Overview

Dataset statistics

Number of variables8
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory68.9 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description충청남도 논산시의 지방세 납세자현황에 대한 데이터로 세목별,납세자유형별,관내/관외,납세자수 등에 항목을 제공한다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=351&beforeMenuCd=DOM_000000201001001000&publicdatapk=15079166

Alerts

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

Reproduction

Analysis started2024-01-09 19:52:29.443953
Analysis finished2024-01-09 19:52:30.043660
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
충청남도
70 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 70
100.0%

Length

2024-01-10T04:52:30.096232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:52:30.173206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 70
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
논산시
70 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
논산시 70
100.0%

Length

2024-01-10T04:52:30.247677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:52:30.317966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
논산시 70
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
44230
70 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44230
2nd row44230
3rd row44230
4th row44230
5th row44230

Common Values

ValueCountFrequency (%)
44230 70
100.0%

Length

2024-01-10T04:52:30.392087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:52:30.465202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44230 70
100.0%

과세년도
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
2020
35 
2021
35 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 35
50.0%
2021 35
50.0%

Length

2024-01-10T04:52:30.540286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:52:30.615287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 35
50.0%
2021 35
50.0%

세목명
Categorical

Distinct10
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
등록세
8 
재산세
8 
주민세
8 
취득세
8 
자동차세
8 
Other values (5)
30 

Length

Max length7
Median length5
Mean length4.2
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록세 8
11.4%
재산세 8
11.4%
주민세 8
11.4%
취득세 8
11.4%
자동차세 8
11.4%
등록면허세 8
11.4%
지방소득세 8
11.4%
지역자원시설세 8
11.4%
담배소비세 4
5.7%
지방소비세 2
 
2.9%

Length

2024-01-10T04:52:30.701327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:52:30.802252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록세 8
11.4%
재산세 8
11.4%
주민세 8
11.4%
취득세 8
11.4%
자동차세 8
11.4%
등록면허세 8
11.4%
지방소득세 8
11.4%
지역자원시설세 8
11.4%
담배소비세 4
5.7%
지방소비세 2
 
2.9%

납세자유형
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
법인
36 
개인
34 

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 36
51.4%
개인 34
48.6%

Length

2024-01-10T04:52:30.908434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:52:30.984187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 36
51.4%
개인 34
48.6%

관내 관외
Boolean

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size202.0 B
False
36 
True
34 
ValueCountFrequency (%)
False 36
51.4%
True 34
48.6%
2024-01-10T04:52:31.048082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct62
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7599.3857
Minimum1
Maximum50077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-01-10T04:52:31.132479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q189.75
median1330
Q34564.5
95-th percentile48286.6
Maximum50077
Range50076
Interquartile range (IQR)4474.75

Descriptive statistics

Standard deviation14650.032
Coefficient of variation (CV)1.9277917
Kurtosis3.5560998
Mean7599.3857
Median Absolute Deviation (MAD)1322.5
Skewness2.227225
Sum531957
Variance2.1462345 × 108
MonotonicityNot monotonic
2024-01-10T04:52:31.237817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4
 
5.7%
12 3
 
4.3%
2 2
 
2.9%
7 2
 
2.9%
8 2
 
2.9%
232 1
 
1.4%
654 1
 
1.4%
254 1
 
1.4%
12003 1
 
1.4%
4494 1
 
1.4%
Other values (52) 52
74.3%
ValueCountFrequency (%)
1 4
5.7%
2 2
2.9%
5 1
 
1.4%
7 2
2.9%
8 2
2.9%
12 3
4.3%
29 1
 
1.4%
30 1
 
1.4%
39 1
 
1.4%
52 1
 
1.4%
ValueCountFrequency (%)
50077 1
1.4%
49584 1
1.4%
48897 1
1.4%
48427 1
1.4%
48115 1
1.4%
47989 1
1.4%
39796 1
1.4%
38269 1
1.4%
15766 1
1.4%
15330 1
1.4%

Interactions

2024-01-10T04:52:29.837911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T04:52:31.309977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내 관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.517
납세자유형0.0000.0001.0000.0000.695
관내 관외0.0000.0000.0001.0000.470
납세자수0.0000.5170.6950.4701.000
2024-01-10T04:52:31.391823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도관내 관외세목명납세자유형
과세년도1.0000.0000.0000.000
관내 관외0.0001.0000.0000.000
세목명0.0000.0001.0000.000
납세자유형0.0000.0000.0001.000
2024-01-10T04:52:31.465210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수과세년도세목명납세자유형관내 관외
납세자수1.0000.0000.2910.4950.327
과세년도0.0001.0000.0000.0000.000
세목명0.2910.0001.0000.0000.000
납세자유형0.4950.0000.0001.0000.000
관내 관외0.3270.0000.0000.0001.000

Missing values

2024-01-10T04:52:29.918504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:52:30.008061image/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
0충청남도논산시442302020등록세개인N232
1충청남도논산시442302020등록세개인Y230
2충청남도논산시442302020등록세법인N2
3충청남도논산시442302020등록세법인Y7
4충청남도논산시442302020재산세개인N47989
5충청남도논산시442302020재산세개인Y48897
6충청남도논산시442302020재산세법인N1296
7충청남도논산시442302020재산세법인Y3253
8충청남도논산시442302020주민세개인N4411
9충청남도논산시442302020주민세개인Y48115
시도명시군구명자치단체코드과세년도세목명납세자유형관내 관외납세자수
60충청남도논산시442302021등록면허세법인Y1751
61충청남도논산시442302021지방소득세개인N3144
62충청남도논산시442302021지방소득세개인Y15766
63충청남도논산시442302021지방소득세법인N681
64충청남도논산시442302021지방소득세법인Y1674
65충청남도논산시442302021지방소비세법인Y1
66충청남도논산시442302021지역자원시설세개인N8
67충청남도논산시442302021지역자원시설세개인Y39
68충청남도논산시442302021지역자원시설세법인N1
69충청남도논산시442302021지역자원시설세법인Y12