Overview

Dataset statistics

Number of variables9
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory79.0 B

Variable types

Categorical6
Boolean1
Numeric1
DateTime1

Dataset

Description충청북도 단양군 지방세 납세자 현황 데이터로 시도명, 시군구명, 자치단체코드, 과세년도, 세목명, 납세자 유형, 관내/관외, 납세자 수, 데이터 기준일 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15080204/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 14:34:55.354744
Analysis finished2023-12-12 14:34:55.958417
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
충청북도
33 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청북도 33
100.0%

Length

2023-12-12T23:34:56.025751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:56.141843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 33
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
단양군
33 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단양군 33
100.0%

Length

2023-12-12T23:34:56.261914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:56.391329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단양군 33
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
43800
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row43800
2nd row43800
3rd row43800
4th row43800
5th row43800

Common Values

ValueCountFrequency (%)
43800 33
100.0%

Length

2023-12-12T23:34:56.513295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:56.612477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
43800 33
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2021
33 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 33
100.0%

Length

2023-12-12T23:34:56.708498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:56.810897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 33
100.0%

세목명
Categorical

Distinct10
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
등록세
4 
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
Other values (5)
13 

Length

Max length7
Median length5
Mean length4.030303
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

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

Length

2023-12-12T23:34:56.913090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:57.082052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록세 4
12.1%
재산세 4
12.1%
주민세 4
12.1%
취득세 4
12.1%
자동차세 4
12.1%
등록면허세 4
12.1%
지방소득세 4
12.1%
담배소비세 2
6.1%
지역자원시설세 2
6.1%
지방소비세 1
 
3.0%

납세자유형
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
법인
18 
개인
15 

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 18
54.5%
개인 15
45.5%

Length

2023-12-12T23:34:57.254654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:57.371070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 18
54.5%
개인 15
45.5%

관내_관외
Boolean

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
17 
True
16 
ValueCountFrequency (%)
False 17
51.5%
True 16
48.5%
2023-12-12T23:34:57.448735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2501.4242
Minimum1
Maximum23455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T23:34:57.560148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q1113
median523
Q31680
95-th percentile13003.8
Maximum23455
Range23454
Interquartile range (IQR)1567

Descriptive statistics

Standard deviation5151.1129
Coefficient of variation (CV)2.059272
Kurtosis8.6155372
Mean2501.4242
Median Absolute Deviation (MAD)471
Skewness2.8760222
Sum82547
Variance26533964
MonotonicityNot monotonic
2023-12-12T23:34:57.674991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 2
 
6.1%
117 1
 
3.0%
567 1
 
3.0%
447 1
 
3.0%
52 1
 
3.0%
4 1
 
3.0%
1680 1
 
3.0%
4379 1
 
3.0%
523 1
 
3.0%
685 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
1 2
6.1%
2 1
3.0%
3 1
3.0%
4 1
3.0%
7 1
3.0%
52 1
3.0%
73 1
3.0%
113 1
3.0%
117 1
3.0%
141 1
3.0%
ValueCountFrequency (%)
23455 1
3.0%
13485 1
3.0%
12683 1
3.0%
10396 1
3.0%
4379 1
3.0%
3818 1
3.0%
3180 1
3.0%
1721 1
3.0%
1680 1
3.0%
1174 1
3.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2023-04-26 00:00:00
Maximum2023-04-26 00:00:00
2023-12-12T23:34:57.763460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:34:57.849064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:34:55.571542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:34:57.911812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내_관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.393
관내_관외0.0000.0001.0000.318
납세자수0.0000.3930.3181.000
2023-12-12T23:34:57.998154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자유형세목명관내_관외
납세자유형1.0000.0000.000
세목명0.0001.0000.000
관내_관외0.0000.0001.000
2023-12-12T23:34:58.106134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내_관외
납세자수1.0000.0000.4520.364
세목명0.0001.0000.0000.000
납세자유형0.4520.0001.0000.000
관내_관외0.3640.0000.0001.000

Missing values

2023-12-12T23:34:55.724126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:34:55.893695image/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_관외납세자수기준일자
0충청북도단양군438002021등록세개인N1172023-04-26
1충청북도단양군438002021등록세개인Y1132023-04-26
2충청북도단양군438002021등록세법인N12023-04-26
3충청북도단양군438002021등록세법인Y22023-04-26
4충청북도단양군438002021재산세개인N234552023-04-26
5충청북도단양군438002021재산세개인Y126832023-04-26
6충청북도단양군438002021재산세법인N11742023-04-26
7충청북도단양군438002021재산세법인Y6252023-04-26
8충청북도단양군438002021주민세개인N6942023-04-26
9충청북도단양군438002021주민세개인Y134852023-04-26
시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수기준일자
23충청북도단양군438002021등록면허세개인Y43792023-04-26
24충청북도단양군438002021등록면허세법인N5232023-04-26
25충청북도단양군438002021등록면허세법인Y5672023-04-26
26충청북도단양군438002021지방소득세개인N6852023-04-26
27충청북도단양군438002021지방소득세개인Y38182023-04-26
28충청북도단양군438002021지방소득세법인N2192023-04-26
29충청북도단양군438002021지방소득세법인Y4932023-04-26
30충청북도단양군438002021지방소비세법인Y12023-04-26
31충청북도단양군438002021지역자원시설세법인N72023-04-26
32충청북도단양군438002021지역자원시설세법인Y32023-04-26