Overview

Dataset statistics

Number of variables11
Number of observations120
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.1 KiB
Average record size in memory95.1 B

Variable types

Categorical9
Numeric2

Dataset

Description제주특별자치도 본청의 연도별(2017~2019), 체납액 규모별로 체납건수 및 체납금액 데이터를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15079857/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
체납건수 has constant value ""Constant
체납금액 has constant value ""Constant
데이터기준일자 has constant value ""Constant
누적체납금액 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:19:38.736002
Analysis finished2023-12-12 20:19:39.772627
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
제주특별자치도
120 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 120
100.0%

Length

2023-12-13T05:19:39.856651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:39.970176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 120
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
제주특별자치도
120 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 120
100.0%

Length

2023-12-13T05:19:40.090365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:40.208565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 120
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
50000
120 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50000
2nd row50000
3rd row50000
4th row50000
5th row50000

Common Values

ValueCountFrequency (%)
50000 120
100.0%

Length

2023-12-13T05:19:40.322136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:40.440762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50000 120
100.0%

과세년도
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2019
46 
2018
39 
2017
35 

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 (%)
2019 46
38.3%
2018 39
32.5%
2017 35
29.2%

Length

2023-12-13T05:19:40.587546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:40.740226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 46
38.3%
2018 39
32.5%
2017 35
29.2%

세목명
Categorical

Distinct6
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
재산세
35 
지방소득세
32 
취득세
20 
주민세
16 
자동차세
12 

Length

Max length5
Median length3
Mean length3.7166667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 35
29.2%
지방소득세 32
26.7%
취득세 20
16.7%
주민세 16
13.3%
자동차세 12
 
10.0%
등록면허세 5
 
4.2%

Length

2023-12-13T05:19:40.883455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:41.037023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 35
29.2%
지방소득세 32
26.7%
취득세 20
16.7%
주민세 16
13.3%
자동차세 12
 
10.0%
등록면허세 5
 
4.2%

체납액구간
Categorical

Distinct14
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
10만원 미만
16 
50만원~1백만원미만
14 
10만원~30만원미만
13 
1백만원~3백만원미만
12 
3백만원~5백만원미만
12 
Other values (9)
53 

Length

Max length11
Median length11
Mean length10.216667
Min length6

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
10만원 미만 16
13.3%
50만원~1백만원미만 14
11.7%
10만원~30만원미만 13
10.8%
1백만원~3백만원미만 12
10.0%
3백만원~5백만원미만 12
10.0%
30만원~50만원미만 10
8.3%
5백만원~1천만원미만 10
8.3%
1천만원~3천만원미만 9
7.5%
3천만원~5천만원미만 6
 
5.0%
5천만원~1억원미만 6
 
5.0%
Other values (4) 12
10.0%

Length

2023-12-13T05:19:41.195105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10만원 16
11.8%
미만 16
11.8%
50만원~1백만원미만 14
10.3%
10만원~30만원미만 13
9.6%
1백만원~3백만원미만 12
8.8%
3백만원~5백만원미만 12
8.8%
30만원~50만원미만 10
7.4%
5백만원~1천만원미만 10
7.4%
1천만원~3천만원미만 9
6.6%
3천만원~5천만원미만 6
 
4.4%
Other values (5) 18
13.2%

체납건수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
120 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 120
100.0%

Length

2023-12-13T05:19:41.325899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:41.453859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 120
100.0%

체납금액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
120 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 120
100.0%

Length

2023-12-13T05:19:41.585589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:41.693655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 120
100.0%

누적체납건수
Real number (ℝ)

Distinct87
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286.25833
Minimum1
Maximum3079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T05:19:41.832319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q113
median44
Q3217.5
95-th percentile1907.75
Maximum3079
Range3078
Interquartile range (IQR)204.5

Descriptive statistics

Standard deviation618.46474
Coefficient of variation (CV)2.1605126
Kurtosis9.9422082
Mean286.25833
Median Absolute Deviation (MAD)40
Skewness3.1865031
Sum34351
Variance382498.63
MonotonicityNot monotonic
2023-12-13T05:19:42.042404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5
 
4.2%
8 4
 
3.3%
18 3
 
2.5%
3 3
 
2.5%
4 3
 
2.5%
32 3
 
2.5%
1 2
 
1.7%
19 2
 
1.7%
21 2
 
1.7%
138 2
 
1.7%
Other values (77) 91
75.8%
ValueCountFrequency (%)
1 2
 
1.7%
2 5
4.2%
3 3
2.5%
4 3
2.5%
5 1
 
0.8%
6 2
 
1.7%
7 2
 
1.7%
8 4
3.3%
9 2
 
1.7%
10 2
 
1.7%
ValueCountFrequency (%)
3079 1
0.8%
3031 1
0.8%
2755 1
0.8%
2540 1
0.8%
2251 1
0.8%
2074 1
0.8%
1899 1
0.8%
1391 1
0.8%
1079 1
0.8%
1057 1
0.8%

누적체납금액
Real number (ℝ)

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2611539 × 108
Minimum718370
Maximum1.3330298 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T05:19:42.206592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum718370
5-th percentile6896536
Q133334145
median1.1889012 × 108
Q34.4841988 × 108
95-th percentile2.1973872 × 109
Maximum1.3330298 × 1010
Range1.3329579 × 1010
Interquartile range (IQR)4.1508574 × 108

Descriptive statistics

Standard deviation1.8183828 × 109
Coefficient of variation (CV)2.9042295
Kurtosis31.385768
Mean6.2611539 × 108
Median Absolute Deviation (MAD)1.0908134 × 108
Skewness5.4106121
Sum7.5133847 × 1010
Variance3.3065159 × 1018
MonotonicityNot monotonic
2023-12-13T05:19:42.404403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5373230 1
 
0.8%
519214640 1
 
0.8%
153509190 1
 
0.8%
308609880 1
 
0.8%
3014219310 1
 
0.8%
258896430 1
 
0.8%
127376900 1
 
0.8%
863350780 1
 
0.8%
424376870 1
 
0.8%
553709730 1
 
0.8%
Other values (110) 110
91.7%
ValueCountFrequency (%)
718370 1
0.8%
1758510 1
0.8%
2058610 1
0.8%
2353310 1
0.8%
5086410 1
0.8%
5373230 1
0.8%
6976710 1
0.8%
7372040 1
0.8%
8070370 1
0.8%
8563200 1
0.8%
ValueCountFrequency (%)
13330297840 1
0.8%
10841550400 1
0.8%
9248148310 1
0.8%
3476508160 1
0.8%
3312550680 1
0.8%
3014219310 1
0.8%
2154396080 1
0.8%
1681569000 1
0.8%
1642179000 1
0.8%
1430549370 1
0.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2019-12-31
120 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-31
2nd row2019-12-31
3rd row2019-12-31
4th row2019-12-31
5th row2019-12-31

Common Values

ValueCountFrequency (%)
2019-12-31 120
100.0%

Length

2023-12-13T05:19:42.572578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:42.998227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-31 120
100.0%

Interactions

2023-12-13T05:19:39.236355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:19:39.026508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:19:39.341928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:19:39.134448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:19:43.072226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명체납액구간누적체납건수누적체납금액
과세년도1.0000.0000.0000.1340.047
세목명0.0001.0000.1060.4810.000
체납액구간0.0000.1061.0000.1190.747
누적체납건수0.1340.4810.1191.0000.000
누적체납금액0.0470.0000.7470.0001.000
2023-12-13T05:19:43.184796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도체납액구간세목명
과세년도1.0000.0000.000
체납액구간0.0001.0000.039
세목명0.0000.0391.000
2023-12-13T05:19:43.294112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
누적체납건수누적체납금액과세년도세목명체납액구간
누적체납건수1.000-0.0660.0520.2580.038
누적체납금액-0.0661.0000.0000.0000.472
과세년도0.0520.0001.0000.0000.000
세목명0.2580.0000.0001.0000.039
체납액구간0.0380.4720.0000.0391.000

Missing values

2023-12-13T05:19:39.500892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:19:39.690984image/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
0제주특별자치도제주특별자치도500002017등록면허세10만원 미만0025353732302019-12-31
1제주특별자치도제주특별자치도500002017자동차세10만원 미만001899755206702019-12-31
2제주특별자치도제주특별자치도500002017자동차세10만원~30만원미만0020743771480602019-12-31
3제주특별자치도제주특별자치도500002017자동차세30만원~50만원미만00219729052302019-12-31
4제주특별자치도제주특별자치도500002017자동차세50만원~1백만원미만0049313259902019-12-31
5제주특별자치도제주특별자치도500002017재산세10만원 미만00691325782202019-12-31
6제주특별자치도제주특별자치도500002017재산세10만원~30만원미만00490846210202019-12-31
7제주특별자치도제주특별자치도500002017재산세1백만원~3백만원미만001152105468002019-12-31
8제주특별자치도제주특별자치도500002017재산세1억원~3억원미만0048643530902019-12-31
9제주특별자치도제주특별자치도500002017재산세1천만원~3천만원미만00244326878502019-12-31
시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액데이터기준일자
110제주특별자치도제주특별자치도500002019취득세10만원 미만00187183702019-12-31
111제주특별자치도제주특별자치도500002019취득세10만원~30만원미만001117585102019-12-31
112제주특별자치도제주특별자치도500002019취득세1백만원~3백만원미만0027505556302019-12-31
113제주특별자치도제주특별자치도500002019취득세1천만원~3천만원미만00142362503702019-12-31
114제주특별자치도제주특별자치도500002019취득세3백만원~5백만원미만0023881833602019-12-31
115제주특별자치도제주특별자치도500002019취득세3억원~5억원미만0013051917802019-12-31
116제주특별자치도제주특별자치도500002019취득세3천만원~5천만원미만002702936802019-12-31
117제주특별자치도제주특별자치도500002019취득세50만원~1백만원미만0014105083602019-12-31
118제주특별자치도제주특별자치도500002019취득세5백만원~1천만원미만00302141944902019-12-31
119제주특별자치도제주특별자치도500002019취득세5천만원~1억원미만0074951721902019-12-31