Overview

Dataset statistics

Number of variables8
Number of observations139
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.2 KiB
Average record size in memory67.9 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description경상북도 구미시의 지방세 세목별 납세 인원에 현황에 대한 데이터로 지방자치단체코드, 과세연도, 세목명, 납세자 유형, 관내/관외, 납세자 수를 제공합니다. ※ 매년 통계연감이 확정된 최근 3년간 자료를 연도별로 나타냄
URLhttps://www.data.go.kr/data/15078340/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 21:04:40.662414
Analysis finished2023-12-12 21:04:41.304203
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
경상북도
139 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 139
100.0%

Length

2023-12-13T06:04:41.387823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:04:41.517450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 139
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
구미시
139 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구미시 139
100.0%

Length

2023-12-13T06:04:41.643751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:04:41.770906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구미시 139
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
47190
139 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row47190
2nd row47190
3rd row47190
4th row47190
5th row47190

Common Values

ValueCountFrequency (%)
47190 139
100.0%

Length

2023-12-13T06:04:41.896334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:04:42.004591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47190 139
100.0%

과세년도
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2020
36 
2021
36 
2019
34 
2018
33 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2020 36
25.9%
2021 36
25.9%
2019 34
24.5%
2018 33
23.7%

Length

2023-12-13T06:04:42.124723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:04:42.245567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 36
25.9%
2021 36
25.9%
2019 34
24.5%
2018 33
23.7%

세목명
Categorical

Distinct10
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
등록세
16 
재산세
16 
주민세
16 
취득세
16 
자동차세
16 
Other values (5)
59 

Length

Max length7
Median length5
Mean length4.1942446
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록세 16
11.5%
재산세 16
11.5%
주민세 16
11.5%
취득세 16
11.5%
자동차세 16
11.5%
등록면허세 16
11.5%
지방소득세 16
11.5%
지역자원시설세 16
11.5%
담배소비세 9
6.5%
지방소비세 2
 
1.4%

Length

2023-12-13T06:04:42.359214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:04:42.500841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록세 16
11.5%
재산세 16
11.5%
주민세 16
11.5%
취득세 16
11.5%
자동차세 16
11.5%
등록면허세 16
11.5%
지방소득세 16
11.5%
지역자원시설세 16
11.5%
담배소비세 9
6.5%
지방소비세 2
 
1.4%

납세자유형
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
법인
72 
개인
67 

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 72
51.8%
개인 67
48.2%

Length

2023-12-13T06:04:42.656072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:04:42.751506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 72
51.8%
개인 67
48.2%
Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size271.0 B
False
70 
True
69 
ValueCountFrequency (%)
False 70
50.4%
True 69
49.6%
2023-12-13T06:04:42.832669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct129
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20232.612
Minimum1
Maximum157594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:04:42.949996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q1104
median2587
Q312272.5
95-th percentile133010.1
Maximum157594
Range157593
Interquartile range (IQR)12168.5

Descriptive statistics

Standard deviation40183.508
Coefficient of variation (CV)1.9860762
Kurtosis4.5979286
Mean20232.612
Median Absolute Deviation (MAD)2561
Skewness2.3836137
Sum2812333
Variance1.6147143 × 109
MonotonicityNot monotonic
2023-12-13T06:04:43.113423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5
 
3.6%
20 2
 
1.4%
2 2
 
1.4%
4 2
 
1.4%
6 2
 
1.4%
52 2
 
1.4%
3 2
 
1.4%
32 1
 
0.7%
15122 1
 
0.7%
1845 1
 
0.7%
Other values (119) 119
85.6%
ValueCountFrequency (%)
1 5
3.6%
2 2
 
1.4%
3 2
 
1.4%
4 2
 
1.4%
6 2
 
1.4%
8 1
 
0.7%
11 1
 
0.7%
12 1
 
0.7%
13 1
 
0.7%
15 1
 
0.7%
ValueCountFrequency (%)
157594 1
0.7%
152320 1
0.7%
151828 1
0.7%
151093 1
0.7%
148898 1
0.7%
142123 1
0.7%
139059 1
0.7%
132338 1
0.7%
130620 1
0.7%
126163 1
0.7%

Interactions

2023-12-13T06:04:40.936963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:04:43.235911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내(Y)관외(N)납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.431
납세자유형0.0000.0001.0000.0000.668
관내(Y)관외(N)0.0000.0000.0001.0000.494
납세자수0.0000.4310.6680.4941.000
2023-12-13T06:04:43.339469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자유형관내(Y)관외(N)세목명과세년도
납세자유형1.0000.0000.0000.000
관내(Y)관외(N)0.0001.0000.0000.000
세목명0.0000.0001.0000.000
과세년도0.0000.0000.0001.000
2023-12-13T06:04:43.420470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수과세년도세목명납세자유형관내(Y)관외(N)
납세자수1.0000.0000.2190.4970.364
과세년도0.0001.0000.0000.0000.000
세목명0.2190.0001.0000.0000.000
납세자유형0.4970.0000.0001.0000.000
관내(Y)관외(N)0.3640.0000.0000.0001.000

Missing values

2023-12-13T06:04:41.088524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:04:41.236791image/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(Y)관외(N)납세자수
0경상북도구미시471902018등록세개인N139
1경상북도구미시471902018등록세개인Y207
2경상북도구미시471902018등록세법인N3
3경상북도구미시471902018등록세법인Y8
4경상북도구미시471902018재산세개인N56202
5경상북도구미시471902018재산세개인Y122205
6경상북도구미시471902018재산세법인N1166
7경상북도구미시471902018재산세법인Y2593
8경상북도구미시471902018주민세개인N21414
9경상북도구미시471902018주민세개인Y152320
시도명시군구명자치단체코드과세년도세목명납세자유형관내(Y)관외(N)납세자수
129경상북도구미시471902021등록면허세법인Y4137
130경상북도구미시471902021지방소득세개인N8705
131경상북도구미시471902021지방소득세개인Y65295
132경상북도구미시471902021지방소득세법인N2025
133경상북도구미시471902021지방소득세법인Y4531
134경상북도구미시471902021지방소비세법인Y1
135경상북도구미시471902021지역자원시설세개인N32
136경상북도구미시471902021지역자원시설세개인Y78
137경상북도구미시471902021지역자원시설세법인N22
138경상북도구미시471902021지역자원시설세법인Y54