4
17.4%
HK-400 3
13.0%
HD30P 3
13.0%
펠릿보일러(KRP-20B) 2
 
8.7%
PPB-25K 2
 
8.7%
k-23A 1
 
4.3%
펠렛보일러(PPB-25K) 1
 
4.3%
펠릿보일러(NEK-309A1) 1
 
4.3%
FB-400 1
 
4.3%

Length

2023-12-12T19:39:43.098957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:39:43.282999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krp-25 5
21.7%
krp-20 4
17.4%
hk-400 3
13.0%
hd30p 3
13.0%
펠릿보일러(krp-20b 2
 
8.7%
ppb-25k 2
 
8.7%
k-23a 1
 
4.3%
펠렛보일러(ppb-25k 1
 
4.3%
펠릿보일러(nek-309a1 1
 
4.3%
fb-400 1
 
4.3%

제품규격(kW)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)30.0%
Missing3
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean25.039
Minimum20.93
Maximum29.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T19:39:43.462255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.93
5-th percentile23.0865
Q123.2
median23.3
Q327.4125
95-th percentile29.1
Maximum29.1
Range8.17
Interquartile range (IQR)4.2125

Descriptive statistics

Standard deviation2.6621813
Coefficient of variation (CV)0.10632139
Kurtosis-1.0099428
Mean25.039
Median Absolute Deviation (MAD)0.9
Skewness0.66340491
Sum500.78
Variance7.0872095
MonotonicityNot monotonic
2023-12-12T19:39:43.626387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
23.3 5
21.7%
23.2 5
21.7%
29.1 5
21.7%
25.0 3
13.0%
26.85 1
 
4.3%
20.93 1
 
4.3%
(Missing) 3
13.0%
ValueCountFrequency (%)
20.93 1
 
4.3%
23.2 5
21.7%
23.3 5
21.7%
25.0 3
13.0%
26.85 1
 
4.3%
29.1 5
21.7%
ValueCountFrequency (%)
29.1 5
21.7%
26.85 1
 
4.3%
25.0 3
13.0%
23.3 5
21.7%
23.2 5
21.7%
20.93 1
 
4.3%

설치업체
Text

Distinct12
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:39:43.841475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.2173913
Min length4

Characters and Unicode

Total characters166
Distinct characters62
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)30.4%

Sample

1st row규원테크
2nd row㈜귀뚜라미보일러
3rd row㈜귀뚜라미보일러
4th row㈜경동나비엔
5th row㈜넥스트에너지코리아
ValueCountFrequency (%)
㈜대상에스코테크 5
20.0%
㈜계풍홈테크 4
16.0%
현대에너지개발 3
12.0%
㈜귀뚜라미보일러 2
 
8.0%
주식회사 2
 
8.0%
백일 2
 
8.0%
규원테크 1
 
4.0%
㈜경동나비엔 1
 
4.0%
㈜넥스트에너지코리아 1
 
4.0%
유)미래인더스트리 1
 
4.0%
Other values (3) 3
12.0%
2023-12-12T19:39:44.257139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 14
 
8.4%
에 10
 
6.0%
테 10
 
6.0%
크 10
 
6.0%
스 8
 
4.8%
대 8
 
4.8%
코 6
 
3.6%
상 5
 
3.0%
지 4
 
2.4%
일 4
 
2.4%
Other values (52) 87
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145
87.3%
Other Symbol 14
 
8.4%
Uppercase Letter 3
 
1.8%
Space Separator 2
 
1.2%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 10
 
6.9%
테 10
 
6.9%
크 10
 
6.9%
스 8
 
5.5%
대 8
 
5.5%
코 6
 
4.1%
상 5
 
3.4%
지 4
 
2.8%
일 4
 
2.8%
너 4
 
2.8%
Other values (45) 76
52.4%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
N 1
33.3%
G 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
95.8%
Common 4
 
2.4%
Latin 3
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 14
 
8.8%
에 10
 
6.3%
테 10
 
6.3%
크 10
 
6.3%
스 8
 
5.0%
대 8
 
5.0%
코 6
 
3.8%
상 5
 
3.1%
지 4
 
2.5%
일 4
 
2.5%
Other values (46) 80
50.3%
Common
ValueCountFrequency (%)
2
50.0%
) 1
25.0%
( 1
25.0%
Latin
ValueCountFrequency (%)
E 1
33.3%
N 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145
87.3%
None 14
 
8.4%
ASCII 7
 
4.2%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 14
100.0%
Hangul
ValueCountFrequency (%)
에 10
 
6.9%
테 10
 
6.9%
크 10
 
6.9%
스 8
 
5.5%
대 8
 
5.5%
코 6
 
4.1%
상 5
 
3.4%
지 4
 
2.8%
일 4
 
2.8%
너 4
 
2.8%
Other values (45) 76
52.4%
ASCII
ValueCountFrequency (%)
2
28.6%
E 1
14.3%
N 1
14.3%
G 1
14.3%
) 1
14.3%
( 1
14.3%

설치업체_대표자
Text

Distinct12
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:39:44.475099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
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

Unique7 ?
Unique (%)30.4%

Sample

1st row왕재국
2nd row이종기
3rd row이종기
4th row최재범
5th row이준선
ValueCountFrequency (%)
유홍열 5
21.7%
이병균 4
17.4%
이향희 3
13.0%
이종기 2
 
8.7%
백정흠 2
 
8.7%
왕재국 1
 
4.3%
최재범 1
 
4.3%
이준선 1
 
4.3%
이용선 1
 
4.3%
이광연 1
 
4.3%
Other values (2) 2
 
8.7%
2023-12-12T19:39:44.878502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 13
18.8%
유 5
 
7.2%
열 5
 
7.2%
홍 5
 
7.2%
병 4
 
5.8%
균 4
 
5.8%
희 4
 
5.8%
향 3
 
4.3%
정 2
 
2.9%
재 2
 
2.9%
Other values (17) 22
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 13
18.8%
유 5
 
7.2%
열 5
 
7.2%
홍 5
 
7.2%
병 4
 
5.8%
균 4
 
5.8%
희 4
 
5.8%
향 3
 
4.3%
정 2
 
2.9%
재 2
 
2.9%
Other values (17) 22
31.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 13
18.8%
유 5
 
7.2%
열 5
 
7.2%
홍 5
 
7.2%
병 4
 
5.8%
균 4
 
5.8%
희 4
 
5.8%
향 3
 
4.3%
정 2
 
2.9%
재 2
 
2.9%
Other values (17) 22
31.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 13
18.8%
유 5
 
7.2%
열 5
 
7.2%
홍 5
 
7.2%
병 4
 
5.8%
균 4
 
5.8%
희 4
 
5.8%
향 3
 
4.3%
정 2
 
2.9%
재 2
 
2.9%
Other values (17) 22
31.9%

설치업체_연락처
Text

MISSING 

Distinct11
Distinct (%)52.4%
Missing2
Missing (%)8.7%
Memory size316.0 B
2023-12-12T19:39:45.100977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.761905
Min length9

Characters and Unicode

Total characters247
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

Unique7 ?
Unique (%)33.3%

Sample

1st row053-856-5900
2nd row1588-1144
3rd row031-764-5616
4th row031-298-9000
5th row063-236-4521
ValueCountFrequency (%)
031-298-9000 5
23.8%
02-3493-9000 4
19.0%
041-548-3380 3
14.3%
031-945-4100 2
 
9.5%
053-856-5900 1
 
4.8%
1588-1144 1
 
4.8%
031-764-5616 1
 
4.8%
063-236-4521 1
 
4.8%
02-568-6300 1
 
4.8%
031-975-6640 1
 
4.8%
2023-12-12T19:39:45.479670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60
24.3%
- 41
16.6%
3 28
11.3%
9 23
 
9.3%
4 20
 
8.1%
1 19
 
7.7%
8 16
 
6.5%
2 14
 
5.7%
5 14
 
5.7%
6 10
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 206
83.4%
Dash Punctuation 41
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
29.1%
3 28
13.6%
9 23
 
11.2%
4 20
 
9.7%
1 19
 
9.2%
8 16
 
7.8%
2 14
 
6.8%
5 14
 
6.8%
6 10
 
4.9%
7 2
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 247
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60
24.3%
- 41
16.6%
3 28
11.3%
9 23
 
9.3%
4 20
 
8.1%
1 19
 
7.7%
8 16
 
6.5%
2 14
 
5.7%
5 14
 
5.7%
6 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60
24.3%
- 41
16.6%
3 28
11.3%
9 23
 
9.3%
4 20
 
8.1%
1 19
 
7.7%
8 16
 
6.5%
2 14
 
5.7%
5 14
 
5.7%
6 10
 
4.0%

설치업체_주소
Text

Distinct12
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:39:45.705984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length20.956522
Min length15

Characters and Unicode

Total characters482
Distinct characters93
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)30.4%

Sample

1st row경상북도 경산시 남산면 송내리 33-1
2nd row경상북도 청도군 청도읍 월곡2길 34
3rd row경상북도 청도군 청도읍 월곡2길 34
4th row경기도 평택시 세교동 437
5th row경기도 광주시 도척면 궁평리 179-2(담당자 최광섭)
ValueCountFrequency (%)
경기도 10
 
9.1%
봉담면 5
 
4.5%
덕리 5
 
4.5%
177-2 5
 
4.5%
화성시 5
 
4.5%
서울특별시 4
 
3.6%
도봉구 4
 
3.6%
방학1동 4
 
3.6%
706-1 4
 
3.6%
선창리 3
 
2.7%
Other values (43) 61
55.5%
2023-12-12T19:39:46.144164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
18.0%
1 22
 
4.6%
도 22
 
4.6%
7 20
 
4.1%
시 19
 
3.9%
- 17
 
3.5%
경 14
 
2.9%
동 12
 
2.5%
3 12
 
2.5%
2 12
 
2.5%
Other values (83) 245
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
56.8%
Decimal Number 101
 
21.0%
Space Separator 87
 
18.0%
Dash Punctuation 17
 
3.5%
Uppercase Letter 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 22
 
8.0%
시 19
 
6.9%
경 14
 
5.1%
동 12
 
4.4%
리 10
 
3.6%
면 10
 
3.6%
기 10
 
3.6%
산 9
 
3.3%
봉 9
 
3.3%
구 8
 
2.9%
Other values (68) 151
55.1%
Decimal Number
ValueCountFrequency (%)
1 22
21.8%
7 20
19.8%
3 12
11.9%
2 12
11.9%
0 8
 
7.9%
4 7
 
6.9%
9 7
 
6.9%
5 6
 
5.9%
6 5
 
5.0%
8 2
 
2.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
56.8%
Common 207
42.9%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 22
 
8.0%
시 19
 
6.9%
경 14
 
5.1%
동 12
 
4.4%
리 10
 
3.6%
면 10
 
3.6%
기 10
 
3.6%
산 9
 
3.3%
봉 9
 
3.3%
구 8
 
2.9%
Other values (68) 151
55.1%
Common
ValueCountFrequency (%)
87
42.0%
1 22
 
10.6%
7 20
 
9.7%
- 17
 
8.2%
3 12
 
5.8%
2 12
 
5.8%
0 8
 
3.9%
4 7
 
3.4%
9 7
 
3.4%
5 6
 
2.9%
Other values (4) 9
 
4.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
56.8%
ASCII 208
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
41.8%
1 22
 
10.6%
7 20
 
9.6%
- 17
 
8.2%
3 12
 
5.8%
2 12
 
5.8%
0 8
 
3.8%
4 7
 
3.4%
9 7
 
3.4%
5 6
 
2.9%
Other values (5) 10
 
4.8%
Hangul
ValueCountFrequency (%)
도 22
 
8.0%
시 19
 
6.9%
경 14
 
5.1%
동 12
 
4.4%
리 10
 
3.6%
면 10
 
3.6%
기 10
 
3.6%
산 9
 
3.3%
봉 9
 
3.3%
구 8
 
2.9%
Other values (68) 151
55.1%

Interactions

2023-12-12T19:39:39.215604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:39:38.681050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:39:39.315987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:39:38.763291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:39:46.277753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치자설치장소정부보조금(원)자부담(원)총사업비(원)사업완료일제작업체모델명제품규격(kW)설치업체설치업체_대표자설치업체_연락처설치업체_주소
연번1.0000.6270.9870.9620.9620.9620.9530.8450.9360.7780.8390.8390.8380.839
설치자0.6271.0000.0000.6860.6860.6860.5400.2110.6870.4360.6090.6090.0000.609
설치장소0.9870.0001.0001.0001.0001.0000.9741.0001.0001.0001.0001.0001.0001.000
정부보조금(원)0.9620.6861.0001.0001.0001.0001.0000.8900.9980.9290.9720.9720.9610.972
자부담(원)0.9620.6861.0001.0001.0001.0001.0000.8900.9980.9290.9720.9720.9610.972
총사업비(원)0.9620.6861.0001.0001.0001.0001.0000.8900.9980.9290.9720.9720.9610.972
사업완료일0.9530.5400.9741.0001.0001.0001.0000.9700.9731.0000.9590.9590.9440.959
제작업체0.8450.2111.0000.8900.8900.8900.9701.0000.9781.0000.9720.9720.9530.972
모델명0.9360.6871.0000.9980.9980.9980.9730.9781.0001.0000.9790.9790.9690.979
제품규격(kW)0.7780.4361.0000.9290.9290.9291.0001.0001.0001.0000.9720.9720.9980.972
설치업체0.8390.6091.0000.9720.9720.9720.9590.9720.9790.9721.0001.0001.0001.000
설치업체_대표자0.8390.6091.0000.9720.9720.9720.9590.9720.9790.9721.0001.0001.0001.000
설치업체_연락처0.8380.0001.0000.9610.9610.9610.9440.9530.9690.9981.0001.0001.0001.000
설치업체_주소0.8390.6091.0000.9720.9720.9720.9590.9720.9790.9721.0001.0001.0001.000
2023-12-12T19:39:46.575574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치자정부보조금(원)총사업비(원)자부담(원)모델명제작업체
설치자1.0000.3540.3540.3540.3210.000
정부보조금(원)0.3541.0001.0001.0000.7990.677
총사업비(원)0.3541.0001.0001.0000.7990.677
자부담(원)0.3541.0001.0001.0000.7990.677
모델명0.3210.7990.7990.7991.0000.884
제작업체0.0000.6770.6770.6770.8841.000
2023-12-12T19:39:46.738115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제품규격(kW)설치자정부보조금(원)자부담(원)총사업비(원)제작업체모델명
연번1.0000.3390.2640.6000.6000.6000.5370.541
제품규격(kW)0.3391.0000.1700.6220.6220.6220.8940.856
설치자0.2640.1701.0000.3540.3540.3540.0000.321
정부보조금(원)0.6000.6220.3541.0001.0001.0000.6770.799
자부담(원)0.6000.6220.3541.0001.0001.0000.6770.799
총사업비(원)0.6000.6220.3541.0001.0001.0000.6770.799
제작업체0.5370.8940.0000.6770.6770.6771.0000.884
모델명0.5410.8560.3210.7990.7990.7990.8841.000

Missing values

2023-12-12T19:39:39.506041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:39:39.796510image/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.
2023-12-12T19:39:39.973206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번시군설치자설치장소정부보조금(원)자부담(원)총사업비(원)사업완료일제작업체모델명제품규격(kW)설치업체설치업체_대표자설치업체_연락처설치업체_주소
01고양시이○○경기도 고양시 일산동구 동국로 245번길 00-002688560115224038408002015-06-09규원테크k-23A26.85규원테크왕재국053-856-5900경상북도 경산시 남산면 송내리 33-1
12고양시○○○○요양원경기도 고양시 덕양구 고골길264번길00-03977000039770002013-04-30㈜귀뚜라미펠릿보일러(KRP-20B)23.3㈜귀뚜라미보일러이종기<NA>경상북도 청도군 청도읍 월곡2길 34
23고양시○○○○요양원경기도 고양시 일산동구 고봉로678번길000-03977000039770002013-04-30㈜귀뚜라미펠릿보일러(KRP-20B)23.3㈜귀뚜라미보일러이종기<NA>경상북도 청도군 청도읍 월곡2길 34
34고양시최○○경기도 고양시 일산서구 가좌동3290000141000047000002012-12-30㈜경동나비엔펠렛보일러(PPB-25K)25.0㈜경동나비엔최재범1588-1144경기도 평택시 세교동 437
45고양시박○○경기도 고양시 덕양구 원당동3290000141000047000002012-09-30㈜넥스트에너지코리아펠릿보일러(NEK-309A1)20.93㈜넥스트에너지코리아이준선031-764-5616경기도 광주시 도척면 궁평리 179-2(담당자 최광섭)
56고양시박○○고양시 일산동구 지영동2590000111000037000002011-06-22귀뚜라미보일러KRP-2023.3㈜대상에스코테크유홍열031-298-9000경기도 화성시 봉담면 덕리 177-2
67고양시강○○고양시 일산동구 백석동2590000111000037000002011-07-18귀뚜라미보일러KRP-2023.3(유)미래인더스트리이용선063-236-4521전북 전주시 완산구 중화산2동 569-1
78고양시조○○고양시 덕양구 강매동2590000111000037000002011-05-17㈜경동나비엔PPB-25K25.0주식회사 백일백정흠031-945-4100경기도 파주시 금촌동 793-17
89고양시이○○고양시 덕양구 강매동2590000111000037000002011-05-27㈜경동나비엔PPB-25K25.0주식회사 백일백정흠031-945-4100경기도 파주시 금촌동 793-17
910고양시김○○고양시 일산동구 풍동2590000111000037000002011-03-08에프앤디인터내셔널FB-40023.3에프앤디인터내셔널이광연02-568-6300서울 강남구 삼성동 159 무역센터 코엑스A38호
연번시군설치자설치장소정부보조금(원)자부담(원)총사업비(원)사업완료일제작업체모델명제품규격(kW)설치업체설치업체_대표자설치업체_연락처설치업체_주소
1314고양시이○○고양시 덕양구 내유동2660000114000038000002010-06-18㈜귀뚜라미KRP-2023.2중앙ENG전문희031-975-6640경기도 고양시 일산동구 성석동 984
1415고양시김○○고양시 덕양구 신평동2660000114000038000002010-04-20㈜귀뚜라미KRP-2023.2㈜계풍홈테크이병균02-3493-9000서울특별시 도봉구 방학1동 706-1
1516고양시김○○고양시 덕양구 대자동2660000114000038000002009-12-04귀뚜라미KRP-2529.1㈜대상에스코테크유홍열031-298-9000경기도 화성시 봉담면 덕리 177-2
1617고양시이○○고양시 덕양구 신원동2660000114000038000002009-11-20귀뚜라미KRP-2529.1㈜엠플러스공조이영수02-825-4903서울 금천구 가산동 493 대륭테크노타운5차404호
1718고양시김○○고양시 일산동구 장항동2660000114000038000002009-11-20귀뚜라미KRP-2529.1㈜대상에스코테크유홍열031-298-9000경기도 화성시 봉담면 덕리 177-2
1819고양시심○○고양시 일산서구 법곳동2660000114000038000002009-03-25현대보일러HD30P<NA>현대에너지개발이향희041-548-3380충남 아산시 선장면 선창리 310-25
1920고양시유○○고양시 일산서구 법곳동2660000114000038000002009-03-25현대보일러HD30P<NA>현대에너지개발이향희041-548-3380충남 아산시 선장면 선창리 310-25
2021고양시이○○고양시 일산서구 법곳동2660000114000038000002009-03-25현대보일러HD30P<NA>현대에너지개발이향희041-548-3380충남 아산시 선장면 선창리 310-25
2122고양시김○○고양시 일산서구 사리현동2660000114000038000002009-03-25귀뚜라미KRP-2529.1㈜대상에스코테크유홍열031-298-9000경기도 화성시 봉담면 덕리 177-2
2223고양시허○○고양시 일산동구 식사동2660000114000038000002009-03-25귀뚜라미KRP-2529.1㈜대상에스코테크유홍열031-298-9000경기도 화성시 봉담면 덕리 177-2