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

Description세목별 납세 인원 현황을 제공<br/>인천광역시 부평구 지방세 납세자 현황 데이터입니다.<br/>(시도명, 시군구명, 자치단체코드, 과세년도, 세목명, 납세자유형, 관내/관외, 납세자수)<br/>예) 인천광역시, 부평구, 28237, 2017, 등록세, 개인, N, 78<br/>
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15079434&srcSe=7661IVAWM27C61E190

Alerts

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

Reproduction

Analysis started2024-05-03 19:30:43.780834
Analysis finished2024-05-03 19:30:44.739370
Duration0.96 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
인천광역시
34 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 34
100.0%

Length

2024-05-03T19:30:44.881026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:30:45.101241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 34
100.0%

시군구명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부평구 34
100.0%

Length

2024-05-03T19:30:45.429645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:30:45.826208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부평구 34
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
28237
34 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28237
2nd row28237
3rd row28237
4th row28237
5th row28237

Common Values

ValueCountFrequency (%)
28237 34
100.0%

Length

2024-05-03T19:30:46.143170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:30:46.436065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28237 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

2024-05-03T19:30:46.749704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:30:47.055715image/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
등록세
4 
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
Other values (5)
14 

Length

Max length7
Median length6
Mean length4.1176471
Min length3

Unique

Unique2 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
등록세 4
11.8%
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%
레저세 1
 
2.9%
지방소비세 1
 
2.9%

Length

2024-05-03T19:30:47.364691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:30:47.892146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록세 4
11.8%
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%
레저세 1
 
2.9%
지방소비세 1
 
2.9%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
법인
18 
개인
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row법인
4th row법인
5th row법인

Common Values

ValueCountFrequency (%)
법인 18
52.9%
개인 16
47.1%

Length

2024-05-03T19:30:48.327858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:30:48.637463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 18
52.9%
개인 16
47.1%

관내_관외
Boolean

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
18 
False
16 
ValueCountFrequency (%)
True 18
52.9%
False 16
47.1%
2024-05-03T19:30:48.909089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23687.118
Minimum1
Maximum176987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-03T19:30:49.330283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q136.75
median2223
Q321271.25
95-th percentile137134.35
Maximum176987
Range176986
Interquartile range (IQR)21234.5

Descriptive statistics

Standard deviation45390.017
Coefficient of variation (CV)1.9162322
Kurtosis4.6038539
Mean23687.118
Median Absolute Deviation (MAD)2211
Skewness2.3179211
Sum805362
Variance2.0602536 × 109
MonotonicityNot monotonic
2024-05-03T19:30:49.656672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 3
 
8.8%
30 1
 
2.9%
97454 1
 
2.9%
2806 1
 
2.9%
22033 1
 
2.9%
40836 1
 
2.9%
3037 1
 
2.9%
3679 1
 
2.9%
25314 1
 
2.9%
1640 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
1 3
8.8%
2 1
 
2.9%
10 1
 
2.9%
14 1
 
2.9%
20 1
 
2.9%
30 1
 
2.9%
36 1
 
2.9%
39 1
 
2.9%
466 1
 
2.9%
814 1
 
2.9%
ValueCountFrequency (%)
176987 1
2.9%
137551 1
2.9%
136910 1
2.9%
97454 1
2.9%
60670 1
2.9%
40836 1
2.9%
35922 1
2.9%
25314 1
2.9%
22033 1
2.9%
18986 1
2.9%

Interactions

2024-05-03T19:30:44.075068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T19:30:49.916362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내_관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.554
관내_관외0.0000.0001.0000.349
납세자수0.0000.5540.3491.000
2024-05-03T19:30:50.171279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자유형관내_관외세목명
납세자유형1.0000.0000.000
관내_관외0.0001.0000.000
세목명0.0000.0001.000
2024-05-03T19:30:50.465836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내_관외
납세자수1.0000.0000.5440.337
세목명0.0001.0000.0000.000
납세자유형0.5440.0001.0000.000
관내_관외0.3370.0000.0001.000

Missing values

2024-05-03T19:30:44.409298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T19:30:44.641579image/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
0인천광역시부평구282372021등록세개인N30
1인천광역시부평구282372021등록세개인Y36
2인천광역시부평구282372021등록세법인N1
3인천광역시부평구282372021등록세법인Y2
4인천광역시부평구282372021레저세법인Y1
5인천광역시부평구282372021재산세개인N60670
6인천광역시부평구282372021재산세개인Y136910
7인천광역시부평구282372021재산세법인N1381
8인천광역시부평구282372021재산세법인Y1036
9인천광역시부평구282372021주민세개인N18986
시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수
24인천광역시부평구282372021등록면허세법인Y3679
25인천광역시부평구282372021지방소득세개인N25314
26인천광역시부평구282372021지방소득세개인Y97454
27인천광역시부평구282372021지방소득세법인N1640
28인천광역시부평구282372021지방소득세법인Y4084
29인천광역시부평구282372021지방소비세법인Y1
30인천광역시부평구282372021지역자원시설세개인N39
31인천광역시부평구282372021지역자원시설세개인Y20
32인천광역시부평구282372021지역자원시설세법인N10
33인천광역시부평구282372021지역자원시설세법인Y14