Overview

Dataset statistics

Number of variables8
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory70.9 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description지방세 납세 현황을 제공하는 데이터로 시도명,시군구명, 과세년도,세목명, 납세자유형, 납세자수 등의 항목을 포함합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15078730/fileData.do

Alerts

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

Reproduction

Analysis started2024-03-14 13:05:04.359422
Analysis finished2024-03-14 13:05:05.683662
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
인천광역시
33 

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 33
100.0%

Length

2024-03-14T22:05:05.893850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:05:06.213107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 33
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
미추홀구
33 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미추홀구 33
100.0%

Length

2024-03-14T22:05:06.659455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:05:06.967622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구 33
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
28177
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28177
2nd row28177
3rd row28177
4th row28177
5th row28177

Common Values

ValueCountFrequency (%)
28177 33
100.0%

Length

2024-03-14T22:05:07.306448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:05:07.637141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28177 33
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
2022
33 

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 33
100.0%

Length

2024-03-14T22:05:07.966027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:05:08.270993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 33
100.0%

세목명
Categorical

Distinct10
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size392.0 B
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
등록면허세
4 
Other values (5)
13 

Length

Max length7
Median length5
Mean length4.1515152
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 4
12.1%
주민세 4
12.1%
취득세 4
12.1%
자동차세 4
12.1%
등록면허세 4
12.1%
지방소득세 4
12.1%
지역자원시설세 4
12.1%
등록세 2
6.1%
레저세 2
6.1%
지방소비세 1
 
3.0%

Length

2024-03-14T22:05:08.639572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:05:09.028570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 4
12.1%
주민세 4
12.1%
취득세 4
12.1%
자동차세 4
12.1%
등록면허세 4
12.1%
지방소득세 4
12.1%
지역자원시설세 4
12.1%
등록세 2
6.1%
레저세 2
6.1%
지방소비세 1
 
3.0%

납세자유형
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
개인
17 
법인
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 17
51.5%
법인 16
48.5%

Length

2024-03-14T22:05:09.450272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:05:09.761693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 17
51.5%
법인 16
48.5%

관내_관외
Boolean

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size161.0 B
False
17 
True
16 
ValueCountFrequency (%)
False 17
51.5%
True 16
48.5%
2024-03-14T22:05:10.040973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21752.091
Minimum1
Maximum154677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:05:10.266574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q125
median2381
Q320316
95-th percentile112927.6
Maximum154677
Range154676
Interquartile range (IQR)20291

Descriptive statistics

Standard deviation40219.635
Coefficient of variation (CV)1.8490009
Kurtosis3.9944704
Mean21752.091
Median Absolute Deviation (MAD)2373
Skewness2.1956511
Sum717819
Variance1.6176191 × 109
MonotonicityNot monotonic
2024-03-14T22:05:10.492917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 2
 
6.1%
12 2
 
6.1%
24 1
 
3.0%
120157 1
 
3.0%
5 1
 
3.0%
8 1
 
3.0%
3183 1
 
3.0%
1347 1
 
3.0%
101216 1
 
3.0%
31471 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
1 2
6.1%
4 1
3.0%
5 1
3.0%
8 1
3.0%
12 2
6.1%
24 1
3.0%
25 1
3.0%
449 1
3.0%
745 1
3.0%
825 1
3.0%
ValueCountFrequency (%)
154677 1
3.0%
120157 1
3.0%
108108 1
3.0%
101216 1
3.0%
53727 1
3.0%
36103 1
3.0%
31471 1
3.0%
29493 1
3.0%
20316 1
3.0%
17004 1
3.0%

Interactions

2024-03-14T22:05:04.639160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:05:10.658094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내_관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.491
관내_관외0.0000.0001.0000.000
납세자수0.0000.4910.0001.000
2024-03-14T22:05:10.817299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관내_관외납세자유형세목명
관내_관외1.0000.0000.000
납세자유형0.0001.0000.000
세목명0.0000.0001.000
2024-03-14T22:05:10.981896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내_관외
납세자수1.0000.0000.4780.000
세목명0.0001.0000.0000.000
납세자유형0.4780.0001.0000.000
관내_관외0.0000.0000.0001.000

Missing values

2024-03-14T22:05:05.044931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:05:05.523623image/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
0인천광역시미추홀구281772022등록세개인N24
1인천광역시미추홀구281772022등록세개인Y25
2인천광역시미추홀구281772022레저세개인N1
3인천광역시미추홀구281772022레저세법인N4
4인천광역시미추홀구281772022재산세개인N53727
5인천광역시미추홀구281772022재산세개인Y108108
6인천광역시미추홀구281772022재산세법인N1979
7인천광역시미추홀구281772022재산세법인Y860
8인천광역시미추홀구281772022주민세개인N17004
9인천광역시미추홀구281772022주민세개인Y154677
시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수
23인천광역시미추홀구281772022등록면허세법인Y2906
24인천광역시미추홀구281772022지방소득세개인N31471
25인천광역시미추홀구281772022지방소득세개인Y101216
26인천광역시미추홀구281772022지방소득세법인N1347
27인천광역시미추홀구281772022지방소득세법인Y3183
28인천광역시미추홀구281772022지방소비세법인Y1
29인천광역시미추홀구281772022지역자원시설세개인N12
30인천광역시미추홀구281772022지역자원시설세개인Y12
31인천광역시미추홀구281772022지역자원시설세법인N8
32인천광역시미추홀구281772022지역자원시설세법인Y5