Overview

Dataset statistics

Number of variables13
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory113.0 B

Variable types

Categorical8
Numeric5

Dataset

Description울산 동구 지방세 징수 현황 으로써 과세년도와 세목명에 따른 부과금액, 수납급액, 환급금액, 결손금액, 미수납금액, 징수율 등이 제공됩니다.
URLhttps://www.data.go.kr/data/15078800/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
운영기관명 has constant value ""Constant
운영기관전화번호 has constant value ""Constant
부과금액 is highly overall correlated with 수납급액 and 4 other fieldsHigh correlation
수납급액 is highly overall correlated with 부과금액 and 4 other fieldsHigh correlation
환급금액 is highly overall correlated with 부과금액 and 3 other fieldsHigh correlation
미수납 금액 is highly overall correlated with 부과금액 and 4 other fieldsHigh correlation
징수율 is highly overall correlated with 부과금액 and 2 other fieldsHigh correlation
세목명 is highly overall correlated with 부과금액 and 2 other fieldsHigh correlation
결손금액 is highly overall correlated with 환급금액 and 2 other fieldsHigh correlation
부과금액 has 20 (29.9%) zerosZeros
수납급액 has 20 (29.9%) zerosZeros
환급금액 has 22 (32.8%) zerosZeros
미수납 금액 has 22 (32.8%) zerosZeros
징수율 has 20 (29.9%) zerosZeros

Reproduction

Analysis started2023-12-12 01:43:33.232579
Analysis finished2023-12-12 01:43:36.670780
Duration3.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
울산광역시
67 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 67
100.0%

Length

2023-12-12T10:43:36.753706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:43:36.859769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 67
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
동구
67 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동구 67
100.0%

Length

2023-12-12T10:43:36.960966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:43:37.065356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 67
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
31170
67 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31170
2nd row31170
3rd row31170
4th row31170
5th row31170

Common Values

ValueCountFrequency (%)
31170 67
100.0%

Length

2023-12-12T10:43:37.171490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:43:37.273438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31170 67
100.0%

과세년도
Categorical

Distinct5
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2017
14 
2018
14 
2019
13 
2020
13 
2021
13 

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 (%)
2017 14
20.9%
2018 14
20.9%
2019 13
19.4%
2020 13
19.4%
2021 13
19.4%

Length

2023-12-12T10:43:37.378348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:43:37.520267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 14
20.9%
2018 14
20.9%
2019 13
19.4%
2020 13
19.4%
2021 13
19.4%

세목명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size668.0 B
레저세
5 
재산세
5 
주민세
5 
취득세
5 
자동차세
5 
Other values (9)
42 

Length

Max length7
Median length5
Mean length4.4179104
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도축세
2nd row레저세
3rd row재산세
4th row주민세
5th row취득세

Common Values

ValueCountFrequency (%)
레저세 5
 
7.5%
재산세 5
 
7.5%
주민세 5
 
7.5%
취득세 5
 
7.5%
자동차세 5
 
7.5%
과년도수입 5
 
7.5%
담배소비세 5
 
7.5%
도시계획세 5
 
7.5%
등록면허세 5
 
7.5%
지방교육세 5
 
7.5%
Other values (4) 17
25.4%

Length

2023-12-12T10:43:37.973235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
레저세 5
 
7.5%
재산세 5
 
7.5%
주민세 5
 
7.5%
취득세 5
 
7.5%
자동차세 5
 
7.5%
과년도수입 5
 
7.5%
담배소비세 5
 
7.5%
도시계획세 5
 
7.5%
등록면허세 5
 
7.5%
지방교육세 5
 
7.5%
Other values (4) 17
25.4%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct48
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.040374 × 1010
Minimum0
Maximum5.2314634 × 1010
Zeros20
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T10:43:38.138561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.885734 × 109
Q31.4998188 × 1010
95-th percentile3.2471695 × 1010
Maximum5.2314634 × 1010
Range5.2314634 × 1010
Interquartile range (IQR)1.4998188 × 1010

Descriptive statistics

Standard deviation1.1919891 × 1010
Coefficient of variation (CV)1.1457313
Kurtosis1.3042983
Mean1.040374 × 1010
Median Absolute Deviation (MAD)4.885734 × 109
Skewness1.2875749
Sum6.9705059 × 1011
Variance1.4208381 × 1020
MonotonicityNot monotonic
2023-12-12T10:43:38.336725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 20
29.9%
12487670000 1
 
1.5%
4264643000 1
 
1.5%
24421148000 1
 
1.5%
13588335000 1
 
1.5%
26542851000 1
 
1.5%
13192278000 1
 
1.5%
4885734000 1
 
1.5%
2522017000 1
 
1.5%
9649325000 1
 
1.5%
Other values (38) 38
56.7%
ValueCountFrequency (%)
0 20
29.9%
2522017000 1
 
1.5%
2531660000 1
 
1.5%
2546054000 1
 
1.5%
2548106000 1
 
1.5%
2841824000 1
 
1.5%
3018000000 1
 
1.5%
3126000000 1
 
1.5%
3310664000 1
 
1.5%
3675092000 1
 
1.5%
ValueCountFrequency (%)
52314634000 1
1.5%
37924084000 1
1.5%
37457879000 1
1.5%
33278374000 1
1.5%
30589444000 1
1.5%
28225859000 1
1.5%
28025002000 1
1.5%
26542851000 1
1.5%
24961932000 1
1.5%
24520036000 1
1.5%

수납급액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct48
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.86314 × 109
Minimum-1.8449 × 109
Maximum5.2247446 × 1010
Zeros20
Zeros (%)29.9%
Negative1
Negative (%)1.5%
Memory size735.0 B
2023-12-12T10:43:38.514596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.8449 × 109
5-th percentile0
Q10
median4.040364 × 109
Q31.481849 × 1010
95-th percentile3.1561374 × 1010
Maximum5.2247446 × 1010
Range5.4092346 × 1010
Interquartile range (IQR)1.481849 × 1010

Descriptive statistics

Standard deviation1.1905734 × 1010
Coefficient of variation (CV)1.2070937
Kurtosis1.3756811
Mean9.86314 × 109
Median Absolute Deviation (MAD)4.040364 × 109
Skewness1.3105254
Sum6.6083038 × 1011
Variance1.417465 × 1020
MonotonicityNot monotonic
2023-12-12T10:43:38.693673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 20
29.9%
12061520000 1
 
1.5%
4173805000 1
 
1.5%
23860550000 1
 
1.5%
13437655000 1
 
1.5%
26477098000 1
 
1.5%
12228449000 1
 
1.5%
791841000 1
 
1.5%
2510293000 1
 
1.5%
9277476000 1
 
1.5%
Other values (38) 38
56.7%
ValueCountFrequency (%)
-1844900000 1
 
1.5%
0 20
29.9%
626565000 1
 
1.5%
791841000 1
 
1.5%
821503000 1
 
1.5%
1970329000 1
 
1.5%
2510293000 1
 
1.5%
2519908000 1
 
1.5%
2536185000 1
 
1.5%
2830161000 1
 
1.5%
ValueCountFrequency (%)
52247446000 1
1.5%
36968398000 1
1.5%
36690781000 1
1.5%
32265195000 1
1.5%
29919125000 1
1.5%
27539148000 1
1.5%
27441953000 1
1.5%
26477098000 1
1.5%
24937067000 1
1.5%
24071371000 1
1.5%

환급금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct46
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.499436 × 108
Minimum0
Maximum4.402602 × 109
Zeros22
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T10:43:38.922839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7988000
Q376780500
95-th percentile1.7198996 × 109
Maximum4.402602 × 109
Range4.402602 × 109
Interquartile range (IQR)76780500

Descriptive statistics

Standard deviation9.0563815 × 108
Coefficient of variation (CV)2.5879546
Kurtosis11.258623
Mean3.499436 × 108
Median Absolute Deviation (MAD)7988000
Skewness3.3190384
Sum2.3446221 × 1010
Variance8.2018046 × 1017
MonotonicityNot monotonic
2023-12-12T10:43:39.068785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 22
32.8%
1125540000 1
 
1.5%
1533439000 1
 
1.5%
141000 1
 
1.5%
1874000 1
 
1.5%
6277000 1
 
1.5%
87093000 1
 
1.5%
218288000 1
 
1.5%
3285712000 1
 
1.5%
11130000 1
 
1.5%
Other values (36) 36
53.7%
ValueCountFrequency (%)
0 22
32.8%
36000 1
 
1.5%
141000 1
 
1.5%
222000 1
 
1.5%
243000 1
 
1.5%
863000 1
 
1.5%
1874000 1
 
1.5%
3079000 1
 
1.5%
5940000 1
 
1.5%
6277000 1
 
1.5%
ValueCountFrequency (%)
4402602000 1
1.5%
4234348000 1
1.5%
3285712000 1
1.5%
1771832000 1
1.5%
1598724000 1
1.5%
1533439000 1
1.5%
1524143000 1
1.5%
1197794000 1
1.5%
1125540000 1
1.5%
942623000 1
1.5%

결손금액
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size668.0 B
0
24 
18 
322000
 
1
322938000
 
1
9341000
 
1
Other values (22)
22 

Length

Max length10
Median length9
Mean length3.7164179
Min length1

Unique

Unique25 ?
Unique (%)37.3%

Sample

1st row0
2nd row0
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
0 24
35.8%
18
26.9%
322000 1
 
1.5%
322938000 1
 
1.5%
9341000 1
 
1.5%
31000 1
 
1.5%
1456000 1
 
1.5%
1162764000 1
 
1.5%
348000 1
 
1.5%
12215000 1
 
1.5%
Other values (17) 17
25.4%

Length

2023-12-12T10:43:39.250426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 24
49.0%
322000 1
 
2.0%
1817380000 1
 
2.0%
108421000 1
 
2.0%
3173000 1
 
2.0%
28000 1
 
2.0%
1082841000 1
 
2.0%
1030000 1
 
2.0%
14488000 1
 
2.0%
21881000 1
 
2.0%
Other values (16) 16
32.7%

미수납 금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct46
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3597437 × 108
Minimum0
Maximum4.601331 × 109
Zeros22
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T10:43:39.423402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median71663000
Q35.131255 × 108
95-th percentile3.695186 × 109
Maximum4.601331 × 109
Range4.601331 × 109
Interquartile range (IQR)5.131255 × 108

Descriptive statistics

Standard deviation1.0483032 × 109
Coefficient of variation (CV)1.9558831
Kurtosis7.353071
Mean5.3597437 × 108
Median Absolute Deviation (MAD)71663000
Skewness2.8195564
Sum3.5910283 × 1010
Variance1.0989396 × 1018
MonotonicityNot monotonic
2023-12-12T10:43:39.596498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 22
32.8%
658940000 1
 
1.5%
771573000 1
 
1.5%
90838000 1
 
1.5%
540397000 1
 
1.5%
142644000 1
 
1.5%
65753000 1
 
1.5%
963507000 1
 
1.5%
3860195000 1
 
1.5%
11627000 1
 
1.5%
Other values (36) 36
53.7%
ValueCountFrequency (%)
0 22
32.8%
9841000 1
 
1.5%
11627000 1
 
1.5%
11663000 1
 
1.5%
11752000 1
 
1.5%
11924000 1
 
1.5%
17891000 1
 
1.5%
24865000 1
 
1.5%
51849000 1
 
1.5%
58653000 1
 
1.5%
ValueCountFrequency (%)
4601331000 1
1.5%
4118229000 1
1.5%
3982998000 1
1.5%
3860195000 1
1.5%
3310165000 1
1.5%
1253634000 1
1.5%
1184495000 1
1.5%
1116392000 1
1.5%
963507000 1
1.5%
943471000 1
1.5%

징수율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.618209
Minimum-72.4
Maximum100
Zeros20
Zeros (%)29.9%
Negative1
Negative (%)1.5%
Memory size735.0 B
2023-12-12T10:43:39.743258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-72.4
5-th percentile0
Q10
median96
Q398.75
95-th percentile100
Maximum100
Range172.4
Interquartile range (IQR)98.75

Descriptive statistics

Standard deviation48.513176
Coefficient of variation (CV)0.78731882
Kurtosis-1.0476566
Mean61.618209
Median Absolute Deviation (MAD)4
Skewness-0.74294681
Sum4128.42
Variance2353.5282
MonotonicityNot monotonic
2023-12-12T10:43:39.896876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 20
29.9%
100.0 9
13.4%
98.0 9
13.4%
99.0 5
 
7.5%
97.0 4
 
6.0%
91.0 2
 
3.0%
16.0 2
 
3.0%
95.0 2
 
3.0%
99.9 1
 
1.5%
98.5 1
 
1.5%
Other values (12) 12
17.9%
ValueCountFrequency (%)
-72.4 1
 
1.5%
0.0 20
29.9%
10.0 1
 
1.5%
16.0 2
 
3.0%
60.0 1
 
1.5%
91.0 2
 
3.0%
92.0 1
 
1.5%
92.96 1
 
1.5%
93.0 1
 
1.5%
95.0 2
 
3.0%
ValueCountFrequency (%)
100.0 9
13.4%
99.9 1
 
1.5%
99.61 1
 
1.5%
99.04 1
 
1.5%
99.0 5
7.5%
98.5 1
 
1.5%
98.0 9
13.4%
97.9 1
 
1.5%
97.0 4
6.0%
96.96 1
 
1.5%

운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
울산광역시 동구 세무1/2과
67 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산광역시 동구 세무1/2과
2nd row울산광역시 동구 세무1/2과
3rd row울산광역시 동구 세무1/2과
4th row울산광역시 동구 세무1/2과
5th row울산광역시 동구 세무1/2과

Common Values

ValueCountFrequency (%)
울산광역시 동구 세무1/2과 67
100.0%

Length

2023-12-12T10:43:40.043702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:43:40.150008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 67
33.3%
동구 67
33.3%
세무1/2과 67
33.3%

운영기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
052-209-3264/3298
67 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row052-209-3264/3298
2nd row052-209-3264/3298
3rd row052-209-3264/3298
4th row052-209-3264/3298
5th row052-209-3264/3298

Common Values

ValueCountFrequency (%)
052-209-3264/3298 67
100.0%

Length

2023-12-12T10:43:40.271527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:43:40.380595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-209-3264/3298 67
100.0%

Interactions

2023-12-12T10:43:35.717597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:33.666030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:34.126123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:34.589971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:35.205585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:35.859201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:33.745991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:34.209432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:34.696506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:35.314419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:35.962405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:33.833434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:34.294880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:34.832003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:35.417544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:36.091196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:33.924684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:34.380435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:34.952801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:35.512271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:36.202408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:34.017014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:34.479060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:35.088477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:35.610985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:43:40.461216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명부과금액수납급액환급금액결손금액미수납 금액징수율
과세년도1.0000.0000.0000.0000.0000.4810.0000.000
세목명0.0001.0000.8460.8780.6970.6120.8270.762
부과금액0.0000.8461.0000.9950.6700.9220.6180.000
수납급액0.0000.8780.9951.0000.6230.8790.5840.507
환급금액0.0000.6970.6700.6231.0001.0000.9470.747
결손금액0.4810.6120.9220.8791.0001.0000.9840.988
미수납 금액0.0000.8270.6180.5840.9470.9841.0000.818
징수율0.0000.7620.0000.5070.7470.9880.8181.000
2023-12-12T10:43:40.593757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
결손금액세목명과세년도
결손금액1.0000.1860.191
세목명0.1861.0000.000
과세년도0.1910.0001.000
2023-12-12T10:43:40.704028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과금액수납급액환급금액미수납 금액징수율과세년도세목명결손금액
부과금액1.0000.9750.7270.7490.6190.0000.5450.498
수납급액0.9751.0000.6150.6310.6950.0000.6030.469
환급금액0.7270.6151.0000.9140.3190.0000.4020.810
미수납 금액0.7490.6310.9141.0000.2410.0000.5550.731
징수율0.6190.6950.3190.2411.0000.0000.4860.763
과세년도0.0000.0000.0000.0000.0001.0000.0000.191
세목명0.5450.6030.4020.5550.4860.0001.0000.186
결손금액0.4980.4690.8100.7310.7630.1910.1861.000

Missing values

2023-12-12T10:43:36.366151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:43:36.567241image/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

시도명시군구명자치단체코드과세년도세목명부과금액수납급액환급금액결손금액미수납 금액징수율운영기관명운영기관전화번호
0울산광역시동구311702017도축세000000.0울산광역시 동구 세무1/2과052-209-3264/3298
1울산광역시동구311702017레저세000000.0울산광역시 동구 세무1/2과052-209-3264/3298
2울산광역시동구311702017재산세241373970002371567300086300042172400098.0울산광역시 동구 세무1/2과052-209-3264/3298
3울산광역시동구311702017주민세1538325600015163952000594000021930400099.0울산광역시 동구 세무1/2과052-209-3264/3298
4울산광역시동구311702017취득세24961932000249370670003373700024865000100.0울산광역시 동구 세무1/2과052-209-3264/3298
5울산광역시동구311702017자동차세1418030800012926674000196179000125363400091.0울산광역시 동구 세무1/2과052-209-3264/3298
6울산광역시동구311702017과년도수입51274390008215030001524143000322938000398299800016.0울산광역시 동구 세무1/2과052-209-3264/3298
7울산광역시동구311702017담배소비세000000.0울산광역시 동구 세무1/2과052-209-3264/3298
8울산광역시동구311702017도시계획세000000.0울산광역시 동구 세무1/2과052-209-3264/3298
9울산광역시동구311702017등록면허세25316600002519908000784600011752000100.0울산광역시 동구 세무1/2과052-209-3264/3298
시도명시군구명자치단체코드과세년도세목명부과금액수납급액환급금액결손금액미수납 금액징수율운영기관명운영기관전화번호
57울산광역시동구311702021취득세18441524000184236330002427100001789100099.9울산광역시 동구 세무1/2과052-209-3264/3298
58울산광역시동구311702021자동차세1325818700012324762000223637000103000093239500092.96울산광역시 동구 세무1/2과052-209-3264/3298
59울산광역시동구311702021과년도수입2548106000-1844900000440260200010828410003310165000-72.4울산광역시 동구 세무1/2과052-209-3264/3298
60울산광역시동구311702021담배소비세000000.0울산광역시 동구 세무1/2과052-209-3264/3298
61울산광역시동구311702021도시계획세000000.0울산광역시 동구 세무1/2과052-209-3264/3298
62울산광역시동구311702021등록면허세254605400025361850001060800028000984100099.61울산광역시 동구 세무1/2과052-209-3264/3298
63울산광역시동구311702021지방교육세8747532000839292700071838000317300035143200095.95울산광역시 동구 세무1/2과052-209-3264/3298
64울산광역시동구311702021지방소득세3327837400032265195000159872400010842100090475800096.96울산광역시 동구 세무1/2과052-209-3264/3298
65울산광역시동구311702021지방소비세30180000003018000000000100.0울산광역시 동구 세무1/2과052-209-3264/3298
66울산광역시동구311702021지역자원시설세44771970004410161000798800083830005865300098.5울산광역시 동구 세무1/2과052-209-3264/3298