Overview

Dataset statistics

Number of variables10
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory89.2 B

Variable types

Categorical6
Numeric4

Dataset

Description체납액 규모별 체납 건수를 납세자 유형별로 제공하는 데이터로 세목명, 체납액 구간, 체납 건수, 체납 금액, 누적 체납 건수, 누적 체납 금액 등의 항목을 제공합니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/15079920/fileData.do

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 started2023-12-12 19:34:41.056128
Analysis finished2023-12-12 19:34:43.587328
Duration2.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
전라남도
41 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 41
100.0%

Length

2023-12-13T04:34:43.671880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:34:43.809252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 41
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
여수시
41 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여수시 41
100.0%

Length

2023-12-13T04:34:43.921691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:34:44.028878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여수시 41
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
46130
41 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46130
2nd row46130
3rd row46130
4th row46130
5th row46130

Common Values

ValueCountFrequency (%)
46130 41
100.0%

Length

2023-12-13T04:34:44.511082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:34:44.637369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46130 41
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2022
41 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 41
100.0%

Length

2023-12-13T04:34:44.787014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:34:44.920046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 41
100.0%

세목명
Categorical

Distinct7
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
지방소득세
11 
재산세
9 
취득세
8 
주민세
5 
자동차세
4 
Other values (2)
4 

Length

Max length7
Median length3
Mean length3.9268293
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지방소득세 11
26.8%
재산세 9
22.0%
취득세 8
19.5%
주민세 5
12.2%
자동차세 4
 
9.8%
등록면허세 2
 
4.9%
지역자원시설세 2
 
4.9%

Length

2023-12-13T04:34:45.066976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:34:45.219023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방소득세 11
26.8%
재산세 9
22.0%
취득세 8
19.5%
주민세 5
12.2%
자동차세 4
 
9.8%
등록면허세 2
 
4.9%
지역자원시설세 2
 
4.9%

체납액구간
Categorical

Distinct11
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
10만원 미만
7 
30만원~50만원미만
6 
10만원~30만원미만
6 
50만원~1백만원미만
5 
1백만원~3백만원미만
4 
Other values (6)
13 

Length

Max length11
Median length11
Mean length10.219512
Min length7

Unique

Unique2 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
10만원 미만 7
17.1%
30만원~50만원미만 6
14.6%
10만원~30만원미만 6
14.6%
50만원~1백만원미만 5
12.2%
1백만원~3백만원미만 4
9.8%
1천만원~3천만원미만 3
7.3%
3백만원~5백만원미만 3
7.3%
5백만원~1천만원미만 3
7.3%
5천만원~1억원미만 2
 
4.9%
1억원~3억원미만 1
 
2.4%

Length

2023-12-13T04:34:45.389846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10만원 7
14.6%
미만 7
14.6%
30만원~50만원미만 6
12.5%
10만원~30만원미만 6
12.5%
50만원~1백만원미만 5
10.4%
1백만원~3백만원미만 4
8.3%
1천만원~3천만원미만 3
6.2%
3백만원~5백만원미만 3
6.2%
5백만원~1천만원미만 3
6.2%
5천만원~1억원미만 2
 
4.2%
Other values (2) 2
 
4.2%

체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330.95122
Minimum1
Maximum4631
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T04:34:45.579280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median20
Q3115
95-th percentile1971
Maximum4631
Range4630
Interquartile range (IQR)109

Descriptive statistics

Standard deviation847.63232
Coefficient of variation (CV)2.5612002
Kurtosis16.949835
Mean330.95122
Median Absolute Deviation (MAD)18
Skewness3.8483713
Sum13569
Variance718480.55
MonotonicityNot monotonic
2023-12-13T04:34:45.731488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5 3
 
7.3%
1 3
 
7.3%
2 2
 
4.9%
13 2
 
4.9%
7 2
 
4.9%
20 2
 
4.9%
35 1
 
2.4%
239 1
 
2.4%
103 1
 
2.4%
21 1
 
2.4%
Other values (23) 23
56.1%
ValueCountFrequency (%)
1 3
7.3%
2 2
4.9%
3 1
 
2.4%
4 1
 
2.4%
5 3
7.3%
6 1
 
2.4%
7 2
4.9%
9 1
 
2.4%
11 1
 
2.4%
12 1
 
2.4%
ValueCountFrequency (%)
4631 1
2.4%
2026 1
2.4%
1971 1
2.4%
1208 1
2.4%
1163 1
2.4%
661 1
2.4%
636 1
2.4%
239 1
2.4%
127 1
2.4%
123 1
2.4%

체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79688766
Minimum138520
Maximum3.4253202 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T04:34:45.905699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138520
5-th percentile599580
Q17982590
median44586120
Q31.3634407 × 108
95-th percentile2.2898553 × 108
Maximum3.4253202 × 108
Range3.423935 × 108
Interquartile range (IQR)1.2836148 × 108

Descriptive statistics

Standard deviation90611214
Coefficient of variation (CV)1.1370638
Kurtosis1.5838323
Mean79688766
Median Absolute Deviation (MAD)42172950
Skewness1.393867
Sum3.2672394 × 109
Variance8.210392 × 1015
MonotonicityNot monotonic
2023-12-13T04:34:46.052292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
10555550 1
 
2.4%
138520 1
 
2.4%
108246910 1
 
2.4%
342532020 1
 
2.4%
36480930 1
 
2.4%
138830830 1
 
2.4%
189339300 1
 
2.4%
88525320 1
 
2.4%
194387200 1
 
2.4%
228985530 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
138520 1
2.4%
432600 1
2.4%
599580 1
2.4%
693760 1
2.4%
2413170 1
2.4%
2890950 1
2.4%
3062780 1
2.4%
3211670 1
2.4%
4132440 1
2.4%
7413440 1
2.4%
ValueCountFrequency (%)
342532020 1
2.4%
341849180 1
2.4%
228985530 1
2.4%
196354580 1
2.4%
194387200 1
2.4%
189339300 1
2.4%
178126330 1
2.4%
169936580 1
2.4%
138830830 1
2.4%
137747720 1
2.4%

누적체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1175.9268
Minimum1
Maximum14090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T04:34:46.170926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114
median42
Q3314
95-th percentile6919
Maximum14090
Range14089
Interquartile range (IQR)300

Descriptive statistics

Standard deviation3206.8718
Coefficient of variation (CV)2.7271015
Kurtosis10.366494
Mean1175.9268
Median Absolute Deviation (MAD)37
Skewness3.2859037
Sum48213
Variance10284027
MonotonicityNot monotonic
2023-12-13T04:34:46.287689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
41 2
 
4.9%
2 2
 
4.9%
9 2
 
4.9%
5 2
 
4.9%
1514 1
 
2.4%
74 1
 
2.4%
314 1
 
2.4%
182 1
 
2.4%
76 1
 
2.4%
337 1
 
2.4%
Other values (27) 27
65.9%
ValueCountFrequency (%)
1 1
2.4%
2 2
4.9%
5 2
4.9%
7 1
2.4%
8 1
2.4%
9 2
4.9%
12 1
2.4%
14 1
2.4%
18 1
2.4%
19 1
2.4%
ValueCountFrequency (%)
14090 1
2.4%
13022 1
2.4%
6919 1
2.4%
6638 1
2.4%
1843 1
2.4%
1514 1
2.4%
1247 1
2.4%
548 1
2.4%
337 1
2.4%
334 1
2.4%

누적체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8886596 × 108
Minimum419250
Maximum1.1714228 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T04:34:46.469148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum419250
5-th percentile599580
Q121927790
median1.0256613 × 108
Q32.8923157 × 108
95-th percentile6.0400883 × 108
Maximum1.1714228 × 109
Range1.1710035 × 109
Interquartile range (IQR)2.6730378 × 108

Descriptive statistics

Standard deviation2.3706008 × 108
Coefficient of variation (CV)1.2551763
Kurtosis6.4243646
Mean1.8886596 × 108
Median Absolute Deviation (MAD)98042770
Skewness2.2072007
Sum7.7435045 × 109
Variance5.619748 × 1016
MonotonicityNot monotonic
2023-12-13T04:34:46.619669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
25762240 1
 
2.4%
419250 1
 
2.4%
250736640 1
 
2.4%
649727460 1
 
2.4%
72545820 1
 
2.4%
289231570 1
 
2.4%
347257590 1
 
2.4%
240405030 1
 
2.4%
525979020 1
 
2.4%
604008830 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
419250 1
2.4%
432600 1
2.4%
599580 1
2.4%
2202470 1
2.4%
4523360 1
2.4%
7286530 1
2.4%
10111070 1
2.4%
10586110 1
2.4%
15969650 1
2.4%
20563090 1
2.4%
ValueCountFrequency (%)
1171422770 1
2.4%
649727460 1
2.4%
604008830 1
2.4%
530664260 1
2.4%
525979020 1
2.4%
347257590 1
2.4%
330840200 1
2.4%
319998890 1
2.4%
300349700 1
2.4%
294210640 1
2.4%

Interactions

2023-12-13T04:34:42.867647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:41.368080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:41.865793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:42.387172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:42.962909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:41.490439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:42.008379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:42.505648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:43.107757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:41.629840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:42.131648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:42.633361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:43.207280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:41.750795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:42.269718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:34:42.755290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:34:46.713860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명체납액구간체납건수체납금액누적체납건수누적체납금액
세목명1.0000.0000.4560.2130.5380.353
체납액구간0.0001.0000.0000.4790.0000.138
체납건수0.4560.0001.0000.3880.8630.418
체납금액0.2130.4790.3881.0000.5150.829
누적체납건수0.5380.0000.8630.5151.0000.524
누적체납금액0.3530.1380.4180.8290.5241.000
2023-12-13T04:34:46.823719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납액구간세목명
체납액구간1.0000.000
세목명0.0001.000
2023-12-13T04:34:46.914731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납건수체납금액누적체납건수누적체납금액세목명체납액구간
체납건수1.0000.3530.9840.3720.2990.000
체납금액0.3531.0000.3290.9820.1200.237
누적체납건수0.9840.3291.0000.3590.3800.000
누적체납금액0.3720.9820.3591.0000.2210.030
세목명0.2990.1200.3800.2211.0000.000
체납액구간0.0000.2370.0000.0300.0001.000

Missing values

2023-12-13T04:34:43.337777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:34:43.506976image/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
0전라남도여수시461302022등록면허세10만원 미만66110555550151425762240
1전라남도여수시461302022등록면허세30만원~50만원미만14326001432600
2전라남도여수시461302022자동차세10만원 미만2026894773606638300349700
3전라남도여수시461302022자동차세10만원~30만원미만197134184918069191171422770
4전라남도여수시461302022자동차세30만원~50만원미만11540506300334119512870
5전라남도여수시461302022자동차세50만원~1백만원미만741324403520563090
6전라남도여수시461302022재산세10만원 미만463112706300013022319998890
7전라남도여수시461302022재산세10만원~30만원미만12081963545801843294210640
8전라남도여수시461302022재산세1백만원~3백만원미만81136344070156262765520
9전라남도여수시461302022재산세1천만원~3천만원미만1116993658022330840200
시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액
31전라남도여수시461302022지역자원시설세10만원 미만2013852033419250
32전라남도여수시461302022지역자원시설세10만원~30만원미만55995805599580
33전라남도여수시461302022취득세10만원 미만12693760422202470
34전라남도여수시461302022취득세10만원~30만원미만1530627805710586110
35전라남도여수시461302022취득세1백만원~3백만원미만13211990304167530310
36전라남도여수시461302022취득세1천만원~3천만원미만231015610576210450
37전라남도여수시461302022취득세30만원~50만원미만72890950187286530
38전라남도여수시461302022취득세3백만원~5백만원미만27982590727150420
39전라남도여수시461302022취득세50만원~1백만원미만1397831503021927790
40전라남도여수시461302022취득세5백만원~1천만원미만321258570858875630