Overview

Dataset statistics

Number of variables8
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory73.1 B

Variable types

Categorical5
Text1
Numeric2

Dataset

Description경기도 과천시의 지방세 과세를 위해 세원이 되는 과세 대상 유형별 부과된 현황으로 세목명, 세목유형명, 부과건수, 부과금액 등을 제공합니다.
URLhttps://www.data.go.kr/data/15078736/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
과세년도 has constant value ""Constant
부과건수 is highly overall correlated with 부과금액High correlation
부과금액 is highly overall correlated with 부과건수High correlation

Reproduction

Analysis started2023-12-12 13:37:46.734542
Analysis finished2023-12-12 13:37:47.691451
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
경기도
26 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 26
100.0%

Length

2023-12-12T22:37:47.793977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:37:47.922283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 26
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
과천시
26 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
과천시 26
100.0%

Length

2023-12-12T22:37:48.055546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:37:48.157962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
과천시 26
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
41290
26 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41290
2nd row41290
3rd row41290
4th row41290
5th row41290

Common Values

ValueCountFrequency (%)
41290 26
100.0%

Length

2023-12-12T22:37:48.259206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:37:48.362896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41290 26
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2022
26 

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 26
100.0%

Length

2023-12-12T22:37:48.475071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:37:48.585060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 26
100.0%

세목명
Categorical

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
취득세
5 
자동차세
4 
지방소득세
4 
주민세
3 
재산세
3 
Other values (6)
7 

Length

Max length7
Median length6
Mean length3.9230769
Min length3

Unique

Unique5 ?
Unique (%)19.2%

Sample

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

Common Values

ValueCountFrequency (%)
취득세 5
19.2%
자동차세 4
15.4%
지방소득세 4
15.4%
주민세 3
11.5%
재산세 3
11.5%
등록면허세 2
 
7.7%
등록세 1
 
3.8%
레저세 1
 
3.8%
담배소비세 1
 
3.8%
지방소비세 1
 
3.8%

Length

2023-12-12T22:37:48.709368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 5
19.2%
자동차세 4
15.4%
지방소득세 4
15.4%
주민세 3
11.5%
재산세 3
11.5%
등록면허세 2
 
7.7%
등록세 1
 
3.8%
레저세 1
 
3.8%
담배소비세 1
 
3.8%
지방소비세 1
 
3.8%

세원 유형명
Text

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T22:37:48.932113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.8846154
Min length2

Characters and Unicode

Total characters75
Distinct characters47
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)76.9%

Sample

1st row부동산
2nd row차량
3rd row이륜차
4th row기계장비
5th row선박
ValueCountFrequency (%)
이륜차 2
 
7.4%
기계장비 2
 
7.4%
등록세 2
 
7.4%
경마 1
 
3.7%
부동산 1
 
3.7%
주행 1
 
3.7%
법인 1
 
3.7%
양도 1
 
3.7%
종합 1
 
3.7%
특자 1
 
3.7%
Other values (14) 14
51.9%
2023-12-12T22:37:49.587559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
차 4
 
5.3%
세 4
 
5.3%
비 4
 
5.3%
륜 3
 
4.0%
소 3
 
4.0%
이 2
 
2.7%
인 2
 
2.7%
동 2
 
2.7%
자 2
 
2.7%
특 2
 
2.7%
Other values (37) 47
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73
97.3%
Space Separator 1
 
1.3%
Other Punctuation 1
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 4
 
5.5%
세 4
 
5.5%
비 4
 
5.5%
륜 3
 
4.1%
소 3
 
4.1%
이 2
 
2.7%
인 2
 
2.7%
동 2
 
2.7%
자 2
 
2.7%
특 2
 
2.7%
Other values (35) 45
61.6%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73
97.3%
Common 2
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 4
 
5.5%
세 4
 
5.5%
비 4
 
5.5%
륜 3
 
4.1%
소 3
 
4.1%
이 2
 
2.7%
인 2
 
2.7%
동 2
 
2.7%
자 2
 
2.7%
특 2
 
2.7%
Other values (35) 45
61.6%
Common
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73
97.3%
ASCII 2
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
차 4
 
5.5%
세 4
 
5.5%
비 4
 
5.5%
륜 3
 
4.1%
소 3
 
4.1%
이 2
 
2.7%
인 2
 
2.7%
동 2
 
2.7%
자 2
 
2.7%
특 2
 
2.7%
Other values (35) 45
61.6%
ASCII
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

부과건수
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9075.1923
Minimum2
Maximum59345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:37:49.750153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q129.75
median3241.5
Q37884.5
95-th percentile39740.75
Maximum59345
Range59343
Interquartile range (IQR)7854.75

Descriptive statistics

Standard deviation14915.667
Coefficient of variation (CV)1.6435648
Kurtosis4.8238834
Mean9075.1923
Median Absolute Deviation (MAD)3232.5
Skewness2.22147
Sum235955
Variance2.2247711 × 108
MonotonicityNot monotonic
2023-12-12T22:37:49.875238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3 2
 
7.7%
6317 1
 
3.8%
2 1
 
3.8%
19356 1
 
3.8%
2484 1
 
3.8%
3999 1
 
3.8%
21074 1
 
3.8%
7655 1
 
3.8%
16674 1
 
3.8%
7 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
2 1
3.8%
3 2
7.7%
6 1
3.8%
7 1
3.8%
11 1
3.8%
12 1
3.8%
83 1
3.8%
282 1
3.8%
299 1
3.8%
635 1
3.8%
ValueCountFrequency (%)
59345 1
3.8%
42189 1
3.8%
32396 1
3.8%
21074 1
3.8%
19356 1
3.8%
16674 1
3.8%
7961 1
3.8%
7655 1
3.8%
6317 1
3.8%
5768 1
3.8%

부과금액
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1981029 × 1010
Minimum85060
Maximum2.2537448 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:37:50.021031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85060
5-th percentile876735
Q185521035
median2.2421446 × 109
Q31.0927989 × 1010
95-th percentile1.4731372 × 1011
Maximum2.2537448 × 1011
Range2.253744 × 1011
Interquartile range (IQR)1.0842468 × 1010

Descriptive statistics

Standard deviation5.4703755 × 1010
Coefficient of variation (CV)2.4886804
Kurtosis9.8497259
Mean2.1981029 × 1010
Median Absolute Deviation (MAD)2.2419701 × 109
Skewness3.2271207
Sum5.7150674 × 1011
Variance2.9925008 × 1021
MonotonicityNot monotonic
2023-12-12T22:37:50.151998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
276374200 2
 
7.7%
179557060020 1
 
3.8%
2061191450 1
 
3.8%
17885702230 1
 
3.8%
9603878150 1
 
3.8%
25393118730 1
 
3.8%
11369359190 1
 
3.8%
85060 1
 
3.8%
199955120 1
 
3.8%
4982351250 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
85060 1
3.8%
264090 1
3.8%
2714670 1
3.8%
3592670 1
3.8%
3820570 1
3.8%
10252940 1
3.8%
47376340 1
3.8%
199955120 1
3.8%
276374200 2
7.7%
407436890 1
3.8%
ValueCountFrequency (%)
225374484880 1
3.8%
179557060020 1
3.8%
50583711140 1
3.8%
25393118730 1
3.8%
20943706760 1
3.8%
17885702230 1
3.8%
11369359190 1
3.8%
9603878150 1
3.8%
7098225250 1
3.8%
6839008260 1
3.8%

Interactions

2023-12-12T22:37:47.142210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:37:46.927464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:37:47.241412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:37:47.046195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:37:50.235727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명세원 유형명부과건수부과금액
세목명1.0000.8290.0000.620
세원 유형명0.8291.0000.8891.000
부과건수0.0000.8891.0000.506
부과금액0.6201.0000.5061.000
2023-12-12T22:37:50.332740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수부과금액세목명
부과건수1.0000.6020.000
부과금액0.6021.0000.157
세목명0.0000.1571.000

Missing values

2023-12-12T22:37:47.375211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:37:47.611924image/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

시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액
0경기도과천시412902022취득세부동산6317179557060020
1경기도과천시412902022취득세차량43037098225250
2경기도과천시412902022취득세이륜차28247376340
3경기도과천시412902022취득세기계장비1110252940
4경기도과천시412902022취득세선박33592670
5경기도과천시412902022등록세등록세62714670
6경기도과천시412902022주민세개인32396276374200
7경기도과천시412902022주민세종업원833276374200
8경기도과천시412902022주민세사업소5768407436890
9경기도과천시412902022재산세주택5934550583711140
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액
16경기도과천시412902022레저세경마, 경륜83225374484880
17경기도과천시412902022담배소비세담배소비세6352423097830
18경기도과천시412902022지방소비세지방소비세74727424780
19경기도과천시412902022등록면허세등록세166744982351250
20경기도과천시412902022등록면허세면허7655199955120
21경기도과천시412902022지역자원시설세특자385060
22경기도과천시412902022지방소득세종합2107411369359190
23경기도과천시412902022지방소득세양도399925393118730
24경기도과천시412902022지방소득세법인24849603878150
25경기도과천시412902022지방소득세특별1935617885702230