Overview

Dataset statistics

Number of variables8
Number of observations94
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory68.4 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description2017~2020년도 충청남도 보령시 지방세 관련 재산세,취득세 등 세목별로 납세 인원 현황 항목에 대한 자료를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=350&beforeMenuCd=DOM_000000201001001000&publicdatapk=15079080

Alerts

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

Reproduction

Analysis started2024-01-09 22:26:49.340477
Analysis finished2024-01-09 22:26:49.990882
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
충청남도
94 

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 94
100.0%

Length

2024-01-10T07:26:50.039093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:26:50.104077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 94
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
보령시
94 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령시 94
100.0%

Length

2024-01-10T07:26:50.173058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:26:50.239507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 94
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
44180
94 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44180
2nd row44180
3rd row44180
4th row44180
5th row44180

Common Values

ValueCountFrequency (%)
44180 94
100.0%

Length

2024-01-10T07:26:50.306381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:26:50.376362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44180 94
100.0%

과세년도
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
2018
32 
2017
31 
2019
31 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2018 32
34.0%
2017 31
33.0%
2019 31
33.0%

Length

2024-01-10T07:26:50.446867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:26:50.516130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 32
34.0%
2017 31
33.0%
2019 31
33.0%

세목명
Categorical

Distinct9
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size884.0 B
등록세
12 
재산세
12 
주민세
12 
취득세
12 
자동차세
12 
Other values (4)
34 

Length

Max length7
Median length3
Mean length3.9148936
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록세 12
12.8%
재산세 12
12.8%
주민세 12
12.8%
취득세 12
12.8%
자동차세 12
12.8%
등록면허세 12
12.8%
지방소득세 12
12.8%
담배소비세 7
7.4%
지역자원시설세 3
 
3.2%

Length

2024-01-10T07:26:50.604463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:26:50.698557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록세 12
12.8%
재산세 12
12.8%
주민세 12
12.8%
취득세 12
12.8%
자동차세 12
12.8%
등록면허세 12
12.8%
지방소득세 12
12.8%
담배소비세 7
7.4%
지역자원시설세 3
 
3.2%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
법인
50 
개인
44 

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 50
53.2%
개인 44
46.8%

Length

2024-01-10T07:26:50.797947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:26:50.866083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 50
53.2%
개인 44
46.8%

관내/관외
Boolean

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size226.0 B
False
47 
True
47 
ValueCountFrequency (%)
False 47
50.0%
True 47
50.0%
2024-01-10T07:26:50.927942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

HIGH CORRELATION 

Distinct86
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7325.5426
Minimum1
Maximum43702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-01-10T07:26:51.012486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q1182.25
median1135
Q36175
95-th percentile39297.85
Maximum43702
Range43701
Interquartile range (IQR)5992.75

Descriptive statistics

Standard deviation12763.039
Coefficient of variation (CV)1.7422653
Kurtosis2.1959522
Mean7325.5426
Median Absolute Deviation (MAD)1131
Skewness1.9083308
Sum688601
Variance1.6289516 × 108
MonotonicityNot monotonic
2024-01-10T07:26:51.121972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 6
 
6.4%
4 3
 
3.2%
1 2
 
2.1%
165 1
 
1.1%
465 1
 
1.1%
2545 1
 
1.1%
1117 1
 
1.1%
39133 1
 
1.1%
40222 1
 
1.1%
11 1
 
1.1%
Other values (76) 76
80.9%
ValueCountFrequency (%)
1 2
 
2.1%
2 6
6.4%
3 1
 
1.1%
4 3
3.2%
7 1
 
1.1%
8 1
 
1.1%
10 1
 
1.1%
11 1
 
1.1%
79 1
 
1.1%
102 1
 
1.1%
ValueCountFrequency (%)
43702 1
1.1%
43276 1
1.1%
42075 1
1.1%
40222 1
1.1%
39604 1
1.1%
39133 1
1.1%
38814 1
1.1%
38703 1
1.1%
37623 1
1.1%
32543 1
1.1%

Interactions

2024-01-10T07:26:49.781132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:26:51.186952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내/관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.684
납세자유형0.0000.0001.0000.0000.651
관내/관외0.0000.0000.0001.0000.391
납세자수0.0000.6840.6510.3911.000
2024-01-10T07:26:51.264274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명관내/관외납세자유형
과세년도1.0000.0000.0000.000
세목명0.0001.0000.0000.000
관내/관외0.0000.0001.0000.000
납세자유형0.0000.0000.0001.000
2024-01-10T07:26:51.337276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수과세년도세목명납세자유형관내/관외
납세자수1.0000.0000.2780.6330.375
과세년도0.0001.0000.0000.0000.000
세목명0.2780.0001.0000.0000.000
납세자유형0.6330.0000.0001.0000.000
관내/관외0.3750.0000.0000.0001.000

Missing values

2024-01-10T07:26:49.862085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:26:49.953521image/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
0충청남도보령시441802017등록세개인N165
1충청남도보령시441802017등록세개인Y154
2충청남도보령시441802017등록세법인N2
3충청남도보령시441802017등록세법인Y4
4충청남도보령시441802017재산세개인N38814
5충청남도보령시441802017재산세개인Y37623
6충청남도보령시441802017재산세법인N1086
7충청남도보령시441802017재산세법인Y2402
8충청남도보령시441802017주민세개인N6356
9충청남도보령시441802017주민세개인Y42075
시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수
84충청남도보령시441802019담배소비세법인N4
85충청남도보령시441802019등록면허세개인N6064
86충청남도보령시441802019등록면허세개인Y22721
87충청남도보령시441802019등록면허세법인N1083
88충청남도보령시441802019등록면허세법인Y1207
89충청남도보령시441802019지방소득세개인N1796
90충청남도보령시441802019지방소득세개인Y12294
91충청남도보령시441802019지방소득세법인N514
92충청남도보령시441802019지방소득세법인Y1188
93충청남도보령시441802019지역자원시설세법인Y2