Overview

Dataset statistics

Number of variables10
Number of observations116
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory87.1 B

Variable types

Categorical6
Numeric4

Dataset

Description지방세 체납, 지방세 체납 현황, 체납액 규모별 체납 건수를 납세자 유형별로 제공하고 체납정책 수립시 기초자료 활용할 수 있도록 함
Author강원특별자치도 양양군
URLhttps://www.data.go.kr/data/15079496/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
체납건수 is highly overall correlated with 누적체납건수 High correlation
체납금액 is highly overall correlated with 누적체납금액 and 1 other fieldsHigh correlation
누적체납건수 is highly overall correlated with 체납건수 High correlation
누적체납금액 is highly overall correlated with 체납금액 and 1 other fieldsHigh correlation
체납액구간 is highly overall correlated with 체납금액 and 1 other fieldsHigh correlation
체납금액 has unique valuesUnique
누적체납금액 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:30:59.734712
Analysis finished2024-03-14 18:31:05.475667
Duration5.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
강원도
116 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 116
100.0%

Length

2024-03-15T03:31:05.690954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:31:05.991018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 116
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
양양군
116 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양양군 116
100.0%

Length

2024-03-15T03:31:06.300224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:31:06.601342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양양군 116
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
42830
116 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row42830
2nd row42830
3rd row42830
4th row42830
5th row42830

Common Values

ValueCountFrequency (%)
42830 116
100.0%

Length

2024-03-15T03:31:06.917891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:31:07.214152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
42830 116
100.0%

과세년도
Categorical

Distinct5
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2020
32 
2021
30 
2019
22 
2018
21 
2017
11 

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 (%)
2020 32
27.6%
2021 30
25.9%
2019 22
19.0%
2018 21
18.1%
2017 11
 
9.5%

Length

2024-03-15T03:31:07.526692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:31:07.819047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 32
27.6%
2021 30
25.9%
2019 22
19.0%
2018 21
18.1%
2017 11
 
9.5%

세목명
Categorical

Distinct6
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
재산세
29 
지방소득세
28 
취득세
22 
주민세
15 
자동차세
14 

Length

Max length5
Median length3
Mean length3.7413793
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 29
25.0%
지방소득세 28
24.1%
취득세 22
19.0%
주민세 15
12.9%
자동차세 14
12.1%
등록면허세 8
 
6.9%

Length

2024-03-15T03:31:08.288682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:31:08.587955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 29
25.0%
지방소득세 28
24.1%
취득세 22
19.0%
주민세 15
12.9%
자동차세 14
12.1%
등록면허세 8
 
6.9%

체납액구간
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
10만원 미만
29 
10만원~30만원미만
26 
30만원~50만원미만
17 
50만원~1백만원미만
14 
1백만원~3백만원미만
12 
Other values (6)
18 

Length

Max length11
Median length11
Mean length9.9568966
Min length7

Unique

Unique2 ?
Unique (%)1.7%

Sample

1st row10만원 미만
2nd row10만원 미만
3rd row10만원~30만원미만
4th row10만원 미만
5th row10만원~30만원미만

Common Values

ValueCountFrequency (%)
10만원 미만 29
25.0%
10만원~30만원미만 26
22.4%
30만원~50만원미만 17
14.7%
50만원~1백만원미만 14
12.1%
1백만원~3백만원미만 12
10.3%
1천만원~3천만원미만 6
 
5.2%
5백만원~1천만원미만 4
 
3.4%
3백만원~5백만원미만 4
 
3.4%
1억원~3억원미만 2
 
1.7%
3천만원~5천만원미만 1
 
0.9%

Length

2024-03-15T03:31:08.886833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10만원 29
20.0%
미만 29
20.0%
10만원~30만원미만 26
17.9%
30만원~50만원미만 17
11.7%
50만원~1백만원미만 14
9.7%
1백만원~3백만원미만 12
8.3%
1천만원~3천만원미만 6
 
4.1%
5백만원~1천만원미만 4
 
2.8%
3백만원~5백만원미만 4
 
2.8%
1억원~3억원미만 2
 
1.4%
Other values (2) 2
 
1.4%

체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.17241
Minimum1
Maximum1763
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T03:31:09.329328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q339.5
95-th percentile485
Maximum1763
Range1762
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation285.8321
Coefficient of variation (CV)2.8534013
Kurtosis19.385291
Mean100.17241
Median Absolute Deviation (MAD)4
Skewness4.2662833
Sum11620
Variance81699.987
MonotonicityNot monotonic
2024-03-15T03:31:09.780312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 30
25.9%
2 14
 
12.1%
3 8
 
6.9%
6 5
 
4.3%
5 5
 
4.3%
4 4
 
3.4%
13 3
 
2.6%
41 2
 
1.7%
168 2
 
1.7%
17 2
 
1.7%
Other values (36) 41
35.3%
ValueCountFrequency (%)
1 30
25.9%
2 14
12.1%
3 8
 
6.9%
4 4
 
3.4%
5 5
 
4.3%
6 5
 
4.3%
7 1
 
0.9%
8 2
 
1.7%
9 2
 
1.7%
10 2
 
1.7%
ValueCountFrequency (%)
1763 1
0.9%
1660 1
0.9%
1162 1
0.9%
1097 1
0.9%
926 1
0.9%
563 1
0.9%
459 1
0.9%
346 1
0.9%
332 1
0.9%
299 1
0.9%

체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11981485
Minimum16670
Maximum2.3892888 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T03:31:10.264085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16670
5-th percentile212932.5
Q1881325
median2786385
Q310285900
95-th percentile38906412
Maximum2.3892888 × 108
Range2.3891221 × 108
Interquartile range (IQR)9404575

Descriptive statistics

Standard deviation29068984
Coefficient of variation (CV)2.4261587
Kurtosis37.123403
Mean11981485
Median Absolute Deviation (MAD)2367500
Skewness5.593487
Sum1.3898523 × 109
Variance8.4500586 × 1014
MonotonicityNot monotonic
2024-03-15T03:31:10.650184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
615910 1
 
0.9%
238928880 1
 
0.9%
2394760 1
 
0.9%
10067550 1
 
0.9%
3037550 1
 
0.9%
6344140 1
 
0.9%
55888250 1
 
0.9%
20018780 1
 
0.9%
28751030 1
 
0.9%
37002190 1
 
0.9%
Other values (106) 106
91.4%
ValueCountFrequency (%)
16670 1
0.9%
24590 1
0.9%
99110 1
0.9%
150910 1
0.9%
171250 1
0.9%
176130 1
0.9%
225200 1
0.9%
259560 1
0.9%
344830 1
0.9%
432710 1
0.9%
ValueCountFrequency (%)
238928880 1
0.9%
150765580 1
0.9%
112201980 1
0.9%
55888250 1
0.9%
44841070 1
0.9%
41996390 1
0.9%
37876420 1
0.9%
37191310 1
0.9%
37002190 1
0.9%
34482100 1
0.9%

누적체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.07759
Minimum1
Maximum4126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T03:31:11.106802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median8
Q382.25
95-th percentile1298.5
Maximum4126
Range4125
Interquartile range (IQR)80.25

Descriptive statistics

Standard deviation665.01633
Coefficient of variation (CV)2.8904003
Kurtosis19.434187
Mean230.07759
Median Absolute Deviation (MAD)7
Skewness4.2445728
Sum26689
Variance442246.72
MonotonicityNot monotonic
2024-03-15T03:31:11.545571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 17
 
14.7%
2 13
 
11.2%
4 7
 
6.0%
3 6
 
5.2%
6 6
 
5.2%
5 5
 
4.3%
8 5
 
4.3%
20 2
 
1.7%
16 2
 
1.7%
13 2
 
1.7%
Other values (46) 51
44.0%
ValueCountFrequency (%)
1 17
14.7%
2 13
11.2%
3 6
 
5.2%
4 7
6.0%
5 5
 
4.3%
6 6
 
5.2%
7 2
 
1.7%
8 5
 
4.3%
9 1
 
0.9%
10 2
 
1.7%
ValueCountFrequency (%)
4126 1
0.9%
3913 1
0.9%
2466 1
0.9%
2315 1
0.9%
2284 1
0.9%
1540 1
0.9%
1218 1
0.9%
977 1
0.9%
759 1
0.9%
690 1
0.9%

누적체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17381592
Minimum171050
Maximum2.3892888 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T03:31:11.872841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171050
5-th percentile444240
Q11437012.5
median5475260
Q315053358
95-th percentile81608620
Maximum2.3892888 × 108
Range2.3875783 × 108
Interquartile range (IQR)13616345

Descriptive statistics

Standard deviation32772961
Coefficient of variation (CV)1.8854983
Kurtosis20.24395
Mean17381592
Median Absolute Deviation (MAD)4688290
Skewness3.9667432
Sum2.0162646 × 109
Variance1.074067 × 1015
MonotonicityNot monotonic
2024-03-15T03:31:12.747088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1245040 1
 
0.9%
238928880 1
 
0.9%
4967510 1
 
0.9%
10613630 1
 
0.9%
3037550 1
 
0.9%
10135780 1
 
0.9%
83519230 1
 
0.9%
33691530 1
 
0.9%
47008200 1
 
0.9%
79414920 1
 
0.9%
Other values (106) 106
91.4%
ValueCountFrequency (%)
171050 1
0.9%
187720 1
0.9%
259560 1
0.9%
338990 1
0.9%
343060 1
0.9%
435690 1
0.9%
447090 1
0.9%
527040 1
0.9%
546080 1
0.9%
567290 1
0.9%
ValueCountFrequency (%)
238928880 1
0.9%
150765580 1
0.9%
112201980 1
0.9%
99474140 1
0.9%
85721860 1
0.9%
83519230 1
0.9%
80971750 1
0.9%
79414920 1
0.9%
65563890 1
0.9%
48530550 1
0.9%

Interactions

2024-03-15T03:31:03.330828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:00.160560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:01.047533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:02.144743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:03.597565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:00.487975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:01.205019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:02.420453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:03.860088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:00.641728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:01.482110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:02.679998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:04.112556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:00.893934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:01.727726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:31:03.032745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:31:13.139445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액
과세년도1.0000.0000.0000.0000.0000.0000.110
세목명0.0001.0000.0000.3240.0000.4790.083
체납액구간0.0000.0001.0000.0000.8540.0000.786
체납건수0.0000.3240.0001.0000.1210.9510.727
체납금액0.0000.0000.8540.1211.0000.0000.904
누적체납건수0.0000.4790.0000.9510.0001.0000.560
누적체납금액0.1100.0830.7860.7270.9040.5601.000
2024-03-15T03:31:13.551724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도체납액구간세목명
과세년도1.0000.0000.000
체납액구간0.0001.0000.000
세목명0.0000.0001.000
2024-03-15T03:31:13.857833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납건수체납금액누적체납건수누적체납금액과세년도세목명체납액구간
체납건수1.0000.4090.9570.4990.0000.1970.000
체납금액0.4091.0000.2840.9640.0000.0000.645
누적체납건수0.9570.2841.0000.4260.0000.1890.000
누적체납금액0.4990.9640.4261.0000.0730.0410.533
과세년도0.0000.0000.0000.0731.0000.0000.000
세목명0.1970.0000.1890.0410.0001.0000.000
체납액구간0.0000.6450.0000.5330.0000.0001.000

Missing values

2024-03-15T03:31:04.807436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:31:05.284499image/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

시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액
0강원도양양군428302017등록면허세10만원 미만41615910861245040
1강원도양양군428302017자동차세10만원 미만4117785001214833570
2강원도양양군428302017자동차세10만원~30만원미만213204240538141950
3강원도양양군428302017재산세10만원 미만346540284097714820680
4강원도양양군428302017재산세10만원~30만원미만71175450132029890
5강원도양양군428302017재산세1백만원~3백만원미만1121939011219390
6강원도양양군428302017주민세10만원 미만18325531404606033580
7강원도양양군428302017지방소득세10만원 미만415091025930640
8강원도양양군428302017지방소득세10만원~30만원미만234483061145450
9강원도양양군428302017지방소득세30만원~50만원미만14470901447090
시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액
106강원도양양군428302021지방소득세1백만원~3백만원미만58739440813297310
107강원도양양군428302021지방소득세1억원~3억원미만11122019801112201980
108강원도양양군428302021지방소득세30만원~50만원미만6228089083117060
109강원도양양군428302021지방소득세50만원~1백만원미만85092580149083810
110강원도양양군428302021지방소득세5백만원~1천만원미만210667590210667590
111강원도양양군428302021취득세10만원 미만3991108338990
112강원도양양군428302021취득세10만원~30만원미만11712504849710
113강원도양양군428302021취득세1백만원~3백만원미만1105309011053090
114강원도양양군428302021취득세3백만원~5백만원미만1427853014278530
115강원도양양군428302021취득세50만원~1백만원미만2119727042966400