Overview

Dataset statistics

Number of variables20
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory167.3 B

Variable types

Numeric1
Categorical17
Text2

Dataset

Description에너지다소비사업자의 에너지사용량신고에 대한 데이터로 지역(광역시)별, 연도별, 부문별 다소비사업자의 석탄 사용량에 대한 데이터 개방
Author한국에너지공단
URLhttps://www.data.go.kr/data/15106311/fileData.do

Alerts

광주 has constant value ""Constant
대전 has constant value ""Constant
서울 has constant value ""Constant
세종 has constant value ""Constant
제주 has constant value ""Constant
경북 is highly overall correlated with 강원 and 9 other fieldsHigh correlation
충북 is highly overall correlated with 강원 and 9 other fieldsHigh correlation
전북 is highly overall correlated with 강원 and 9 other fieldsHigh correlation
전남 is highly overall correlated with 강원 and 9 other fieldsHigh correlation
경남 is highly overall correlated with 강원 and 9 other fieldsHigh correlation
인천 is highly overall correlated with 강원 and 9 other fieldsHigh correlation
강원 is highly overall correlated with 경남 and 9 other fieldsHigh correlation
울산 is highly overall correlated with 강원 and 9 other fieldsHigh correlation
충남 is highly overall correlated with 강원 and 9 other fieldsHigh correlation
부산 is highly overall correlated with 강원 and 9 other fieldsHigh correlation
대구 is highly overall correlated with 강원 and 9 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 10:37:25.731934
Analysis finished2023-12-12 10:37:27.900772
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019
Minimum2016
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T19:37:27.967113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2016
Q12017
median2019
Q32021
95-th percentile2022
Maximum2022
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0493902
Coefficient of variation (CV)0.0010150521
Kurtosis-1.2573099
Mean2019
Median Absolute Deviation (MAD)2
Skewness0
Sum42399
Variance4.2
MonotonicityIncreasing
2023-12-12T19:37:28.097106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2016 3
14.3%
2017 3
14.3%
2018 3
14.3%
2019 3
14.3%
2020 3
14.3%
2021 3
14.3%
2022 3
14.3%
ValueCountFrequency (%)
2016 3
14.3%
2017 3
14.3%
2018 3
14.3%
2019 3
14.3%
2020 3
14.3%
2021 3
14.3%
2022 3
14.3%
ValueCountFrequency (%)
2022 3
14.3%
2021 3
14.3%
2020 3
14.3%
2019 3
14.3%
2018 3
14.3%
2017 3
14.3%
2016 3
14.3%

부문
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
산업
7 
건물
7 
수송
7 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산업
2nd row건물
3rd row수송
4th row산업
5th row건물

Common Values

ValueCountFrequency (%)
산업 7
33.3%
건물 7
33.3%
수송 7
33.3%

Length

2023-12-12T19:37:28.252107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:28.415323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산업 7
33.3%
건물 7
33.3%
수송 7
33.3%

강원
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
14 
1852526
 
1
2504336
 
1
3359121
 
1
3031825
 
1
Other values (3)
3 

Length

Max length11
Median length4
Mean length5.1904762
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row1852526
2nd row해당없음
3rd row해당없음
4th row2504336
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 14
66.7%
1852526 1
 
4.8%
2504336 1
 
4.8%
3359121 1
 
4.8%
3031825 1
 
4.8%
3055139 1
 
4.8%
3055180 1
 
4.8%
3601824.357 1
 
4.8%

Length

2023-12-12T19:37:28.557021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:28.721415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 14
66.7%
1852526 1
 
4.8%
2504336 1
 
4.8%
3359121 1
 
4.8%
3031825 1
 
4.8%
3055139 1
 
4.8%
3055180 1
 
4.8%
3601824.357 1
 
4.8%

경기
Text

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T19:37:28.902901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4
Min length2

Characters and Unicode

Total characters84
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)57.1%

Sample

1st row279941
2nd row해당없음
3rd row15
4th row273725
5th row해당없음
ValueCountFrequency (%)
해당없음 7
33.3%
15 2
 
9.5%
279941 1
 
4.8%
273725 1
 
4.8%
38 1
 
4.8%
260951 1
 
4.8%
27 1
 
4.8%
461691 1
 
4.8%
19 1
 
4.8%
502376 1
 
4.8%
Other values (4) 4
19.0%
2023-12-12T19:37:29.249374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10
11.9%
7 8
9.5%
해 7
8.3%
당 7
8.3%
없 7
8.3%
음 7
8.3%
5 7
8.3%
2 6
7.1%
9 6
7.1%
4 5
 
6.0%
Other values (4) 14
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56
66.7%
Other Letter 28
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
17.9%
7 8
14.3%
5 7
12.5%
2 6
10.7%
9 6
10.7%
4 5
8.9%
3 4
 
7.1%
6 4
 
7.1%
0 4
 
7.1%
8 2
 
3.6%
Other Letter
ValueCountFrequency (%)
해 7
25.0%
당 7
25.0%
없 7
25.0%
음 7
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56
66.7%
Hangul 28
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 10
17.9%
7 8
14.3%
5 7
12.5%
2 6
10.7%
9 6
10.7%
4 5
8.9%
3 4
 
7.1%
6 4
 
7.1%
0 4
 
7.1%
8 2
 
3.6%
Hangul
ValueCountFrequency (%)
해 7
25.0%
당 7
25.0%
없 7
25.0%
음 7
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56
66.7%
Hangul 28
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10
17.9%
7 8
14.3%
5 7
12.5%
2 6
10.7%
9 6
10.7%
4 5
8.9%
3 4
 
7.1%
6 4
 
7.1%
0 4
 
7.1%
8 2
 
3.6%
Hangul
ValueCountFrequency (%)
해 7
25.0%
당 7
25.0%
없 7
25.0%
음 7
25.0%

경남
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
14 
13334
 
1
14056
 
1
14396
 
1
14042
 
1
Other values (3)
3 

Length

Max length11
Median length4
Mean length4.7142857
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row13334
2nd row해당없음
3rd row해당없음
4th row14056
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 14
66.7%
13334 1
 
4.8%
14056 1
 
4.8%
14396 1
 
4.8%
14042 1
 
4.8%
23026 1
 
4.8%
1922596 1
 
4.8%
2836727.272 1
 
4.8%

Length

2023-12-12T19:37:29.445514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:29.613740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 14
66.7%
13334 1
 
4.8%
14056 1
 
4.8%
14396 1
 
4.8%
14042 1
 
4.8%
23026 1
 
4.8%
1922596 1
 
4.8%
2836727.272 1
 
4.8%

경북
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
14 
8199447
 
1
7932969
 
1
8165506
 
1
8412293
 
1
Other values (3)
3 

Length

Max length11
Median length4
Mean length5.1904762
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row8199447
2nd row해당없음
3rd row해당없음
4th row7932969
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 14
66.7%
8199447 1
 
4.8%
7932969 1
 
4.8%
8165506 1
 
4.8%
8412293 1
 
4.8%
8160000 1
 
4.8%
8069007 1
 
4.8%
6857713.973 1
 
4.8%

Length

2023-12-12T19:37:29.830853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:30.013002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 14
66.7%
8199447 1
 
4.8%
7932969 1
 
4.8%
8165506 1
 
4.8%
8412293 1
 
4.8%
8160000 1
 
4.8%
8069007 1
 
4.8%
6857713.973 1
 
4.8%

광주
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 21
100.0%

Length

2023-12-12T19:37:30.182725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:30.313699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 21
100.0%

대구
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
14 
212967
 
1
197103
 
1
197857
 
1
186773
 
1
Other values (3)
3 

Length

Max length10
Median length4
Mean length4.8571429
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row212967
2nd row해당없음
3rd row해당없음
4th row197103
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 14
66.7%
212967 1
 
4.8%
197103 1
 
4.8%
197857 1
 
4.8%
186773 1
 
4.8%
158765 1
 
4.8%
178296 1
 
4.8%
166644.951 1
 
4.8%

Length

2023-12-12T19:37:30.444122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:30.618294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 14
66.7%
212967 1
 
4.8%
197103 1
 
4.8%
197857 1
 
4.8%
186773 1
 
4.8%
158765 1
 
4.8%
178296 1
 
4.8%
166644.951 1
 
4.8%

대전
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 21
100.0%

Length

2023-12-12T19:37:31.115955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:31.240182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 21
100.0%

부산
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
14 
58194
 
1
58772
 
1
56448
 
1
50558
 
1
Other values (3)
3 

Length

Max length5
Median length4
Mean length4.3333333
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row58194
2nd row해당없음
3rd row해당없음
4th row58772
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 14
66.7%
58194 1
 
4.8%
58772 1
 
4.8%
56448 1
 
4.8%
50558 1
 
4.8%
43410 1
 
4.8%
43657 1
 
4.8%
44279 1
 
4.8%

Length

2023-12-12T19:37:31.375665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:31.517756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 14
66.7%
58194 1
 
4.8%
58772 1
 
4.8%
56448 1
 
4.8%
50558 1
 
4.8%
43410 1
 
4.8%
43657 1
 
4.8%
44279 1
 
4.8%

서울
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 21
100.0%

Length

2023-12-12T19:37:31.668050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:31.797502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 21
100.0%

세종
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 21
100.0%

Length

2023-12-12T19:37:31.949045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:32.061854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 21
100.0%

울산
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
14 
514250
 
1
490796
 
1
508069
 
1
455525
 
1
Other values (3)
3 

Length

Max length6
Median length4
Mean length4.6666667
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row514250
2nd row해당없음
3rd row해당없음
4th row490796
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 14
66.7%
514250 1
 
4.8%
490796 1
 
4.8%
508069 1
 
4.8%
455525 1
 
4.8%
531697 1
 
4.8%
570614 1
 
4.8%
476336 1
 
4.8%

Length

2023-12-12T19:37:32.222449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:32.411969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 14
66.7%
514250 1
 
4.8%
490796 1
 
4.8%
508069 1
 
4.8%
455525 1
 
4.8%
531697 1
 
4.8%
570614 1
 
4.8%
476336 1
 
4.8%

인천
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
14 
43310
 
1
28932
 
1
31318
 
1
29758
 
1
Other values (3)
3 

Length

Max length5
Median length4
Mean length4.3333333
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row43310
2nd row해당없음
3rd row해당없음
4th row28932
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 14
66.7%
43310 1
 
4.8%
28932 1
 
4.8%
31318 1
 
4.8%
29758 1
 
4.8%
30080 1
 
4.8%
28652 1
 
4.8%
26780 1
 
4.8%

Length

2023-12-12T19:37:32.606868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:32.800160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 14
66.7%
43310 1
 
4.8%
28932 1
 
4.8%
31318 1
 
4.8%
29758 1
 
4.8%
30080 1
 
4.8%
28652 1
 
4.8%
26780 1
 
4.8%

전남
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
14 
12168190
 
1
12747541
 
1
12844493
 
1
12670622
 
1
Other values (3)
3 

Length

Max length11
Median length4
Mean length5.4761905
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row12168190
2nd row해당없음
3rd row해당없음
4th row12747541
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 14
66.7%
12168190 1
 
4.8%
12747541 1
 
4.8%
12844493 1
 
4.8%
12670622 1
 
4.8%
12016256 1
 
4.8%
12633754 1
 
4.8%
11829252.32 1
 
4.8%

Length

2023-12-12T19:37:33.021910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:33.189171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 14
66.7%
12168190 1
 
4.8%
12747541 1
 
4.8%
12844493 1
 
4.8%
12670622 1
 
4.8%
12016256 1
 
4.8%
12633754 1
 
4.8%
11829252.32 1
 
4.8%

전북
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
14 
1764230
 
1
1706186
 
1
1687389
 
1
1654736
 
1
Other values (3)
3 

Length

Max length11
Median length4
Mean length5.1904762
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row1764230
2nd row해당없음
3rd row해당없음
4th row1706186
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 14
66.7%
1764230 1
 
4.8%
1706186 1
 
4.8%
1687389 1
 
4.8%
1654736 1
 
4.8%
1635375 1
 
4.8%
1770313 1
 
4.8%
1518550.728 1
 
4.8%

Length

2023-12-12T19:37:33.393945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:33.566663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 14
66.7%
1764230 1
 
4.8%
1706186 1
 
4.8%
1687389 1
 
4.8%
1654736 1
 
4.8%
1635375 1
 
4.8%
1770313 1
 
4.8%
1518550.728 1
 
4.8%

제주
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 21
100.0%

Length

2023-12-12T19:37:33.731721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:33.874672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 21
100.0%

충남
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
14 
5814298
 
1
5988654
 
1
6097047
 
1
6739036
 
1
Other values (3)
3 

Length

Max length11
Median length4
Mean length5.1904762
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row5814298
2nd row해당없음
3rd row해당없음
4th row5988654
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 14
66.7%
5814298 1
 
4.8%
5988654 1
 
4.8%
6097047 1
 
4.8%
6739036 1
 
4.8%
5897994 1
 
4.8%
5984594 1
 
4.8%
5794202.069 1
 
4.8%

Length

2023-12-12T19:37:34.037815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:34.244526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 14
66.7%
5814298 1
 
4.8%
5988654 1
 
4.8%
6097047 1
 
4.8%
6739036 1
 
4.8%
5897994 1
 
4.8%
5984594 1
 
4.8%
5794202.069 1
 
4.8%

충북
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
해당없음
14 
1244785
 
1
1148589
 
1
995433
 
1
1031714
 
1
Other values (3)
3 

Length

Max length10
Median length4
Mean length5.047619
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row1244785
2nd row해당없음
3rd row해당없음
4th row1148589
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 14
66.7%
1244785 1
 
4.8%
1148589 1
 
4.8%
995433 1
 
4.8%
1031714 1
 
4.8%
933599 1
 
4.8%
1042760 1
 
4.8%
993292.771 1
 
4.8%

Length

2023-12-12T19:37:34.432744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:34.606171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 14
66.7%
1244785 1
 
4.8%
1148589 1
 
4.8%
995433 1
 
4.8%
1031714 1
 
4.8%
933599 1
 
4.8%
1042760 1
 
4.8%
993292.771 1
 
4.8%

총합계
Text

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T19:37:34.798322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length4.8095238
Min length2

Characters and Unicode

Total characters101
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)57.1%

Sample

1st row32165472
2nd row해당없음
3rd row15
4th row33091660
5th row해당없음
ValueCountFrequency (%)
해당없음 7
33.3%
15 2
 
9.5%
32165472 1
 
4.8%
33091660 1
 
4.8%
38 1
 
4.8%
34218028 1
 
4.8%
27 1
 
4.8%
34738573 1
 
4.8%
19 1
 
4.8%
32987715 1
 
4.8%
Other values (4) 4
19.0%
2023-12-12T19:37:35.222930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 12
11.9%
7 10
9.9%
1 9
8.9%
5 8
7.9%
4 8
7.9%
해 7
 
6.9%
당 7
 
6.9%
없 7
 
6.9%
음 7
 
6.9%
2 7
 
6.9%
Other values (5) 19
18.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
71.3%
Other Letter 28
 
27.7%
Other Punctuation 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 12
16.7%
7 10
13.9%
1 9
12.5%
5 8
11.1%
4 8
11.1%
2 7
9.7%
6 7
9.7%
8 5
6.9%
0 3
 
4.2%
9 3
 
4.2%
Other Letter
ValueCountFrequency (%)
해 7
25.0%
당 7
25.0%
없 7
25.0%
음 7
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73
72.3%
Hangul 28
 
27.7%

Most frequent character per script

Common
ValueCountFrequency (%)
3 12
16.4%
7 10
13.7%
1 9
12.3%
5 8
11.0%
4 8
11.0%
2 7
9.6%
6 7
9.6%
8 5
6.8%
0 3
 
4.1%
9 3
 
4.1%
Hangul
ValueCountFrequency (%)
해 7
25.0%
당 7
25.0%
없 7
25.0%
음 7
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
72.3%
Hangul 28
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 12
16.4%
7 10
13.7%
1 9
12.3%
5 8
11.0%
4 8
11.0%
2 7
9.6%
6 7
9.6%
8 5
6.8%
0 3
 
4.1%
9 3
 
4.1%
Hangul
ValueCountFrequency (%)
해 7
25.0%
당 7
25.0%
없 7
25.0%
음 7
25.0%

Interactions

2023-12-12T19:37:27.281178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:37:35.366446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도부문강원경기경남경북대구부산울산인천전남전북충남충북총합계
연도1.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
부문0.0001.0000.6281.0000.6280.6280.6280.6280.6280.6280.6280.6280.6280.6281.000
강원0.0000.6281.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
경기0.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
경남0.0000.6281.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
경북0.0000.6281.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대구0.0000.6281.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
부산0.0000.6281.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
울산0.0000.6281.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인천0.0000.6281.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전남0.0000.6281.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전북0.0000.6281.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
충남0.0000.6281.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
충북0.0000.6281.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
총합계0.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T19:37:35.583207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경북충북부문전북전남경남인천강원울산충남부산대구
경북1.0001.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.000
충북1.0001.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.000
부문0.4080.4081.0000.4080.4080.4080.4080.4080.4080.4080.4080.408
전북1.0001.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.000
전남1.0001.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.000
경남1.0001.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.000
인천1.0001.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.000
강원1.0001.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.000
울산1.0001.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.000
충남1.0001.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.000
부산1.0001.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.000
대구1.0001.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T19:37:35.810601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도부문강원경남경북대구부산울산인천전남전북충남충북
연도1.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
부문0.0001.0000.4080.4080.4080.4080.4080.4080.4080.4080.4080.4080.408
강원0.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
경남0.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
경북0.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대구0.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
부산0.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
울산0.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인천0.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전남0.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전북0.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
충남0.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
충북0.0000.4081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T19:37:27.456004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:37:27.789283image/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

연도부문강원경기경남경북광주대구대전부산서울세종울산인천전남전북제주충남충북총합계
02016산업1852526279941133348199447해당없음212967해당없음58194해당없음해당없음51425043310121681901764230해당없음5814298124478532165472
12016건물해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음
22016수송해당없음15해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음15
32017산업2504336273725140567932969해당없음197103해당없음58772해당없음해당없음49079628932127475411706186해당없음5988654114858933091660
42017건물해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음
52017수송해당없음38해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음38
62018산업3359121260951143968165506해당없음197857해당없음56448해당없음해당없음50806931318128444931687389해당없음609704799543334218028
72018건물해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음
82018수송해당없음27해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음27
92019산업3031825461691140428412293해당없음186773해당없음50558해당없음해당없음45552529758126706221654736해당없음6739036103171434738573
연도부문강원경기경남경북광주대구대전부산서울세종울산인천전남전북제주충남충북총합계
112019수송해당없음19해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음19
122020산업3055139502376230268160000해당없음158765해당없음43410해당없음해당없음53169730080120162561635375해당없음589799493359932987715
132020건물해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음
142020수송해당없음14해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음14
152021산업305518047584319225968069007해당없음178296해당없음43657해당없음해당없음57061428652126337541770313해당없음5984594104276035775266
162021건물해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음
172021수송해당없음17해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음17
182022산업3601824.3575090712836727.2726857713.973해당없음166644.951해당없음44279해당없음해당없음4763362678011829252.321518550.728해당없음5794202.069993292.77134654674.43
192022건물해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음
202022수송해당없음15해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음해당없음15