Overview

Dataset statistics

Number of variables9
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory78.8 B

Variable types

Categorical6
Boolean1
Numeric1
DateTime1

Dataset

Description세목별 납세 인원 현황을 제공하며 관외 납세자에 대한 부과징수 정책 수립시 기초자료로 활용됩니다 그리고 과세년도, 세목명, 납세자 유형 등을 제공합니다
URLhttps://www.data.go.kr/data/15078754/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 16:39:20.311733
Analysis finished2023-12-12 16:39:21.122282
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
경기도
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 35
100.0%

Length

2023-12-13T01:39:21.231456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:39:21.365158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 35
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
광주시
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주시 35
100.0%

Length

2023-12-13T01:39:21.510002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:39:21.651870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주시 35
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
41610
35 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41610
2nd row41610
3rd row41610
4th row41610
5th row41610

Common Values

ValueCountFrequency (%)
41610 35
100.0%

Length

2023-12-13T01:39:22.143427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:39:22.277598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41610 35
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2021
35 

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 35
100.0%

Length

2023-12-13T01:39:22.410676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:39:22.530729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 35
100.0%

세목명
Categorical

Distinct10
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
등록면허세
4 
Other values (5)
15 

Length

Max length7
Median length5
Mean length4.2571429
Min length3

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 4
11.4%
주민세 4
11.4%
취득세 4
11.4%
자동차세 4
11.4%
등록면허세 4
11.4%
지방소득세 4
11.4%
지역자원시설세 4
11.4%
등록세 3
8.6%
담배소비세 3
8.6%
지방소비세 1
 
2.9%

Length

2023-12-13T01:39:22.675717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:39:22.831869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 4
11.4%
주민세 4
11.4%
취득세 4
11.4%
자동차세 4
11.4%
등록면허세 4
11.4%
지방소득세 4
11.4%
지역자원시설세 4
11.4%
등록세 3
8.6%
담배소비세 3
8.6%
지방소비세 1
 
2.9%

납세자유형
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
개인
18 
법인
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 18
51.4%
법인 17
48.6%

Length

2023-12-13T01:39:23.006042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:39:23.116171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 18
51.4%
법인 17
48.6%

관내/관외
Boolean

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size167.0 B
False
18 
True
17 
ValueCountFrequency (%)
False 18
51.4%
True 17
48.6%
2023-12-13T01:39:23.196355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21505.771
Minimum1
Maximum149200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-13T01:39:23.291584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q186.5
median3300
Q315103
95-th percentile119741.6
Maximum149200
Range149199
Interquartile range (IQR)15016.5

Descriptive statistics

Standard deviation39967.041
Coefficient of variation (CV)1.8584333
Kurtosis4.2306666
Mean21505.771
Median Absolute Deviation (MAD)3298
Skewness2.2588972
Sum752702
Variance1.5973644 × 109
MonotonicityNot monotonic
2023-12-13T01:39:23.405830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 3
 
8.6%
7 1
 
2.9%
86595 1
 
2.9%
8 1
 
2.9%
17784 1
 
2.9%
43864 1
 
2.9%
4788 1
 
2.9%
6297 1
 
2.9%
15181 1
 
2.9%
3038 1
 
2.9%
Other values (23) 23
65.7%
ValueCountFrequency (%)
1 3
8.6%
2 1
 
2.9%
7 1
 
2.9%
8 1
 
2.9%
27 1
 
2.9%
47 1
 
2.9%
75 1
 
2.9%
98 1
 
2.9%
160 1
 
2.9%
987 1
 
2.9%
ValueCountFrequency (%)
149200 1
2.9%
138741 1
2.9%
111599 1
2.9%
86595 1
2.9%
65672 1
2.9%
43864 1
2.9%
38979 1
2.9%
17784 1
2.9%
15181 1
2.9%
15025 1
2.9%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2023-04-03 00:00:00
Maximum2023-04-03 00:00:00
2023-12-13T01:39:23.501430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:39:23.582224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:39:20.620590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:39:23.647459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내/관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.465
관내/관외0.0000.0001.0000.361
납세자수0.0000.4650.3611.000
2023-12-13T01:39:23.731896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자유형관내/관외세목명
납세자유형1.0000.0000.000
관내/관외0.0001.0000.000
세목명0.0000.0001.000
2023-12-13T01:39:23.836030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내/관외
납세자수1.0000.0000.4550.350
세목명0.0001.0000.0000.000
납세자유형0.4550.0001.0000.000
관내/관외0.3500.0000.0001.000

Missing values

2023-12-13T01:39:20.815928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:39:21.049646image/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
0경기도광주시416102021등록세개인N72023-04-03
1경기도광주시416102021등록세개인Y22023-04-03
2경기도광주시416102021등록세법인N12023-04-03
3경기도광주시416102021재산세개인N656722023-04-03
4경기도광주시416102021재산세개인Y1115992023-04-03
5경기도광주시416102021재산세법인N21192023-04-03
6경기도광주시416102021재산세법인Y33002023-04-03
7경기도광주시416102021주민세개인N150252023-04-03
8경기도광주시416102021주민세개인Y1492002023-04-03
9경기도광주시416102021주민세법인N25522023-04-03
시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수데이터기준일
25경기도광주시416102021등록면허세법인Y62972023-04-03
26경기도광주시416102021지방소득세개인N151812023-04-03
27경기도광주시416102021지방소득세개인Y865952023-04-03
28경기도광주시416102021지방소득세법인N30382023-04-03
29경기도광주시416102021지방소득세법인Y69532023-04-03
30경기도광주시416102021지방소비세법인Y12023-04-03
31경기도광주시416102021지역자원시설세개인N752023-04-03
32경기도광주시416102021지역자원시설세개인Y1602023-04-03
33경기도광주시416102021지역자원시설세법인N272023-04-03
34경기도광주시416102021지역자원시설세법인Y982023-04-03