gimi9 Pandas Profiling

Dataset statistics

Number of variables	12
Number of observations	50
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.3 KiB
Average record size in memory	108.6 B

Variable types

Categorical	1
Numeric	10
DateTime	1

Dataset

Description	광주광역시 자치구(동,서,남,북,광산구)의 자동차 및 시설물에 대한 연도별 환경개선부담금 부과건수, 부과금액, 징수금액 등의 정보입니다.
Author	광주광역시
URL	https://www.data.go.kr/data/15106716/fileData.do

Alerts

`데이터기준일` has constant value ""	Constant
`부과년도` is highly overall correlated with `합계부과건수` and 6 other fields	High correlation
`합계부과건수` is highly overall correlated with `부과년도` and 5 other fields	High correlation
`합계부과금액(천원)` is highly overall correlated with `부과년도` and 5 other fields	High correlation
`합계징수금액(천원)` is highly overall correlated with `부과년도` and 5 other fields	High correlation
`시설물부과건수` is highly overall correlated with `부과년도` and 2 other fields	High correlation
`시설물부과금액(천원)` is highly overall correlated with `부과년도` and 2 other fields	High correlation
`시설물징수금액(천원)` is highly overall correlated with `부과년도` and 2 other fields	High correlation
`자동차부과건수` is highly overall correlated with `부과년도` and 5 other fields	High correlation
`자동차부과금액(천원)` is highly overall correlated with `합계부과건수` and 4 other fields	High correlation
`자동차징수금액(천원)` is highly overall correlated with `합계부과건수` and 4 other fields	High correlation
`합계부과건수` has unique values	Unique
`합계부과금액(천원)` has unique values	Unique
`합계징수금액(천원)` has unique values	Unique
`자동차부과건수` has unique values	Unique
`자동차부과금액(천원)` has unique values	Unique
`자동차징수금액(천원)` has unique values	Unique
`시설물부과건수` has 40 (80.0%) zeros	Zeros
`시설물부과금액(천원)` has 40 (80.0%) zeros	Zeros
`시설물징수금액(천원)` has 35 (70.0%) zeros	Zeros

Reproduction

Analysis started	2024-03-14 18:45:11.399116
Analysis finished	2024-03-14 18:45:36.787269
Duration	25.39 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

구분
Categorical

Distinct	5
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

광주광역시 동구	10
광주광역시 서구	10
광주광역시 남구	10
광주광역시북구	10
광주광역시 광산구	10

Length

Max length	10
Median length	9
Mean length	8.4
Min length	7

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	광주광역시 동구
2nd row	광주광역시 동구
3rd row	광주광역시 동구
4th row	광주광역시 동구
5th row	광주광역시 동구

Common Values

Value	Count	Frequency (%)
광주광역시 동구	10	20.0%
광주광역시 서구	10	20.0%
광주광역시 남구	10	20.0%
광주광역시북구	10	20.0%
광주광역시 광산구	10	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
광주광역시	40	44.4%
동구	10	11.1%
서구	10	11.1%
남구	10	11.1%
광주광역시북구	10	11.1%
광산구	10	11.1%

부과년도
Real number (ℝ)

HIGH CORRELATION

Distinct	10
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2018.5

Minimum	2014
Maximum	2023
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	578.0 B

Quantile statistics

Minimum	2014
5-th percentile	2014
Q1	2016
median	2018.5
Q3	2021
95-th percentile	2023
Maximum	2023
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.9014423
Coefficient of variation (CV)	0.001437425
Kurtosis	-1.2257898
Mean	2018.5
Median Absolute Deviation (MAD)	2.5
Skewness	0
Sum	100925
Variance	8.4183673
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2023	5	10.0%
2022	5	10.0%
2021	5	10.0%
2020	5	10.0%
2019	5	10.0%
2018	5	10.0%
2017	5	10.0%
2016	5	10.0%
2015	5	10.0%
2014	5	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2014	5	10.0%
2015	5	10.0%
2016	5	10.0%
2017	5	10.0%
2018	5	10.0%
2019	5	10.0%
2020	5	10.0%
2021	5	10.0%
2022	5	10.0%
2023	5	10.0%

Value	Count	Frequency (%)
2023	5	10.0%
2022	5	10.0%
2021	5	10.0%
2020	5	10.0%
2019	5	10.0%
2018	5	10.0%
2017	5	10.0%
2016	5	10.0%
2015	5	10.0%
2014	5	10.0%

합계부과건수
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43557.14

Minimum	4928
Maximum	105244
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	578.0 B

Quantile statistics

Minimum	4928
5-th percentile	8862.2
Q1	20697.75
median	36808
Q3	65814.75
95-th percentile	100845
Maximum	105244
Range	100316
Interquartile range (IQR)	45117

Descriptive statistics

Standard deviation	28626.8
Coefficient of variation (CV)	0.65722405
Kurtosis	-0.58898951
Mean	43557.14
Median Absolute Deviation (MAD)	21153.5
Skewness	0.63841062
Sum	2177857
Variance	8.1949367 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4928	1	2.0%
99679	1	2.0%
42798	1	2.0%
43981	1	2.0%
25829	1	2.0%
33202	1	2.0%
43627	1	2.0%
53455	1	2.0%
62184	1	2.0%
69542	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4928	1	2.0%
6155	1	2.0%
8117	1	2.0%
9773	1	2.0%
10260	1	2.0%
11112	1	2.0%
12700	1	2.0%
13897	1	2.0%
14410	1	2.0%
15587	1	2.0%

Value	Count	Frequency (%)
105244	1	2.0%
104177	1	2.0%
101799	1	2.0%
99679	1	2.0%
87162	1	2.0%
82606	1	2.0%
80281	1	2.0%
76773	1	2.0%
73594	1	2.0%
71646	1	2.0%

합계부과금액(천원)
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2780688.7

Minimum	322582
Maximum	7027080
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	578.0 B

Quantile statistics

Minimum	322582
5-th percentile	536014.85
Q1	1319441.5
median	2351166
Q3	4139141.8
95-th percentile	6515520.8
Maximum	7027080
Range	6704498
Interquartile range (IQR)	2819700.2

Descriptive statistics

Standard deviation	1861945.9
Coefficient of variation (CV)	0.66959881
Kurtosis	-0.39314283
Mean	2780688.7
Median Absolute Deviation (MAD)	1375985
Skewness	0.70942435
Sum	1.3903444 × 10⁸
Variance	3.4668424 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
322582	1	2.0%
6401915	1	2.0%
2638293	1	2.0%
2672777	1	2.0%
1779675	1	2.0%
2144456	1	2.0%
2705972	1	2.0%
3367091	1	2.0%
3820253	1	2.0%
4154227	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
322582	1	2.0%
387386	1	2.0%
482810	1	2.0%
601043	1	2.0%
672640	1	2.0%
678414	1	2.0%
759670	1	2.0%
822508	1	2.0%
883226	1	2.0%
918284	1	2.0%

Value	Count	Frequency (%)
7027080	1	2.0%
6956352	1	2.0%
6608471	1	2.0%
6401915	1	2.0%
5677795	1	2.0%
5209077	1	2.0%
4890226	1	2.0%
4884719	1	2.0%
4607247	1	2.0%
4584449	1	2.0%

합계징수금액(천원)
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2518634.7

Minimum	256219
Maximum	6687550
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	578.0 B

Quantile statistics

Minimum	256219
5-th percentile	440905.9
Q1	1136766
median	2083982.5
Q3	3770080.5
95-th percentile	6185009
Maximum	6687550
Range	6431331
Interquartile range (IQR)	2633314.5

Descriptive statistics

Standard deviation	1793144.5
Coefficient of variation (CV)	0.711951
Kurtosis	-0.29068568
Mean	2518634.7
Median Absolute Deviation (MAD)	1286770
Skewness	0.78618211
Sum	1.2593174 × 10⁸
Variance	3.2153672 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
256219	1	2.0%
6062771	1	2.0%
2498103	1	2.0%
2537012	1	2.0%
1306388	1	2.0%
1747264	1	2.0%
2234018	1	2.0%
2924929	1	2.0%
3426007	1	2.0%
3787785	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
256219	1	2.0%
335751	1	2.0%
407254	1	2.0%
482036	1	2.0%
524244	1	2.0%
563545	1	2.0%
598333	1	2.0%
649563	1	2.0%
736761	1	2.0%
783489	1	2.0%

Value	Count	Frequency (%)
6687550	1	2.0%
6600813	1	2.0%
6285022	1	2.0%
6062771	1	2.0%
5314330	1	2.0%
4900850	1	2.0%
4580104	1	2.0%
4538288	1	2.0%
4330257	1	2.0%
4249575	1	2.0%

시설물부과건수
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	11
Distinct (%)	22.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1500.26

Minimum	0
Maximum	10910
Zeros	40
Zeros (%)	80.0%
Negative	0
Negative (%)	0.0%
Memory size	578.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	9168.55
Maximum	10910
Range	10910
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3275.1524
Coefficient of variation (CV)	2.1830566
Kurtosis	2.5958892
Mean	1500.26
Median Absolute Deviation (MAD)	0
Skewness	2.0128987
Sum	75013
Variance	10726623
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	40	80.0%
4795	1	2.0%
4808	1	2.0%
9168	1	2.0%
9169	1	2.0%
3691	1	2.0%
3741	1	2.0%
10910	1	2.0%
10749	1	2.0%
9146	1	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	40	80.0%
3691	1	2.0%
3741	1	2.0%
4795	1	2.0%
4808	1	2.0%
8836	1	2.0%
9146	1	2.0%
9168	1	2.0%
9169	1	2.0%
10749	1	2.0%

Value	Count	Frequency (%)
10910	1	2.0%
10749	1	2.0%
9169	1	2.0%
9168	1	2.0%
9146	1	2.0%
8836	1	2.0%
4808	1	2.0%
4795	1	2.0%
3741	1	2.0%
3691	1	2.0%

시설물부과금액(천원)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	11
Distinct (%)	22.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	159432.46

Minimum	0
Maximum	1178080
Zeros	40
Zeros (%)	80.0%
Negative	0
Negative (%)	0.0%
Memory size	578.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1025453.3
Maximum	1178080
Range	1178080
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	349276.56
Coefficient of variation (CV)	2.1907494
Kurtosis	2.6528497
Mean	159432.46
Median Absolute Deviation (MAD)	0
Skewness	2.0238614
Sum	7971623
Variance	1.2199411 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	40	80.0%
556104	1	2.0%
576453	1	2.0%
1024548	1	2.0%
1026194	1	2.0%
348243	1	2.0%
347368	1	2.0%
1140154	1	2.0%
1178080	1	2.0%
896605	1	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	40	80.0%
347368	1	2.0%
348243	1	2.0%
556104	1	2.0%
576453	1	2.0%
877874	1	2.0%
896605	1	2.0%
1024548	1	2.0%
1026194	1	2.0%
1140154	1	2.0%

Value	Count	Frequency (%)
1178080	1	2.0%
1140154	1	2.0%
1026194	1	2.0%
1024548	1	2.0%
896605	1	2.0%
877874	1	2.0%
576453	1	2.0%
556104	1	2.0%
348243	1	2.0%
347368	1	2.0%

시설물징수금액(천원)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	16
Distinct (%)	32.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	158029.76

Minimum	0
Maximum	1172809
Zeros	35
Zeros (%)	70.0%
Negative	0
Negative (%)	0.0%
Memory size	578.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	10157.25
95-th percentile	1010702.8
Maximum	1172809
Range	1172809
Interquartile range (IQR)	10157.25

Descriptive statistics

Standard deviation	344195.06
Coefficient of variation (CV)	2.1780395
Kurtosis	2.7616342
Mean	158029.76
Median Absolute Deviation (MAD)	0
Skewness	2.0450895
Sum	7901488
Variance	1.1847024 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	35	70.0%
345454	1	2.0%
869566	1	2.0%
890147	1	2.0%
4140	1	2.0%
2870	1	2.0%
1172809	1	2.0%
1131228	1	2.0%
345158	1	2.0%
12163	1	2.0%
Other values (6)	6	12.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35	70.0%
2870	1	2.0%
4140	1	2.0%
12163	1	2.0%
15948	1	2.0%
24644	1	2.0%
345158	1	2.0%
345454	1	2.0%
527946	1	2.0%
538761	1	2.0%

Value	Count	Frequency (%)
1172809	1	2.0%
1131228	1	2.0%
1014085	1	2.0%
1006569	1	2.0%
890147	1	2.0%
869566	1	2.0%
538761	1	2.0%
527946	1	2.0%
345454	1	2.0%
345158	1	2.0%

자동차부과건수
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42056.88

Minimum	4928
Maximum	96408
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	578.0 B

Quantile statistics

Minimum	4928
5-th percentile	8862.2
Q1	18318.25
median	36808
Q3	61635.25
95-th percentile	90905.2
Maximum	96408
Range	91480
Interquartile range (IQR)	43317

Descriptive statistics

Standard deviation	26887.207
Coefficient of variation (CV)	0.63930579
Kurtosis	-0.88086719
Mean	42056.88
Median Absolute Deviation (MAD)	21153.5
Skewness	0.51479684
Sum	2102844
Variance	7.2292188 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4928	1	2.0%
88769	1	2.0%
39107	1	2.0%
40240	1	2.0%
25829	1	2.0%
33202	1	2.0%
43627	1	2.0%
53455	1	2.0%
62184	1	2.0%
69542	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4928	1	2.0%
6155	1	2.0%
8117	1	2.0%
9773	1	2.0%
10260	1	2.0%
11112	1	2.0%
12700	1	2.0%
13897	1	2.0%
14410	1	2.0%
15587	1	2.0%

Value	Count	Frequency (%)
96408	1	2.0%
93428	1	2.0%
92653	1	2.0%
88769	1	2.0%
87162	1	2.0%
82606	1	2.0%
80281	1	2.0%
76773	1	2.0%
73594	1	2.0%
69542	1	2.0%

자동차부과금액(천원)
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2567256.3

Minimum	322582
Maximum	6149206
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	578.0 B

Quantile statistics

Minimum	322582
5-th percentile	536014.85
Q1	1091236
median	2238202
Q3	3560233.2
95-th percentile	5566463.2
Maximum	6149206
Range	5826624
Interquartile range (IQR)	2468997.2

Descriptive statistics

Standard deviation	1678303.2
Coefficient of variation (CV)	0.65373419
Kurtosis	-0.72983887
Mean	2567256.3
Median Absolute Deviation (MAD)	1219028.5
Skewness	0.61036143
Sum	1.2836281 × 10⁸
Variance	2.8167016 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
322582	1	2.0%
5261761	1	2.0%
2290050	1	2.0%
2325409	1	2.0%
1779675	1	2.0%
2144456	1	2.0%
2705972	1	2.0%
3367091	1	2.0%
3820253	1	2.0%
1454227	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
322582	1	2.0%
387386	1	2.0%
482810	1	2.0%
601043	1	2.0%
672640	1	2.0%
678414	1	2.0%
759670	1	2.0%
822508	1	2.0%
883226	1	2.0%
918284	1	2.0%

Value	Count	Frequency (%)
6149206	1	2.0%
6059747	1	2.0%
5677795	1	2.0%
5430391	1	2.0%
5261761	1	2.0%
5209077	1	2.0%
4890226	1	2.0%
4884719	1	2.0%
4584449	1	2.0%
4513987	1	2.0%

자동차징수금액(천원)
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2361124.9

Minimum	256219
Maximum	5817984
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	578.0 B

Quantile statistics

Minimum	256219
5-th percentile	440905.9
Q1	860996.5
median	2083982.5
Q3	3398548.2
95-th percentile	5223377.3
Maximum	5817984
Range	5561765
Interquartile range (IQR)	2537551.8

Descriptive statistics

Standard deviation	1613363.5
Coefficient of variation (CV)	0.68330289
Kurtosis	-0.7605493
Mean	2361124.9
Median Absolute Deviation (MAD)	1283770
Skewness	0.59551678
Sum	1.1805625 × 10⁸
Variance	2.6029418 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
256219	1	2.0%
4931543	1	2.0%
2152945	1	2.0%
2191558	1	2.0%
1306388	1	2.0%
1747264	1	2.0%
2234018	1	2.0%
2924929	1	2.0%
3426007	1	2.0%
3787785	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
256219	1	2.0%
355751	1	2.0%
407254	1	2.0%
482036	1	2.0%
524244	1	2.0%
563545	1	2.0%
586170	1	2.0%
633615	1	2.0%
712117	1	2.0%
753927	1	2.0%

Value	Count	Frequency (%)
5817984	1	2.0%
5710666	1	2.0%
5314330	1	2.0%
5112213	1	2.0%
4931543	1	2.0%
4900850	1	2.0%
4580104	1	2.0%
4538288	1	2.0%
4249575	1	2.0%
4174013	1	2.0%

데이터기준일
Date

CONSTANT

Distinct	1
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

Minimum	2024-02-02 00:00:00
Maximum	2024-02-02 00:00:00

Histogram

Histogram with fixed size bins (bins=1)

Phik (φk)
Auto

Heatmap
Table

	구분	부과년도	합계부과건수	합계부과금액(천원)	합계징수금액(천원)	시설물부과건수	시설물부과금액(천원)	시설물징수금액(천원)	자동차부과건수	자동차부과금액(천원)	자동차징수금액(천원)
구분	1.000	0.000	0.679	0.614	0.537	0.624	0.460	0.460	0.740	0.781	0.812
부과년도	0.000	1.000	0.000	0.000	0.000	0.472	0.319	0.319	0.512	0.000	0.000
합계부과건수	0.679	0.000	1.000	0.932	0.910	0.816	0.728	0.728	0.975	0.972	0.962
합계부과금액(천원)	0.614	0.000	0.932	1.000	0.997	0.656	0.736	0.736	0.893	0.917	0.913
합계징수금액(천원)	0.537	0.000	0.910	0.997	1.000	0.672	0.747	0.747	0.888	0.890	0.925
시설물부과건수	0.624	0.472	0.816	0.656	0.672	1.000	1.000	1.000	0.806	0.860	0.862
시설물부과금액(천원)	0.460	0.319	0.728	0.736	0.747	1.000	1.000	1.000	0.731	0.777	0.800
시설물징수금액(천원)	0.460	0.319	0.728	0.736	0.747	1.000	1.000	1.000	0.731	0.777	0.800
자동차부과건수	0.740	0.512	0.975	0.893	0.888	0.806	0.731	0.731	1.000	0.938	0.947
자동차부과금액(천원)	0.781	0.000	0.972	0.917	0.890	0.860	0.777	0.777	0.938	1.000	0.980
자동차징수금액(천원)	0.812	0.000	0.962	0.913	0.925	0.862	0.800	0.800	0.947	0.980	1.000

Heatmap
Table

	부과년도	합계부과건수	합계부과금액(천원)	합계징수금액(천원)	시설물부과건수	시설물부과금액(천원)	시설물징수금액(천원)	자동차부과건수	자동차부과금액(천원)	자동차징수금액(천원)	구분
부과년도	1.000	-0.574	-0.539	-0.570	-0.691	-0.691	-0.625	-0.545	-0.482	-0.498	0.000
합계부과건수	-0.574	1.000	0.992	0.995	0.399	0.399	0.235	0.998	0.964	0.991	0.338
합계부과금액(천원)	-0.539	0.992	1.000	0.996	0.407	0.407	0.267	0.990	0.973	0.991	0.403
합계징수금액(천원)	-0.570	0.995	0.996	1.000	0.421	0.421	0.267	0.992	0.969	0.992	0.342
시설물부과건수	-0.691	0.399	0.407	0.421	1.000	1.000	0.862	0.363	0.348	0.331	0.273
시설물부과금액(천원)	-0.691	0.399	0.407	0.421	1.000	1.000	0.862	0.363	0.348	0.331	0.327
시설물징수금액(천원)	-0.625	0.235	0.267	0.267	0.862	0.862	1.000	0.201	0.215	0.185	0.327
자동차부과건수	-0.545	0.998	0.990	0.992	0.363	0.363	0.201	1.000	0.964	0.994	0.384
자동차부과금액(천원)	-0.482	0.964	0.973	0.969	0.348	0.348	0.215	0.964	1.000	0.971	0.420
자동차징수금액(천원)	-0.498	0.991	0.991	0.992	0.331	0.331	0.185	0.994	0.971	1.000	0.447
구분	0.000	0.338	0.403	0.342	0.273	0.327	0.327	0.384	0.420	0.447	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	구분	부과년도	합계부과건수	합계부과금액(천원)	합계징수금액(천원)	시설물부과건수	시설물부과금액(천원)	시설물징수금액(천원)	자동차부과건수	자동차부과금액(천원)	자동차징수금액(천원)	데이터기준일
0	광주광역시 동구	2023	4928	322582	256219	0	0	0	4928	322582	256219	2024-02-02
1	광주광역시 동구	2022	6155	387386	335751	0	0	0	6155	387386	355751	2024-02-02
2	광주광역시 동구	2021	8117	482810	407254	0	0	0	8117	482810	407254	2024-02-02
3	광주광역시 동구	2020	9773	601043	482036	0	0	0	9773	601043	482036	2024-02-02
4	광주광역시 동구	2019	11112	678414	524244	0	0	0	11112	678414	524244	2024-02-02
5	광주광역시 동구	2018	12700	759670	598333	0	0	12163	12700	759670	586170	2024-02-02
6	광주광역시 동구	2017	13897	822508	649563	0	0	15948	13897	822508	633615	2024-02-02
7	광주광역시 동구	2016	15587	918284	736761	0	0	24644	15587	918284	712117	2024-02-02
8	광주광역시 동구	2015	21783	1562373	1281873	4795	556104	527946	16988	1006269	753927	2024-02-02
9	광주광역시 동구	2014	22873	1646635	1325590	4808	576453	538761	18065	1070182	786829	2024-02-02

	구분	부과년도	합계부과건수	합계부과금액(천원)	합계징수금액(천원)	시설물부과건수	시설물부과금액(천원)	시설물징수금액(천원)	자동차부과건수	자동차부과금액(천원)	자동차징수금액(천원)	데이터기준일
40	광주광역시 광산구	2023	28507	2271840	1824124	0	0	2870	28507	2271840	1821254	2024-02-02
41	광주광역시 광산구	2022	36112	2722470	2360597	0	0	4140	36112	2722470	2356457	2024-02-02
42	광주광역시 광산구	2021	47372	3432181	2992365	0	0	0	47372	3432181	2992365	2024-02-02
43	광주광역시 광산구	2020	58312	4093886	3716967	0	0	0	58312	4093886	3716967	2024-02-02
44	광주광역시 광산구	2019	67025	4584449	4249575	0	0	0	67025	4584449	4249575	2024-02-02
45	광주광역시 광산구	2018	73594	4890226	4580104	0	0	0	73594	4890226	4580104	2024-02-02
46	광주광역시 광산구	2017	80281	5209077	4900850	0	0	0	80281	5209077	4900850	2024-02-02
47	광주광역시 광산구	2016	87162	5677795	5314330	0	0	0	87162	5677795	5314330	2024-02-02
48	광주광역시 광산구	2015	101799	6956352	6600813	9146	896605	890147	92653	6059747	5710666	2024-02-02
49	광주광역시 광산구	2014	105244	7027080	6687550	8836	877874	869566	96408	6149206	5817984	2024-02-02

Overview

Variables

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample