Overview

Dataset statistics

Number of variables8
Number of observations240
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.1 KiB
Average record size in memory68.5 B

Variable types

Categorical5
Numeric3

Dataset

Description체납액 규모별 체납 건수를 납세자 연도별 유형별로 제공하여, 체납정책 수립시 기초자료 활용하고자 함에 목적을 두고 있습니다. 자세한 사항은 첨부파일을 참조하시기 바랍니다.
Author울산광역시 울주군
URLhttps://www.data.go.kr/data/15080223/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant

Reproduction

Analysis started2024-04-13 12:19:47.581998
Analysis finished2024-04-13 12:19:52.110726
Duration4.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
울산광역시
240 

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 240
100.0%

Length

2024-04-13T21:19:52.325871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:19:52.623550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 240
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
울주군
240 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울주군 240
100.0%

Length

2024-04-13T21:19:52.928351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:19:53.209473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울주군 240
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
31710
240 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31710
2nd row31710
3rd row31710
4th row31710
5th row31710

Common Values

ValueCountFrequency (%)
31710 240
100.0%

Length

2024-04-13T21:19:53.519081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:19:53.799850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31710 240
100.0%

과세년도
Real number (ℝ)

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.6042
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-13T21:19:54.066610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2020
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7130997
Coefficient of variation (CV)0.00084823538
Kurtosis-1.2779337
Mean2019.6042
Median Absolute Deviation (MAD)1
Skewness-0.068152912
Sum484705
Variance2.9347106
MonotonicityIncreasing
2024-04-13T21:19:54.418625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 44
18.3%
2021 43
17.9%
2019 40
16.7%
2018 39
16.2%
2020 38
15.8%
2017 36
15.0%
ValueCountFrequency (%)
2017 36
15.0%
2018 39
16.2%
2019 40
16.7%
2020 38
15.8%
2021 43
17.9%
2022 44
18.3%
ValueCountFrequency (%)
2022 44
18.3%
2021 43
17.9%
2020 38
15.8%
2019 40
16.7%
2018 39
16.2%
2017 36
15.0%

세목명
Categorical

Distinct7
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
지방소득세
59 
재산세
56 
취득세
49 
주민세
35 
자동차세
24 
Other values (2)
17 

Length

Max length7
Median length3
Mean length3.8
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지방소득세 59
24.6%
재산세 56
23.3%
취득세 49
20.4%
주민세 35
14.6%
자동차세 24
10.0%
등록면허세 9
 
3.8%
지역자원시설세 8
 
3.3%

Length

2024-04-13T21:19:54.835445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:19:55.199019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방소득세 59
24.6%
재산세 56
23.3%
취득세 49
20.4%
주민세 35
14.6%
자동차세 24
10.0%
등록면허세 9
 
3.8%
지역자원시설세 8
 
3.3%

체납액구간
Categorical

Distinct11
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
10만원 미만
41 
10만원~30만원미만
34 
50만원~1백만원미만
31 
30만원~50만원미만
28 
1백만원~3백만원미만
23 
Other values (6)
83 

Length

Max length11
Median length11
Mean length10.2375
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10만원 미만
2nd row10만원 미만
3rd row10만원~30만원미만
4th row30만원~50만원미만
5th row50만원~1백만원미만

Common Values

ValueCountFrequency (%)
10만원 미만 41
17.1%
10만원~30만원미만 34
14.2%
50만원~1백만원미만 31
12.9%
30만원~50만원미만 28
11.7%
1백만원~3백만원미만 23
9.6%
3백만원~5백만원미만 20
8.3%
5백만원~1천만원미만 18
7.5%
1천만원~3천만원미만 17
7.1%
3천만원~5천만원미만 15
 
6.2%
5천만원~1억원미만 7
 
2.9%

Length

2024-04-13T21:19:55.626153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10만원 41
14.6%
미만 41
14.6%
10만원~30만원미만 34
12.1%
50만원~1백만원미만 31
11.0%
30만원~50만원미만 28
10.0%
1백만원~3백만원미만 23
8.2%
3백만원~5백만원미만 20
7.1%
5백만원~1천만원미만 18
6.4%
1천만원~3천만원미만 17
6.0%
3천만원~5천만원미만 15
 
5.3%
Other values (2) 13
 
4.6%

체납건수
Real number (ℝ)

Distinct116
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean363.875
Minimum1
Maximum6896
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-13T21:19:56.018762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median20
Q3106
95-th percentile2158.85
Maximum6896
Range6895
Interquartile range (IQR)103

Descriptive statistics

Standard deviation1003.8914
Coefficient of variation (CV)2.7588909
Kurtosis19.268668
Mean363.875
Median Absolute Deviation (MAD)19
Skewness4.1321549
Sum87330
Variance1007798
MonotonicityNot monotonic
2024-04-13T21:19:56.469834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 28
 
11.7%
1 27
 
11.2%
3 12
 
5.0%
4 10
 
4.2%
5 7
 
2.9%
9 5
 
2.1%
20 5
 
2.1%
42 4
 
1.7%
11 4
 
1.7%
7 3
 
1.2%
Other values (106) 135
56.2%
ValueCountFrequency (%)
1 27
11.2%
2 28
11.7%
3 12
5.0%
4 10
 
4.2%
5 7
 
2.9%
7 3
 
1.2%
8 3
 
1.2%
9 5
 
2.1%
10 3
 
1.2%
11 4
 
1.7%
ValueCountFrequency (%)
6896 1
0.4%
6654 1
0.4%
5641 1
0.4%
5122 1
0.4%
3816 1
0.4%
3635 1
0.4%
3496 1
0.4%
3427 1
0.4%
2941 1
0.4%
2863 1
0.4%

체납금액
Real number (ℝ)

Distinct239
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76223663
Minimum43300
Maximum4.2749098 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-13T21:19:57.032939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43300
5-th percentile322702
Q16666822.5
median37949665
Q31.1553955 × 108
95-th percentile2.9662314 × 108
Maximum4.2749098 × 108
Range4.2744768 × 108
Interquartile range (IQR)1.0887273 × 108

Descriptive statistics

Standard deviation92469797
Coefficient of variation (CV)1.2131377
Kurtosis2.3107684
Mean76223663
Median Absolute Deviation (MAD)35820820
Skewness1.6395317
Sum1.8293679 × 1010
Variance8.5506633 × 1015
MonotonicityNot monotonic
2024-04-13T21:19:57.467048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
166860 2
 
0.8%
1603840 1
 
0.4%
86061520 1
 
0.4%
100599600 1
 
0.4%
296581450 1
 
0.4%
35838050 1
 
0.4%
3687010 1
 
0.4%
146643040 1
 
0.4%
231271420 1
 
0.4%
359234130 1
 
0.4%
Other values (229) 229
95.4%
ValueCountFrequency (%)
43300 1
0.4%
70320 1
0.4%
131090 1
0.4%
139930 1
0.4%
161320 1
0.4%
166860 2
0.8%
175840 1
0.4%
190780 1
0.4%
226080 1
0.4%
231480 1
0.4%
ValueCountFrequency (%)
427490980 1
0.4%
395649600 1
0.4%
394652030 1
0.4%
370332190 1
0.4%
359234130 1
0.4%
341048210 1
0.4%
335430060 1
0.4%
323451120 1
0.4%
321360110 1
0.4%
320774590 1
0.4%

Interactions

2024-04-13T21:19:50.694931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:19:49.181427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:19:49.933717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:19:50.936346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:19:49.437483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:19:50.186573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:19:51.187030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:19:49.693159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:19:50.449760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T21:19:57.722125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명체납액구간체납건수체납금액
과세년도1.0000.0000.0000.0280.342
세목명0.0001.0000.3230.4040.366
체납액구간0.0000.3231.0000.3080.472
체납건수0.0280.4040.3081.0000.396
체납금액0.3420.3660.4720.3961.000
2024-04-13T21:19:57.975214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명체납액구간
세목명1.0000.164
체납액구간0.1641.000
2024-04-13T21:19:58.218197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도체납건수체납금액세목명체납액구간
과세년도1.0000.0880.2300.0000.000
체납건수0.0881.0000.3830.2250.143
체납금액0.2300.3831.0000.1940.222
세목명0.0000.2250.1941.0000.164
체납액구간0.0000.1430.2220.1641.000

Missing values

2024-04-13T21:19:51.519526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T21:19:51.932491image/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

시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액
0울산광역시울주군317102017등록면허세10만원 미만1441603840
1울산광역시울주군317102017자동차세10만원 미만99342915010
2울산광역시울주군317102017자동차세10만원~30만원미만1083179170210
3울산광역시울주군317102017자동차세30만원~50만원미만5117631140
4울산광역시울주군317102017자동차세50만원~1백만원미만95747360
5울산광역시울주군317102017재산세10만원 미만249143838790
6울산광역시울주군317102017재산세10만원~30만원미만13121322030
7울산광역시울주군317102017재산세1백만원~3백만원미만2339936460
8울산광역시울주군317102017재산세1천만원~3천만원미만10142314230
9울산광역시울주군317102017재산세30만원~50만원미만176244730
시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액
230울산광역시울주군317102022취득세10만원 미만13637510
231울산광역시울주군317102022취득세10만원~30만원미만71195630
232울산광역시울주군317102022취득세1백만원~3백만원미만1219996120
233울산광역시울주군317102022취득세1천만원~3천만원미만345844760
234울산광역시울주군317102022취득세30만원~50만원미만31074180
235울산광역시울주군317102022취득세3백만원~5백만원미만521031220
236울산광역시울주군317102022취득세3천만원~5천만원미만131915550
237울산광역시울주군317102022취득세50만원~1백만원미만53704310
238울산광역시울주군317102022취득세5백만원~1천만원미만324081350
239울산광역시울주군317102022취득세5천만원~1억원미만169395890