Overview

Dataset statistics

Number of variables11
Number of observations109
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 KiB
Average record size in memory95.2 B

Variable types

Categorical6
Numeric4
DateTime1

Dataset

Description이 데이터는 2017~2020년 남원시 지방세 체납현황에 대한 체납건수, 체납금액, 누적체납건수, 누적체납금액 등에 대한 데이터입니다.
URLhttps://www.data.go.kr/data/15079845/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일자 has constant value ""Constant
체납건수 is highly overall correlated with 누적체납건수 and 1 other fieldsHigh correlation
체납금액 is highly overall correlated with 누적체납금액High correlation
누적체납건수 is highly overall correlated with 체납건수High correlation
누적체납금액 is highly overall correlated with 체납건수 and 1 other fieldsHigh correlation
체납금액 has unique valuesUnique
누적체납금액 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:18:23.994839
Analysis finished2023-12-12 21:18:26.336437
Duration2.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1004.0 B
전라북도
109 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 109
100.0%

Length

2023-12-13T06:18:26.394193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:18:26.484408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 109
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1004.0 B
남원시
109 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남원시 109
100.0%

Length

2023-12-13T06:18:26.590032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:18:26.704948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남원시 109
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1004.0 B
45190
109 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row45190
2nd row45190
3rd row45190
4th row45190
5th row45190

Common Values

ValueCountFrequency (%)
45190 109
100.0%

Length

2023-12-13T06:18:26.790775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:18:26.868588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
45190 109
100.0%

과세년도
Categorical

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2020
35 
2019
28 
2018
27 
2017
19 

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 (%)
2020 35
32.1%
2019 28
25.7%
2018 27
24.8%
2017 19
17.4%

Length

2023-12-13T06:18:26.950065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:18:27.046567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 35
32.1%
2019 28
25.7%
2018 27
24.8%
2017 19
17.4%

세목명
Categorical

Distinct8
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size1004.0 B
지방소득세
30 
재산세
22 
취득세
21 
주민세
16 
자동차세
14 
Other values (3)
6 

Length

Max length7
Median length3
Mean length3.7889908
Min length3

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
지방소득세 30
27.5%
재산세 22
20.2%
취득세 21
19.3%
주민세 16
14.7%
자동차세 14
12.8%
등록면허세 4
 
3.7%
등록세 1
 
0.9%
지역자원시설세 1
 
0.9%

Length

2023-12-13T06:18:27.183485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:18:27.297194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방소득세 30
27.5%
재산세 22
20.2%
취득세 21
19.3%
주민세 16
14.7%
자동차세 14
12.8%
등록면허세 4
 
3.7%
등록세 1
 
0.9%
지역자원시설세 1
 
0.9%

체납액구간
Categorical

Distinct9
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1004.0 B
10만원 미만
26 
10만원~30만원미만
18 
30만원~50만원미만
17 
50만원~1백만원미만
14 
1백만원~3백만원미만
14 
Other values (4)
20 

Length

Max length11
Median length11
Mean length10.045872
Min length7

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
10만원 미만 26
23.9%
10만원~30만원미만 18
16.5%
30만원~50만원미만 17
15.6%
50만원~1백만원미만 14
12.8%
1백만원~3백만원미만 14
12.8%
1천만원~3천만원미만 7
 
6.4%
5백만원~1천만원미만 6
 
5.5%
3백만원~5백만원미만 6
 
5.5%
3천만원~5천만원미만 1
 
0.9%

Length

2023-12-13T06:18:27.441374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:18:27.561187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10만원 26
19.3%
미만 26
19.3%
10만원~30만원미만 18
13.3%
30만원~50만원미만 17
12.6%
50만원~1백만원미만 14
10.4%
1백만원~3백만원미만 14
10.4%
1천만원~3천만원미만 7
 
5.2%
5백만원~1천만원미만 6
 
4.4%
3백만원~5백만원미만 6
 
4.4%
3천만원~5천만원미만 1
 
0.7%

체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.09174
Minimum1
Maximum2958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T06:18:27.684989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q335
95-th percentile870.8
Maximum2958
Range2957
Interquartile range (IQR)33

Descriptive statistics

Standard deviation442.03872
Coefficient of variation (CV)2.7960899
Kurtosis21.856237
Mean158.09174
Median Absolute Deviation (MAD)5
Skewness4.354652
Sum17232
Variance195398.23
MonotonicityNot monotonic
2023-12-13T06:18:27.797538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 18
 
16.5%
1 17
 
15.6%
3 7
 
6.4%
6 5
 
4.6%
5 4
 
3.7%
4 4
 
3.7%
12 3
 
2.8%
25 2
 
1.8%
8 2
 
1.8%
13 2
 
1.8%
Other values (40) 45
41.3%
ValueCountFrequency (%)
1 17
15.6%
2 18
16.5%
3 7
 
6.4%
4 4
 
3.7%
5 4
 
3.7%
6 5
 
4.6%
7 2
 
1.8%
8 2
 
1.8%
9 1
 
0.9%
10 2
 
1.8%
ValueCountFrequency (%)
2958 1
0.9%
2504 1
0.9%
1450 1
0.9%
1282 1
0.9%
902 1
0.9%
872 1
0.9%
869 1
0.9%
777 1
0.9%
675 1
0.9%
571 1
0.9%

체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13761427
Minimum19550
Maximum1.3092318 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T06:18:27.925004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19550
5-th percentile198274
Q11670590
median4610710
Q316839210
95-th percentile48006736
Maximum1.3092318 × 108
Range1.3090363 × 108
Interquartile range (IQR)15168620

Descriptive statistics

Standard deviation20913528
Coefficient of variation (CV)1.5197208
Kurtosis13.03118
Mean13761427
Median Absolute Deviation (MAD)4201320
Skewness3.1816006
Sum1.4999956 × 109
Variance4.3737563 × 1014
MonotonicityNot monotonic
2023-12-13T06:18:28.055346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
762900 1
 
0.9%
89480 1
 
0.9%
46115290 1
 
0.9%
49597480 1
 
0.9%
62860060 1
 
0.9%
8405900 1
 
0.9%
113962980 1
 
0.9%
34885410 1
 
0.9%
7647350 1
 
0.9%
1458790 1
 
0.9%
Other values (99) 99
90.8%
ValueCountFrequency (%)
19550 1
0.9%
29750 1
0.9%
89480 1
0.9%
116800 1
0.9%
122180 1
0.9%
128350 1
0.9%
303160 1
0.9%
307130 1
0.9%
375010 1
0.9%
409390 1
0.9%
ValueCountFrequency (%)
130923180 1
0.9%
113962980 1
0.9%
71584090 1
0.9%
62860060 1
0.9%
49597480 1
0.9%
49267700 1
0.9%
46115290 1
0.9%
45507830 1
0.9%
41740440 1
0.9%
40199280 1
0.9%

누적체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct65
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443.76147
Minimum1
Maximum7525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T06:18:28.165274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median14
Q377
95-th percentile2703.6
Maximum7525
Range7524
Interquartile range (IQR)72

Descriptive statistics

Standard deviation1193.6016
Coefficient of variation (CV)2.6897368
Kurtosis16.152167
Mean443.76147
Median Absolute Deviation (MAD)12
Skewness3.78139
Sum48370
Variance1424684.7
MonotonicityNot monotonic
2023-12-13T06:18:28.282788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 9
 
8.3%
1 8
 
7.3%
4 5
 
4.6%
7 5
 
4.6%
5 4
 
3.7%
12 3
 
2.8%
9 3
 
2.8%
8 3
 
2.8%
10 3
 
2.8%
2 3
 
2.8%
Other values (55) 63
57.8%
ValueCountFrequency (%)
1 8
7.3%
2 3
 
2.8%
3 9
8.3%
4 5
4.6%
5 4
3.7%
6 2
 
1.8%
7 5
4.6%
8 3
 
2.8%
9 3
 
2.8%
10 3
 
2.8%
ValueCountFrequency (%)
7525 1
0.9%
6011 1
0.9%
4567 1
0.9%
3507 1
0.9%
3117 1
0.9%
2752 1
0.9%
2631 1
0.9%
2225 1
0.9%
2215 1
0.9%
2077 1
0.9%

누적체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33097113
Minimum38340
Maximum4.5206002 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T06:18:28.418729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38340
5-th percentile526712
Q14380480
median12620840
Q334525310
95-th percentile1.1037433 × 108
Maximum4.5206002 × 108
Range4.5202168 × 108
Interquartile range (IQR)30144830

Descriptive statistics

Standard deviation61293408
Coefficient of variation (CV)1.8519261
Kurtosis25.208216
Mean33097113
Median Absolute Deviation (MAD)10296970
Skewness4.5142151
Sum3.6075853 × 109
Variance3.7568819 × 1015
MonotonicityNot monotonic
2023-12-13T06:18:28.538258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1943680 1
 
0.9%
580400 1
 
0.9%
61348500 1
 
0.9%
83496030 1
 
0.9%
139965310 1
 
0.9%
34525310 1
 
0.9%
452060020 1
 
0.9%
114557380 1
 
0.9%
13629980 1
 
0.9%
4574290 1
 
0.9%
Other values (99) 99
90.8%
ValueCountFrequency (%)
38340 1
0.9%
122180 1
0.9%
303160 1
0.9%
307130 1
0.9%
461170 1
0.9%
490920 1
0.9%
580400 1
0.9%
697200 1
0.9%
712550 1
0.9%
1040950 1
0.9%
ValueCountFrequency (%)
452060020 1
0.9%
338097040 1
0.9%
207173860 1
0.9%
139965310 1
0.9%
135589770 1
0.9%
114557380 1
0.9%
104099750 1
0.9%
97407890 1
0.9%
97138790 1
0.9%
90632300 1
0.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1004.0 B
Minimum2020-12-31 00:00:00
Maximum2020-12-31 00:00:00
2023-12-13T06:18:28.634249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:28.710767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:18:25.451795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:24.326828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:24.707476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:25.070682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:25.526642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:24.415296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:24.793356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:25.183286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:25.611985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:24.521255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:24.882428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:25.279622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:25.692410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:24.631149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:24.979874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:25.367488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:18:28.775237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액
과세년도1.0000.0000.0000.0000.2630.2290.181
세목명0.0001.0000.0000.2230.0000.4020.000
체납액구간0.0000.0001.0000.0000.3250.0000.000
체납건수0.0000.2230.0001.0000.7570.9430.914
체납금액0.2630.0000.3250.7571.0000.9120.951
누적체납건수0.2290.4020.0000.9430.9121.0000.812
누적체납금액0.1810.0000.0000.9140.9510.8121.000
2023-12-13T06:18:28.870340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납액구간세목명과세년도
체납액구간1.0000.0000.000
세목명0.0001.0000.000
과세년도0.0000.0001.000
2023-12-13T06:18:28.967134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납건수체납금액누적체납건수누적체납금액과세년도세목명체납액구간
체납건수1.0000.4560.9610.5100.0000.1180.000
체납금액0.4561.0000.3560.9590.1170.0000.163
누적체납건수0.9610.3561.0000.4650.0990.1420.000
누적체납금액0.5100.9590.4651.0000.1200.0000.000
과세년도0.0000.1170.0990.1201.0000.0000.000
세목명0.1180.0000.1420.0000.0001.0000.000
체납액구간0.0000.1630.0000.0000.0000.0001.000

Missing values

2023-12-13T06:18:25.812689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:18:26.282042image/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

시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액데이터기준일자
0전라북도남원시451902017등록면허세10만원 미만5176290012819436802020-12-31
1전라북도남원시451902017자동차세10만원 미만2109389740909407309102020-12-31
2전라북도남원시451902017자동차세10만원~30만원미만310492677008511355897702020-12-31
3전라북도남원시451902017자동차세30만원~50만원미만1340689902581835402020-12-31
4전라북도남원시451902017자동차세50만원~1백만원미만21176850425804902020-12-31
5전라북도남원시451902017재산세10만원 미만55590972302215362223802020-12-31
6전라북도남원시451902017재산세10만원~30만원미만25396763069115534502020-12-31
7전라북도남원시451902017재산세50만원~1백만원미만31867250533008402020-12-31
8전라북도남원시451902017주민세10만원 미만571100211601353206781602020-12-31
9전라북도남원시451902017주민세1백만원~3백만원미만11820300246123002020-12-31
시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액데이터기준일자
99전라북도남원시451902020지역자원시설세10만원 미만712218071221802020-12-31
100전라북도남원시451902020취득세10만원 미만2116800166972002020-12-31
101전라북도남원시451902020취득세10만원~30만원미만36800602141730202020-12-31
102전라북도남원시451902020취득세1백만원~3백만원미만6111586809158220802020-12-31
103전라북도남원시451902020취득세1천만원~3천만원미만2455078305974078902020-12-31
104전라북도남원시451902020취득세30만원~50만원미만41794730625072802020-12-31
105전라북도남원시451902020취득세3백만원~5백만원미만7270633208312125702020-12-31
106전라북도남원시451902020취득세3천만원~5천만원미만1319562501319562502020-12-31
107전라북도남원시451902020취득세50만원~1백만원미만318325601064068502020-12-31
108전라북도남원시451902020취득세5백만원~1천만원미만4237514504237514502020-12-31