Overview

Dataset statistics

Number of variables11
Number of observations409
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.3 KiB
Average record size in memory93.3 B

Variable types

Categorical5
Numeric4
Boolean1
DateTime1

Dataset

Description신용카드,가상계좌 등 지방세 납부매체*별 납부 현황*가상계좌,신용카드,지로,신용카드포인트등(전자송달 시장 규모 및 편익 분석, 수수료 산정시 기초자료 활용)
Author전라남도 담양군
URLhttps://www.data.go.kr/data/15079467/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일 has constant value ""Constant
납부매체 is highly overall correlated with 납부매체전자고지여부High correlation
납부매체전자고지여부 is highly overall correlated with 납부매체High correlation
납부건수 is highly overall correlated with 납부매체비율High correlation
납부금액 is highly overall correlated with 납부매체비율High correlation
납부매체비율 is highly overall correlated with 납부건수 and 1 other fieldsHigh correlation
납부금액 has unique valuesUnique
납부매체비율 has 9 (2.2%) zerosZeros

Reproduction

Analysis started2023-12-12 02:12:01.485798
Analysis finished2023-12-12 02:12:03.979607
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
전라남도
409 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 409
100.0%

Length

2023-12-12T11:12:04.055786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:12:04.156249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 409
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
담양군
409 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
담양군 409
100.0%

Length

2023-12-12T11:12:04.270912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:12:04.387567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
담양군 409
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
46710
409 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46710
2nd row46710
3rd row46710
4th row46710
5th row46710

Common Values

ValueCountFrequency (%)
46710 409
100.0%

Length

2023-12-12T11:12:04.541552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:12:04.657414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46710 409
100.0%

납부년도
Real number (ℝ)

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.511
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T11:12:04.745458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2019
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6599378
Coefficient of variation (CV)0.00082195034
Kurtosis-1.1717759
Mean2019.511
Median Absolute Deviation (MAD)1
Skewness0.043628739
Sum825980
Variance2.7553934
MonotonicityNot monotonic
2023-12-12T11:12:04.866964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2019 101
24.7%
2021 68
16.6%
2022 67
16.4%
2017 61
14.9%
2018 59
14.4%
2020 53
13.0%
ValueCountFrequency (%)
2017 61
14.9%
2018 59
14.4%
2019 101
24.7%
2020 53
13.0%
2021 68
16.6%
2022 67
16.4%
ValueCountFrequency (%)
2022 67
16.4%
2021 68
16.6%
2020 53
13.0%
2019 101
24.7%
2018 59
14.4%
2017 61
14.9%

세목명
Categorical

Distinct16
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
자동차세
54 
재산세
54 
주민세
53 
등록면허세
51 
취득세
45 
Other values (11)
152 

Length

Max length7
Median length5
Mean length4.0537897
Min length3

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
자동차세 54
13.2%
재산세 54
13.2%
주민세 53
13.0%
등록면허세 51
12.5%
취득세 45
11.0%
지방소득세 45
11.0%
지역자원시설세 36
8.8%
등록세 28
6.8%
교육세 11
 
2.7%
담배소비세 10
 
2.4%
Other values (6) 22
5.4%

Length

2023-12-12T11:12:05.047252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차세 54
13.2%
재산세 54
13.2%
주민세 53
13.0%
등록면허세 51
12.5%
취득세 45
11.0%
지방소득세 45
11.0%
지역자원시설세 36
8.8%
등록세 28
6.8%
교육세 11
 
2.7%
담배소비세 10
 
2.4%
Other values (6) 22
5.4%

납부매체
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
은행창구
66 
가상계좌
59 
인터넷지로
58 
자동화기기
53 
위택스
43 
Other values (5)
130 

Length

Max length5
Median length4
Mean length4.1491443
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자동화기기
2nd row지자체방문
3rd row지자체방문
4th row지자체방문
5th row지자체방문

Common Values

ValueCountFrequency (%)
은행창구 66
16.1%
가상계좌 59
14.4%
인터넷지로 58
14.2%
자동화기기 53
13.0%
위택스 43
10.5%
기타 35
8.6%
자동이체 32
7.8%
지자체방문 31
7.6%
인터넷뱅킹 17
 
4.2%
페이사납부 15
 
3.7%

Length

2023-12-12T11:12:05.207048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:12:05.398497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
은행창구 66
16.1%
가상계좌 59
14.4%
인터넷지로 58
14.2%
자동화기기 53
13.0%
위택스 43
10.5%
기타 35
8.6%
자동이체 32
7.8%
지자체방문 31
7.6%
인터넷뱅킹 17
 
4.2%
페이사납부 15
 
3.7%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size541.0 B
True
224 
False
185 
ValueCountFrequency (%)
True 224
54.8%
False 185
45.2%
2023-12-12T11:12:05.617746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct340
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322.934
Minimum1
Maximum48819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T11:12:05.762412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q187
median691
Q33596
95-th percentile15542.4
Maximum48819
Range48818
Interquartile range (IQR)3509

Descriptive statistics

Standard deviation6189.3846
Coefficient of variation (CV)1.8626264
Kurtosis15.818006
Mean3322.934
Median Absolute Deviation (MAD)682
Skewness3.5162597
Sum1359080
Variance38308482
MonotonicityNot monotonic
2023-12-12T11:12:05.923393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 8
 
2.0%
4 6
 
1.5%
1 6
 
1.5%
11 5
 
1.2%
12 4
 
1.0%
10 4
 
1.0%
61 4
 
1.0%
2 4
 
1.0%
17 3
 
0.7%
15 3
 
0.7%
Other values (330) 362
88.5%
ValueCountFrequency (%)
1 6
1.5%
2 4
1.0%
3 8
2.0%
4 6
1.5%
5 2
 
0.5%
6 2
 
0.5%
7 3
 
0.7%
8 2
 
0.5%
9 2
 
0.5%
10 4
1.0%
ValueCountFrequency (%)
48819 1
0.2%
38794 1
0.2%
36917 1
0.2%
36711 1
0.2%
34791 1
0.2%
26406 1
0.2%
25830 1
0.2%
24756 1
0.2%
23769 1
0.2%
22242 1
0.2%

납부금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct409
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9248381 × 108
Minimum2318
Maximum1.5680554 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T11:12:06.117708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2318
5-th percentile26462.2
Q1590730
median28664410
Q34.4015876 × 108
95-th percentile4.547192 × 109
Maximum1.5680554 × 1010
Range1.5680552 × 1010
Interquartile range (IQR)4.3956803 × 108

Descriptive statistics

Standard deviation1.944306 × 109
Coefficient of variation (CV)2.4534331
Kurtosis16.309279
Mean7.9248381 × 108
Median Absolute Deviation (MAD)28621270
Skewness3.7393112
Sum3.2412588 × 1011
Variance3.7803257 × 1018
MonotonicityNot monotonic
2023-12-12T11:12:06.324853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7040324060 1
 
0.2%
442768 1
 
0.2%
4371067420 1
 
0.2%
3382056050 1
 
0.2%
12360 1
 
0.2%
1381610 1
 
0.2%
165563920 1
 
0.2%
18240 1
 
0.2%
954962 1
 
0.2%
108526 1
 
0.2%
Other values (399) 399
97.6%
ValueCountFrequency (%)
2318 1
0.2%
2478 1
0.2%
2786 1
0.2%
2881 1
0.2%
3064 1
0.2%
4170 1
0.2%
5200 1
0.2%
6730 1
0.2%
7815 1
0.2%
8793 1
0.2%
ValueCountFrequency (%)
15680553860 1
0.2%
11496554310 1
0.2%
9938043110 1
0.2%
9495029560 1
0.2%
9293119780 1
0.2%
9161895700 1
0.2%
8982565880 1
0.2%
8064272530 1
0.2%
7900500750 1
0.2%
7535710560 1
0.2%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct327
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.505208
Minimum0
Maximum88.65
Zeros9
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T11:12:06.532795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q11.05
median4.72
Q316.2
95-th percentile48.786
Maximum88.65
Range88.65
Interquartile range (IQR)15.15

Descriptive statistics

Standard deviation15.625883
Coefficient of variation (CV)1.3581574
Kurtosis6.1228955
Mean11.505208
Median Absolute Deviation (MAD)4.63
Skewness2.2614235
Sum4705.63
Variance244.16822
MonotonicityNot monotonic
2023-12-12T11:12:06.682927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
2.2%
0.09 8
 
2.0%
0.01 7
 
1.7%
0.02 7
 
1.7%
0.08 5
 
1.2%
0.15 4
 
1.0%
0.04 4
 
1.0%
0.11 4
 
1.0%
0.17 3
 
0.7%
1.93 3
 
0.7%
Other values (317) 355
86.8%
ValueCountFrequency (%)
0.0 9
2.2%
0.01 7
1.7%
0.02 7
1.7%
0.03 1
 
0.2%
0.04 4
1.0%
0.05 3
 
0.7%
0.06 2
 
0.5%
0.07 3
 
0.7%
0.08 5
1.2%
0.09 8
2.0%
ValueCountFrequency (%)
88.65 1
0.2%
87.69 1
0.2%
87.52 1
0.2%
83.67 1
0.2%
82.28 1
0.2%
61.48 1
0.2%
58.67 1
0.2%
58.47 1
0.2%
56.94 1
0.2%
55.77 1
0.2%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2023-09-26 00:00:00
Maximum2023-09-26 00:00:00
2023-12-12T11:12:06.815169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:06.949624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T11:12:03.266130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:01.925672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:02.394506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:02.850770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:03.373475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:02.021315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:02.532940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:02.957174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:03.482066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:02.146337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:02.645862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:03.056576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:03.603945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:02.279597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:02.763975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:12:03.170998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:12:07.371212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
납부년도1.0000.0000.3560.0000.0000.1890.086
세목명0.0001.0000.1980.0000.4690.4700.672
납부매체0.3560.1981.0001.0000.3550.2380.468
납부매체전자고지여부0.0000.0001.0001.0000.2300.1530.218
납부건수0.0000.4690.3550.2301.0000.4050.691
납부금액0.1890.4700.2380.1530.4051.0000.402
납부매체비율0.0860.6720.4680.2180.6910.4021.000
2023-12-12T11:12:07.520081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납부매체납부매체전자고지여부
세목명1.0000.0780.000
납부매체0.0781.0000.990
납부매체전자고지여부0.0000.9901.000
2023-12-12T11:12:07.646051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부년도납부건수납부금액납부매체비율세목명납부매체납부매체전자고지여부
납부년도1.0000.018-0.0270.0020.0000.1370.000
납부건수0.0181.0000.4910.6530.1800.1770.171
납부금액-0.0270.4911.0000.6210.2130.1100.151
납부매체비율0.0020.6530.6211.0000.2980.2440.162
세목명0.0000.1800.2130.2981.0000.0780.000
납부매체0.1370.1770.1100.2440.0781.0000.990
납부매체전자고지여부0.0000.1710.1510.1620.0000.9901.000

Missing values

2023-12-12T11:12:03.749965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:12:03.909580image/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

시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율데이터기준일
0전라남도담양군467102018취득세자동화기기N3713704032406012.42023-09-26
1전라남도담양군467102018등록면허세지자체방문N152772204.02023-09-26
2전라남도담양군467102018자동차세지자체방문N2203414841058.672023-09-26
3전라남도담양군467102018재산세지자체방문N64919169017.072023-09-26
4전라남도담양군467102018주민세지자체방문N5574359014.672023-09-26
5전라남도담양군467102018지방소득세지자체방문N427019701.072023-09-26
6전라남도담양군467102018취득세지자체방문N17931849304.532023-09-26
7전라남도담양군467102019담배소비세가상계좌Y152000.02023-09-26
8전라남도담양군467102019등록면허세가상계좌Y46521281125407.312023-09-26
9전라남도담양군467102019등록세가상계좌Y1129913200.022023-09-26
시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율데이터기준일
399전라남도담양군467102022등록면허세인터넷지로Y5654476546012.12023-09-26
400전라남도담양군467102022등록세인터넷지로Y1725500.022023-09-26
401전라남도담양군467102022자동차세인터넷지로Y90316191305019.332023-09-26
402전라남도담양군467102022재산세인터넷지로Y153835096973032.932023-09-26
403전라남도담양군467102022주민세인터넷지로Y5139664454010.982023-09-26
404전라남도담양군467102022지방소득세인터넷지로Y65634007643014.042023-09-26
405전라남도담양군467102022지역자원시설세인터넷지로Y1064938200.212023-09-26
406전라남도담양군467102022취득세인터넷지로Y485115341283010.382023-09-26
407전라남도담양군467102022등록면허세자동이체Y373255972003.382023-09-26
408전라남도담양군467102022자동차세자동이체Y246329237948022.322023-09-26