Overview

Dataset statistics

Number of variables10
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory88.8 B

Variable types

Categorical6
Numeric4

Dataset

Description체납액 규모별 체납 건수를 납세자 유형별로 제공하는 데이터로, 체납 정책 수립시 지방세 체납 현황을 기초자료로 활용합니다.
URLhttps://www.data.go.kr/data/15080080/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 23:23:51.130916
Analysis finished2023-12-12 23:23:53.188607
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
제주특별자치도
47 

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 47
100.0%

Length

2023-12-13T08:23:53.251395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:53.337349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 47
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
서귀포시
47 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서귀포시 47
100.0%

Length

2023-12-13T08:23:53.419097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:53.494659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시 47
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
50130
47 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50130
2nd row50130
3rd row50130
4th row50130
5th row50130

Common Values

ValueCountFrequency (%)
50130 47
100.0%

Length

2023-12-13T08:23:53.595490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:53.695765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50130 47
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
2021
47 

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 47
100.0%

Length

2023-12-13T08:23:53.792572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:53.872867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 47
100.0%

세목명
Categorical

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size508.0 B
지방소득세
11 
취득세
10 
재산세
10 
등록면허세
6 
주민세
6 

Length

Max length5
Median length3
Mean length3.8085106
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지방소득세 11
23.4%
취득세 10
21.3%
재산세 10
21.3%
등록면허세 6
12.8%
주민세 6
12.8%
자동차세 4
 
8.5%

Length

2023-12-13T08:23:53.987187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:54.107375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방소득세 11
23.4%
취득세 10
21.3%
재산세 10
21.3%
등록면허세 6
12.8%
주민세 6
12.8%
자동차세 4
 
8.5%

체납액구간
Categorical

Distinct12
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
10만원~30만원미만
6 
30만원~50만원미만
6 
10만원 미만
6 
50만원~1백만원미만
5 
1백만원~3백만원미만
4 
Other values (7)
20 

Length

Max length11
Median length11
Mean length10.319149
Min length7

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row10만원~30만원미만
2nd row1백만원~3백만원미만
3rd row1억원~3억원미만
4th row1천만원~3천만원미만
5th row30만원~50만원미만

Common Values

ValueCountFrequency (%)
10만원~30만원미만 6
12.8%
30만원~50만원미만 6
12.8%
10만원 미만 6
12.8%
50만원~1백만원미만 5
10.6%
1백만원~3백만원미만 4
8.5%
1천만원~3천만원미만 4
8.5%
3백만원~5백만원미만 4
8.5%
3천만원~5천만원미만 4
8.5%
5백만원~1천만원미만 3
6.4%
1억원~3억원미만 2
 
4.3%
Other values (2) 3
6.4%

Length

2023-12-13T08:23:54.303322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10만원~30만원미만 6
11.3%
30만원~50만원미만 6
11.3%
10만원 6
11.3%
미만 6
11.3%
50만원~1백만원미만 5
9.4%
1백만원~3백만원미만 4
7.5%
1천만원~3천만원미만 4
7.5%
3백만원~5백만원미만 4
7.5%
3천만원~5천만원미만 4
7.5%
5백만원~1천만원미만 3
5.7%
Other values (3) 5
9.4%

체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean579.70213
Minimum1
Maximum8687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-13T08:23:54.437148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median19
Q391.5
95-th percentile4056.6
Maximum8687
Range8686
Interquartile range (IQR)88.5

Descriptive statistics

Standard deviation1669.859
Coefficient of variation (CV)2.8805467
Kurtosis13.949138
Mean579.70213
Median Absolute Deviation (MAD)18
Skewness3.6645547
Sum27246
Variance2788429.2
MonotonicityNot monotonic
2023-12-13T08:23:54.546959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 7
 
14.9%
3 6
 
12.8%
25 3
 
6.4%
2 2
 
4.3%
4 2
 
4.3%
8 2
 
4.3%
13 2
 
4.3%
28 1
 
2.1%
89 1
 
2.1%
7 1
 
2.1%
Other values (20) 20
42.6%
ValueCountFrequency (%)
1 7
14.9%
2 2
 
4.3%
3 6
12.8%
4 2
 
4.3%
7 1
 
2.1%
8 2
 
4.3%
9 1
 
2.1%
13 2
 
4.3%
19 1
 
2.1%
21 1
 
2.1%
ValueCountFrequency (%)
8687 1
2.1%
5846 1
2.1%
4617 1
2.1%
2749 1
2.1%
2023 1
2.1%
842 1
2.1%
565 1
2.1%
405 1
2.1%
369 1
2.1%
228 1
2.1%

체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4618164 × 108
Minimum108000
Maximum1.2938004 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-13T08:23:54.673206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum108000
5-th percentile1482176
Q113100920
median53000650
Q31.7141063 × 108
95-th percentile4.841131 × 108
Maximum1.2938004 × 109
Range1.2936924 × 109
Interquartile range (IQR)1.5830971 × 108

Descriptive statistics

Standard deviation2.3745774 × 108
Coefficient of variation (CV)1.6244019
Kurtosis12.103621
Mean1.4618164 × 108
Median Absolute Deviation (MAD)49501610
Skewness3.1528716
Sum6.8705371 × 109
Variance5.6386178 × 1016
MonotonicityNot monotonic
2023-12-13T08:23:55.107189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5033330 1
 
2.1%
35664050 1
 
2.1%
46224670 1
 
2.1%
251335930 1
 
2.1%
175155750 1
 
2.1%
117655120 1
 
2.1%
5949900 1
 
2.1%
15070550 1
 
2.1%
2483330 1
 
2.1%
3499040 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
108000 1
2.1%
347620 1
2.1%
1053110 1
2.1%
2483330 1
2.1%
3183590 1
2.1%
3499040 1
2.1%
3657350 1
2.1%
5033330 1
2.1%
5868320 1
2.1%
5949900 1
2.1%
ValueCountFrequency (%)
1293800440 1
2.1%
804653460 1
2.1%
490989380 1
2.1%
468068450 1
2.1%
420246070 1
2.1%
385249730 1
2.1%
339229600 1
2.1%
251335930 1
2.1%
210127250 1
2.1%
195661150 1
2.1%

누적체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1464.5745
Minimum1
Maximum22106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-13T08:23:55.233471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median25
Q3261.5
95-th percentile8358.9
Maximum22106
Range22105
Interquartile range (IQR)258.5

Descriptive statistics

Standard deviation4356.7625
Coefficient of variation (CV)2.9747634
Kurtosis14.087431
Mean1464.5745
Median Absolute Deviation (MAD)24
Skewness3.7056209
Sum68835
Variance18981380
MonotonicityNot monotonic
2023-12-13T08:23:55.339772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 6
 
12.8%
3 6
 
12.8%
4 3
 
6.4%
15 2
 
4.3%
67 1
 
2.1%
202 1
 
2.1%
76 1
 
2.1%
12 1
 
2.1%
13 1
 
2.1%
1238 1
 
2.1%
Other values (24) 24
51.1%
ValueCountFrequency (%)
1 6
12.8%
2 1
 
2.1%
3 6
12.8%
4 3
6.4%
10 1
 
2.1%
12 1
 
2.1%
13 1
 
2.1%
15 2
 
4.3%
21 1
 
2.1%
22 1
 
2.1%
ValueCountFrequency (%)
22106 1
2.1%
17432 1
2.1%
8409 1
2.1%
8242 1
2.1%
5995 1
2.1%
2039 1
2.1%
1238 1
2.1%
538 1
2.1%
535 1
2.1%
483 1
2.1%

누적체납금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0725623 × 108
Minimum321210
Maximum1.3897495 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-13T08:23:55.484663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum321210
5-th percentile3712919
Q123691350
median89523110
Q32.4972636 × 108
95-th percentile8.6858614 × 108
Maximum1.3897495 × 109
Range1.3894283 × 109
Interquartile range (IQR)2.2603502 × 108

Descriptive statistics

Standard deviation3.1225602 × 108
Coefficient of variation (CV)1.5066182
Kurtosis6.8496286
Mean2.0725623 × 108
Median Absolute Deviation (MAD)82128020
Skewness2.5638973
Sum9.741043 × 109
Variance9.7503821 × 1016
MonotonicityNot monotonic
2023-12-13T08:23:55.630506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
11861510 1
 
2.1%
60780160 1
 
2.1%
46224670 1
 
2.1%
366717630 1
 
2.1%
175155750 1
 
2.1%
252422100 1
 
2.1%
14443360 1
 
2.1%
26255780 1
 
2.1%
4211970 1
 
2.1%
3499040 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
321210 1
2.1%
347620 1
2.1%
3499040 1
2.1%
4211970 1
2.1%
5363370 1
2.1%
6607170 1
2.1%
8151520 1
2.1%
8935270 1
2.1%
11861510 1
2.1%
14443360 1
2.1%
ValueCountFrequency (%)
1389749470 1
2.1%
1293800440 1
2.1%
1030413320 1
2.1%
490989380 1
2.1%
482097400 1
2.1%
462833890 1
2.1%
457837670 1
2.1%
420246070 1
2.1%
366717630 1
2.1%
345368340 1
2.1%

Interactions

2023-12-13T08:23:52.507962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:51.394217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:51.735828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:52.114115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:52.595075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:51.473769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:51.818571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:52.224128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:52.688812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:51.559589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:51.922905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:52.338961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:52.801820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:51.652905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:52.013038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:52.423969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:23:55.756056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명체납액구간체납건수체납금액누적체납건수누적체납금액
세목명1.0000.0000.5730.6230.4400.450
체납액구간0.0001.0000.0000.8560.0000.656
체납건수0.5730.0001.0000.8631.0000.918
체납금액0.6230.8560.8631.0000.6450.968
누적체납건수0.4400.0001.0000.6451.0000.721
누적체납금액0.4500.6560.9180.9680.7211.000
2023-12-13T08:23:55.858214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납액구간세목명
체납액구간1.0000.000
세목명0.0001.000
2023-12-13T08:23:55.954425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체납건수체납금액누적체납건수누적체납금액세목명체납액구간
체납건수1.0000.2990.9870.4730.2330.000
체납금액0.2991.0000.2070.9650.2690.462
누적체납건수0.9870.2071.0000.3970.3100.000
누적체납금액0.4730.9650.3971.0000.1820.275
세목명0.2330.2690.3100.1821.0000.000
체납액구간0.0000.4620.0000.2750.0001.000

Missing values

2023-12-13T08:23:52.975328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:23:53.132186image/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
0제주특별자치도서귀포시501302021취득세10만원~30만원미만2850333306711861510
1제주특별자치도서귀포시501302021취득세1백만원~3백만원미만25356640504160780160
2제주특별자치도서귀포시501302021취득세1억원~3억원미만24202460702420246070
3제주특별자치도서귀포시501302021취득세1천만원~3천만원미만496430960496430960
4제주특별자치도서귀포시501302021취득세30만원~50만원미만83183590218151520
5제주특별자치도서귀포시501302021취득세3백만원~5백만원미만311336980414583320
6제주특별자치도서귀포시501302021취득세3천만원~5천만원미만133280390133280390
7제주특별자치도서귀포시501302021취득세50만원~1백만원미만1391876403121126920
8제주특별자치도서귀포시501302021취득세5백만원~1천만원미만429106940429106940
9제주특별자치도서귀포시501302021등록면허세10만원 미만84214864860203936719780
시도명시군구명자치단체코드과세년도세목명체납액구간체납건수체납금액누적체납건수누적체납금액
37제주특별자치도서귀포시501302021지방소득세1백만원~3백만원미만89151350850202330468690
38제주특별자치도서귀포시501302021지방소득세1억원~3억원미만34909893803490989380
39제주특별자치도서귀포시501302021지방소득세1천만원~3천만원미만2546806845026482097400
40제주특별자치도서귀포시501302021지방소득세30만원~50만원미만692686844017168893240
41제주특별자치도서귀포시501302021지방소득세3백만원~5백만원미만217930367030110809310
42제주특별자치도서귀포시501302021지방소득세3천만원~5천만원미만397064410397064410
43제주특별자치도서귀포시501302021지방소득세50만원~1백만원미만8056559010246171651130
44제주특별자치도서귀포시501302021지방소득세5백만원~1천만원미만1912513023022150843030
45제주특별자치도서귀포시501302021지방소득세5천만원~1억원미만31956611503195661150
46제주특별자치도서귀포시501302021취득세10만원 미만7936573501496607170