Overview

Dataset statistics

Number of variables9
Number of observations87
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory76.5 B

Variable types

Categorical7
Boolean1
Numeric1

Dataset

Description제주특별자치도 본청의 연도별(2017~2019), 지방세 세목별, 납세자유형별 납세자수 데이터를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15079860/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 16:46:12.159122
Analysis finished2023-12-12 16:46:13.229871
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
제주특별자치도
87 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 87
100.0%

Length

2023-12-13T01:46:13.315958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:13.456397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 87
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
제주특별자치도
87 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 87
100.0%

Length

2023-12-13T01:46:13.597687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:13.741643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 87
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
50000
87 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50000
2nd row50000
3rd row50000
4th row50000
5th row50000

Common Values

ValueCountFrequency (%)
50000 87
100.0%

Length

2023-12-13T01:46:13.894846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:14.042197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50000 87
100.0%

과세년도
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
2017
29 
2018
29 
2019
29 

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 (%)
2017 29
33.3%
2018 29
33.3%
2019 29
33.3%

Length

2023-12-13T01:46:14.192673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:14.320003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 29
33.3%
2018 29
33.3%
2019 29
33.3%

세목명
Categorical

Distinct8
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size828.0 B
재산세
12 
주민세
12 
취득세
12 
자동차세
12 
담배소비세
12 
Other values (3)
27 

Length

Max length5
Median length4
Mean length4.0344828
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 12
13.8%
주민세 12
13.8%
취득세 12
13.8%
자동차세 12
13.8%
담배소비세 12
13.8%
등록면허세 12
13.8%
지방소득세 12
13.8%
지방소비세 3
 
3.4%

Length

2023-12-13T01:46:14.487054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:14.670239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 12
13.8%
주민세 12
13.8%
취득세 12
13.8%
자동차세 12
13.8%
담배소비세 12
13.8%
등록면허세 12
13.8%
지방소득세 12
13.8%
지방소비세 3
 
3.4%

납세자유형
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
법인
45 
개인
42 

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 45
51.7%
개인 42
48.3%

Length

2023-12-13T01:46:14.875496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:15.028342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 45
51.7%
개인 42
48.3%

관내관외여부
Boolean

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size219.0 B
True
45 
False
42 
ValueCountFrequency (%)
True 45
51.7%
False 42
48.3%
2023-12-13T01:46:15.174770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct67
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean478.71264
Minimum1
Maximum11097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-13T01:46:15.367570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q112
median45
Q3174.5
95-th percentile1382.5
Maximum11097
Range11096
Interquartile range (IQR)162.5

Descriptive statistics

Standard deviation1856.5211
Coefficient of variation (CV)3.8781535
Kurtosis25.843323
Mean478.71264
Median Absolute Deviation (MAD)42
Skewness5.1324936
Sum41648
Variance3446670.7
MonotonicityNot monotonic
2023-12-13T01:46:15.556947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 5
 
5.7%
7 4
 
4.6%
1 4
 
4.6%
2 3
 
3.4%
14 2
 
2.3%
18 2
 
2.3%
82 2
 
2.3%
39 2
 
2.3%
5 2
 
2.3%
13 2
 
2.3%
Other values (57) 59
67.8%
ValueCountFrequency (%)
1 4
4.6%
2 3
3.4%
3 5
5.7%
4 1
 
1.1%
5 2
 
2.3%
6 1
 
1.1%
7 4
4.6%
9 1
 
1.1%
11 1
 
1.1%
13 2
 
2.3%
ValueCountFrequency (%)
11097 1
1.1%
10723 1
1.1%
8356 1
1.1%
1883 1
1.1%
1561 1
1.1%
966 1
1.1%
433 1
1.1%
387 1
1.1%
318 1
1.1%
315 1
1.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
2019-12-31
87 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-31
2nd row2019-12-31
3rd row2019-12-31
4th row2019-12-31
5th row2019-12-31

Common Values

ValueCountFrequency (%)
2019-12-31 87
100.0%

Length

2023-12-13T01:46:15.733227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:15.870675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-31 87
100.0%

Interactions

2023-12-13T01:46:12.792503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:46:15.960955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내관외여부납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.470
납세자유형0.0000.0001.0000.0000.269
관내관외여부0.0000.0000.0001.0000.229
납세자수0.0000.4700.2690.2291.000
2023-12-13T01:46:16.087251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관내관외여부납세자유형과세년도세목명
관내관외여부1.0000.0000.0000.000
납세자유형0.0001.0000.0000.000
과세년도0.0000.0001.0000.000
세목명0.0000.0000.0001.000
2023-12-13T01:46:16.215846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수과세년도세목명납세자유형관내관외여부
납세자수1.0000.0000.2170.1760.149
과세년도0.0001.0000.0000.0000.000
세목명0.2170.0001.0000.0000.000
납세자유형0.1760.0000.0001.0000.000
관내관외여부0.1490.0000.0000.0001.000

Missing values

2023-12-13T01:46:12.936939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:46:13.156493image/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

시도명시군구명자치단체코드과세년도세목명납세자유형관내관외여부납세자수데이터기준일자
0제주특별자치도제주특별자치도500002017재산세개인N142019-12-31
1제주특별자치도제주특별자치도500002017재산세개인Y1352019-12-31
2제주특별자치도제주특별자치도500002017재산세법인N322019-12-31
3제주특별자치도제주특별자치도500002017재산세법인Y682019-12-31
4제주특별자치도제주특별자치도500002017주민세개인N32019-12-31
5제주특별자치도제주특별자치도500002017주민세개인Y2132019-12-31
6제주특별자치도제주특별자치도500002017주민세법인N202019-12-31
7제주특별자치도제주특별자치도500002017주민세법인Y1012019-12-31
8제주특별자치도제주특별자치도500002017취득세개인N92019-12-31
9제주특별자치도제주특별자치도500002017취득세개인Y402019-12-31
시도명시군구명자치단체코드과세년도세목명납세자유형관내관외여부납세자수데이터기준일자
77제주특별자치도제주특별자치도500002019담배소비세법인Y72019-12-31
78제주특별자치도제주특별자치도500002019등록면허세개인N18832019-12-31
79제주특별자치도제주특별자치도500002019등록면허세개인Y107232019-12-31
80제주특별자치도제주특별자치도500002019등록면허세법인N3872019-12-31
81제주특별자치도제주특별자치도500002019등록면허세법인Y1802019-12-31
82제주특별자치도제주특별자치도500002019지방소득세개인N72019-12-31
83제주특별자치도제주특별자치도500002019지방소득세개인Y3182019-12-31
84제주특별자치도제주특별자치도500002019지방소득세법인N562019-12-31
85제주특별자치도제주특별자치도500002019지방소득세법인Y1312019-12-31
86제주특별자치도제주특별자치도500002019지방소비세법인Y12019-12-31