Overview

Dataset statistics

Number of variables37
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.9 KiB
Average record size in memory334.1 B

Variable types

Text1
Categorical31
Numeric5

Dataset

Description화재에 대한 원인 감정 실시에 대한 통계 현황을 행정 구역별, 업종별(주택, 공장, 숙발시설, 유흥업소, 재래시장, 학교, 빌딩, 관공소, 군부대, 종교시설, 유통 및 판매시설, 기타)로 나타내는 자료입니다.
Author한국전기안전공사
URLhttps://www.data.go.kr/data/15002351/fileData.do

Alerts

주택(사업용) has constant value ""Constant
숙박시설(사업용) has constant value ""Constant
유흥업소(사업용) has constant value ""Constant
재래시장(사업용) has constant value ""Constant
학교(사업용) has constant value ""Constant
빌딩(사업용) has constant value ""Constant
관공소(사업용) has constant value ""Constant
군부대(사업용) has constant value ""Constant
종교시설(사업용) has constant value ""Constant
유통 및 판매시설(사업용) has constant value ""Constant
학교(일반용) has constant value ""Constant
관공소(일반용) has constant value ""Constant
군부대(일반용) has constant value ""Constant
공장(사업용) is highly imbalanced (75.5%)Imbalance
기타(사업용) is highly imbalanced (67.8%)Imbalance
숙박시설(자가용) is highly imbalanced (66.3%)Imbalance
재래시장(자가용) is highly imbalanced (79.9%)Imbalance
학교(자가용) is highly imbalanced (58.6%)Imbalance
관공소(자가용) is highly imbalanced (50.2%)Imbalance
군부대(자가용) is highly imbalanced (72.7%)Imbalance
종교시설(자가용) is highly imbalanced (72.7%)Imbalance
재래시장(일반용) is highly imbalanced (55.1%)Imbalance
빌딩(일반용) is highly imbalanced (71.5%)Imbalance
종교시설(일반용) is highly imbalanced (50.2%)Imbalance
행정구역별 has unique valuesUnique
공장(자가용) has 30 (46.9%) zerosZeros
빌딩(자가용) has 51 (79.7%) zerosZeros
주택(일반용) has 5 (7.8%) zerosZeros
유통 및 판매시설(일반용) has 43 (67.2%) zerosZeros
기타(일반용) has 5 (7.8%) zerosZeros

Reproduction

Analysis started2023-12-12 23:21:06.731394
Analysis finished2023-12-12 23:21:07.012043
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역별
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-13T08:21:07.169152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.015625
Min length2

Characters and Unicode

Total characters385
Distinct characters63
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

Unique64 ?
Unique (%)100.0%

Sample

1st row본사
2nd row안전인증센터
3rd row전기안전연구원
4th row전기안전기술교육원
5th row서울지역본부
ValueCountFrequency (%)
본사 1
 
1.6%
안전인증센터 1
 
1.6%
강원남부지사 1
 
1.6%
경기중부지사 1
 
1.6%
안산시흥지사 1
 
1.6%
경기서부지사 1
 
1.6%
평택안성지사 1
 
1.6%
이천여주지사 1
 
1.6%
용인지사 1
 
1.6%
경기북부지역본부 1
 
1.6%
Other values (54) 54
84.4%
2023-12-13T08:21:07.495521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 60
15.6%
사 48
 
12.5%
부 44
 
11.4%
남 18
 
4.7%
경 15
 
3.9%
서 15
 
3.9%
본 14
 
3.6%
북 14
 
3.6%
역 13
 
3.4%
전 12
 
3.1%
Other values (53) 132
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 385
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 60
15.6%
사 48
 
12.5%
부 44
 
11.4%
남 18
 
4.7%
경 15
 
3.9%
서 15
 
3.9%
본 14
 
3.6%
북 14
 
3.6%
역 13
 
3.4%
전 12
 
3.1%
Other values (53) 132
34.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 385
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 60
15.6%
사 48
 
12.5%
부 44
 
11.4%
남 18
 
4.7%
경 15
 
3.9%
서 15
 
3.9%
본 14
 
3.6%
북 14
 
3.6%
역 13
 
3.4%
전 12
 
3.1%
Other values (53) 132
34.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 385
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 60
15.6%
사 48
 
12.5%
부 44
 
11.4%
남 18
 
4.7%
경 15
 
3.9%
서 15
 
3.9%
본 14
 
3.6%
북 14
 
3.6%
역 13
 
3.4%
전 12
 
3.1%
Other values (53) 132
34.3%

주택(사업용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:07.606134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:07.687901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

공장(사업용)
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
60 
1
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 60
93.8%
1 3
 
4.7%
2 1
 
1.6%

Length

2023-12-13T08:21:07.785864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:07.866261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
93.8%
1 3
 
4.7%
2 1
 
1.6%

숙박시설(사업용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:07.957463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:08.034535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

유흥업소(사업용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:08.116989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:08.198778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

재래시장(사업용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:08.274651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:08.351858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

학교(사업용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:08.427550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:08.504107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

빌딩(사업용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:08.596128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:08.667875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

관공소(사업용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:08.745151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:08.822908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

군부대(사업용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:08.948777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:09.058517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

종교시설(사업용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:09.157938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:09.259021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

유통 및 판매시설(사업용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:09.380964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:09.466513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

기타(사업용)
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
58 
1
 
5
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 58
90.6%
1 5
 
7.8%
2 1
 
1.6%

Length

2023-12-13T08:21:09.552237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:09.646091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
90.6%
1 5
 
7.8%
2 1
 
1.6%

주택(자가용)
Categorical

Distinct5
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
42 
1
12 
3
6 
2
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 42
65.6%
1 12
 
18.8%
3 6
 
9.4%
2 3
 
4.7%
4 1
 
1.6%

Length

2023-12-13T08:21:09.773372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:09.876839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 42
65.6%
1 12
 
18.8%
3 6
 
9.4%
2 3
 
4.7%
4 1
 
1.6%

공장(자가용)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.453125
Minimum0
Maximum8
Zeros30
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-13T08:21:09.983005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0696575
Coefficient of variation (CV)1.4242804
Kurtosis1.7448197
Mean1.453125
Median Absolute Deviation (MAD)1
Skewness1.6046298
Sum93
Variance4.2834821
MonotonicityNot monotonic
2023-12-13T08:21:10.112416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 30
46.9%
1 16
25.0%
4 6
 
9.4%
2 4
 
6.2%
6 2
 
3.1%
7 2
 
3.1%
3 2
 
3.1%
5 1
 
1.6%
8 1
 
1.6%
ValueCountFrequency (%)
0 30
46.9%
1 16
25.0%
2 4
 
6.2%
3 2
 
3.1%
4 6
 
9.4%
5 1
 
1.6%
6 2
 
3.1%
7 2
 
3.1%
8 1
 
1.6%
ValueCountFrequency (%)
8 1
 
1.6%
7 2
 
3.1%
6 2
 
3.1%
5 1
 
1.6%
4 6
 
9.4%
3 2
 
3.1%
2 4
 
6.2%
1 16
25.0%
0 30
46.9%

숙박시설(자가용)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
60 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 60
93.8%
1 4
 
6.2%

Length

2023-12-13T08:21:10.237325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:10.325891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
93.8%
1 4
 
6.2%

유흥업소(자가용)
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
49 
1
11 
2
 
2
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 49
76.6%
1 11
 
17.2%
2 2
 
3.1%
3 2
 
3.1%

Length

2023-12-13T08:21:10.460665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:10.580894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
76.6%
1 11
 
17.2%
2 2
 
3.1%
3 2
 
3.1%

재래시장(자가용)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
62 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 62
96.9%
1 2
 
3.1%

Length

2023-12-13T08:21:10.698533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:10.801041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
96.9%
1 2
 
3.1%

학교(자가용)
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
55 
1
8 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 55
85.9%
1 8
 
12.5%
2 1
 
1.6%

Length

2023-12-13T08:21:10.894722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:10.979594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
85.9%
1 8
 
12.5%
2 1
 
1.6%

빌딩(자가용)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.609375
Minimum0
Maximum9
Zeros51
Zeros (%)79.7%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-13T08:21:11.072866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7054273
Coefficient of variation (CV)2.7986499
Kurtosis14.231208
Mean0.609375
Median Absolute Deviation (MAD)0
Skewness3.6717592
Sum39
Variance2.9084821
MonotonicityNot monotonic
2023-12-13T08:21:11.461554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 51
79.7%
1 6
 
9.4%
3 3
 
4.7%
9 1
 
1.6%
5 1
 
1.6%
8 1
 
1.6%
2 1
 
1.6%
ValueCountFrequency (%)
0 51
79.7%
1 6
 
9.4%
2 1
 
1.6%
3 3
 
4.7%
5 1
 
1.6%
8 1
 
1.6%
9 1
 
1.6%
ValueCountFrequency (%)
9 1
 
1.6%
8 1
 
1.6%
5 1
 
1.6%
3 3
 
4.7%
2 1
 
1.6%
1 6
 
9.4%
0 51
79.7%

관공소(자가용)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
57 
1
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 57
89.1%
1 7
 
10.9%

Length

2023-12-13T08:21:11.574324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:11.674004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
89.1%
1 7
 
10.9%

군부대(자가용)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
61 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
95.3%
1 3
 
4.7%

Length

2023-12-13T08:21:11.778435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:11.867302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
95.3%
1 3
 
4.7%

종교시설(자가용)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
61 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 61
95.3%
1 3
 
4.7%

Length

2023-12-13T08:21:11.955808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:12.046206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
95.3%
1 3
 
4.7%

유통 및 판매시설(자가용)
Categorical

Distinct5
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
44 
1
14 
2
 
3
3
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row4

Common Values

ValueCountFrequency (%)
0 44
68.8%
1 14
 
21.9%
2 3
 
4.7%
3 2
 
3.1%
4 1
 
1.6%

Length

2023-12-13T08:21:12.168124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:12.279850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
68.8%
1 14
 
21.9%
2 3
 
4.7%
3 2
 
3.1%
4 1
 
1.6%

기타(자가용)
Categorical

Distinct5
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
33 
2
11 
1
10 
3
6 
5
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row5

Common Values

ValueCountFrequency (%)
0 33
51.6%
2 11
 
17.2%
1 10
 
15.6%
3 6
 
9.4%
5 4
 
6.2%

Length

2023-12-13T08:21:12.383948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:12.482465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
51.6%
2 11
 
17.2%
1 10
 
15.6%
3 6
 
9.4%
5 4
 
6.2%

주택(일반용)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.828125
Minimum0
Maximum13
Zeros5
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-13T08:21:12.585397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34.25
95-th percentile10
Maximum13
Range13
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation3.1042965
Coefficient of variation (CV)0.81091827
Kurtosis1.1710699
Mean3.828125
Median Absolute Deviation (MAD)1
Skewness1.2500961
Sum245
Variance9.6366567
MonotonicityNot monotonic
2023-12-13T08:21:12.707936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 14
21.9%
2 12
18.8%
1 9
14.1%
3 8
12.5%
0 5
 
7.8%
5 3
 
4.7%
12 2
 
3.1%
8 2
 
3.1%
10 2
 
3.1%
7 2
 
3.1%
Other values (3) 5
 
7.8%
ValueCountFrequency (%)
0 5
 
7.8%
1 9
14.1%
2 12
18.8%
3 8
12.5%
4 14
21.9%
5 3
 
4.7%
6 2
 
3.1%
7 2
 
3.1%
8 2
 
3.1%
9 2
 
3.1%
ValueCountFrequency (%)
13 1
 
1.6%
12 2
 
3.1%
10 2
 
3.1%
9 2
 
3.1%
8 2
 
3.1%
7 2
 
3.1%
6 2
 
3.1%
5 3
 
4.7%
4 14
21.9%
3 8
12.5%

공장(일반용)
Categorical

Distinct5
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
36 
1
14 
2
7 
3
5 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 36
56.2%
1 14
 
21.9%
2 7
 
10.9%
3 5
 
7.8%
5 2
 
3.1%

Length

2023-12-13T08:21:12.855008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:12.989396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
56.2%
1 14
 
21.9%
2 7
 
10.9%
3 5
 
7.8%
5 2
 
3.1%

숙박시설(일반용)
Categorical

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
49 
1
13 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 49
76.6%
1 13
 
20.3%
2 2
 
3.1%

Length

2023-12-13T08:21:13.138586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:13.269356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
76.6%
1 13
 
20.3%
2 2
 
3.1%

유흥업소(일반용)
Categorical

Distinct5
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
44 
1
16 
3
 
2
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 44
68.8%
1 16
 
25.0%
3 2
 
3.1%
4 1
 
1.6%
2 1
 
1.6%

Length

2023-12-13T08:21:13.377222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:13.512891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
68.8%
1 16
 
25.0%
3 2
 
3.1%
4 1
 
1.6%
2 1
 
1.6%

재래시장(일반용)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
58 
1
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 58
90.6%
1 6
 
9.4%

Length

2023-12-13T08:21:13.652078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:13.783763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
90.6%
1 6
 
9.4%

학교(일반용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:13.899227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:14.014001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

빌딩(일반용)
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
59 
1
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row3

Common Values

ValueCountFrequency (%)
0 59
92.2%
1 4
 
6.2%
3 1
 
1.6%

Length

2023-12-13T08:21:14.117912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:14.218769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
92.2%
1 4
 
6.2%
3 1
 
1.6%

관공소(일반용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:14.317858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:14.429260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

군부대(일반용)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
100.0%

Length

2023-12-13T08:21:14.531825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:14.624044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

종교시설(일반용)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
57 
1
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 57
89.1%
1 7
 
10.9%

Length

2023-12-13T08:21:14.715966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:14.810314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
89.1%
1 7
 
10.9%

유통 및 판매시설(일반용)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.703125
Minimum0
Maximum9
Zeros43
Zeros (%)67.2%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-13T08:21:14.915253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.85
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.454928
Coefficient of variation (CV)2.0692309
Kurtosis16.990096
Mean0.703125
Median Absolute Deviation (MAD)0
Skewness3.6041183
Sum45
Variance2.1168155
MonotonicityNot monotonic
2023-12-13T08:21:15.021702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 43
67.2%
1 9
 
14.1%
2 8
 
12.5%
3 2
 
3.1%
9 1
 
1.6%
5 1
 
1.6%
ValueCountFrequency (%)
0 43
67.2%
1 9
 
14.1%
2 8
 
12.5%
3 2
 
3.1%
5 1
 
1.6%
9 1
 
1.6%
ValueCountFrequency (%)
9 1
 
1.6%
5 1
 
1.6%
3 2
 
3.1%
2 8
 
12.5%
1 9
 
14.1%
0 43
67.2%

기타(일반용)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.453125
Minimum0
Maximum25
Zeros5
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-13T08:21:15.139245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35.25
95-th percentile14.4
Maximum25
Range25
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation4.3967148
Coefficient of variation (CV)0.98733245
Kurtosis7.7170914
Mean4.453125
Median Absolute Deviation (MAD)2
Skewness2.4219999
Sum285
Variance19.331101
MonotonicityNot monotonic
2023-12-13T08:21:15.257814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 13
20.3%
3 9
14.1%
4 7
10.9%
5 7
10.9%
1 7
10.9%
0 5
 
7.8%
7 4
 
6.2%
8 3
 
4.7%
6 3
 
4.7%
16 2
 
3.1%
Other values (4) 4
 
6.2%
ValueCountFrequency (%)
0 5
 
7.8%
1 7
10.9%
2 13
20.3%
3 9
14.1%
4 7
10.9%
5 7
10.9%
6 3
 
4.7%
7 4
 
6.2%
8 3
 
4.7%
9 1
 
1.6%
ValueCountFrequency (%)
25 1
 
1.6%
16 2
 
3.1%
15 1
 
1.6%
11 1
 
1.6%
9 1
 
1.6%
8 3
4.7%
7 4
6.2%
6 3
4.7%
5 7
10.9%
4 7
10.9%

Sample

행정구역별주택(사업용)공장(사업용)숙박시설(사업용)유흥업소(사업용)재래시장(사업용)학교(사업용)빌딩(사업용)관공소(사업용)군부대(사업용)종교시설(사업용)유통 및 판매시설(사업용)기타(사업용)주택(자가용)공장(자가용)숙박시설(자가용)유흥업소(자가용)재래시장(자가용)학교(자가용)빌딩(자가용)관공소(자가용)군부대(자가용)종교시설(자가용)유통 및 판매시설(자가용)기타(자가용)주택(일반용)공장(일반용)숙박시설(일반용)유흥업소(일반용)재래시장(일반용)학교(일반용)빌딩(일반용)관공소(일반용)군부대(일반용)종교시설(일반용)유통 및 판매시설(일반용)기타(일반용)
0본사000000000000000000000000000000000000
1안전인증센터000000000000000000000000000000000000
2전기안전연구원000000000000000000000000000000000000
3전기안전기술교육원000000000000000000000000000000000000
4서울지역본부00000000000110000090014512110103000911
5서울동부지사000000000000340100300133811310000054
6서울서부지사0000000000001401005000031232100000003
7서울남부지사0000000000003002008100251300000100008
8서울북부지사0000000000004101113000321021000000007
9부산울산지역본부020000000001040100000012710100000004
행정구역별주택(사업용)공장(사업용)숙박시설(사업용)유흥업소(사업용)재래시장(사업용)학교(사업용)빌딩(사업용)관공소(사업용)군부대(사업용)종교시설(사업용)유통 및 판매시설(사업용)기타(사업용)주택(자가용)공장(자가용)숙박시설(자가용)유흥업소(자가용)재래시장(자가용)학교(자가용)빌딩(자가용)관공소(자가용)군부대(자가용)종교시설(자가용)유통 및 판매시설(자가용)기타(자가용)주택(일반용)공장(일반용)숙박시설(일반용)유흥업소(일반용)재래시장(일반용)학교(일반용)빌딩(일반용)관공소(일반용)군부대(일반용)종교시설(일반용)유통 및 판매시설(일반용)기타(일반용)
54전북서부지사000000000000000000000010100000000003
55군산지사000000000000000000000000300000000010
56남원순창지사000000000000000000000010100000000001
57경남지역본부000000000000010101000011400000000015
58경남서부지사000000000000000000010003320100000012
59김해양산지사010000000000030000100002420000000002
60경남남부지사000000000000140000000000400000000031
61경남북부지사000000000000010000000000300000000001
62밀양창녕지사000000000002000001000000101010000003
63제주지역본부000000000000000000001001210000000007