Overview

Dataset statistics

Number of variables13
Number of observations78
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory112.7 B

Variable types

Categorical7
Numeric5
DateTime1

Dataset

Description강원특별자치도 춘천시 2018~2022년 지방세 미환급 유형별 미환급금 현황 및 연간 누적률에 대한 데이터로, 자치단체명, 세목명, 과세년도, 미환급유형, 납세자유형, 당해미환금건수, 당해미환급금액, 누적미환급건수, 누적미환급금액, 누적미환급금액증감, 데이터기준일에 대해 제공
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15079790/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일 has constant value ""Constant
당해미환급건수 is highly overall correlated with 당해미환급금액 and 1 other fieldsHigh correlation
당해미환급금액 is highly overall correlated with 당해미환급건수 and 1 other fieldsHigh correlation
누적미환급건수 is highly overall correlated with 누적미환급금액 and 1 other fieldsHigh correlation
누적미환급금액 is highly overall correlated with 누적미환급건수 and 1 other fieldsHigh correlation
누적미환급금액증감 is highly overall correlated with 당해미환급건수 and 1 other fieldsHigh correlation
납세자유형 is highly overall correlated with 누적미환급건수 and 1 other fieldsHigh correlation
당해미환급금액 has unique valuesUnique
누적미환급금액증감 has 4 (5.1%) zerosZeros

Reproduction

Analysis started2023-12-16 15:26:57.433780
Analysis finished2023-12-16 15:27:13.184350
Duration15.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
강원특별자치도
78 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 78
100.0%

Length

2023-12-16T15:27:13.574082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:27:14.326527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 78
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
춘천시
78 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
춘천시 78
100.0%

Length

2023-12-16T15:27:15.208184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:27:16.230117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
춘천시 78
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
51110
78 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row51110
2nd row51110
3rd row51110
4th row51110
5th row51110

Common Values

ValueCountFrequency (%)
51110 78
100.0%

Length

2023-12-16T15:27:17.322616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:27:18.115481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
51110 78
100.0%

세목명
Categorical

Distinct6
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
자동차세
30 
지방소득세
26 
재산세
10 
등록면허세
6 
주민세
4 

Length

Max length5
Median length4
Mean length4.2051282
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동차세 30
38.5%
지방소득세 26
33.3%
재산세 10
 
12.8%
등록면허세 6
 
7.7%
주민세 4
 
5.1%
취득세 2
 
2.6%

Length

2023-12-16T15:27:18.905173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:27:19.753948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차세 30
38.5%
지방소득세 26
33.3%
재산세 10
 
12.8%
등록면허세 6
 
7.7%
주민세 4
 
5.1%
취득세 2
 
2.6%

과세년도
Categorical

Distinct5
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
2019
19 
2021
18 
2020
16 
2018
14 
2022
11 

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 (%)
2019 19
24.4%
2021 18
23.1%
2020 16
20.5%
2018 14
17.9%
2022 11
14.1%

Length

2023-12-16T15:27:20.742908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:27:21.485801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 19
24.4%
2021 18
23.1%
2020 16
20.5%
2018 14
17.9%
2022 11
14.1%

미환급유형
Categorical

Distinct7
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
신규
41 
주소불명
11 
송달분 미수령
11 
사망
5 
폐업 또는 부도
5 
Other values (2)
5 

Length

Max length8
Median length2
Mean length3.474359
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row신규
2nd row사망
3rd row신규
4th row주소불명
5th row폐업 또는 부도

Common Values

ValueCountFrequency (%)
신규 41
52.6%
주소불명 11
 
14.1%
송달분 미수령 11
 
14.1%
사망 5
 
6.4%
폐업 또는 부도 5
 
6.4%
국외이주 4
 
5.1%
기타 1
 
1.3%

Length

2023-12-16T15:27:22.342945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:27:23.170214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 41
41.4%
주소불명 11
 
11.1%
송달분 11
 
11.1%
미수령 11
 
11.1%
사망 5
 
5.1%
폐업 5
 
5.1%
또는 5
 
5.1%
부도 5
 
5.1%
국외이주 4
 
4.0%
기타 1
 
1.0%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
개인
50 
법인
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 50
64.1%
법인 28
35.9%

Length

2023-12-16T15:27:23.919976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:27:24.532677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 50
64.1%
법인 28
35.9%

당해미환급건수
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.371795
Minimum1
Maximum378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-16T15:27:25.366678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median3
Q39
95-th percentile182.25
Maximum378
Range377
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation75.697983
Coefficient of variation (CV)2.3383931
Kurtosis8.9267327
Mean32.371795
Median Absolute Deviation (MAD)2
Skewness3.0129518
Sum2525
Variance5730.1846
MonotonicityNot monotonic
2023-12-16T15:27:26.622751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 20
25.6%
2 16
20.5%
7 5
 
6.4%
3 5
 
6.4%
5 5
 
6.4%
6 5
 
6.4%
9 3
 
3.8%
308 1
 
1.3%
18 1
 
1.3%
157 1
 
1.3%
Other values (16) 16
20.5%
ValueCountFrequency (%)
1 20
25.6%
2 16
20.5%
3 5
 
6.4%
4 1
 
1.3%
5 5
 
6.4%
6 5
 
6.4%
7 5
 
6.4%
9 3
 
3.8%
13 1
 
1.3%
17 1
 
1.3%
ValueCountFrequency (%)
378 1
1.3%
308 1
1.3%
288 1
1.3%
263 1
1.3%
168 1
1.3%
157 1
1.3%
152 1
1.3%
135 1
1.3%
121 1
1.3%
104 1
1.3%

당해미환급금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean510961.79
Minimum190
Maximum4491090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-16T15:27:28.028620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190
5-th percentile968
Q114310
median74995
Q3484137.5
95-th percentile2905151.5
Maximum4491090
Range4490900
Interquartile range (IQR)469827.5

Descriptive statistics

Standard deviation1018858.8
Coefficient of variation (CV)1.9940018
Kurtosis6.8003894
Mean510961.79
Median Absolute Deviation (MAD)73120
Skewness2.702031
Sum39855020
Variance1.0380732 × 1012
MonotonicityNot monotonic
2023-12-16T15:27:28.947200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38620 1
 
1.3%
155780 1
 
1.3%
28420 1
 
1.3%
898990 1
 
1.3%
13490 1
 
1.3%
537830 1
 
1.3%
4039210 1
 
1.3%
293140 1
 
1.3%
1210 1
 
1.3%
32420 1
 
1.3%
Other values (68) 68
87.2%
ValueCountFrequency (%)
190 1
1.3%
400 1
1.3%
740 1
1.3%
900 1
1.3%
980 1
1.3%
1210 1
1.3%
1640 1
1.3%
1870 1
1.3%
1880 1
1.3%
2370 1
1.3%
ValueCountFrequency (%)
4491090 1
1.3%
4289500 1
1.3%
4039210 1
1.3%
3619160 1
1.3%
2779150 1
1.3%
2500850 1
1.3%
2280600 1
1.3%
1689670 1
1.3%
1522840 1
1.3%
1397780 1
1.3%

누적미환급건수
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.14103
Minimum1
Maximum768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-16T15:27:29.511814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q117
median69
Q3288
95-th percentile627.75
Maximum768
Range767
Interquartile range (IQR)271

Descriptive statistics

Standard deviation215.0127
Coefficient of variation (CV)1.1075078
Kurtosis0.51477582
Mean194.14103
Median Absolute Deviation (MAD)68
Skewness1.1099269
Sum15143
Variance46230.46
MonotonicityNot monotonic
2023-12-16T15:27:30.265866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
245 9
 
11.5%
288 6
 
7.7%
402 5
 
6.4%
768 4
 
5.1%
47 4
 
5.1%
16 4
 
5.1%
432 4
 
5.1%
3 3
 
3.8%
5 3
 
3.8%
492 3
 
3.8%
Other values (20) 33
42.3%
ValueCountFrequency (%)
1 2
2.6%
3 3
3.8%
4 2
2.6%
5 3
3.8%
6 3
3.8%
10 2
2.6%
13 1
 
1.3%
16 4
5.1%
20 2
2.6%
21 2
2.6%
ValueCountFrequency (%)
768 4
5.1%
603 1
 
1.3%
497 1
 
1.3%
492 3
 
3.8%
432 4
5.1%
402 5
6.4%
288 6
7.7%
265 1
 
1.3%
245 9
11.5%
168 3
 
3.8%

누적미환급금액
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2906271.2
Minimum28100
Maximum9010270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-16T15:27:31.286529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28100
5-th percentile63452.5
Q1468522.5
median1614450
Q35540462.5
95-th percentile8690500
Maximum9010270
Range8982170
Interquartile range (IQR)5071940

Descriptive statistics

Standard deviation2977686.8
Coefficient of variation (CV)1.024573
Kurtosis-0.74147904
Mean2906271.2
Median Absolute Deviation (MAD)1509460
Skewness0.83621975
Sum2.2668915 × 108
Variance8.8666189 × 1012
MonotonicityNot monotonic
2023-12-16T15:27:31.918611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7023610 6
 
7.7%
5937640 5
 
6.4%
3642250 5
 
6.4%
961990 4
 
5.1%
8690500 4
 
5.1%
2172150 4
 
5.1%
4348930 4
 
5.1%
1614450 3
 
3.8%
9010270 3
 
3.8%
884440 2
 
2.6%
Other values (31) 38
48.7%
ValueCountFrequency (%)
28100 1
1.3%
46150 1
1.3%
55550 1
1.3%
56440 1
1.3%
64690 1
1.3%
65380 1
1.3%
65730 2
2.6%
72770 1
1.3%
88860 1
1.3%
121120 1
1.3%
ValueCountFrequency (%)
9010270 3
3.8%
8690500 4
5.1%
8152940 1
 
1.3%
7023610 6
7.7%
6939590 1
 
1.3%
5937640 5
6.4%
4348930 4
5.1%
3642250 5
6.4%
2907360 1
 
1.3%
2546480 1
 
1.3%

누적미환급금액증감
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct74
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38537.385
Minimum0
Maximum718123
Zeros4
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-16T15:27:32.615755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.25
Q1134
median1118.5
Q39449
95-th percentile206456.25
Maximum718123
Range718123
Interquartile range (IQR)9315

Descriptive statistics

Standard deviation126333.63
Coefficient of variation (CV)3.2782096
Kurtosis21.326119
Mean38537.385
Median Absolute Deviation (MAD)1099.5
Skewness4.5199165
Sum3005916
Variance1.5960185 × 1010
MonotonicityNot monotonic
2023-12-16T15:27:33.518462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
5.1%
82 2
 
2.6%
388347 1
 
1.3%
80 1
 
1.3%
11868 1
 
1.3%
1516 1
 
1.3%
115 1
 
1.3%
2865 1
 
1.3%
718123 1
 
1.3%
174 1
 
1.3%
Other values (64) 64
82.1%
ValueCountFrequency (%)
0 4
5.1%
5 1
 
1.3%
8 1
 
1.3%
18 1
 
1.3%
20 1
 
1.3%
25 1
 
1.3%
27 1
 
1.3%
29 1
 
1.3%
43 1
 
1.3%
64 1
 
1.3%
ValueCountFrequency (%)
718123 1
1.3%
716595 1
1.3%
388347 1
1.3%
273228 1
1.3%
194673 1
1.3%
132348 1
1.3%
129899 1
1.3%
90633 1
1.3%
56369 1
1.3%
46945 1
1.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-16T15:27:34.505250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:35.303062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-16T15:27:08.159254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:26:59.261929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:01.918684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:04.078338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:06.210232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:08.570208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:26:59.935876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:02.207442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:04.399397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:06.609168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:08.957637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:00.407131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:02.614353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:04.771106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:07.000964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:09.604219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:00.843688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:03.059215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:05.425629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:07.447934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:10.559038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:01.330031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:03.521286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:05.808133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:27:07.857147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:27:35.804178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명과세년도미환급유형납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감
세목명1.0000.0000.0000.0000.0000.1410.4620.6320.000
과세년도0.0001.0000.0710.0000.0000.1230.5090.6520.103
미환급유형0.0000.0711.0000.2200.0000.0000.0000.2250.576
납세자유형0.0000.0000.2201.0000.0000.0000.7720.9140.204
당해미환급건수0.0000.0000.0000.0001.0000.9000.7950.5170.000
당해미환급금액0.1410.1230.0000.0000.9001.0000.8430.7570.000
누적미환급건수0.4620.5090.0000.7720.7950.8431.0000.9500.000
누적미환급금액0.6320.6520.2250.9140.5170.7570.9501.0000.000
누적미환급금액증감0.0000.1030.5760.2040.0000.0000.0000.0001.000
2023-12-16T15:27:36.431509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미환급유형납세자유형세목명과세년도
미환급유형1.0000.2260.0000.031
납세자유형0.2261.0000.0000.000
세목명0.0000.0001.0000.000
과세년도0.0310.0000.0001.000
2023-12-16T15:27:36.863207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감세목명과세년도미환급유형납세자유형
당해미환급건수1.0000.7350.2900.210-0.5500.0000.0000.0000.000
당해미환급금액0.7351.0000.3130.391-0.7100.0640.0660.0000.000
누적미환급건수0.2900.3131.0000.8950.3320.2720.3350.0000.571
누적미환급금액0.2100.3910.8951.0000.3100.4130.4600.1250.707
누적미환급금액증감-0.550-0.7100.3320.3101.0000.0000.0630.3860.140
세목명0.0000.0640.2720.4130.0001.0000.0000.0000.000
과세년도0.0000.0660.3350.4600.0630.0001.0000.0310.000
미환급유형0.0000.0000.0000.1250.3860.0000.0311.0000.226
납세자유형0.0000.0000.5710.7070.1400.0000.0000.2261.000

Missing values

2023-12-16T15:27:11.356892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:27:12.590225image/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

시도명시군구명자치단체코드세목명과세년도미환급유형납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감데이터기준일
0강원특별자치도춘천시51110등록면허세2018신규개인238620346150202022-12-31
1강원특별자치도춘천시51110자동차세2018사망개인422630245217215094992022-12-31
2강원특별자치도춘천시51110자동차세2018신규개인10411926502452172150822022-12-31
3강원특별자치도춘천시51110자동차세2018주소불명개인1164024521721501323482022-12-31
4강원특별자치도춘천시51110자동차세2018폐업 또는 부도개인2127540245217215016032022-12-31
5강원특별자치도춘천시51110자동차세2018송달분 미수령법인1740479619901298992022-12-31
6강원특별자치도춘천시51110자동차세2018신규법인1767292047961990432022-12-31
7강원특별자치도춘천시51110자동차세2018주소불명법인1270047961990355292022-12-31
8강원특별자치도춘천시51110자동차세2018폐업 또는 부도법인2523047961990182942022-12-31
9강원특별자치도춘천시51110재산세2018신규개인358370234478506672022-12-31
시도명시군구명자치단체코드세목명과세년도미환급유형납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감데이터기준일
68강원특별자치도춘천시51110자동차세2022신규개인288277915060369395901502022-12-31
69강원특별자치도춘천시51110자동차세2022신규법인15722806002652907360272022-12-31
70강원특별자치도춘천시51110재산세2022신규개인1854117046678340252022-12-31
71강원특별자치도춘천시51110재산세2022신규법인2257070527088052022-12-31
72강원특별자치도춘천시51110주민세2022신규개인69360010121120292022-12-31
73강원특별자치도춘천시51110주민세2022신규법인15555015555002022-12-31
74강원특별자치도춘천시51110지방소득세2022신규개인30844910904978152940822022-12-31
75강원특별자치도춘천시51110지방소득세2022송달분 미수령법인14002010933102732282022-12-31
76강원특별자치도춘천시51110지방소득세2022신규법인74893702010933101232022-12-31
77강원특별자치도춘천시51110취득세2022신규개인2456303254648054812022-12-31