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

Description부산광역시부산진구_지방세체납현황_20211231
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15079289

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 누적체납건수 and 1 other fieldsHigh correlation
체납금액 is highly overall correlated with 누적체납금액High correlation
누적체납건수 is highly overall correlated with 체납건수 and 1 other fieldsHigh correlation
누적체납금액 is highly overall correlated with 체납건수 and 2 other fieldsHigh correlation
체납금액 has unique valuesUnique
누적체납금액 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:16:41.199932
Analysis finished2023-12-10 17:16:47.730800
Duration6.53 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
부산광역시
41 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 41
100.0%

Length

2023-12-11T02:16:47.897879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:16:48.138448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 41
100.0%

시군구명
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산진구 41
100.0%

Length

2023-12-11T02:16:48.399716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:16:48.660719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산진구 41
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
26230
41 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26230
2nd row26230
3rd row26230
4th row26230
5th row26230

Common Values

ValueCountFrequency (%)
26230 41
100.0%

Length

2023-12-11T02:16:48.888936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:16:49.112823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26230 41
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2021
41 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 41
100.0%

Length

2023-12-11T02:16:49.343005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:16:49.561888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 41
100.0%

세목명
Categorical

Distinct7
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
지방소득세
10 
취득세
10 
재산세
8 
주민세
5 
자동차세
4 
Other values (2)
4 

Length

Max length7
Median length3
Mean length3.8780488
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지방소득세 10
24.4%
취득세 10
24.4%
재산세 8
19.5%
주민세 5
12.2%
자동차세 4
 
9.8%
등록면허세 2
 
4.9%
지역자원시설세 2
 
4.9%

Length

2023-12-11T02:16:49.828039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:16:50.127206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방소득세 10
24.4%
취득세 10
24.4%
재산세 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 
10만원~30만원미만
7 
30만원~50만원미만
5 
50만원~1백만원미만
5 
1백만원~3백만원미만
4 
Other values (6)
13 

Length

Max length11
Median length11
Mean length10.243902
Min length7

Unique

Unique2 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
10만원 미만 7
17.1%
10만원~30만원미만 7
17.1%
30만원~50만원미만 5
12.2%
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%
3천만원~5천만원미만 2
 
4.9%
5천만원~1억원미만 1
 
2.4%

Length

2023-12-11T02:16:50.474735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10만원 7
14.6%
미만 7
14.6%
10만원~30만원미만 7
14.6%
30만원~50만원미만 5
10.4%
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%
3천만원~5천만원미만 2
 
4.2%
Other values (2) 2
 
4.2%

체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1006.4634
Minimum1
Maximum20460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T02:16:50.781885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median19
Q3157
95-th percentile3531
Maximum20460
Range20459
Interquartile range (IQR)151

Descriptive statistics

Standard deviation3374.5309
Coefficient of variation (CV)3.3528599
Kurtosis29.092593
Mean1006.4634
Median Absolute Deviation (MAD)17
Skewness5.1576928
Sum41265
Variance11387459
MonotonicityNot monotonic
2023-12-11T02:16:51.029443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 3
 
7.3%
1 3
 
7.3%
10 3
 
7.3%
2 3
 
7.3%
7 2
 
4.9%
6 2
 
4.9%
157 1
 
2.4%
14 1
 
2.4%
141 1
 
2.4%
44 1
 
2.4%
Other values (21) 21
51.2%
ValueCountFrequency (%)
1 3
7.3%
2 3
7.3%
3 3
7.3%
6 2
4.9%
7 2
4.9%
10 3
7.3%
11 1
 
2.4%
12 1
 
2.4%
13 1
 
2.4%
14 1
 
2.4%
ValueCountFrequency (%)
20460 1
2.4%
6655 1
2.4%
3531 1
2.4%
3063 1
2.4%
2525 1
2.4%
1973 1
2.4%
1269 1
2.4%
471 1
2.4%
252 1
2.4%
170 1
2.4%

체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.067029 × 108
Minimum313890
Maximum5.3740551 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T02:16:51.299544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum313890
5-th percentile471770
Q19156170
median64711790
Q31.2297578 × 108
95-th percentile3.939071 × 108
Maximum5.3740551 × 108
Range5.3709162 × 108
Interquartile range (IQR)1.1381961 × 108

Descriptive statistics

Standard deviation1.337076 × 108
Coefficient of variation (CV)1.2530831
Kurtosis2.7748476
Mean1.067029 × 108
Median Absolute Deviation (MAD)57275900
Skewness1.7793692
Sum4.3748189 × 109
Variance1.7877722 × 1016
MonotonicityNot monotonic
2023-12-11T02:16:51.645639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
45570000 1
 
2.4%
471770 1
 
2.4%
55012780 1
 
2.4%
168769550 1
 
2.4%
35296610 1
 
2.4%
121987690 1
 
2.4%
141120880 1
 
2.4%
82202500 1
 
2.4%
313890 1
 
2.4%
512530 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
313890 1
2.4%
460590 1
2.4%
471770 1
2.4%
512530 1
2.4%
723950 1
2.4%
1958670 1
2.4%
4657960 1
2.4%
4685260 1
2.4%
5710490 1
2.4%
8521320 1
2.4%
ValueCountFrequency (%)
537405510 1
2.4%
475339660 1
2.4%
393907100 1
2.4%
339535880 1
2.4%
282446900 1
2.4%
257320680 1
2.4%
250101330 1
2.4%
168769550 1
2.4%
151293570 1
2.4%
141120880 1
2.4%

누적체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2593.8537
Minimum1
Maximum58223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T02:16:52.059495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median33
Q3375
95-th percentile9514
Maximum58223
Range58222
Interquartile range (IQR)368

Descriptive statistics

Standard deviation9435.8335
Coefficient of variation (CV)3.6377663
Kurtosis31.968635
Mean2593.8537
Median Absolute Deviation (MAD)30
Skewness5.4517446
Sum106348
Variance89034954
MonotonicityNot monotonic
2023-12-11T02:16:52.389084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3 4
 
9.8%
26 4
 
9.8%
6 2
 
4.9%
18 2
 
4.9%
1 2
 
4.9%
47 1
 
2.4%
281 1
 
2.4%
72 1
 
2.4%
419 1
 
2.4%
2915 1
 
2.4%
Other values (22) 22
53.7%
ValueCountFrequency (%)
1 2
4.9%
2 1
 
2.4%
3 4
9.8%
5 1
 
2.4%
6 2
4.9%
7 1
 
2.4%
8 1
 
2.4%
13 1
 
2.4%
14 1
 
2.4%
18 2
4.9%
ValueCountFrequency (%)
58223 1
2.4%
15298 1
2.4%
9514 1
2.4%
9017 1
2.4%
4164 1
2.4%
3752 1
2.4%
2915 1
2.4%
937 1
2.4%
419 1
2.4%
400 1
2.4%

누적체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9621955 × 108
Minimum460590
Maximum1.6280065 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T02:16:52.716599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum460590
5-th percentile809210
Q116860660
median1.0160607 × 108
Q31.7037645 × 108
95-th percentile6.460218 × 108
Maximum1.6280065 × 109
Range1.627546 × 109
Interquartile range (IQR)1.5351579 × 108

Descriptive statistics

Standard deviation3.1932818 × 108
Coefficient of variation (CV)1.6274024
Kurtosis11.055761
Mean1.9621955 × 108
Median Absolute Deviation (MAD)84745410
Skewness3.123619
Sum8.0450016 × 109
Variance1.0197048 × 1017
MonotonicityNot monotonic
2023-12-11T02:16:53.058222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
103904340 1
 
2.4%
1548900 1
 
2.4%
112146140 1
 
2.4%
271340400 1
 
2.4%
35296610 1
 
2.4%
297751100 1
 
2.4%
167770690 1
 
2.4%
82202500 1
 
2.4%
779090 1
 
2.4%
809210 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
460590 1
2.4%
779090 1
2.4%
809210 1
2.4%
1548900 1
2.4%
2867140 1
2.4%
6388380 1
2.4%
6731730 1
2.4%
9156170 1
2.4%
12651530 1
2.4%
15485030 1
2.4%
ValueCountFrequency (%)
1628006540 1
2.4%
1149810200 1
2.4%
646021800 1
2.4%
578359070 1
2.4%
449616810 1
2.4%
388913870 1
2.4%
339535880 1
2.4%
297751100 1
2.4%
271340400 1
2.4%
250101330 1
2.4%

Interactions

2023-12-11T02:16:45.649661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:41.953537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:43.177565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:44.337213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:46.070695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:42.198665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:43.420613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:44.631246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:46.362921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:42.487183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:43.704252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:44.995169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:46.675103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:42.819399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:44.046619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:16:45.292979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:16:53.299823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명체납액구간체납건수체납금액누적체납건수누적체납금액
세목명1.0000.0000.3630.3330.4800.407
체납액구간0.0001.0000.0000.3920.0000.000
체납건수0.3630.0001.0000.9810.9980.919
체납금액0.3330.3920.9811.0000.9630.946
누적체납건수0.4800.0000.9980.9631.0000.926
누적체납금액0.4070.0000.9190.9460.9261.000
2023-12-11T02:16:53.550783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납액구간세목명
체납액구간1.0000.000
세목명0.0001.000
2023-12-11T02:16:53.756776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납건수체납금액누적체납건수누적체납금액세목명체납액구간
체납건수1.0000.4930.9760.6410.2390.000
체납금액0.4931.0000.3860.9660.1770.159
누적체납건수0.9760.3861.0000.5580.3300.000
누적체납금액0.6410.9660.5581.0000.2570.000
세목명0.2390.1770.3300.2571.0000.000
체납액구간0.0000.1590.0000.0000.0001.000

Missing values

2023-12-11T02:16:47.109764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:16:47.541357image/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
0부산광역시부산진구262302021등록면허세10만원 미만1269455700002915103904340
1부산광역시부산진구262302021등록면허세10만원~30만원미만34605903460590
2부산광역시부산진구262302021자동차세10만원 미만35311512935709017388913870
3부산광역시부산진구262302021자동차세10만원~30만원미만306353740551095141628006540
4부산광역시부산진구262302021자동차세30만원~50만원미만14952914520375130683540
5부산광역시부산진구262302021자동차세50만원~1백만원미만1057104902615485030
6부산광역시부산진구262302021재산세10만원 미만665528244690015298578359070
7부산광역시부산진구262302021재산세10만원~30만원미만25253939071004164646021800
8부산광역시부산진구262302021재산세1백만원~3백만원미만6111271770095170376450
9부산광역시부산진구262302021재산세1천만원~3천만원미만61016060706101606070
시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액
31부산광역시부산진구262302021취득세10만원 미만11471770361548900
32부산광역시부산진구262302021취득세10만원~30만원미만121958670356388380
33부산광역시부산진구262302021취득세1백만원~3백만원미만10149591702646177140
34부산광역시부산진구262302021취득세1억원~3억원미만23395358802339535880
35부산광역시부산진구262302021취득세1천만원~3천만원미만71181833507118183350
36부산광역시부산진구262302021취득세30만원~50만원미만272395082867140
37부산광역시부산진구262302021취득세3백만원~5백만원미만312196700520262880
38부산광역시부산진구262302021취득세3천만원~5천만원미만31229757803122975780
39부산광역시부산진구262302021취득세50만원~1백만원미만746579601812651530
40부산광역시부산진구262302021취득세5백만원~1천만원미만19297600321970770