Overview

Dataset statistics

Number of variables8
Number of observations190
Missing cells0
Missing cells (%)0.0%
Duplicate rows32
Duplicate rows (%)16.8%
Total size in memory12.6 KiB
Average record size in memory67.7 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description부산광역시 중구 관내 지방세 납세자현황에 관한 데이터로 시도명, 시군구명, 자치단체코드, 과세년도, 세목명, 납세자유형, 관내/관외, 납세자수 등의 항목을 제공합니다.
Author부산광역시 중구
URLhttps://www.data.go.kr/data/15078405/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
Dataset has 32 (16.8%) duplicate rowsDuplicates
납세자수 is highly overall correlated with 납세자유형High correlation
납세자유형 is highly overall correlated with 납세자수High correlation

Reproduction

Analysis started2024-04-29 22:42:50.759818
Analysis finished2024-04-29 22:42:52.598712
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
부산광역시
190 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 190
100.0%

Length

2024-04-30T07:42:52.661822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:42:52.757333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 190
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
중구
190 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 190
100.0%

Length

2024-04-30T07:42:52.854783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:42:52.965024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 190
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
26110
190 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26110
2nd row26110
3rd row26110
4th row26110
5th row26110

Common Values

ValueCountFrequency (%)
26110 190
100.0%

Length

2024-04-30T07:42:53.065092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:42:53.169741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26110 190
100.0%

과세년도
Categorical

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2021
64 
2022
33 
2020
32 
2018
31 
2019
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2021 64
33.7%
2022 33
17.4%
2020 32
16.8%
2018 31
16.3%
2019 30
15.8%

Length

2024-04-30T07:42:53.266087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:42:53.362332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 64
33.7%
2022 33
17.4%
2020 32
16.8%
2018 31
16.3%
2019 30
15.8%

세목명
Categorical

Distinct10
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
재산세
24 
주민세
24 
취득세
24 
자동차세
24 
등록면허세
24 
Other values (5)
70 

Length

Max length7
Median length3
Mean length4.0526316
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 24
12.6%
주민세 24
12.6%
취득세 24
12.6%
자동차세 24
12.6%
등록면허세 24
12.6%
지방소득세 24
12.6%
지역자원시설세 18
9.5%
등록세 13
6.8%
레저세 11
5.8%
지방소비세 4
 
2.1%

Length

2024-04-30T07:42:53.486857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:42:53.612370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 24
12.6%
주민세 24
12.6%
취득세 24
12.6%
자동차세 24
12.6%
등록면허세 24
12.6%
지방소득세 24
12.6%
지역자원시설세 18
9.5%
등록세 13
6.8%
레저세 11
5.8%
지방소비세 4
 
2.1%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
개인
97 
법인
93 

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 (%)
개인 97
51.1%
법인 93
48.9%

Length

2024-04-30T07:42:53.745014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:42:53.858344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 97
51.1%
법인 93
48.9%

관내_관외
Boolean

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size322.0 B
True
98 
False
92 
ValueCountFrequency (%)
True 98
51.6%
False 92
48.4%
2024-04-30T07:42:53.943726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

HIGH CORRELATION 

Distinct132
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2873.6632
Minimum1
Maximum18224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-30T07:42:54.059523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q1112.5
median1129.5
Q33478.75
95-th percentile10993.85
Maximum18224
Range18223
Interquartile range (IQR)3366.25

Descriptive statistics

Standard deviation4012.2798
Coefficient of variation (CV)1.3962248
Kurtosis3.5408119
Mean2873.6632
Median Absolute Deviation (MAD)1125
Skewness1.9307787
Sum545996
Variance16098389
MonotonicityNot monotonic
2024-04-30T07:42:54.221607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 8
 
4.2%
1 8
 
4.2%
12 6
 
3.2%
2 6
 
3.2%
10 4
 
2.1%
129 3
 
1.6%
8 3
 
1.6%
2465 2
 
1.1%
1252 2
 
1.1%
11 2
 
1.1%
Other values (122) 146
76.8%
ValueCountFrequency (%)
1 8
4.2%
2 6
3.2%
3 8
4.2%
6 1
 
0.5%
8 3
 
1.6%
10 4
2.1%
11 2
 
1.1%
12 6
3.2%
13 1
 
0.5%
14 2
 
1.1%
ValueCountFrequency (%)
18224 1
0.5%
17817 1
0.5%
17030 2
1.1%
16970 1
0.5%
16018 1
0.5%
11955 1
0.5%
11264 2
1.1%
11114 1
0.5%
10847 1
0.5%
10785 1
0.5%

Interactions

2024-04-30T07:42:52.136823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:42:54.319863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내_관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.3570.0000.629
납세자유형0.0000.3571.0000.0000.515
관내_관외0.0000.0000.0001.0000.391
납세자수0.0000.6290.5150.3911.000
2024-04-30T07:42:54.428254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도납세자유형세목명관내_관외
과세년도1.0000.0000.0000.000
납세자유형0.0001.0000.2680.000
세목명0.0000.2681.0000.000
관내_관외0.0000.0000.0001.000
2024-04-30T07:42:54.516249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수과세년도세목명납세자유형관내_관외
납세자수1.0000.0000.3460.5070.383
과세년도0.0001.0000.0000.0000.000
세목명0.3460.0001.0000.2680.000
납세자유형0.5070.0000.2681.0000.000
관내_관외0.3830.0000.0000.0001.000

Missing values

2024-04-30T07:42:52.443704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:42:52.550625image/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
0부산광역시중구261102018등록세개인N26
1부산광역시중구261102018등록세개인Y17
2부산광역시중구261102018등록세법인N3
3부산광역시중구261102018레저세법인N3
4부산광역시중구261102018재산세개인N10785
5부산광역시중구261102018재산세개인Y9810
6부산광역시중구261102018재산세법인N428
7부산광역시중구261102018재산세법인Y417
8부산광역시중구261102018주민세개인N8918
9부산광역시중구261102018주민세개인Y17817
시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수
180부산광역시중구261102022레저세법인Y1
181부산광역시중구261102022재산세개인N11955
182부산광역시중구261102022재산세개인Y10206
183부산광역시중구261102022재산세법인N647
184부산광역시중구261102022재산세법인Y527
185부산광역시중구261102022주민세개인N5232
186부산광역시중구261102022주민세개인Y16970
187부산광역시중구261102022주민세법인N945
188부산광역시중구261102022주민세법인Y2463
189부산광역시중구261102022취득세개인N1075

Duplicate rows

Most frequently occurring

시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수# duplicates
0부산광역시중구261102021등록면허세개인N74252
1부산광역시중구261102021등록면허세개인Y36002
2부산광역시중구261102021등록면허세법인N13832
3부산광역시중구261102021등록면허세법인Y25102
4부산광역시중구261102021등록세개인N142
5부산광역시중구261102021등록세개인Y122
6부산광역시중구261102021레저세법인N22
7부산광역시중구261102021레저세법인Y12
8부산광역시중구261102021자동차세개인N15182
9부산광역시중구261102021자동차세개인Y78982