Overview

Dataset statistics

Number of variables9
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory78.3 B

Variable types

Categorical6
Boolean1
Numeric1
DateTime1

Dataset

Description세목별(주민세, 취득세, 등록세, 자동차세, 담배소비세, 등록면허세, 지방소득세, 지역자원시설세 등) 납세 인원 현황을 제공합니다. (관외 납세자에 대한 부과징수 정책수립시 기초자료로 활용)
Author전라남도 광양시
URLhttps://www.data.go.kr/data/15078881/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 started2024-03-14 08:42:21.531260
Analysis finished2024-03-14 08:42:22.754819
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
전라남도
39 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 39
100.0%

Length

2024-03-14T17:42:22.945784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:42:23.251425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 39
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
광양시
39 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광양시 39
100.0%

Length

2024-03-14T17:42:23.562732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:42:23.865470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광양시 39
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
46230
39 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46230
2nd row46230
3rd row46230
4th row46230
5th row46230

Common Values

ValueCountFrequency (%)
46230 39
100.0%

Length

2024-03-14T17:42:24.176136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:42:24.481158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46230 39
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
2022
39 

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 39
100.0%

Length

2024-03-14T17:42:24.796032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:42:25.096208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 39
100.0%

세목명
Categorical

Distinct11
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size440.0 B
등록세
4 
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
Other values (6)
19 

Length

Max length7
Median length5
Mean length4.1794872
Min length3

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
등록세 4
10.3%
재산세 4
10.3%
주민세 4
10.3%
취득세 4
10.3%
자동차세 4
10.3%
담배소비세 4
10.3%
등록면허세 4
10.3%
지방소득세 4
10.3%
지역자원시설세 4
10.3%
레저세 2
5.1%

Length

2024-03-14T17:42:25.469426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등록세 4
10.3%
재산세 4
10.3%
주민세 4
10.3%
취득세 4
10.3%
자동차세 4
10.3%
담배소비세 4
10.3%
등록면허세 4
10.3%
지방소득세 4
10.3%
지역자원시설세 4
10.3%
레저세 2
5.1%

납세자유형
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size440.0 B
법인
20 
개인
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 (%)
법인 20
51.3%
개인 19
48.7%

Length

2024-03-14T17:42:25.871778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:42:26.182485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 20
51.3%
개인 19
48.7%

관내_관외
Boolean

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size167.0 B
False
20 
True
19 
ValueCountFrequency (%)
False 20
51.3%
True 19
48.7%
2024-03-14T17:42:26.470907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct33
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8094.1026
Minimum1
Maximum61710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-03-14T17:42:26.795265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17.5
median1098
Q33464
95-th percentile54801
Maximum61710
Range61709
Interquartile range (IQR)3456.5

Descriptive statistics

Standard deviation16829.93
Coefficient of variation (CV)2.0792831
Kurtosis4.5251863
Mean8094.1026
Median Absolute Deviation (MAD)1096
Skewness2.375387
Sum315670
Variance2.8324656 × 108
MonotonicityNot monotonic
2024-03-14T17:42:27.188633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2 3
 
7.7%
1 3
 
7.7%
3 2
 
5.1%
1098 2
 
5.1%
183 1
 
2.6%
1600 1
 
2.6%
36 1
 
2.6%
5 1
 
2.6%
4592 1
 
2.6%
19092 1
 
2.6%
Other values (23) 23
59.0%
ValueCountFrequency (%)
1 3
7.7%
2 3
7.7%
3 2
5.1%
5 1
 
2.6%
7 1
 
2.6%
8 1
 
2.6%
30 1
 
2.6%
36 1
 
2.6%
183 1
 
2.6%
293 1
 
2.6%
ValueCountFrequency (%)
61710 1
2.6%
57285 1
2.6%
54525 1
2.6%
40985 1
2.6%
29256 1
2.6%
19092 1
2.6%
15867 1
2.6%
4592 1
2.6%
3961 1
2.6%
3507 1
2.6%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
Minimum2022-12-30 00:00:00
Maximum2022-12-30 00:00:00
2024-03-14T17:42:27.529768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:42:27.829409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T17:42:21.783399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:42:28.043984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내_관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.281
관내_관외0.0000.0001.0000.236
납세자수0.0000.2810.2361.000
2024-03-14T17:42:28.300348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관내_관외납세자유형세목명
관내_관외1.0000.0000.000
납세자유형0.0001.0000.000
세목명0.0000.0001.000
2024-03-14T17:42:28.550966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내_관외
납세자수1.0000.0000.2730.226
세목명0.0001.0000.0000.000
납세자유형0.2730.0001.0000.000
관내_관외0.2260.0000.0001.000

Missing values

2024-03-14T17:42:22.133309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:42:22.581732image/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
0전라남도광양시462302022등록세개인N1832022-12-30
1전라남도광양시462302022등록세개인Y3902022-12-30
2전라남도광양시462302022등록세법인N22022-12-30
3전라남도광양시462302022등록세법인Y82022-12-30
4전라남도광양시462302022레저세개인N22022-12-30
5전라남도광양시462302022레저세법인N22022-12-30
6전라남도광양시462302022재산세개인N409852022-12-30
7전라남도광양시462302022재산세개인Y545252022-12-30
8전라남도광양시462302022재산세법인N10982022-12-30
9전라남도광양시462302022재산세법인Y18742022-12-30
시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수데이터기준일
29전라남도광양시462302022등록면허세법인Y22282022-12-30
30전라남도광양시462302022지방소득세개인N39612022-12-30
31전라남도광양시462302022지방소득세개인Y292562022-12-30
32전라남도광양시462302022지방소득세법인N10982022-12-30
33전라남도광양시462302022지방소득세법인Y24792022-12-30
34전라남도광양시462302022지방소비세법인Y12022-12-30
35전라남도광양시462302022지역자원시설세개인N32022-12-30
36전라남도광양시462302022지역자원시설세개인Y302022-12-30
37전라남도광양시462302022지역자원시설세법인N12022-12-30
38전라남도광양시462302022지역자원시설세법인Y72022-12-30