Overview

Dataset statistics

Number of variables9
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory78.9 B

Variable types

Categorical6
Text1
Numeric2

Dataset

Description세원 유형별(토지, 건축물, 주택, 자동차, 기계장치, 선박, 항공기, 기타) 과세 현황에 대한 데이터로, 과세년도, 세목명, 세원 유형명, 부과건수, 부과금액 등의 항목 데이터를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15078264/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
과세년도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
부과건수 is highly overall correlated with 부과금액High correlation
부과금액 is highly overall correlated with 부과건수 and 1 other fieldsHigh correlation
세목명 is highly overall correlated with 부과금액High correlation
세원 유형명 has unique valuesUnique
부과건수 has 12 (26.1%) zerosZeros
부과금액 has 12 (26.1%) zerosZeros

Reproduction

Analysis started2023-12-12 12:16:01.297826
Analysis finished2023-12-12 12:16:02.241756
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
경상북도
46 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 46
100.0%

Length

2023-12-12T21:16:02.342044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:16:02.464319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 46
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
청송군
46 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청송군 46
100.0%

Length

2023-12-12T21:16:02.605615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:16:02.718995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청송군 46
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
47750
46 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row47750
2nd row47750
3rd row47750
4th row47750
5th row47750

Common Values

ValueCountFrequency (%)
47750 46
100.0%

Length

2023-12-12T21:16:02.927281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:16:03.054436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47750 46
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2021
46 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2021 46
100.0%

Length

2023-12-12T21:16:03.170768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:16:03.295244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 46
100.0%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
취득세
9 
자동차세
7 
주민세
7 
재산세
5 
지방소득세
4 
Other values (8)
14 

Length

Max length7
Median length3
Mean length3.7826087
Min length2

Unique

Unique5 ?
Unique (%)10.9%

Sample

1st row지방소득세
2nd row지방소득세
3rd row지방소득세
4th row지방소득세
5th row담배소비세

Common Values

ValueCountFrequency (%)
취득세 9
19.6%
자동차세 7
15.2%
주민세 7
15.2%
재산세 5
10.9%
지방소득세 4
8.7%
레저세 4
8.7%
지역자원시설세 3
 
6.5%
등록면허세 2
 
4.3%
담배소비세 1
 
2.2%
교육세 1
 
2.2%
Other values (3) 3
 
6.5%

Length

2023-12-12T21:16:03.795431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 9
19.6%
자동차세 7
15.2%
주민세 7
15.2%
재산세 5
10.9%
지방소득세 4
8.7%
레저세 4
8.7%
지역자원시설세 3
 
6.5%
등록면허세 2
 
4.3%
담배소비세 1
 
2.2%
교육세 1
 
2.2%
Other values (3) 3
 
6.5%

세원 유형명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T21:16:04.092553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length6.0217391
Min length2

Characters and Unicode

Total characters277
Distinct characters73
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

Unique46 ?
Unique (%)100.0%

Sample

1st row지방소득세(특별징수)
2nd row지방소득세(법인소득)
3rd row지방소득세(양도소득)
4th row지방소득세(종합소득)
5th row담배소비세
ValueCountFrequency (%)
지방소득세(특별징수 1
 
2.2%
주민세(개인분 1
 
2.2%
지방소비세 1
 
2.2%
자동차세(주행 1
 
2.2%
3륜이하 1
 
2.2%
특수 1
 
2.2%
화물 1
 
2.2%
승합 1
 
2.2%
기타승용 1
 
2.2%
승용 1
 
2.2%
Other values (36) 36
78.3%
2023-12-12T21:16:04.611764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 27
 
9.7%
( 24
 
8.7%
) 24
 
8.7%
소 14
 
5.1%
주 11
 
4.0%
지 10
 
3.6%
득 9
 
3.2%
민 7
 
2.5%
방 6
 
2.2%
자 5
 
1.8%
Other values (63) 140
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
82.3%
Open Punctuation 24
 
8.7%
Close Punctuation 24
 
8.7%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 27
 
11.8%
소 14
 
6.1%
주 11
 
4.8%
지 10
 
4.4%
득 9
 
3.9%
민 7
 
3.1%
방 6
 
2.6%
자 5
 
2.2%
기 5
 
2.2%
시 5
 
2.2%
Other values (60) 129
56.6%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
82.3%
Common 49
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 27
 
11.8%
소 14
 
6.1%
주 11
 
4.8%
지 10
 
4.4%
득 9
 
3.9%
민 7
 
3.1%
방 6
 
2.6%
자 5
 
2.2%
기 5
 
2.2%
시 5
 
2.2%
Other values (60) 129
56.6%
Common
ValueCountFrequency (%)
( 24
49.0%
) 24
49.0%
3 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
82.3%
ASCII 49
 
17.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 27
 
11.8%
소 14
 
6.1%
주 11
 
4.8%
지 10
 
4.4%
득 9
 
3.9%
민 7
 
3.1%
방 6
 
2.6%
자 5
 
2.2%
기 5
 
2.2%
시 5
 
2.2%
Other values (60) 129
56.6%
ASCII
ValueCountFrequency (%)
( 24
49.0%
) 24
49.0%
3 1
 
2.0%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct33
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4800.0435
Minimum0
Maximum78132
Zeros12
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T21:16:04.789510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median110
Q33873.25
95-th percentile21041.5
Maximum78132
Range78132
Interquartile range (IQR)3872.5

Descriptive statistics

Standard deviation12863.339
Coefficient of variation (CV)2.679838
Kurtosis24.406065
Mean4800.0435
Median Absolute Deviation (MAD)110
Skewness4.6239682
Sum220802
Variance1.6546549 × 108
MonotonicityNot monotonic
2023-12-12T21:16:05.008148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 12
26.1%
78 2
 
4.3%
707 2
 
4.3%
4233 1
 
2.2%
578 1
 
2.2%
71 1
 
2.2%
15754 1
 
2.2%
1299 1
 
2.2%
12603 1
 
2.2%
90 1
 
2.2%
Other values (23) 23
50.0%
ValueCountFrequency (%)
0 12
26.1%
3 1
 
2.2%
7 1
 
2.2%
8 1
 
2.2%
12 1
 
2.2%
44 1
 
2.2%
71 1
 
2.2%
75 1
 
2.2%
78 2
 
4.3%
81 1
 
2.2%
ValueCountFrequency (%)
78132 1
2.2%
33927 1
2.2%
22804 1
2.2%
15754 1
2.2%
12603 1
2.2%
8269 1
2.2%
8170 1
2.2%
6468 1
2.2%
6386 1
2.2%
5993 1
2.2%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2257915 × 108
Minimum0
Maximum6.007429 × 109
Zeros12
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T21:16:05.195287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q137500
median1.23441 × 108
Q36.559755 × 108
95-th percentile2.3579342 × 109
Maximum6.007429 × 109
Range6.007429 × 109
Interquartile range (IQR)6.55938 × 108

Descriptive statistics

Standard deviation1.1222093 × 109
Coefficient of variation (CV)1.8025167
Kurtosis11.282194
Mean6.2257915 × 108
Median Absolute Deviation (MAD)1.23441 × 108
Skewness2.9897058
Sum2.8638641 × 1010
Variance1.2593537 × 1018
MonotonicityNot monotonic
2023-12-12T21:16:05.345385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 12
26.1%
1456252000 1
 
2.2%
126740000 1
 
2.2%
3610000 1
 
2.2%
170579000 1
 
2.2%
30473000 1
 
2.2%
4234000 1
 
2.2%
2200711000 1
 
2.2%
147103000 1
 
2.2%
120142000 1
 
2.2%
Other values (25) 25
54.3%
ValueCountFrequency (%)
0 12
26.1%
150000 1
 
2.2%
654000 1
 
2.2%
1011000 1
 
2.2%
3610000 1
 
2.2%
4234000 1
 
2.2%
19454000 1
 
2.2%
30473000 1
 
2.2%
38725000 1
 
2.2%
54400000 1
 
2.2%
ValueCountFrequency (%)
6007429000 1
2.2%
3048535000 1
2.2%
2410342000 1
2.2%
2200711000 1
2.2%
2195995000 1
2.2%
1902786000 1
2.2%
1456252000 1
2.2%
1366149000 1
2.2%
1256811000 1
2.2%
1186947000 1
2.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2021-12-31
46 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-31
2nd row2021-12-31
3rd row2021-12-31
4th row2021-12-31
5th row2021-12-31

Common Values

ValueCountFrequency (%)
2021-12-31 46
100.0%

Length

2023-12-12T21:16:05.479277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:16:05.586004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-31 46
100.0%

Interactions

2023-12-12T21:16:01.645988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:16:01.470186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:16:01.751266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:16:01.563348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:16:05.687248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명세원 유형명부과건수부과금액
세목명1.0001.0000.7560.826
세원 유형명1.0001.0001.0001.000
부과건수0.7561.0001.0000.714
부과금액0.8261.0000.7141.000
2023-12-12T21:16:05.800903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수부과금액세목명
부과건수1.0000.7680.480
부과금액0.7681.0000.524
세목명0.4800.5241.000

Missing values

2023-12-12T21:16:01.941276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:16:02.157507image/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

시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액데이터기준일자
0경상북도청송군477502021지방소득세지방소득세(특별징수)423314562520002021-12-31
1경상북도청송군477502021지방소득세지방소득세(법인소득)49411869470002021-12-31
2경상북도청송군477502021지방소득세지방소득세(양도소득)5664451770002021-12-31
3경상북도청송군477502021지방소득세지방소득세(종합소득)19611745870002021-12-31
4경상북도청송군477502021담배소비세담배소비세47521959950002021-12-31
5경상북도청송군477502021교육세교육세7813224103420002021-12-31
6경상북도청송군477502021도시계획세도시계획세002021-12-31
7경상북도청송군477502021취득세건축물7077007850002021-12-31
8경상북도청송군477502021취득세주택(개별)7075215470002021-12-31
9경상북도청송군477502021취득세주택(단독)1304967990002021-12-31
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액데이터기준일자
36경상북도청송군477502021주민세주민세(법인세분)002021-12-31
37경상북도청송군477502021주민세주민세(양도소득)002021-12-31
38경상북도청송군477502021주민세주민세(종합소득)002021-12-31
39경상북도청송군477502021등록면허세등록면허세(면허)5569885660002021-12-31
40경상북도청송군477502021등록면허세등록면허세(등록)59933511120002021-12-31
41경상북도청송군477502021지역자원시설세지역자원시설세(소방)81702428170002021-12-31
42경상북도청송군477502021지역자원시설세지역자원시설세(시설)002021-12-31
43경상북도청송군477502021지역자원시설세지역자원시설세(특자)75387250002021-12-31
44경상북도청송군477502021지방소비세지방소비세760074290002021-12-31
45경상북도청송군477502021체납체납2280412568110002021-12-31