Overview

Dataset statistics

Number of variables12
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory106.0 B

Variable types

Categorical7
Numeric5

Dataset

Description지방세 미환급 현황 및 연간 누적 현황 제공
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15078695

Alerts

시도명 has constant value ""Constant
과세년도 has constant value ""Constant
자치단체코드 is highly overall correlated with 시군구명High correlation
시군구명 is highly overall correlated with 자치단체코드High correlation
당해미환급건수 is highly overall correlated with 당해미환급금액 and 2 other fieldsHigh correlation
당해미환급금액 is highly overall correlated with 당해미환급건수 and 2 other fieldsHigh correlation
누적미환급건수 is highly overall correlated with 당해미환급건수 and 4 other fieldsHigh correlation
누적미환급금액 is highly overall correlated with 당해미환급건수 and 4 other fieldsHigh correlation
누적미환급금액증감 is highly overall correlated with 미환급유형High correlation
세목명 is highly overall correlated with 누적미환급건수 and 1 other fieldsHigh correlation
미환급유형 is highly overall correlated with 누적미환급금액증감High correlation
납세자유형 is highly overall correlated with 누적미환급건수 and 1 other fieldsHigh correlation
미환급유형 is highly imbalanced (55.4%)Imbalance
당해미환급금액 has unique valuesUnique
누적미환급금액증감 has unique valuesUnique
누적미환급금액증감 has 1 (2.3%) zerosZeros

Reproduction

Analysis started2023-12-11 00:23:28.618301
Analysis finished2023-12-11 00:23:31.609174
Duration2.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
창원시
44 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 44
100.0%

Length

2023-12-11T09:23:31.662279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:23:31.741006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 44
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
진해구
14 
의창구
8 
마산합포구
8 
성산구
7 
마산회원구
7 

Length

Max length5
Median length3
Mean length3.6818182
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의창구
2nd row성산구
3rd row마산합포구
4th row마산회원구
5th row의창구

Common Values

ValueCountFrequency (%)
진해구 14
31.8%
의창구 8
18.2%
마산합포구 8
18.2%
성산구 7
15.9%
마산회원구 7
15.9%

Length

2023-12-11T09:23:31.834698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:23:31.943745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진해구 14
31.8%
의창구 8
18.2%
마산합포구 8
18.2%
성산구 7
15.9%
마산회원구 7
15.9%

자치단체코드
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
48129
14 
48121
8 
48125
8 
48123
7 
48127
7 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row48121
2nd row48123
3rd row48125
4th row48127
5th row48121

Common Values

ValueCountFrequency (%)
48129 14
31.8%
48121 8
18.2%
48125 8
18.2%
48123 7
15.9%
48127 7
15.9%

Length

2023-12-11T09:23:32.048162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:23:32.145376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48129 14
31.8%
48121 8
18.2%
48125 8
18.2%
48123 7
15.9%
48127 7
15.9%

세목명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
자동차세
15 
지방소득세
14 
재산세
7 
등록면허세
4 
주민세
3 

Length

Max length5
Median length4
Mean length4.1590909
Min length3

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
자동차세 15
34.1%
지방소득세 14
31.8%
재산세 7
15.9%
등록면허세 4
 
9.1%
주민세 3
 
6.8%
취득세 1
 
2.3%

Length

2023-12-11T09:23:32.268050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:23:32.400188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차세 15
34.1%
지방소득세 14
31.8%
재산세 7
15.9%
등록면허세 4
 
9.1%
주민세 3
 
6.8%
취득세 1
 
2.3%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
2021
44 

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 44
100.0%

Length

2023-12-11T09:23:32.529758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:23:32.620864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 44
100.0%

미환급유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
신규
35 
주소불명
4 
송달분 미수령
 
2
사망
 
1
폐업 또는 부도
 
1

Length

Max length8
Median length2
Mean length2.5909091
Min length2

Unique

Unique3 ?
Unique (%)6.8%

Sample

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

Common Values

ValueCountFrequency (%)
신규 35
79.5%
주소불명 4
 
9.1%
송달분 미수령 2
 
4.5%
사망 1
 
2.3%
폐업 또는 부도 1
 
2.3%
국외이주 1
 
2.3%

Length

2023-12-11T09:23:32.715197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:23:32.839891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 35
72.9%
주소불명 4
 
8.3%
송달분 2
 
4.2%
미수령 2
 
4.2%
사망 1
 
2.1%
폐업 1
 
2.1%
또는 1
 
2.1%
부도 1
 
2.1%
국외이주 1
 
2.1%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
개인
25 
법인
19 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 25
56.8%
법인 19
43.2%

Length

2023-12-11T09:23:32.967653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:23:33.077050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 25
56.8%
법인 19
43.2%

당해미환급건수
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.795455
Minimum1
Maximum566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:23:33.183000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q395.75
95-th percentile394.85
Maximum566
Range565
Interquartile range (IQR)94.75

Descriptive statistics

Standard deviation148.72803
Coefficient of variation (CV)1.7335188
Kurtosis2.1674183
Mean85.795455
Median Absolute Deviation (MAD)2
Skewness1.7605611
Sum3775
Variance22120.027
MonotonicityNot monotonic
2023-12-11T09:23:33.305858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 14
31.8%
3 6
13.6%
2 3
 
6.8%
310 2
 
4.5%
11 1
 
2.3%
30 1
 
2.3%
19 1
 
2.3%
472 1
 
2.3%
226 1
 
2.3%
164 1
 
2.3%
Other values (13) 13
29.5%
ValueCountFrequency (%)
1 14
31.8%
2 3
 
6.8%
3 6
13.6%
4 1
 
2.3%
5 1
 
2.3%
11 1
 
2.3%
14 1
 
2.3%
19 1
 
2.3%
20 1
 
2.3%
22 1
 
2.3%
ValueCountFrequency (%)
566 1
2.3%
472 1
2.3%
407 1
2.3%
326 1
2.3%
310 2
4.5%
269 1
2.3%
268 1
2.3%
226 1
2.3%
192 1
2.3%
164 1
2.3%

당해미환급금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1064610.7
Minimum20
Maximum12150580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:23:33.713740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile2360
Q113657.5
median59710
Q31075605
95-th percentile5137630
Maximum12150580
Range12150560
Interquartile range (IQR)1061947.5

Descriptive statistics

Standard deviation2248660.4
Coefficient of variation (CV)2.1121904
Kurtosis13.571541
Mean1064610.7
Median Absolute Deviation (MAD)58430
Skewness3.3564496
Sum46842870
Variance5.0564737 × 1012
MonotonicityNot monotonic
2023-12-11T09:23:33.850852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
15000 1
 
2.3%
220000 1
 
2.3%
342840 1
 
2.3%
2060 1
 
2.3%
7530 1
 
2.3%
23330 1
 
2.3%
3212560 1
 
2.3%
3357890 1
 
2.3%
1452740 1
 
2.3%
12150580 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
20 1
2.3%
500 1
2.3%
2060 1
2.3%
4060 1
2.3%
4980 1
2.3%
6140 1
2.3%
6190 1
2.3%
7530 1
2.3%
8870 1
2.3%
8940 1
2.3%
ValueCountFrequency (%)
12150580 1
2.3%
5439140 1
2.3%
5181010 1
2.3%
4891810 1
2.3%
3357890 1
2.3%
3212560 1
2.3%
2415710 1
2.3%
2027190 1
2.3%
1500820 1
2.3%
1452740 1
2.3%

누적미환급건수
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1306.3864
Minimum1
Maximum3631
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:23:33.964592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q1129
median288
Q32978
95-th percentile3631
Maximum3631
Range3630
Interquartile range (IQR)2849

Descriptive statistics

Standard deviation1544.6751
Coefficient of variation (CV)1.1824029
Kurtosis-1.5883391
Mean1306.3864
Median Absolute Deviation (MAD)275
Skewness0.62426047
Sum57481
Variance2386021.1
MonotonicityNot monotonic
2023-12-11T09:23:34.097352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3631 8
18.2%
2978 8
18.2%
288 7
15.9%
129 6
13.6%
343 5
11.4%
6 3
 
6.8%
18 3
 
6.8%
13 2
 
4.5%
5 1
 
2.3%
1 1
 
2.3%
ValueCountFrequency (%)
1 1
 
2.3%
5 1
 
2.3%
6 3
 
6.8%
13 2
 
4.5%
18 3
 
6.8%
129 6
13.6%
288 7
15.9%
343 5
11.4%
2978 8
18.2%
3631 8
18.2%
ValueCountFrequency (%)
3631 8
18.2%
2978 8
18.2%
343 5
11.4%
288 7
15.9%
129 6
13.6%
18 3
 
6.8%
13 2
 
4.5%
6 3
 
6.8%
5 1
 
2.3%
1 1
 
2.3%

누적미환급금액
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17260402
Minimum20
Maximum54673260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:23:34.208110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile110070
Q12020360
median2877540
Q334141970
95-th percentile54673260
Maximum54673260
Range54673240
Interquartile range (IQR)32121610

Descriptive statistics

Standard deviation21704000
Coefficient of variation (CV)1.2574446
Kurtosis-1.0516629
Mean17260402
Median Absolute Deviation (MAD)2620060
Skewness0.83646325
Sum7.594577 × 108
Variance4.7106362 × 1014
MonotonicityNot monotonic
2023-12-11T09:23:34.333840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
34141970 8
18.2%
54673260 8
18.2%
2877540 7
15.9%
2787280 6
13.6%
2020360 5
11.4%
110070 3
 
6.8%
257480 3
 
6.8%
415020 2
 
4.5%
34890 1
 
2.3%
20 1
 
2.3%
ValueCountFrequency (%)
20 1
 
2.3%
34890 1
 
2.3%
110070 3
 
6.8%
257480 3
 
6.8%
415020 2
 
4.5%
2020360 5
11.4%
2787280 6
13.6%
2877540 7
15.9%
34141970 8
18.2%
54673260 8
18.2%
ValueCountFrequency (%)
54673260 8
18.2%
34141970 8
18.2%
2877540 7
15.9%
2787280 6
13.6%
2020360 5
11.4%
415020 2
 
4.5%
257480 3
 
6.8%
110070 3
 
6.8%
34890 1
 
2.3%
20 1
 
2.3%

누적미환급금액증감
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57083.29
Minimum0
Maximum685481.73
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T09:23:34.457672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100.283
Q1588.2
median1658.965
Q312617.938
95-th percentile503002.15
Maximum685481.73
Range685481.73
Interquartile range (IQR)12029.737

Descriptive statistics

Standard deviation156102.34
Coefficient of variation (CV)2.7346416
Kurtosis9.7269137
Mean57083.29
Median Absolute Deviation (MAD)1545.375
Skewness3.2399912
Sum2511664.8
Variance2.436794 × 1010
MonotonicityNot monotonic
2023-12-11T09:23:34.592750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
132.6 1
 
2.3%
818.35 1
 
2.3%
21.05 1
 
2.3%
12399.03 1
 
2.3%
3319.39 1
 
2.3%
1003.64 1
 
2.3%
1601.86 1
 
2.3%
1528.2 1
 
2.3%
3663.46 1
 
2.3%
349.96 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
0.0 1
2.3%
21.05 1
2.3%
94.58 1
2.3%
132.6 1
2.3%
299.96 1
2.3%
349.96 1
2.3%
393.1 1
2.3%
409.35 1
2.3%
444.32 1
2.3%
527.71 1
2.3%
ValueCountFrequency (%)
685481.73 1
2.3%
567638.94 1
2.3%
557356.0 1
2.3%
194996.97 1
2.3%
192683.0 1
2.3%
70775.37 1
2.3%
66661.77 1
2.3%
45295.44 1
2.3%
31323.68 1
2.3%
16093.25 1
2.3%

Interactions

2023-12-11T09:23:30.884832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:29.074278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:29.499379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:29.929065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:30.482405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:30.959644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:29.144032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:29.579080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:30.027335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:30.570991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:31.039207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:29.227066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:29.669394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:30.130385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:30.645895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:31.132729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:29.323596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:29.761011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:30.236547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:30.728267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:31.222073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:29.414367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:29.840042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:30.371232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:30.803103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:23:34.693798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명자치단체코드세목명미환급유형납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감
시군구명1.0001.0000.0000.2400.0000.2560.2130.0000.0000.000
자치단체코드1.0001.0000.0000.2400.0000.2560.2130.0000.0000.000
세목명0.0000.0001.0000.0000.2150.0000.0000.8820.8820.000
미환급유형0.2400.2400.0001.0000.0000.0000.0000.4950.4950.774
납세자유형0.0000.0000.2150.0001.0000.3290.3130.4060.4060.000
당해미환급건수0.2560.2560.0000.0000.3291.0000.8890.7950.7950.000
당해미환급금액0.2130.2130.0000.0000.3130.8891.0000.6560.6560.000
누적미환급건수0.0000.0000.8820.4950.4060.7950.6561.0001.0000.228
누적미환급금액0.0000.0000.8820.4950.4060.7950.6561.0001.0000.228
누적미환급금액증감0.0000.0000.0000.7740.0000.0000.0000.2280.2281.000
2023-12-11T09:23:34.813175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자유형세목명자치단체코드미환급유형시군구명
납세자유형1.0000.1380.0000.0000.000
세목명0.1381.0000.0000.0000.000
자치단체코드0.0000.0001.0000.1541.000
미환급유형0.0000.0000.1541.0000.154
시군구명0.0000.0001.0000.1541.000
2023-12-11T09:23:34.911095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감시군구명자치단체코드세목명미환급유형납세자유형
당해미환급건수1.0000.8340.6210.530-0.3240.1260.1260.0000.0000.294
당해미환급금액0.8341.0000.6040.539-0.4910.0650.0650.0000.0000.366
누적미환급건수0.6210.6041.0000.8400.2030.0000.0000.5690.2200.630
누적미환급금액0.5300.5390.8401.0000.3510.0000.0000.5690.2200.630
누적미환급금액증감-0.324-0.4910.2030.3511.0000.0000.0000.0000.6440.000
시군구명0.1260.0650.0000.0000.0001.0001.0000.0000.1540.000
자치단체코드0.1260.0650.0000.0000.0001.0001.0000.0000.1540.000
세목명0.0000.0000.5690.5690.0000.0000.0001.0000.0000.138
미환급유형0.0000.0000.2200.2200.6440.1540.1540.0001.0000.000
납세자유형0.2940.3660.6300.6300.0000.0000.0000.1380.0001.000

Missing values

2023-12-11T09:23:31.391667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:23:31.555140image/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

시도명시군구명자치단체코드세목명과세년도미환급유형납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감
0창원시의창구48121등록면허세2021신규개인115000534890132.6
1창원시성산구48123등록면허세2021신규법인1275206110070299.96
2창원시마산합포구48125등록면허세2021신규법인1619061100701678.19
3창원시마산회원구48127등록면허세2021신규법인1216106110070409.35
4창원시의창구48121자동차세2021신규개인5665439140363134141970527.71
5창원시성산구48123자동차세2021신규개인3264891810363134141970597.94
6창원시마산합포구48125자동차세2021신규개인19215008203631341419702174.89
7창원시마산회원구48127자동차세2021신규개인4075181010363134141970558.98
8창원시진해구48129자동차세2021사망개인24980363134141970685481.73
9창원시진해구48129자동차세2021송달분 미수령개인15114036313414197066661.77
시도명시군구명자치단체코드세목명과세년도미환급유형납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감
34창원시진해구48129지방소득세2021송달분 미수령개인211874302978546732604504.34
35창원시진해구48129지방소득세2021신규개인47220271902978546732602597.0
36창원시진해구48129지방소득세2021주소불명개인39630297854673260567638.94
37창원시의창구48121지방소득세2021신규법인196828012927872803982.13
38창원시성산구48123지방소득세2021신규법인303437801292787280710.77
39창원시마산합포구48125지방소득세2021신규법인38870129278728031323.68
40창원시마산회원구48127지방소득세2021신규법인15001292787280557356.0
41창원시진해구48129지방소득세2021신규법인120840129278728013274.66
42창원시진해구48129지방소득세2021주소불명법인16140129278728045295.44
43창원시마산회원구48127취득세2021신규법인1201200.0