Overview

Dataset statistics

Number of variables10
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory86.6 B

Variable types

Categorical6
Boolean1
Numeric3

Dataset

Description신용카드,가상계좌 등 지방세 납부매체별 납부 현황인천광역시 부평구 지방세 납부현황 데이터입니다.(시도명, 시군구명, 자치단체코드, 납부년도, 세목명, 납부매체, 납부매체전자고지여부, 납부건수, 납부금액, 납부매체비율)예) 인천광역시, 부평구, 28237, 2018, 등록세, 위택스, Y, 38, 35616220, 0.02
Author인천광역시 부평구
URLhttps://www.data.go.kr/data/15079432/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
납부년도 has constant value ""Constant
납부매체전자고지여부 is highly overall correlated with 납부매체High correlation
납부매체 is highly overall correlated with 납부매체전자고지여부High correlation
납부건수 is highly overall correlated with 납부금액(천원) and 1 other fieldsHigh correlation
납부금액(천원) is highly overall correlated with 납부건수 and 1 other fieldsHigh correlation
납부매체비율 is highly overall correlated with 납부건수 and 1 other fieldsHigh correlation
납부금액(천원) has unique valuesUnique
납부매체비율 has 9 (10.6%) zerosZeros

Reproduction

Analysis started2024-04-29 22:45:23.578251
Analysis finished2024-04-29 22:45:27.230403
Duration3.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
인천광역시
85 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 85
100.0%

Length

2024-04-30T07:45:27.290252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:45:27.377171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 85
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
부평구
85 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부평구 85
100.0%

Length

2024-04-30T07:45:27.471618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:45:27.565367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부평구 85
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
28237
85 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28237
2nd row28237
3rd row28237
4th row28237
5th row28237

Common Values

ValueCountFrequency (%)
28237 85
100.0%

Length

2024-04-30T07:45:27.654371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:45:27.741249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28237 85
100.0%

납부년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
2021
85 

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 85
100.0%

Length

2024-04-30T07:45:27.853567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:45:27.979855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 85
100.0%

세목명
Categorical

Distinct12
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size812.0 B
재산세
11 
등록면허세
10 
자동차세
10 
주민세
10 
지방소득세
9 
Other values (7)
35 

Length

Max length7
Median length5
Mean length4.0588235
Min length3

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row등록면허세
2nd row자동차세
3rd row재산세
4th row종합토지세
5th row주민세

Common Values

ValueCountFrequency (%)
재산세 11
12.9%
등록면허세 10
11.8%
자동차세 10
11.8%
주민세 10
11.8%
지방소득세 9
10.6%
취득세 8
9.4%
지역자원시설세 7
8.2%
종합토지세 6
7.1%
등록세 6
7.1%
면허세 6
7.1%
Other values (2) 2
 
2.4%

Length

2024-04-30T07:45:28.098557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재산세 11
12.9%
등록면허세 10
11.8%
자동차세 10
11.8%
주민세 10
11.8%
지방소득세 9
10.6%
취득세 8
9.4%
지역자원시설세 7
8.2%
종합토지세 6
7.1%
등록세 6
7.1%
면허세 6
7.1%
Other values (2) 2
 
2.4%

납부매체
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size812.0 B
위택스
11 
가상계좌
10 
은행창구
10 
지자체방문
10 
자동화기기
9 
Other values (6)
35 

Length

Max length5
Median length4
Mean length3.9647059
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
위택스 11
12.9%
가상계좌 10
11.8%
은행창구 10
11.8%
지자체방문 10
11.8%
자동화기기 9
10.6%
ARS 8
9.4%
기타 8
9.4%
인터넷지로 8
9.4%
페이사납부 6
7.1%
자동이체 4
 
4.7%

Length

2024-04-30T07:45:28.248081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
위택스 11
12.9%
가상계좌 10
11.8%
은행창구 10
11.8%
지자체방문 10
11.8%
자동화기기 9
10.6%
ars 8
9.4%
기타 8
9.4%
인터넷지로 8
9.4%
페이사납부 6
7.1%
자동이체 4
 
4.7%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size217.0 B
False
45 
True
40 
ValueCountFrequency (%)
False 45
52.9%
True 40
47.1%
2024-04-30T07:45:28.367033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct75
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15934.965
Minimum1
Maximum237064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-04-30T07:45:28.473799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q149
median2852
Q311469
95-th percentile77585
Maximum237064
Range237063
Interquartile range (IQR)11420

Descriptive statistics

Standard deviation37689.743
Coefficient of variation (CV)2.3652229
Kurtosis17.750286
Mean15934.965
Median Absolute Deviation (MAD)2850
Skewness3.9759275
Sum1354472
Variance1.4205167 × 109
MonotonicityNot monotonic
2024-04-30T07:45:28.628695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5
 
5.9%
1 3
 
3.5%
3 3
 
3.5%
61 2
 
2.4%
11 2
 
2.4%
2852 1
 
1.2%
7 1
 
1.2%
8172 1
 
1.2%
3292 1
 
1.2%
11484 1
 
1.2%
Other values (65) 65
76.5%
ValueCountFrequency (%)
1 3
3.5%
2 5
5.9%
3 3
3.5%
4 1
 
1.2%
5 1
 
1.2%
7 1
 
1.2%
8 1
 
1.2%
11 2
 
2.4%
29 1
 
1.2%
34 1
 
1.2%
ValueCountFrequency (%)
237064 1
1.2%
173837 1
1.2%
126876 1
1.2%
114142 1
1.2%
77844 1
1.2%
76549 1
1.2%
56448 1
1.2%
44286 1
1.2%
40750 1
1.2%
38195 1
1.2%

납부금액(천원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7159336.6
Minimum4
Maximum1.3670744 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-04-30T07:45:28.759198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile48.2
Q13745
median338194
Q33346008
95-th percentile30096354
Maximum1.3670744 × 108
Range1.3670744 × 108
Interquartile range (IQR)3342263

Descriptive statistics

Standard deviation19439767
Coefficient of variation (CV)2.7153028
Kurtosis26.998075
Mean7159336.6
Median Absolute Deviation (MAD)338150
Skewness4.7961752
Sum6.0854361 × 108
Variance3.7790453 × 1014
MonotonicityNot monotonic
2024-04-30T07:45:28.895498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13528 1
 
1.2%
198 1
 
1.2%
37 1
 
1.2%
11941 1
 
1.2%
945732 1
 
1.2%
40285 1
 
1.2%
1693679 1
 
1.2%
313783 1
 
1.2%
92253 1
 
1.2%
11533057 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
4 1
1.2%
9 1
1.2%
30 1
1.2%
37 1
1.2%
44 1
1.2%
65 1
1.2%
116 1
1.2%
198 1
1.2%
255 1
1.2%
300 1
1.2%
ValueCountFrequency (%)
136707440 1
1.2%
91298951 1
1.2%
46226029 1
1.2%
39568845 1
1.2%
30431180 1
1.2%
28757049 1
1.2%
27726127 1
1.2%
27358577 1
1.2%
22046186 1
1.2%
19466721 1
1.2%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct69
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.940706
Minimum0
Maximum100
Zeros9
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-04-30T07:45:29.032651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.07
median5.91
Q318.69
95-th percentile46.944
Maximum100
Range100
Interquartile range (IQR)18.62

Descriptive statistics

Standard deviation18.101378
Coefficient of variation (CV)1.3987937
Kurtosis6.1766802
Mean12.940706
Median Absolute Deviation (MAD)5.9
Skewness2.1985436
Sum1099.96
Variance327.6599
MonotonicityNot monotonic
2024-04-30T07:45:29.352431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
10.6%
0.02 5
 
5.9%
0.01 5
 
5.9%
13.05 1
 
1.2%
13.81 1
 
1.2%
47.44 1
 
1.2%
14.75 1
 
1.2%
5.06 1
 
1.2%
18.77 1
 
1.2%
65.49 1
 
1.2%
Other values (59) 59
69.4%
ValueCountFrequency (%)
0.0 9
10.6%
0.01 5
5.9%
0.02 5
5.9%
0.03 1
 
1.2%
0.05 1
 
1.2%
0.07 1
 
1.2%
0.09 1
 
1.2%
0.1 1
 
1.2%
0.11 1
 
1.2%
0.16 1
 
1.2%
ValueCountFrequency (%)
100.0 1
1.2%
65.49 1
1.2%
59.42 1
1.2%
47.49 1
1.2%
47.44 1
1.2%
44.96 1
1.2%
44.69 1
1.2%
42.77 1
1.2%
41.09 1
1.2%
38.81 1
1.2%

Interactions

2024-04-30T07:45:26.744047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:45:25.688947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:45:26.357343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:45:26.828581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:45:25.918310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:45:26.498204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:45:26.919302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:45:26.233524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:45:26.631896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:45:29.472717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납부매체납부매체전자고지여부납부건수납부금액(천원)납부매체비율
세목명1.0000.0000.0000.0000.0000.460
납부매체0.0001.0001.0000.0000.0000.671
납부매체전자고지여부0.0001.0001.0000.0000.1700.000
납부건수0.0000.0000.0001.0000.7600.669
납부금액(천원)0.0000.0000.1700.7601.0000.483
납부매체비율0.4600.6710.0000.6690.4831.000
2024-04-30T07:45:29.584115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체전자고지여부납부매체세목명
납부매체전자고지여부1.0000.9440.000
납부매체0.9441.0000.000
세목명0.0000.0001.000
2024-04-30T07:45:29.678686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부건수납부금액(천원)납부매체비율세목명납부매체납부매체전자고지여부
납부건수1.0000.8750.8080.0000.0000.000
납부금액(천원)0.8751.0000.7030.0000.0000.116
납부매체비율0.8080.7031.0000.2040.3880.000
세목명0.0000.0000.2041.0000.0000.000
납부매체0.0000.0000.3880.0001.0000.944
납부매체전자고지여부0.0000.1160.0000.0000.9441.000

Missing values

2024-04-30T07:45:27.031862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:45:27.167059image/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

시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액(천원)납부매체비율
0인천광역시부평구282372021등록면허세ARSN297135281.73
1인천광역시부평구282372021자동차세ARSN7348160156942.77
2인천광역시부평구282372021재산세ARSN7723131663144.96
3인천광역시부평구282372021종합토지세ARSN2300.01
4인천광역시부평구282372021주민세ARSN1423297538.28
5인천광역시부평구282372021지방소득세ARSN185820081.08
6인천광역시부평구282372021지역자원시설세ARSN140.01
7인천광역시부평구282372021취득세ARSN2002113541.16
8인천광역시부평구282372021등록면허세가상계좌Y4075012365656.24
9인천광역시부평구282372021등록세가상계좌Y324130.0
시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액(천원)납부매체비율
75인천광역시부평구282372021주민세지자체방문N1269479463.45
76인천광역시부평구282372021지방소득세지자체방문N7564123922.06
77인천광역시부평구282372021지역자원시설세지자체방문N290.01
78인천광역시부평구282372021취득세지자체방문N107383956884529.21
79인천광역시부평구282372021등록면허세페이사납부Y744240362.96
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