Overview

Dataset statistics

Number of variables8
Number of observations196
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory67.7 B

Variable types

Categorical5
Numeric2
Boolean1

Dataset

Description울산광역시 남구 지방세 납세자 현황에 대한 데이터로 시도명, 시군구명, 자치단체코드, 과세년도, 세목명, 납세자유형 등의 항목을 제공합니다.
Author울산광역시 남구
URLhttps://www.data.go.kr/data/15078380/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
납세자수 is highly overall correlated with 납세자유형High correlation
납세자유형 is highly overall correlated with 납세자수High correlation

Reproduction

Analysis started2024-04-29 22:42:00.669882
Analysis finished2024-04-29 22:42:02.949608
Duration2.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
울산광역시
196 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 196
100.0%

Length

2024-04-30T07:42:03.013830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:42:03.099439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 196
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
남구
196 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 196
100.0%

Length

2024-04-30T07:42:03.190301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:42:03.278687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 196
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
31140
196 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31140
2nd row31140
3rd row31140
4th row31140
5th row31140

Common Values

ValueCountFrequency (%)
31140 196
100.0%

Length

2024-04-30T07:42:03.372038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:42:03.461312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31140 196
100.0%

과세년도
Real number (ℝ)

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.5459
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-30T07:42:03.546645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2020
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7255051
Coefficient of variation (CV)0.00085440251
Kurtosis-1.2877953
Mean2019.5459
Median Absolute Deviation (MAD)2
Skewness-0.030000278
Sum395831
Variance2.9773679
MonotonicityDecreasing
2024-04-30T07:42:03.648670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 35
17.9%
2021 33
16.8%
2020 32
16.3%
2019 32
16.3%
2018 32
16.3%
2017 32
16.3%
ValueCountFrequency (%)
2017 32
16.3%
2018 32
16.3%
2019 32
16.3%
2020 32
16.3%
2021 33
16.8%
2022 35
17.9%
ValueCountFrequency (%)
2022 35
17.9%
2021 33
16.8%
2020 32
16.3%
2019 32
16.3%
2018 32
16.3%
2017 32
16.3%

세목명
Categorical

Distinct10
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
재산세
24 
주민세
24 
취득세
24 
자동차세
24 
등록면허세
24 
Other values (5)
76 

Length

Max length7
Median length5
Mean length4.1326531
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 24
12.2%
주민세 24
12.2%
취득세 24
12.2%
자동차세 24
12.2%
등록면허세 24
12.2%
지방소득세 24
12.2%
지역자원시설세 24
12.2%
등록세 23
11.7%
지방소비세 3
 
1.5%
레저세 2
 
1.0%

Length

2024-04-30T07:42:03.769218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:42:03.895010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 24
12.2%
주민세 24
12.2%
취득세 24
12.2%
자동차세 24
12.2%
등록면허세 24
12.2%
지방소득세 24
12.2%
지역자원시설세 24
12.2%
등록세 23
11.7%
지방소비세 3
 
1.5%
레저세 2
 
1.0%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
법인
99 
개인
97 

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 99
50.5%
개인 97
49.5%

Length

2024-04-30T07:42:04.074563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:42:04.168237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 99
50.5%
개인 97
49.5%

관내_관외
Boolean

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
True
99 
False
97 
ValueCountFrequency (%)
True 99
50.5%
False 97
49.5%
2024-04-30T07:42:04.254811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

HIGH CORRELATION 

Distinct176
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15847.74
Minimum1
Maximum121653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-30T07:42:04.359957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q157.5
median2572.5
Q313979.25
95-th percentile96522.5
Maximum121653
Range121652
Interquartile range (IQR)13921.75

Descriptive statistics

Standard deviation29949.557
Coefficient of variation (CV)1.8898315
Kurtosis4.3479695
Mean15847.74
Median Absolute Deviation (MAD)2543.5
Skewness2.3303014
Sum3106157
Variance8.9697599 × 108
MonotonicityNot monotonic
2024-04-30T07:42:04.502441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5
 
2.6%
27 3
 
1.5%
4 3
 
1.5%
3 3
 
1.5%
5 3
 
1.5%
52 2
 
1.0%
48 2
 
1.0%
12 2
 
1.0%
29 2
 
1.0%
21 2
 
1.0%
Other values (166) 169
86.2%
ValueCountFrequency (%)
1 5
2.6%
2 1
 
0.5%
3 3
1.5%
4 3
1.5%
5 3
1.5%
8 1
 
0.5%
10 1
 
0.5%
12 2
 
1.0%
14 1
 
0.5%
18 1
 
0.5%
ValueCountFrequency (%)
121653 1
0.5%
119009 1
0.5%
118213 1
0.5%
114577 1
0.5%
112887 1
0.5%
109966 1
0.5%
108477 1
0.5%
107136 1
0.5%
101484 1
0.5%
100190 1
0.5%

Interactions

2024-04-30T07:42:02.530076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:42:02.172902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:42:02.622719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:42:02.308995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:42:04.601436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내_관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.692
납세자유형0.0000.0001.0000.0000.741
관내_관외0.0000.0000.0001.0000.510
납세자수0.0000.6920.7410.5101.000
2024-04-30T07:42:04.709582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자유형세목명관내_관외
납세자유형1.0000.0000.000
세목명0.0001.0000.000
관내_관외0.0000.0001.000
2024-04-30T07:42:04.813599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도납세자수세목명납세자유형관내_관외
과세년도1.000-0.0480.0000.0000.000
납세자수-0.0481.0000.2760.5690.384
세목명0.0000.2761.0000.0000.000
납세자유형0.0000.5690.0001.0000.000
관내_관외0.0000.3840.0000.0001.000

Missing values

2024-04-30T07:42:02.757960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:42:02.895833image/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
0울산광역시남구311402022등록세개인N29
1울산광역시남구311402022등록세개인Y27
2울산광역시남구311402022등록세법인N4
3울산광역시남구311402022등록세법인Y1
4울산광역시남구311402022레저세개인N1
5울산광역시남구311402022레저세법인N3
6울산광역시남구311402022재산세개인N31466
7울산광역시남구311402022재산세개인Y93802
8울산광역시남구311402022재산세법인N1502
9울산광역시남구311402022재산세법인Y1365
시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수
186울산광역시남구311402017등록면허세법인N2516
187울산광역시남구311402017등록면허세법인Y3528
188울산광역시남구311402017지방소득세개인N12047
189울산광역시남구311402017지방소득세개인Y38248
190울산광역시남구311402017지방소득세법인N1915
191울산광역시남구311402017지방소득세법인Y3820
192울산광역시남구311402017지역자원시설세개인N23
193울산광역시남구311402017지역자원시설세개인Y58
194울산광역시남구311402017지역자원시설세법인N27
195울산광역시남구311402017지역자원시설세법인Y47