Overview

Dataset statistics

Number of variables11
Number of observations197
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory94.7 B

Variable types

Categorical6
Numeric4
DateTime1

Dataset

Description강원특별자치도 춘천시 2018~2022년 지방세 체납액 규모별 체납 건수를 납세자 유형별로 제공된 데이터로, 과세년도, 세목명, 체납액구간, 체납건수, 체납금액, 누적체납건수, 누적체납금액, 데이터기준일을 포함하고 있음
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15079797/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일 has constant value ""Constant
체납건수 is highly overall correlated with 누적체납건수 High correlation
체납금액 is highly overall correlated with 누적체납금액 High correlation
누적체납건수 is highly overall correlated with 체납건수 High correlation
누적체납금액 is highly overall correlated with 체납금액 High correlation
체납금액 has unique valuesUnique
누적체납금액 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:31:40.765481
Analysis finished2023-12-11 23:31:42.573132
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
강원특별자치도
197 

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 197
100.0%

Length

2023-12-12T08:31:42.621411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:31:42.755080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 197
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
춘천시
197 

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 197
100.0%

Length

2023-12-12T08:31:42.837648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:31:42.913096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
춘천시 197
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
51110
197 

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 197
100.0%

Length

2023-12-12T08:31:43.028019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:31:43.131459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
51110 197
100.0%

과세년도
Categorical

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2020
45 
2022
44 
2021
41 
2019
36 
2018
31 

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 (%)
2020 45
22.8%
2022 44
22.3%
2021 41
20.8%
2019 36
18.3%
2018 31
15.7%

Length

2023-12-12T08:31:43.215025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:31:43.316507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 45
22.8%
2022 44
22.3%
2021 41
20.8%
2019 36
18.3%
2018 31
15.7%

세목명
Categorical

Distinct7
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
지방소득세
49 
취득세
44 
재산세
41 
주민세
26 
자동차세
20 
Other values (2)
17 

Length

Max length7
Median length3
Mean length3.8730964
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지방소득세 49
24.9%
취득세 44
22.3%
재산세 41
20.8%
주민세 26
13.2%
자동차세 20
10.2%
지역자원시설세 10
 
5.1%
등록면허세 7
 
3.6%

Length

2023-12-12T08:31:43.427270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:31:43.556454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방소득세 49
24.9%
취득세 44
22.3%
재산세 41
20.8%
주민세 26
13.2%
자동차세 20
10.2%
지역자원시설세 10
 
5.1%
등록면허세 7
 
3.6%

체납액구간
Categorical

Distinct12
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
10만원 미만
35 
10만원~30만원미만
29 
30만원~50만원미만
27 
50만원~1백만원미만
24 
1백만원~3백만원미만
18 
Other values (7)
64 

Length

Max length11
Median length11
Mean length10.218274
Min length7

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
10만원 미만 35
17.8%
10만원~30만원미만 29
14.7%
30만원~50만원미만 27
13.7%
50만원~1백만원미만 24
12.2%
1백만원~3백만원미만 18
9.1%
3백만원~5백만원미만 17
8.6%
5백만원~1천만원미만 15
7.6%
1천만원~3천만원미만 13
 
6.6%
3천만원~5천만원미만 8
 
4.1%
5천만원~1억원미만 7
 
3.6%
Other values (2) 4
 
2.0%

Length

2023-12-12T08:31:43.690394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10만원 35
15.1%
미만 35
15.1%
10만원~30만원미만 29
12.5%
30만원~50만원미만 27
11.6%
50만원~1백만원미만 24
10.3%
1백만원~3백만원미만 18
7.8%
3백만원~5백만원미만 17
7.3%
5백만원~1천만원미만 15
6.5%
1천만원~3천만원미만 13
 
5.6%
3천만원~5천만원미만 8
 
3.4%
Other values (3) 11
 
4.7%

체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct97
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean521.54822
Minimum1
Maximum9580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T08:31:43.815531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median20
Q3116
95-th percentile3042.2
Maximum9580
Range9579
Interquartile range (IQR)112

Descriptive statistics

Standard deviation1450.8584
Coefficient of variation (CV)2.7818299
Kurtosis19.083043
Mean521.54822
Median Absolute Deviation (MAD)19
Skewness4.0856931
Sum102745
Variance2104990.2
MonotonicityNot monotonic
2023-12-12T08:31:43.939636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 23
 
11.7%
2 13
 
6.6%
3 9
 
4.6%
5 8
 
4.1%
6 8
 
4.1%
4 7
 
3.6%
8 5
 
2.5%
10 5
 
2.5%
13 4
 
2.0%
9 4
 
2.0%
Other values (87) 111
56.3%
ValueCountFrequency (%)
1 23
11.7%
2 13
6.6%
3 9
 
4.6%
4 7
 
3.6%
5 8
 
4.1%
6 8
 
4.1%
7 3
 
1.5%
8 5
 
2.5%
9 4
 
2.0%
10 5
 
2.5%
ValueCountFrequency (%)
9580 1
0.5%
9289 1
0.5%
8480 1
0.5%
5393 1
0.5%
4961 1
0.5%
4825 1
0.5%
4551 1
0.5%
3749 1
0.5%
3234 1
0.5%
3067 1
0.5%

체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77656416
Minimum28210
Maximum5.1683794 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T08:31:44.061678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28210
5-th percentile661786
Q15399710
median37614010
Q31.0915017 × 108
95-th percentile3.0715926 × 108
Maximum5.1683794 × 108
Range5.1680973 × 108
Interquartile range (IQR)1.0375046 × 108

Descriptive statistics

Standard deviation1.0769249 × 108
Coefficient of variation (CV)1.3867816
Kurtosis5.9534732
Mean77656416
Median Absolute Deviation (MAD)35388670
Skewness2.3563847
Sum1.5298314 × 1010
Variance1.1597673 × 1016
MonotonicityNot monotonic
2023-12-12T08:31:44.192269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5564210 1
 
0.5%
132855050 1
 
0.5%
130822180 1
 
0.5%
4860100 1
 
0.5%
18984480 1
 
0.5%
2288060 1
 
0.5%
9930090 1
 
0.5%
3365840 1
 
0.5%
23735580 1
 
0.5%
51704820 1
 
0.5%
Other values (187) 187
94.9%
ValueCountFrequency (%)
28210 1
0.5%
118510 1
0.5%
148320 1
0.5%
313810 1
0.5%
316890 1
0.5%
369810 1
0.5%
411170 1
0.5%
413810 1
0.5%
499200 1
0.5%
661090 1
0.5%
ValueCountFrequency (%)
516837940 1
0.5%
513679040 1
0.5%
502465110 1
0.5%
497593990 1
0.5%
465206160 1
0.5%
441864250 1
0.5%
435647500 1
0.5%
419054970 1
0.5%
390525610 1
0.5%
333531300 1
0.5%

누적체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct141
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1808.1675
Minimum1
Maximum26994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T08:31:44.320693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q122
median82
Q3361
95-th percentile12550
Maximum26994
Range26993
Interquartile range (IQR)339

Descriptive statistics

Standard deviation4746.4801
Coefficient of variation (CV)2.6250223
Kurtosis9.9770046
Mean1808.1675
Median Absolute Deviation (MAD)76
Skewness3.1648763
Sum356209
Variance22529073
MonotonicityNot monotonic
2023-12-12T08:31:44.448278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9
 
4.6%
4 6
 
3.0%
3 6
 
3.0%
2 4
 
2.0%
6 4
 
2.0%
53 4
 
2.0%
26 4
 
2.0%
28 3
 
1.5%
8 3
 
1.5%
60 2
 
1.0%
Other values (131) 152
77.2%
ValueCountFrequency (%)
1 9
4.6%
2 4
2.0%
3 6
3.0%
4 6
3.0%
6 4
2.0%
8 3
 
1.5%
9 2
 
1.0%
10 1
 
0.5%
11 1
 
0.5%
12 1
 
0.5%
ValueCountFrequency (%)
26994 1
0.5%
23935 1
0.5%
23769 1
0.5%
17705 1
0.5%
17576 1
0.5%
16584 1
0.5%
16341 1
0.5%
15312 1
0.5%
14748 1
0.5%
13154 1
0.5%

누적체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2900321 × 108
Minimum160720
Maximum2.5785639 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T08:31:44.579471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160720
5-th percentile1713776
Q132239870
median1.2345344 × 108
Q32.8502709 × 108
95-th percentile6.6689982 × 108
Maximum2.5785639 × 109
Range2.5784032 × 109
Interquartile range (IQR)2.5278722 × 108

Descriptive statistics

Standard deviation3.5366307 × 108
Coefficient of variation (CV)1.5443586
Kurtosis18.951379
Mean2.2900321 × 108
Median Absolute Deviation (MAD)1.041726 × 108
Skewness3.9121787
Sum4.5113632 × 1010
Variance1.2507757 × 1017
MonotonicityNot monotonic
2023-12-12T08:31:44.713995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19807960 1
 
0.5%
283610860 1
 
0.5%
394133140 1
 
0.5%
22753150 1
 
0.5%
75769290 1
 
0.5%
9962390 1
 
0.5%
13418850 1
 
0.5%
32060920 1
 
0.5%
63253620 1
 
0.5%
144037850 1
 
0.5%
Other values (187) 187
94.9%
ValueCountFrequency (%)
160720 1
0.5%
279230 1
0.5%
316890 1
0.5%
413810 1
0.5%
661960 1
0.5%
700810 1
0.5%
778430 1
0.5%
1018200 1
0.5%
1346770 1
0.5%
1361320 1
0.5%
ValueCountFrequency (%)
2578563880 1
0.5%
2076098770 1
0.5%
2003140280 1
0.5%
1965277860 1
0.5%
1562419730 1
0.5%
904269510 1
0.5%
898029690 1
0.5%
894214950 1
0.5%
884077230 1
0.5%
670020560 1
0.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-11-08 00:00:00
Maximum2023-11-08 00:00:00
2023-12-12T08:31:44.811654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:44.891486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:31:41.859637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.067252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.319088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.594945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.928990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.128573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.382343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.660071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.996269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.191773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.448974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.725915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:42.067631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.256251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.528005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:41.789619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:31:44.960795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액
과세년도1.0000.0000.0000.0000.3440.1540.000
세목명0.0001.0000.1680.3870.4250.4330.407
체납액구간0.0000.1681.0000.1940.5630.1800.345
체납건수0.0000.3870.1941.0000.6240.9730.775
체납금액0.3440.4250.5630.6241.0000.6670.870
누적체납건수0.1540.4330.1800.9730.6671.0000.910
누적체납금액0.0000.4070.3450.7750.8700.9101.000
2023-12-12T08:31:45.061038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명체납액구간과세년도
세목명1.0000.0790.000
체납액구간0.0791.0000.000
과세년도0.0000.0001.000
2023-12-12T08:31:45.144110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납건수체납금액누적체납건수누적체납금액과세년도세목명체납액구간
체납건수1.0000.4250.9440.4500.0000.2180.080
체납금액0.4251.0000.2830.9390.1480.2310.275
누적체납건수0.9440.2831.0000.3800.0930.2480.074
누적체납금액0.4500.9390.3801.0000.0000.2320.150
과세년도0.0000.1480.0930.0001.0000.0000.000
세목명0.2180.2310.2480.2320.0001.0000.079
체납액구간0.0800.2750.0740.1500.0000.0791.000

Missing values

2023-12-12T08:31:42.162083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:31:42.281840image/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

시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액데이터기준일
0강원특별자치도춘천시511102018등록면허세10만원 미만31055642101142198079602023-11-08
1강원특별자치도춘천시511102018등록면허세10만원~30만원미만114832047008102023-11-08
2강원특별자치도춘천시511102018자동차세10만원 미만14856780318095434262013602023-11-08
3강원특별자치도춘천시511102018자동차세10만원~30만원미만1995333531300936315624197302023-11-08
4강원특별자치도춘천시511102018자동차세30만원~50만원미만4515430910274982924102023-11-08
5강원특별자치도춘천시511102018자동차세50만원~1백만원미만3151389055350410902023-11-08
6강원특별자치도춘천시511102018재산세10만원 미만18605343853091562859660502023-11-08
7강원특별자치도춘천시511102018재산세10만원~30만원미만4367316730015942731172502023-11-08
8강원특별자치도춘천시511102018재산세1백만원~3백만원미만23409561401051760637802023-11-08
9강원특별자치도춘천시511102018재산세30만원~50만원미만3212803670128478506202023-11-08
시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액데이터기준일
187강원특별자치도춘천시511102022취득세10만원~30만원미만193258580105198930602023-11-08
188강원특별자치도춘천시511102022취득세1백만원~3백만원미만1726975430871485697602023-11-08
189강원특별자치도춘천시511102022취득세1억원~3억원미만112463363024159240502023-11-08
190강원특별자치도춘천시511102022취득세1천만원~3천만원미만47725436091548862602023-11-08
191강원특별자치도춘천시511102022취득세30만원~50만원미만11415423039149587102023-11-08
192강원특별자치도춘천시511102022취득세3백만원~5백만원미만931986670271023827602023-11-08
193강원특별자치도춘천시511102022취득세3천만원~5천만원미만1413123601413123602023-11-08
194강원특별자치도춘천시511102022취득세50만원~1백만원미만13946991075542871802023-11-08
195강원특별자치도춘천시511102022취득세5백만원~1천만원미만1581134013918006502023-11-08
196강원특별자치도춘천시511102022취득세5천만원~1억원미만16157264032349321002023-11-08