Overview

Dataset statistics

Number of variables8
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory70.5 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description경상북도 울진군의 지방세 납세자 현황에 대한 데이터로 경상북도 울진군 의 지방세 세목별 납세 인원 현황 등(결산기준)을 제공합니다.
Author경상북도 울진군
URLhttps://www.data.go.kr/data/15078991/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
과세년도 has constant value ""Constant

Reproduction

Analysis started2023-12-12 18:24:57.117715
Analysis finished2023-12-12 18:24:57.565739
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
경상북도
38 

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 38
100.0%

Length

2023-12-13T03:24:57.667396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:24:57.789112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 38
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
울진군
38 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울진군 38
100.0%

Length

2023-12-13T03:24:57.883730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:24:57.978656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울진군 38
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
47930
38 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row47930
2nd row47930
3rd row47930
4th row47930
5th row47930

Common Values

ValueCountFrequency (%)
47930 38
100.0%

Length

2023-12-13T03:24:58.087809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:24:58.180838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47930 38
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2022
38 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 38
100.0%

Length

2023-12-13T03:24:58.274490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:24:58.366167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 38
100.0%

세목명
Categorical

Distinct11
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
등록세
4 
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
Other values (6)
18 

Length

Max length7
Median length5
Mean length4.1578947
Min length3

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row등록세
2nd row등록세
3rd row등록세
4th row등록세
5th row레저세

Common Values

ValueCountFrequency (%)
등록세 4
10.5%
재산세 4
10.5%
주민세 4
10.5%
취득세 4
10.5%
자동차세 4
10.5%
등록면허세 4
10.5%
지방소득세 4
10.5%
지역자원시설세 4
10.5%
담배소비세 3
7.9%
레저세 2
5.3%

Length

2023-12-13T03:24:58.483844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등록세 4
10.5%
재산세 4
10.5%
주민세 4
10.5%
취득세 4
10.5%
자동차세 4
10.5%
등록면허세 4
10.5%
지방소득세 4
10.5%
지역자원시설세 4
10.5%
담배소비세 3
7.9%
레저세 2
5.3%

납세자유형
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
개인
19 
법인
19 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 19
50.0%
법인 19
50.0%

Length

2023-12-13T03:24:58.610080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:24:58.703885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 19
50.0%
법인 19
50.0%

관내_관외
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size170.0 B
False
20 
True
18 
ValueCountFrequency (%)
False 20
52.6%
True 18
47.4%
2023-12-13T03:24:58.794701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3079.8684
Minimum1
Maximum25077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T03:24:58.891798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q110
median539.5
Q31585.5
95-th percentile20028
Maximum25077
Range25076
Interquartile range (IQR)1575.5

Descriptive statistics

Standard deviation6452.7181
Coefficient of variation (CV)2.0951279
Kurtosis5.219692
Mean3079.8684
Median Absolute Deviation (MAD)536.5
Skewness2.5020563
Sum117035
Variance41637571
MonotonicityNot monotonic
2023-12-13T03:24:59.008830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 3
 
7.9%
3 3
 
7.9%
10 2
 
5.3%
556 1
 
2.6%
687 1
 
2.6%
524 1
 
2.6%
38 1
 
2.6%
2 1
 
2.6%
1805 1
 
2.6%
6889 1
 
2.6%
Other values (23) 23
60.5%
ValueCountFrequency (%)
1 3
7.9%
2 1
 
2.6%
3 3
7.9%
4 1
 
2.6%
6 1
 
2.6%
10 2
5.3%
38 1
 
2.6%
65 1
 
2.6%
94 1
 
2.6%
211 1
 
2.6%
ValueCountFrequency (%)
25077 1
2.6%
21422 1
2.6%
19782 1
2.6%
16751 1
2.6%
7542 1
2.6%
6889 1
2.6%
4420 1
2.6%
1805 1
2.6%
1606 1
2.6%
1586 1
2.6%

Interactions

2023-12-13T03:24:57.286023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:24:59.079692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내_관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.301
관내_관외0.0000.0001.0000.293
납세자수0.0000.3010.2931.000
2023-12-13T03:24:59.166059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관내_관외세목명납세자유형
관내_관외1.0000.0000.000
세목명0.0001.0000.000
납세자유형0.0000.0001.000
2023-12-13T03:24:59.250448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내_관외
납세자수1.0000.0000.1940.188
세목명0.0001.0000.0000.000
납세자유형0.1940.0001.0000.000
관내_관외0.1880.0000.0001.000

Missing values

2023-12-13T03:24:57.390606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:24:57.518022image/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_관외납세자수
0경상북도울진군479302022등록세개인N556
1경상북도울진군479302022등록세개인Y455
2경상북도울진군479302022등록세법인N4
3경상북도울진군479302022등록세법인Y10
4경상북도울진군479302022레저세개인N1
5경상북도울진군479302022레저세법인N3
6경상북도울진군479302022재산세개인N25077
7경상북도울진군479302022재산세개인Y19782
8경상북도울진군479302022재산세법인N555
9경상북도울진군479302022재산세법인Y1095
시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수
28경상북도울진군479302022등록면허세법인Y752
29경상북도울진군479302022지방소득세개인N1586
30경상북도울진군479302022지방소득세개인Y7542
31경상북도울진군479302022지방소득세법인N414
32경상북도울진군479302022지방소득세법인Y688
33경상북도울진군479302022지방소비세법인Y1
34경상북도울진군479302022지역자원시설세개인N1
35경상북도울진군479302022지역자원시설세개인Y10
36경상북도울진군479302022지역자원시설세법인N6
37경상북도울진군479302022지역자원시설세법인Y3