Overview

Dataset statistics

Number of variables9
Number of observations68
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory76.9 B

Variable types

Categorical7
Boolean1
Numeric1

Dataset

Description제공범위(대상) : 세목별 납세 인원에 현황을 제공 관련법령 : 지방세법 소관기관 : 지방자치단체 제공기관 : 시군구 표준데이터셋 제공시스템 : 표준지방세시스템 자료기준일 : 매년 12월31일
URLhttps://www.data.go.kr/data/15079040/fileData.do

Alerts

시도명 has constant value ""Constant
과세년도 has constant value ""Constant
데이터기준일 has constant value ""Constant
시군구명 is highly overall correlated with 자치단체코드 and 1 other fieldsHigh correlation
자치단체코드 is highly overall correlated with 시군구명 and 1 other fieldsHigh correlation
세목명 is highly overall correlated with 시군구명 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 19:10:19.938054
Analysis finished2023-12-12 19:10:20.636860
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
경상북도
68 

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 68
100.0%

Length

2023-12-13T04:10:20.737858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:10:20.870676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 68
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
포항시남구
32 
포항시북구
31 
포항시
5 

Length

Max length5
Median length5
Mean length4.8529412
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
포항시남구 32
47.1%
포항시북구 31
45.6%
포항시 5
 
7.4%

Length

2023-12-13T04:10:20.987513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:10:21.121853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포항시남구 32
47.1%
포항시북구 31
45.6%
포항시 5
 
7.4%

자치단체코드
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
47111
32 
47113
31 
47110
5 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row47110
2nd row47110
3rd row47110
4th row47110
5th row47110

Common Values

ValueCountFrequency (%)
47111 32
47.1%
47113 31
45.6%
47110 5
 
7.4%

Length

2023-12-13T04:10:21.239503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:10:21.454468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47111 32
47.1%
47113 31
45.6%
47110 5
 
7.4%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
2021
68 

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 68
100.0%

Length

2023-12-13T04:10:21.918705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:10:22.027110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 68
100.0%

세목명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size676.0 B
자동차세
9 
등록세
8 
재산세
8 
주민세
8 
취득세
8 
Other values (5)
27 

Length

Max length7
Median length5
Mean length4.1323529
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row자동차세
2nd row담배소비세
3rd row담배소비세
4th row담배소비세
5th row지방소비세

Common Values

ValueCountFrequency (%)
자동차세 9
13.2%
등록세 8
11.8%
재산세 8
11.8%
주민세 8
11.8%
취득세 8
11.8%
등록면허세 8
11.8%
지방소득세 8
11.8%
지역자원시설세 7
10.3%
담배소비세 3
 
4.4%
지방소비세 1
 
1.5%

Length

2023-12-13T04:10:22.157717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:10:22.314907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차세 9
13.2%
등록세 8
11.8%
재산세 8
11.8%
주민세 8
11.8%
취득세 8
11.8%
등록면허세 8
11.8%
지방소득세 8
11.8%
지역자원시설세 7
10.3%
담배소비세 3
 
4.4%
지방소비세 1
 
1.5%

납세자유형
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
법인
36 
개인
32 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row개인
3rd row법인
4th row법인
5th row법인

Common Values

ValueCountFrequency (%)
법인 36
52.9%
개인 32
47.1%

Length

2023-12-13T04:10:22.500907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:10:22.622347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 36
52.9%
개인 32
47.1%

관내/관외
Boolean

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size200.0 B
False
34 
True
34 
ValueCountFrequency (%)
False 34
50.0%
True 34
50.0%
2023-12-13T04:10:22.713298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct62
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14336.191
Minimum1
Maximum114297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-13T04:10:22.837891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q1151.5
median1673
Q34729.25
95-th percentile93322.3
Maximum114297
Range114296
Interquartile range (IQR)4577.75

Descriptive statistics

Standard deviation29221.083
Coefficient of variation (CV)2.0382738
Kurtosis4.5158363
Mean14336.191
Median Absolute Deviation (MAD)1670
Skewness2.3539619
Sum974861
Variance8.5387168 × 108
MonotonicityNot monotonic
2023-12-13T04:10:22.991353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4
 
5.9%
2 3
 
4.4%
10 2
 
2.9%
4 1
 
1.5%
50564 1
 
1.5%
114297 1
 
1.5%
381 1
 
1.5%
1017 1
 
1.5%
883 1
 
1.5%
4606 1
 
1.5%
Other values (52) 52
76.5%
ValueCountFrequency (%)
1 4
5.9%
2 3
4.4%
4 1
 
1.5%
8 1
 
1.5%
10 2
2.9%
13 1
 
1.5%
16 1
 
1.5%
17 1
 
1.5%
19 1
 
1.5%
30 1
 
1.5%
ValueCountFrequency (%)
114297 1
1.5%
109145 1
1.5%
100821 1
1.5%
96179 1
1.5%
88017 1
1.5%
85288 1
1.5%
50564 1
1.5%
45581 1
1.5%
44137 1
1.5%
36942 1
1.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
2021-12-31
68 

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 68
100.0%

Length

2023-12-13T04:10:23.158568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:10:23.258815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-31 68
100.0%

Interactions

2023-12-13T04:10:20.267441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:10:23.340147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명자치단체코드세목명납세자유형관내/관외납세자수
시군구명1.0001.0000.7030.0000.0000.000
자치단체코드1.0001.0000.7030.0000.0000.000
세목명0.7030.7031.0000.0000.0000.000
납세자유형0.0000.0000.0001.0000.0000.606
관내/관외0.0000.0000.0000.0001.0000.412
납세자수0.0000.0000.0000.6060.4121.000
2023-12-13T04:10:23.452225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명납세자유형자치단체코드관내/관외세목명
시군구명1.0000.0001.0000.0000.528
납세자유형0.0001.0000.0000.0000.000
자치단체코드1.0000.0001.0000.0000.528
관내/관외0.0000.0000.0001.0000.000
세목명0.5280.0000.5280.0001.000
2023-12-13T04:10:23.568015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수시군구명자치단체코드세목명납세자유형관내/관외
납세자수1.0000.0000.0000.0000.4360.293
시군구명0.0001.0001.0000.5280.0000.000
자치단체코드0.0001.0001.0000.5280.0000.000
세목명0.0000.5280.5281.0000.0000.000
납세자유형0.4360.0000.0000.0001.0000.000
관내/관외0.2930.0000.0000.0000.0001.000

Missing values

2023-12-13T04:10:20.392101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:10:20.556057image/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

시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수데이터기준일
0경상북도포항시471102021자동차세법인N12021-12-31
1경상북도포항시471102021담배소비세개인N172021-12-31
2경상북도포항시471102021담배소비세법인N82021-12-31
3경상북도포항시471102021담배소비세법인Y302021-12-31
4경상북도포항시471102021지방소비세법인Y12021-12-31
5경상북도포항시남구471112021등록세개인N932021-12-31
6경상북도포항시남구471112021등록세개인Y2662021-12-31
7경상북도포항시남구471112021등록세법인N22021-12-31
8경상북도포항시남구471112021등록세법인Y22021-12-31
9경상북도포항시남구471112021재산세개인N441372021-12-31
시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수데이터기준일
58경상북도포항시북구471132021등록면허세개인Y363592021-12-31
59경상북도포항시북구471132021등록면허세법인N13002021-12-31
60경상북도포항시북구471132021등록면허세법인Y29452021-12-31
61경상북도포항시북구471132021지방소득세개인N41762021-12-31
62경상북도포항시북구471132021지방소득세개인Y455812021-12-31
63경상북도포항시북구471132021지방소득세법인N7252021-12-31
64경상북도포항시북구471132021지방소득세법인Y26172021-12-31
65경상북도포항시북구471132021지역자원시설세개인Y192021-12-31
66경상북도포항시북구471132021지역자원시설세법인N12021-12-31
67경상북도포항시북구471132021지역자원시설세법인Y132021-12-31