Overview

Dataset statistics

Number of variables8
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory70.9 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description지방세 세목별 납세 인원 현황 데이터를 제공합니다. 관외 납세자에 대한 부과징수 정책 수립시 기초자료로 활용할 수 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=349&beforeMenuCd=DOM_000000201001001000&publicdatapk=15079037

Alerts

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

Reproduction

Analysis started2024-01-09 22:37:35.271169
Analysis finished2024-01-09 22:37:35.637567
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
충청남도
34 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 34
100.0%

Length

2024-01-10T07:37:35.691491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:35.768644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 34
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
아산시
34 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아산시 34
100.0%

Length

2024-01-10T07:37:35.850417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:35.940122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아산시 34
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
44200
34 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44200
2nd row44200
3rd row44200
4th row44200
5th row44200

Common Values

ValueCountFrequency (%)
44200 34
100.0%

Length

2024-01-10T07:37:36.039342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:36.124751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44200 34
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2021
34 

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 34
100.0%

Length

2024-01-10T07:37:36.215050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:36.301798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 34
100.0%

세목명
Categorical

Distinct10
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
등록면허세
4 
Other values (5)
14 

Length

Max length7
Median length5
Mean length4.2352941
Min length3

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 4
11.8%
주민세 4
11.8%
취득세 4
11.8%
자동차세 4
11.8%
등록면허세 4
11.8%
지방소득세 4
11.8%
지역자원시설세 4
11.8%
등록세 3
8.8%
담배소비세 2
5.9%
지방소비세 1
 
2.9%

Length

2024-01-10T07:37:36.403323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:36.516429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 4
11.8%
주민세 4
11.8%
취득세 4
11.8%
자동차세 4
11.8%
등록면허세 4
11.8%
지방소득세 4
11.8%
지역자원시설세 4
11.8%
등록세 3
8.8%
담배소비세 2
5.9%
지방소비세 1
 
2.9%

납세자유형
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
개인
17 
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 17
50.0%
법인 17
50.0%

Length

2024-01-10T07:37:36.640923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:36.728150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 17
50.0%
법인 17
50.0%

관내_관외
Boolean

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
17 
True
17 
ValueCountFrequency (%)
False 17
50.0%
True 17
50.0%
2024-01-10T07:37:36.804259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19389.735
Minimum1
Maximum124695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-10T07:37:36.894561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q1166.75
median3377
Q312981.5
95-th percentile105330.95
Maximum124695
Range124694
Interquartile range (IQR)12814.75

Descriptive statistics

Standard deviation35382.092
Coefficient of variation (CV)1.8247847
Kurtosis3.4973457
Mean19389.735
Median Absolute Deviation (MAD)3357.5
Skewness2.135764
Sum659251
Variance1.2518924 × 109
MonotonicityNot monotonic
2024-01-10T07:37:37.014980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
6 2
 
5.9%
159 1
 
2.9%
11420 1
 
2.9%
49 1
 
2.9%
15844 1
 
2.9%
37776 1
 
2.9%
4262 1
 
2.9%
4361 1
 
2.9%
58434 1
 
2.9%
190 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
1 1
2.9%
6 2
5.9%
8 1
2.9%
9 1
2.9%
30 1
2.9%
49 1
2.9%
71 1
2.9%
159 1
2.9%
190 1
2.9%
787 1
2.9%
ValueCountFrequency (%)
124695 1
2.9%
121709 1
2.9%
96512 1
2.9%
86276 1
2.9%
58434 1
2.9%
37776 1
2.9%
34732 1
2.9%
15844 1
2.9%
13502 1
2.9%
11420 1
2.9%

Interactions

2024-01-10T07:37:35.401925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:37:37.101839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내_관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.583
관내_관외0.0000.0001.0000.393
납세자수0.0000.5830.3931.000
2024-01-10T07:37:37.194326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관내_관외세목명납세자유형
관내_관외1.0000.0000.000
세목명0.0001.0000.000
납세자유형0.0000.0001.000
2024-01-10T07:37:37.290899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내_관외
납세자수1.0000.0000.3910.255
세목명0.0001.0000.0000.000
납세자유형0.3910.0001.0000.000
관내_관외0.2550.0000.0001.000

Missing values

2024-01-10T07:37:35.493962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:37:35.597498image/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
0충청남도아산시442002021등록세개인N159
1충청남도아산시442002021등록세개인Y190
2충청남도아산시442002021등록세법인Y8
3충청남도아산시442002021재산세개인N86276
4충청남도아산시442002021재산세개인Y96512
5충청남도아산시442002021재산세법인N2906
6충청남도아산시442002021재산세법인Y3253
7충청남도아산시442002021주민세개인N10450
8충청남도아산시442002021주민세개인Y124695
9충청남도아산시442002021주민세법인N2274
시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수
24충청남도아산시442002021등록면허세법인Y4361
25충청남도아산시442002021지방소득세개인N11420
26충청남도아산시442002021지방소득세개인Y58434
27충청남도아산시442002021지방소득세법인N2835
28충청남도아산시442002021지방소득세법인Y4629
29충청남도아산시442002021지방소비세법인Y1
30충청남도아산시442002021지역자원시설세개인N6
31충청남도아산시442002021지역자원시설세개인Y9
32충청남도아산시442002021지역자원시설세법인N30
33충청남도아산시442002021지역자원시설세법인Y71