Overview

Dataset statistics

Number of variables10
Number of observations193
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.0 KiB
Average record size in memory84.7 B

Variable types

Numeric3
Categorical6
Boolean1

Dataset

Description세목별 납세 인원 현황을 제공-항목 : 지방세 세목(자동차세, 주민세, 취득세, 재산세 등), 납세자 유형(법인, 개인), 납세자수
Author인천광역시 옹진군
URLhttps://www.data.go.kr/data/15079402/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 과세년도High correlation
과세년도 is highly overall correlated with 순번High correlation
납세자수 is highly overall correlated with 납세자유형High correlation
납세자유형 is highly overall correlated with 납세자수High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:04:44.958375
Analysis finished2023-12-12 10:04:46.390880
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97
Minimum1
Maximum193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T19:04:46.460823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.6
Q149
median97
Q3145
95-th percentile183.4
Maximum193
Range192
Interquartile range (IQR)96

Descriptive statistics

Standard deviation55.858452
Coefficient of variation (CV)0.57586033
Kurtosis-1.2
Mean97
Median Absolute Deviation (MAD)48
Skewness0
Sum18721
Variance3120.1667
MonotonicityStrictly increasing
2023-12-12T19:04:46.597201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
146 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
Other values (183) 183
94.8%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
인천광역시
193 

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 193
100.0%

Length

2023-12-12T19:04:46.715830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:04:46.802703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 193
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
옹진군
193 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
옹진군 193
100.0%

Length

2023-12-12T19:04:46.895083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:04:46.996677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옹진군 193
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
28720
193 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28720
2nd row28720
3rd row28720
4th row28720
5th row28720

Common Values

ValueCountFrequency (%)
28720 193
100.0%

Length

2023-12-12T19:04:47.100907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:04:47.194370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28720 193
100.0%

과세년도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.5699
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T19:04:47.287527image/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 deviation1.7249784
Coefficient of variation (CV)0.00085413155
Kurtosis-1.2852777
Mean2019.5699
Median Absolute Deviation (MAD)2
Skewness-0.051858508
Sum389777
Variance2.9755505
MonotonicityIncreasing
2023-12-12T19:04:47.397262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 35
18.1%
2021 33
17.1%
2020 32
16.6%
2017 31
16.1%
2018 31
16.1%
2019 31
16.1%
ValueCountFrequency (%)
2017 31
16.1%
2018 31
16.1%
2019 31
16.1%
2020 32
16.6%
2021 33
17.1%
2022 35
18.1%
ValueCountFrequency (%)
2022 35
18.1%
2021 33
17.1%
2020 32
16.6%
2019 31
16.1%
2018 31
16.1%
2017 31
16.1%

세목명
Categorical

Distinct11
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
재산세
24 
주민세
24 
취득세
24 
자동차세
24 
등록면허세
24 
Other values (6)
73 

Length

Max length7
Median length5
Mean length3.9430052
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 24
12.4%
주민세 24
12.4%
취득세 24
12.4%
자동차세 24
12.4%
등록면허세 24
12.4%
지방소득세 24
12.4%
등록세 22
11.4%
담배소비세 16
8.3%
지역자원시설세 6
 
3.1%
지방소비세 3
 
1.6%

Length

2023-12-12T19:04:47.543817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재산세 24
12.4%
주민세 24
12.4%
취득세 24
12.4%
자동차세 24
12.4%
등록면허세 24
12.4%
지방소득세 24
12.4%
등록세 22
11.4%
담배소비세 16
8.3%
지역자원시설세 6
 
3.1%
지방소비세 3
 
1.6%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
법인
101 
개인
92 

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 101
52.3%
개인 92
47.7%

Length

2023-12-12T19:04:47.665604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:04:47.784826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 101
52.3%
개인 92
47.7%

관내/관외
Boolean

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size325.0 B
False
100 
True
93 
ValueCountFrequency (%)
False 100
51.8%
True 93
48.2%
2023-12-12T19:04:47.897632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

HIGH CORRELATION 

Distinct156
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2034.4404
Minimum1
Maximum20308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T19:04:48.015988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q163
median257
Q32074
95-th percentile8670.2
Maximum20308
Range20307
Interquartile range (IQR)2011

Descriptive statistics

Standard deviation3940.7242
Coefficient of variation (CV)1.9370065
Kurtosis9.759506
Mean2034.4404
Median Absolute Deviation (MAD)255
Skewness2.9861585
Sum392647
Variance15529308
MonotonicityNot monotonic
2023-12-12T19:04:48.218993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 22
 
11.4%
2 4
 
2.1%
3 4
 
2.1%
76 2
 
1.0%
126 2
 
1.0%
63 2
 
1.0%
5740 2
 
1.0%
40 2
 
1.0%
39 2
 
1.0%
91 2
 
1.0%
Other values (146) 149
77.2%
ValueCountFrequency (%)
1 22
11.4%
2 4
 
2.1%
3 4
 
2.1%
10 1
 
0.5%
11 1
 
0.5%
12 1
 
0.5%
13 1
 
0.5%
27 1
 
0.5%
34 1
 
0.5%
37 1
 
0.5%
ValueCountFrequency (%)
20308 1
0.5%
19803 1
0.5%
19603 1
0.5%
19298 1
0.5%
18918 1
0.5%
18431 1
0.5%
9688 1
0.5%
9542 1
0.5%
8853 1
0.5%
8789 1
0.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-08-31
193 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-31
2nd row2023-08-31
3rd row2023-08-31
4th row2023-08-31
5th row2023-08-31

Common Values

ValueCountFrequency (%)
2023-08-31 193
100.0%

Length

2023-12-12T19:04:48.456643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:04:48.564248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 193
100.0%

Interactions

2023-12-12T19:04:45.815434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:45.232923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:45.534115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:45.919649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:45.336473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:45.624741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:46.020572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:45.437682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:45.707870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:04:48.661826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번과세년도세목명납세자유형관내/관외납세자수
순번1.0000.9420.3600.0000.0000.000
과세년도0.9421.0000.0000.0000.0000.000
세목명0.3600.0001.0000.0000.1690.516
납세자유형0.0000.0000.0001.0000.0000.793
관내/관외0.0000.0000.1690.0001.0000.564
납세자수0.0000.0000.5160.7930.5641.000
2023-12-12T19:04:48.784576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명관내/관외납세자유형
세목명1.0000.1570.000
관내/관외0.1571.0000.000
납세자유형0.0000.0001.000
2023-12-12T19:04:48.893925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번과세년도납세자수세목명납세자유형관내/관외
순번1.0000.986-0.0540.1560.0000.000
과세년도0.9861.000-0.0410.0000.0000.000
납세자수-0.054-0.0411.0000.2910.5910.405
세목명0.1560.0000.2911.0000.0000.157
납세자유형0.0000.0000.5910.0001.0000.000
관내/관외0.0000.0000.4050.1570.0001.000

Missing values

2023-12-12T19:04:46.175036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:04:46.337457image/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

순번시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수데이터기준일자
01인천광역시옹진군287202017등록세개인N422023-08-31
12인천광역시옹진군287202017등록세개인Y642023-08-31
23인천광역시옹진군287202017등록세법인N22023-08-31
34인천광역시옹진군287202017등록세법인Y12023-08-31
45인천광역시옹진군287202017재산세개인N184312023-08-31
56인천광역시옹진군287202017재산세개인Y66102023-08-31
67인천광역시옹진군287202017재산세법인N3592023-08-31
78인천광역시옹진군287202017재산세법인Y1782023-08-31
89인천광역시옹진군287202017주민세개인N39412023-08-31
910인천광역시옹진군287202017주민세개인Y79902023-08-31
순번시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수데이터기준일자
183184인천광역시옹진군287202022지방소비세법인N12023-08-31
184185인천광역시옹진군287202022지역자원시설세법인Y12023-08-31
185186인천광역시옹진군287202022등록세개인N782023-08-31
186187인천광역시옹진군287202022등록세개인Y872023-08-31
187188인천광역시옹진군287202022등록세법인N22023-08-31
188189인천광역시옹진군287202022등록세법인Y32023-08-31
189190인천광역시옹진군287202022레저세개인N12023-08-31
190191인천광역시옹진군287202022레저세법인N32023-08-31
191192인천광역시옹진군287202022재산세개인N203082023-08-31
192193인천광역시옹진군287202022재산세개인Y73312023-08-31