Overview

Dataset statistics

Number of variables8
Number of observations176
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory67.8 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description지방세 개방형 데이터 구축자료중 2017년 ~ 2021년도에 대한 경상남도 진주시 지방세 납세자 현황에 대한 자료제공입니다.
Author경상남도 진주시
URLhttps://www.data.go.kr/data/15080407/fileData.do

Alerts

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

Reproduction

Analysis started2024-04-06 08:47:43.198402
Analysis finished2024-04-06 08:47:44.789744
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
경상남도
176 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 176
100.0%

Length

2024-04-06T17:47:44.990117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:47:45.285187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 176
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
진주시
176 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진주시 176
100.0%

Length

2024-04-06T17:47:45.615381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:47:45.921998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진주시 176
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
48170
176 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row48170
2nd row48170
3rd row48170
4th row48170
5th row48170

Common Values

ValueCountFrequency (%)
48170 176
100.0%

Length

2024-04-06T17:47:46.340733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:47:46.625022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48170 176
100.0%

과세년도
Categorical

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2020
36 
2021
36 
2018
35 
2019
35 
2017
34 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2020 36
20.5%
2021 36
20.5%
2018 35
19.9%
2019 35
19.9%
2017 34
19.3%

Length

2024-04-06T17:47:46.935940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:47:47.273042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 36
20.5%
2021 36
20.5%
2018 35
19.9%
2019 35
19.9%
2017 34
19.3%

세목명
Categorical

Distinct10
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
재산세
20 
주민세
20 
취득세
20 
자동차세
20 
등록면허세
20 
Other values (5)
76 

Length

Max length7
Median length5
Mean length4.2272727
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 20
11.4%
주민세 20
11.4%
취득세 20
11.4%
자동차세 20
11.4%
등록면허세 20
11.4%
지방소득세 20
11.4%
지역자원시설세 20
11.4%
등록세 18
10.2%
담배소비세 16
9.1%
지방소비세 2
 
1.1%

Length

2024-04-06T17:47:47.608001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:47:48.555739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 20
11.4%
주민세 20
11.4%
취득세 20
11.4%
자동차세 20
11.4%
등록면허세 20
11.4%
지방소득세 20
11.4%
지역자원시설세 20
11.4%
등록세 18
10.2%
담배소비세 16
9.1%
지방소비세 2
 
1.1%

납세자유형
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
법인
90 
개인
86 

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 (%)
법인 90
51.1%
개인 86
48.9%

Length

2024-04-06T17:47:48.986601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:47:49.268225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 90
51.1%
개인 86
48.9%

관내_관외
Boolean

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
False
88 
True
88 
ValueCountFrequency (%)
False 88
50.0%
True 88
50.0%
2024-04-06T17:47:49.526172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct158
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16557.938
Minimum1
Maximum136509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-06T17:47:49.808713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q1172
median1699.5
Q37654.75
95-th percentile112304.5
Maximum136509
Range136508
Interquartile range (IQR)7482.75

Descriptive statistics

Standard deviation33985.935
Coefficient of variation (CV)2.0525464
Kurtosis4.7579864
Mean16557.938
Median Absolute Deviation (MAD)1692
Skewness2.4159199
Sum2914197
Variance1.1550438 × 109
MonotonicityNot monotonic
2024-04-06T17:47:50.182155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 10
 
5.7%
2 3
 
1.7%
66 3
 
1.7%
255 2
 
1.1%
8 2
 
1.1%
3 2
 
1.1%
21 2
 
1.1%
25 2
 
1.1%
173 1
 
0.6%
5692 1
 
0.6%
Other values (148) 148
84.1%
ValueCountFrequency (%)
1 10
5.7%
2 3
 
1.7%
3 2
 
1.1%
4 1
 
0.6%
5 1
 
0.6%
7 1
 
0.6%
8 2
 
1.1%
9 1
 
0.6%
11 1
 
0.6%
13 1
 
0.6%
ValueCountFrequency (%)
136509 1
0.6%
135457 1
0.6%
133831 1
0.6%
131244 1
0.6%
129441 1
0.6%
119973 1
0.6%
116865 1
0.6%
116125 1
0.6%
113317 1
0.6%
111967 1
0.6%

Interactions

2024-04-06T17:47:43.899062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:47:50.470649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내_관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.517
납세자유형0.0000.0001.0000.0000.451
관내_관외0.0000.0000.0001.0000.355
납세자수0.0000.5170.4510.3551.000
2024-04-06T17:47:50.785115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관내_관외납세자유형과세년도세목명
관내_관외1.0000.0000.0000.000
납세자유형0.0001.0000.0000.000
과세년도0.0000.0001.0000.000
세목명0.0000.0000.0001.000
2024-04-06T17:47:51.063600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수과세년도세목명납세자유형관내_관외
납세자수1.0000.0000.2900.4760.374
과세년도0.0001.0000.0000.0000.000
세목명0.2900.0001.0000.0000.000
납세자유형0.4760.0000.0001.0000.000
관내_관외0.3740.0000.0000.0001.000

Missing values

2024-04-06T17:47:44.285937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:47:44.662787image/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
0경상남도진주시481702017등록세개인N173
1경상남도진주시481702017등록세개인Y308
2경상남도진주시481702017등록세법인Y7
3경상남도진주시481702017재산세개인N48200
4경상남도진주시481702017재산세개인Y107873
5경상남도진주시481702017재산세법인N929
6경상남도진주시481702017재산세법인Y3508
7경상남도진주시481702017주민세개인N13065
8경상남도진주시481702017주민세개인Y129441
9경상남도진주시481702017주민세법인N933
시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수
166경상남도진주시481702021등록면허세법인Y3341
167경상남도진주시481702021지방소득세개인N5431
168경상남도진주시481702021지방소득세개인Y55516
169경상남도진주시481702021지방소득세법인N1205
170경상남도진주시481702021지방소득세법인Y3445
171경상남도진주시481702021지방소비세법인Y1
172경상남도진주시481702021지역자원시설세개인N19
173경상남도진주시481702021지역자원시설세개인Y174
174경상남도진주시481702021지역자원시설세법인N16
175경상남도진주시481702021지역자원시설세법인Y66