Overview

Dataset statistics

Number of variables10
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory89.8 B

Variable types

Categorical6
Numeric4

Dataset

Description제공범위 : 지방세 체납현황을 체납액 규모별로 제공. 관련 법령 : 지방세법. 소관기관 : 지방자치단체. 제공기관 : 시군구. 표준데이터 셋 제공시스템 : 표준지방세시스템. 자료기준일 : 매년 12월 31일.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=353&beforeMenuCd=DOM_000000201001001000&publicdatapk=15078703

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
과세년도 has constant value ""Constant
체납건수 is highly overall correlated with 누적체납건수High correlation
체납금액 is highly overall correlated with 누적체납금액High correlation
누적체납건수 is highly overall correlated with 체납건수High correlation
누적체납금액 is highly overall correlated with 체납금액High correlation
체납금액 has unique valuesUnique
누적체납금액 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:44:39.785233
Analysis finished2024-01-09 21:44:41.278810
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
충청남도
35 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 35
100.0%

Length

2024-01-10T06:44:41.610956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:44:41.684619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 35
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
홍성군
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홍성군 35
100.0%

Length

2024-01-10T06:44:41.759932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:44:41.832002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홍성군 35
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
44800
35 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44800
2nd row44800
3rd row44800
4th row44800
5th row44800

Common Values

ValueCountFrequency (%)
44800 35
100.0%

Length

2024-01-10T06:44:41.908715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:44:41.979883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44800 35
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2020
35 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 35
100.0%

Length

2024-01-10T06:44:42.053576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:44:42.126812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 35
100.0%

세목명
Categorical

Distinct7
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
지방소득세
9 
재산세
8 
취득세
7 
주민세
5 
자동차세
4 
Other values (2)
2 

Length

Max length7
Median length3
Mean length3.8
Min length3

Unique

Unique2 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
지방소득세 9
25.7%
재산세 8
22.9%
취득세 7
20.0%
주민세 5
14.3%
자동차세 4
11.4%
등록면허세 1
 
2.9%
지역자원시설세 1
 
2.9%

Length

2024-01-10T06:44:42.209217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:44:42.314292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방소득세 9
25.7%
재산세 8
22.9%
취득세 7
20.0%
주민세 5
14.3%
자동차세 4
11.4%
등록면허세 1
 
2.9%
지역자원시설세 1
 
2.9%

체납액구간
Categorical

Distinct9
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
10만원 미만
6 
10만원~30만원미만
6 
30만원~50만원미만
5 
50만원~1백만원미만
5 
1백만원~3백만원미만
4 
Other values (4)
9 

Length

Max length11
Median length11
Mean length10.314286
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 6
17.1%
10만원~30만원미만 6
17.1%
30만원~50만원미만 5
14.3%
50만원~1백만원미만 5
14.3%
1백만원~3백만원미만 4
11.4%
1천만원~3천만원미만 3
8.6%
3백만원~5백만원미만 2
 
5.7%
5백만원~1천만원미만 2
 
5.7%
3천만원~5천만원미만 2
 
5.7%

Length

2024-01-10T06:44:42.419740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:44:42.519063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10만원 6
14.6%
미만 6
14.6%
10만원~30만원미만 6
14.6%
30만원~50만원미만 5
12.2%
50만원~1백만원미만 5
12.2%
1백만원~3백만원미만 4
9.8%
1천만원~3천만원미만 3
7.3%
3백만원~5백만원미만 2
 
4.9%
5백만원~1천만원미만 2
 
4.9%
3천만원~5천만원미만 2
 
4.9%

체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.54286
Minimum1
Maximum2539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-01-10T06:44:42.618769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median9
Q351
95-th percentile992.4
Maximum2539
Range2538
Interquartile range (IQR)48

Descriptive statistics

Standard deviation510.21653
Coefficient of variation (CV)2.6498855
Kurtosis14.481172
Mean192.54286
Median Absolute Deviation (MAD)8
Skewness3.6967186
Sum6739
Variance260320.9
MonotonicityNot monotonic
2024-01-10T06:44:42.710534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2 4
 
11.4%
1 3
 
8.6%
3 3
 
8.6%
9 2
 
5.7%
8 2
 
5.7%
6 2
 
5.7%
187 1
 
2.9%
4 1
 
2.9%
5 1
 
2.9%
30 1
 
2.9%
Other values (15) 15
42.9%
ValueCountFrequency (%)
1 3
8.6%
2 4
11.4%
3 3
8.6%
4 1
 
2.9%
5 1
 
2.9%
6 2
5.7%
7 1
 
2.9%
8 2
5.7%
9 2
5.7%
11 1
 
2.9%
ValueCountFrequency (%)
2539 1
2.9%
1593 1
2.9%
735 1
2.9%
599 1
2.9%
381 1
2.9%
259 1
2.9%
187 1
2.9%
79 1
2.9%
54 1
2.9%
48 1
2.9%

체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32102828
Minimum304130
Maximum1.5551145 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-01-10T06:44:42.805400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum304130
5-th percentile458662
Q12161375
median18201270
Q347266060
95-th percentile1.0500192 × 108
Maximum1.5551145 × 108
Range1.5520732 × 108
Interquartile range (IQR)45104685

Descriptive statistics

Standard deviation36692963
Coefficient of variation (CV)1.1429823
Kurtosis2.7574659
Mean32102828
Median Absolute Deviation (MAD)16995580
Skewness1.6058227
Sum1.123599 × 109
Variance1.3463735 × 1015
MonotonicityNot monotonic
2024-01-10T06:44:42.907614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
2223780 1
 
2.9%
30724700 1
 
2.9%
62703530 1
 
2.9%
155511450 1
 
2.9%
13022830 1
 
2.9%
35196850 1
 
2.9%
110058730 1
 
2.9%
22147740 1
 
2.9%
67389860 1
 
2.9%
519220 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
304130 1
2.9%
317360 1
2.9%
519220 1
2.9%
876350 1
2.9%
1034380 1
2.9%
1214710 1
2.9%
1481640 1
2.9%
1678680 1
2.9%
2098970 1
2.9%
2223780 1
2.9%
ValueCountFrequency (%)
155511450 1
2.9%
110058730 1
2.9%
102834710 1
2.9%
72793310 1
2.9%
67389860 1
2.9%
63416660 1
2.9%
62983380 1
2.9%
62703530 1
2.9%
51897290 1
2.9%
42634830 1
2.9%

누적체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean457.57143
Minimum1
Maximum6607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-01-10T06:44:43.004807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15.5
median19
Q3106
95-th percentile2296.2
Maximum6607
Range6606
Interquartile range (IQR)100.5

Descriptive statistics

Standard deviation1264.3977
Coefficient of variation (CV)2.7632793
Kurtosis17.229731
Mean457.57143
Median Absolute Deviation (MAD)17
Skewness3.9540289
Sum16015
Variance1598701.4
MonotonicityNot monotonic
2024-01-10T06:44:43.096867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 3
 
8.6%
3 2
 
5.7%
4 2
 
5.7%
14 2
 
5.7%
6 2
 
5.7%
1 1
 
2.9%
11 1
 
2.9%
8 1
 
2.9%
19 1
 
2.9%
76 1
 
2.9%
Other values (19) 19
54.3%
ValueCountFrequency (%)
1 1
 
2.9%
2 3
8.6%
3 2
5.7%
4 2
5.7%
5 1
 
2.9%
6 2
5.7%
8 1
 
2.9%
11 1
 
2.9%
14 2
5.7%
16 1
 
2.9%
ValueCountFrequency (%)
6607 1
2.9%
3181 1
2.9%
1917 1
2.9%
1825 1
2.9%
647 1
2.9%
497 1
2.9%
401 1
2.9%
162 1
2.9%
111 1
2.9%
101 1
2.9%

누적체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66321313
Minimum439070
Maximum3.2803791 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-01-10T06:44:43.195627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439070
5-th percentile617878
Q14409010
median38285570
Q31.0857902 × 108
95-th percentile1.9163016 × 108
Maximum3.2803791 × 108
Range3.2759884 × 108
Interquartile range (IQR)1.0417002 × 108

Descriptive statistics

Standard deviation77445151
Coefficient of variation (CV)1.1677264
Kurtosis3.4206307
Mean66321313
Median Absolute Deviation (MAD)36606890
Skewness1.7359243
Sum2.321246 × 109
Variance5.9977515 × 1015
MonotonicityNot monotonic
2024-01-10T06:44:43.292936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4746060 1
 
2.9%
80311600 1
 
2.9%
117839630 1
 
2.9%
271404880 1
 
2.9%
24952710 1
 
2.9%
88102330 1
 
2.9%
151351230 1
 
2.9%
54759890 1
 
2.9%
147064500 1
 
2.9%
519220 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
439070 1
2.9%
519220 1
2.9%
660160 1
2.9%
1034380 1
2.9%
1678680 1
2.9%
2463530 1
2.9%
2489640 1
2.9%
3762510 1
2.9%
4105250 1
2.9%
4712770 1
2.9%
ValueCountFrequency (%)
328037910 1
2.9%
271404880 1
2.9%
157440990 1
2.9%
151351230 1
2.9%
147064500 1
2.9%
134994040 1
2.9%
117839630 1
2.9%
117809330 1
2.9%
110109670 1
2.9%
107048380 1
2.9%

Interactions

2024-01-10T06:44:40.837207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.022130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.286939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.575214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.898307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.079557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.351248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.634074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.967788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.153692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.426507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.707085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:41.038156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.220168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.500960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:44:40.768757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:44:43.362976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명체납액구간체납건수체납금액누적체납건수누적체납금액
세목명1.0000.0000.2820.0000.4190.000
체납액구간0.0001.0000.0000.6260.0000.292
체납건수0.2820.0001.0000.3811.0000.512
체납금액0.0000.6260.3811.0000.6860.911
누적체납건수0.4190.0001.0000.6861.0000.596
누적체납금액0.0000.2920.5120.9110.5961.000
2024-01-10T06:44:43.440824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납액구간세목명
체납액구간1.0000.000
세목명0.0001.000
2024-01-10T06:44:43.512493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납건수체납금액누적체납건수누적체납금액세목명체납액구간
체납건수1.0000.4390.9850.4750.1620.000
체납금액0.4391.0000.4220.9800.0000.365
누적체납건수0.9850.4221.0000.4750.2770.000
누적체납금액0.4750.9800.4751.0000.0000.137
세목명0.1620.0000.2770.0001.0000.000
체납액구간0.0000.3650.0000.1370.0001.000

Missing values

2024-01-10T06:44:41.129414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:44:41.235085image/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

시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액
0충청남도홍성군448002020등록면허세10만원 미만18722237804014746060
1충청남도홍성군448002020자동차세10만원 미만73530724700182580311600
2충청남도홍성군448002020자동차세10만원~30만원미만5991028347101917328037910
3충청남도홍성군448002020자동차세30만원~50만원미만33112400209130875370
4충청남도홍성군448002020자동차세50만원~1백만원미만2103438021034380
5충청남도홍성군448002020재산세10만원 미만2539629833806607157440990
6충청남도홍성군448002020재산세10만원~30만원미만38163416660647107048380
7충청남도홍성군448002020재산세1백만원~3백만원미만407279331078134994040
8충청남도홍성군448002020재산세1천만원~3천만원미만336465650557439150
9충청남도홍성군448002020재산세30만원~50만원미만481820127010138285570
시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액
25충청남도홍성군448002020지방소득세50만원~1백만원미만30221477407654759890
26충청남도홍성군448002020지방소득세5백만원~1천만원미만96738986019147064500
27충청남도홍성군448002020지역자원시설세10만원~30만원미만25192202519220
28충청남도홍성군448002020취득세10만원 미만53173608439070
29충청남도홍성군448002020취득세10만원~30만원미만81481640142489640
30충청남도홍성군448002020취득세1백만원~3백만원미만6102618901117446560
31충청남도홍성군448002020취득세1천만원~3천만원미만117908710353858910
32충청남도홍성군448002020취득세30만원~50만원미만13041302660160
33충청남도홍성군448002020취득세3천만원~5천만원미만133131640133131640
34충청남도홍성군448002020취득세50만원~1백만원미만3209897064105250