Overview

Dataset statistics

Number of variables24
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory218.7 B

Variable types

Categorical3
Numeric21

Dataset

Description경기도 여주시의 자동차 등록현황입니다. 시도, 시군구, 연도, 총계, 관용 합계, 자가용 합계, 영업용 합계, 승용차 합계, 화물차 합계, 승합차 합계, 특수차 합계, 데이터기준일자 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/3065502/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연도 has unique valuesUnique
총계 has unique valuesUnique
관용 합계 has unique valuesUnique
자가용 합계 has unique valuesUnique
영업용 합계 has unique valuesUnique
승용차 합계 has unique valuesUnique
승용차 자가용 has unique valuesUnique
승용차 영업용 has unique valuesUnique
화물차 합계 has unique valuesUnique
화물차 자가용 has unique valuesUnique
승합차 합계 has unique valuesUnique
승합차 자가용 has unique valuesUnique
승합차 영업용 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:43:43.990376
Analysis finished2023-12-12 05:43:44.168955
Duration0.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
경기도
23 

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 23
100.0%

Length

2023-12-12T14:43:44.230284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:43:44.314129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 23
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
여주시
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여주시 23
100.0%

Length

2023-12-12T14:43:44.409283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:43:44.509983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여주시 23
100.0%

연도
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011
Minimum2000
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:44.648434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2001.1
Q12005.5
median2011
Q32016.5
95-th percentile2020.9
Maximum2022
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.0033726156
Kurtosis-1.2
Mean2011
Median Absolute Deviation (MAD)6
Skewness0
Sum46253
Variance46
MonotonicityStrictly increasing
2023-12-12T14:43:44.792601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2000 1
 
4.3%
2001 1
 
4.3%
2022 1
 
4.3%
2021 1
 
4.3%
2020 1
 
4.3%
2019 1
 
4.3%
2018 1
 
4.3%
2017 1
 
4.3%
2016 1
 
4.3%
2015 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
2000 1
4.3%
2001 1
4.3%
2002 1
4.3%
2003 1
4.3%
2004 1
4.3%
2005 1
4.3%
2006 1
4.3%
2007 1
4.3%
2008 1
4.3%
2009 1
4.3%
ValueCountFrequency (%)
2022 1
4.3%
2021 1
4.3%
2020 1
4.3%
2019 1
4.3%
2018 1
4.3%
2017 1
4.3%
2016 1
4.3%
2015 1
4.3%
2014 1
4.3%
2013 1
4.3%

총계
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55532.739
Minimum35396
Maximum74584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:44.943283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35396
5-th percentile38773.5
Q146975
median55273
Q364960.5
95-th percentile71935.1
Maximum74584
Range39188
Interquartile range (IQR)17985.5

Descriptive statistics

Standard deviation11250.922
Coefficient of variation (CV)0.2025998
Kurtosis-0.97966348
Mean55532.739
Median Absolute Deviation (MAD)9507
Skewness-0.011019883
Sum1277253
Variance1.2658324 × 108
MonotonicityStrictly increasing
2023-12-12T14:43:45.135662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
35396 1
 
4.3%
38467 1
 
4.3%
74584 1
 
4.3%
72111 1
 
4.3%
70352 1
 
4.3%
68490 1
 
4.3%
67387 1
 
4.3%
66033 1
 
4.3%
63888 1
 
4.3%
61631 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
35396 1
4.3%
38467 1
4.3%
41532 1
4.3%
42872 1
4.3%
44317 1
4.3%
45766 1
4.3%
48184 1
4.3%
50142 1
4.3%
51201 1
4.3%
52893 1
4.3%
ValueCountFrequency (%)
74584 1
4.3%
72111 1
4.3%
70352 1
4.3%
68490 1
4.3%
67387 1
4.3%
66033 1
4.3%
63888 1
4.3%
61631 1
4.3%
59307 1
4.3%
57060 1
4.3%

관용 합계
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283.78261
Minimum152
Maximum466
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:45.324199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152
5-th percentile161.1
Q1209
median249
Q3374
95-th percentile455.8
Maximum466
Range314
Interquartile range (IQR)165

Descriptive statistics

Standard deviation104.85399
Coefficient of variation (CV)0.36948703
Kurtosis-1.1322853
Mean283.78261
Median Absolute Deviation (MAD)79
Skewness0.49630923
Sum6527
Variance10994.36
MonotonicityNot monotonic
2023-12-12T14:43:45.466823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
152 1
 
4.3%
168 1
 
4.3%
466 1
 
4.3%
457 1
 
4.3%
445 1
 
4.3%
428 1
 
4.3%
406 1
 
4.3%
394 1
 
4.3%
354 1
 
4.3%
319 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
152 1
4.3%
161 1
4.3%
162 1
4.3%
168 1
4.3%
170 1
4.3%
206 1
4.3%
212 1
4.3%
222 1
4.3%
229 1
4.3%
232 1
4.3%
ValueCountFrequency (%)
466 1
4.3%
457 1
4.3%
445 1
4.3%
428 1
4.3%
406 1
4.3%
394 1
4.3%
354 1
4.3%
319 1
4.3%
301 1
4.3%
295 1
4.3%

자가용 합계
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47836.304
Minimum28073
Maximum66711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:45.620847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28073
5-th percentile31067.3
Q139096
median47604
Q357449.5
95-th percentile64144.3
Maximum66711
Range38638
Interquartile range (IQR)18353.5

Descriptive statistics

Standard deviation11268.718
Coefficient of variation (CV)0.23556833
Kurtosis-1.0441025
Mean47836.304
Median Absolute Deviation (MAD)9483
Skewness-0.022179554
Sum1100235
Variance1.2698402 × 108
MonotonicityStrictly increasing
2023-12-12T14:43:45.786048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
28073 1
 
4.3%
30818 1
 
4.3%
66711 1
 
4.3%
64335 1
 
4.3%
62428 1
 
4.3%
60624 1
 
4.3%
59781 1
 
4.3%
58403 1
 
4.3%
56496 1
 
4.3%
54193 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
28073 1
4.3%
30818 1
4.3%
33311 1
4.3%
35021 1
4.3%
36622 1
4.3%
38121 1
4.3%
40071 1
4.3%
42022 1
4.3%
43435 1
4.3%
45118 1
4.3%
ValueCountFrequency (%)
66711 1
4.3%
64335 1
4.3%
62428 1
4.3%
60624 1
4.3%
59781 1
4.3%
58403 1
4.3%
56496 1
4.3%
54193 1
4.3%
51920 1
4.3%
49731 1
4.3%

영업용 합계
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7412.6522
Minimum7034
Maximum8060
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:46.228570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7034
5-th percentile7042.8
Q17185.5
median7420
Q37534
95-th percentile7900
Maximum8060
Range1026
Interquartile range (IQR)348.5

Descriptive statistics

Standard deviation279.94604
Coefficient of variation (CV)0.037765975
Kurtosis0.075582396
Mean7412.6522
Median Absolute Deviation (MAD)184
Skewness0.69308991
Sum170491
Variance78369.783
MonotonicityNot monotonic
2023-12-12T14:43:46.361385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
7171 1
 
4.3%
7481 1
 
4.3%
7407 1
 
4.3%
7319 1
 
4.3%
7479 1
 
4.3%
7438 1
 
4.3%
7200 1
 
4.3%
7236 1
 
4.3%
7038 1
 
4.3%
7119 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
7034 1
4.3%
7038 1
4.3%
7086 1
4.3%
7119 1
4.3%
7133 1
4.3%
7171 1
4.3%
7200 1
4.3%
7236 1
4.3%
7319 1
4.3%
7338 1
4.3%
ValueCountFrequency (%)
8060 1
4.3%
7901 1
4.3%
7891 1
4.3%
7689 1
4.3%
7544 1
4.3%
7543 1
4.3%
7525 1
4.3%
7481 1
4.3%
7479 1
4.3%
7439 1
4.3%

승용차 합계
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34122.957
Minimum17545
Maximum50811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:46.476103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17545
5-th percentile20107.3
Q126232
median33678
Q342587.5
95-th percentile48731.1
Maximum50811
Range33266
Interquartile range (IQR)16355.5

Descriptive statistics

Standard deviation9876.1708
Coefficient of variation (CV)0.28942893
Kurtosis-1.1148478
Mean34122.957
Median Absolute Deviation (MAD)8254
Skewness0.060709007
Sum784828
Variance97538750
MonotonicityStrictly increasing
2023-12-12T14:43:46.586740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
17545 1
 
4.3%
19927 1
 
4.3%
50811 1
 
4.3%
48894 1
 
4.3%
47265 1
 
4.3%
45564 1
 
4.3%
44691 1
 
4.3%
43464 1
 
4.3%
41711 1
 
4.3%
39596 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
17545 1
4.3%
19927 1
4.3%
21730 1
4.3%
22804 1
4.3%
23930 1
4.3%
25424 1
4.3%
27040 1
4.3%
28685 1
4.3%
29850 1
4.3%
31424 1
4.3%
ValueCountFrequency (%)
50811 1
4.3%
48894 1
4.3%
47265 1
4.3%
45564 1
4.3%
44691 1
4.3%
43464 1
4.3%
41711 1
4.3%
39596 1
4.3%
37567 1
4.3%
35621 1
4.3%

승용차 관용
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.956522
Minimum37
Maximum175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:46.720390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile41
Q150.5
median74
Q3130
95-th percentile171.7
Maximum175
Range138
Interquartile range (IQR)79.5

Descriptive statistics

Standard deviation47.523658
Coefficient of variation (CV)0.52248763
Kurtosis-1.1522201
Mean90.956522
Median Absolute Deviation (MAD)32
Skewness0.56940824
Sum2092
Variance2258.498
MonotonicityNot monotonic
2023-12-12T14:43:46.823438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
41 2
 
8.7%
98 1
 
4.3%
175 1
 
4.3%
172 1
 
4.3%
169 1
 
4.3%
152 1
 
4.3%
142 1
 
4.3%
135 1
 
4.3%
125 1
 
4.3%
115 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
37 1
4.3%
41 2
8.7%
42 1
4.3%
43 1
4.3%
50 1
4.3%
51 1
4.3%
57 1
4.3%
60 1
4.3%
65 1
4.3%
66 1
4.3%
ValueCountFrequency (%)
175 1
4.3%
172 1
4.3%
169 1
4.3%
152 1
4.3%
142 1
4.3%
135 1
4.3%
125 1
4.3%
115 1
4.3%
104 1
4.3%
98 1
4.3%

승용차 자가용
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33663.565
Minimum17228
Maximum50266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:46.940341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17228
5-th percentile19773.7
Q125877.5
median33265
Q342053.5
95-th percentile48050
Maximum50266
Range33038
Interquartile range (IQR)16176

Descriptive statistics

Standard deviation9763.5402
Coefficient of variation (CV)0.29003286
Kurtosis-1.1064642
Mean33663.565
Median Absolute Deviation (MAD)8191
Skewness0.056399058
Sum774262
Variance95326718
MonotonicityStrictly increasing
2023-12-12T14:43:47.042681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
17228 1
 
4.3%
19594 1
 
4.3%
50266 1
 
4.3%
48213 1
 
4.3%
46583 1
 
4.3%
44927 1
 
4.3%
44021 1
 
4.3%
42883 1
 
4.3%
41224 1
 
4.3%
39095 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
17228 1
4.3%
19594 1
4.3%
21391 1
4.3%
22471 1
4.3%
23594 1
4.3%
25074 1
4.3%
26681 1
4.3%
28309 1
4.3%
29499 1
4.3%
30987 1
4.3%
ValueCountFrequency (%)
50266 1
4.3%
48213 1
4.3%
46583 1
4.3%
44927 1
4.3%
44021 1
4.3%
42883 1
4.3%
41224 1
4.3%
39095 1
4.3%
37071 1
4.3%
35178 1
4.3%

승용차 영업용
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean368.43478
Minimum276
Maximum528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:47.157327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum276
5-th percentile291.2
Q1299
median345
Q3405.5
95-th percentile512.6
Maximum528
Range252
Interquartile range (IQR)106.5

Descriptive statistics

Standard deviation79.410227
Coefficient of variation (CV)0.21553401
Kurtosis-0.49402628
Mean368.43478
Median Absolute Deviation (MAD)47
Skewness0.84267893
Sum8474
Variance6305.9842
MonotonicityNot monotonic
2023-12-12T14:43:47.276155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
276 1
 
4.3%
291 1
 
4.3%
370 1
 
4.3%
509 1
 
4.3%
513 1
 
4.3%
485 1
 
4.3%
528 1
 
4.3%
446 1
 
4.3%
362 1
 
4.3%
386 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
276 1
4.3%
291 1
4.3%
293 1
4.3%
294 1
4.3%
296 1
4.3%
298 1
4.3%
300 1
4.3%
308 1
4.3%
316 1
4.3%
336 1
4.3%
ValueCountFrequency (%)
528 1
4.3%
513 1
4.3%
509 1
4.3%
485 1
4.3%
446 1
4.3%
419 1
4.3%
392 1
4.3%
386 1
4.3%
372 1
4.3%
370 1
4.3%

화물차 합계
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17603.522
Minimum13633
Maximum20195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:47.406718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13633
5-th percentile14861.4
Q116980.5
median17676
Q318650
95-th percentile19529.1
Maximum20195
Range6562
Interquartile range (IQR)1669.5

Descriptive statistics

Standard deviation1540.8806
Coefficient of variation (CV)0.087532517
Kurtosis0.93674182
Mean17603.522
Median Absolute Deviation (MAD)931
Skewness-0.74030367
Sum404881
Variance2374312.9
MonotonicityNot monotonic
2023-12-12T14:43:47.528079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
13633 1
 
4.3%
14739 1
 
4.3%
20195 1
 
4.3%
19536 1
 
4.3%
19467 1
 
4.3%
19266 1
 
4.3%
18972 1
 
4.3%
18835 1
 
4.3%
18465 1
 
4.3%
18230 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
13633 1
4.3%
14739 1
4.3%
15963 1
4.3%
16156 1
4.3%
16539 1
4.3%
16745 1
4.3%
17216 1
4.3%
17437 1
4.3%
17455 1
4.3%
17457 1
4.3%
ValueCountFrequency (%)
20195 1
4.3%
19536 1
4.3%
19467 1
4.3%
19266 1
4.3%
18972 1
4.3%
18835 1
4.3%
18465 1
4.3%
18230 1
4.3%
17968 1
4.3%
17736 1
4.3%

화물차 관용
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.91304
Minimum85
Maximum198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:47.724583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile91.4
Q1119
median129
Q3174.5
95-th percentile195.7
Maximum198
Range113
Interquartile range (IQR)55.5

Descriptive statistics

Standard deviation36.530079
Coefficient of variation (CV)0.2610913
Kurtosis-1.1131674
Mean139.91304
Median Absolute Deviation (MAD)30
Skewness0.30951428
Sum3218
Variance1334.4466
MonotonicityNot monotonic
2023-12-12T14:43:47.872959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
127 2
 
8.7%
85 1
 
4.3%
144 1
 
4.3%
198 1
 
4.3%
196 1
 
4.3%
191 1
 
4.3%
193 1
 
4.3%
186 1
 
4.3%
183 1
 
4.3%
166 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
85 1
4.3%
91 1
4.3%
95 1
4.3%
98 1
4.3%
99 1
4.3%
115 1
4.3%
123 1
4.3%
124 1
4.3%
126 1
4.3%
127 2
8.7%
ValueCountFrequency (%)
198 1
4.3%
196 1
4.3%
193 1
4.3%
191 1
4.3%
186 1
4.3%
183 1
4.3%
166 1
4.3%
145 1
4.3%
144 1
4.3%
143 1
4.3%

화물차 자가용
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11424
Minimum7274
Maximum14033
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:48.018338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7274
5-th percentile8202.3
Q110399.5
median11580
Q312961.5
95-th percentile13685.1
Maximum14033
Range6759
Interquartile range (IQR)2562

Descriptive statistics

Standard deviation1849.887
Coefficient of variation (CV)0.16192989
Kurtosis-0.28865468
Mean11424
Median Absolute Deviation (MAD)1379
Skewness-0.62383651
Sum262752
Variance3422082
MonotonicityStrictly increasing
2023-12-12T14:43:48.158791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
7274 1
 
4.3%
8142 1
 
4.3%
14033 1
 
4.3%
13710 1
 
4.3%
13461 1
 
4.3%
13313 1
 
4.3%
13298 1
 
4.3%
13084 1
 
4.3%
12839 1
 
4.3%
12639 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
7274 1
4.3%
8142 1
4.3%
8745 1
4.3%
9344 1
4.3%
9941 1
4.3%
10201 1
4.3%
10598 1
4.3%
10825 1
4.3%
10983 1
4.3%
11242 1
4.3%
ValueCountFrequency (%)
14033 1
4.3%
13710 1
4.3%
13461 1
4.3%
13313 1
4.3%
13298 1
4.3%
13084 1
4.3%
12839 1
4.3%
12639 1
4.3%
12337 1
4.3%
11999 1
4.3%

화물차 영업용
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6039.6087
Minimum5446
Maximum7127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:48.318218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5446
5-th percentile5462.8
Q15599
median6001
Q36457.5
95-th percentile6733.8
Maximum7127
Range1681
Interquartile range (IQR)858.5

Descriptive statistics

Standard deviation481.65111
Coefficient of variation (CV)0.079748728
Kurtosis-0.60714555
Mean6039.6087
Median Absolute Deviation (MAD)433
Skewness0.53515279
Sum138911
Variance231987.79
MonotonicityNot monotonic
2023-12-12T14:43:48.473807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5488 2
 
8.7%
6274 1
 
4.3%
5748 1
 
4.3%
5964 1
 
4.3%
5630 1
 
4.3%
5815 1
 
4.3%
5760 1
 
4.3%
5568 1
 
4.3%
5460 1
 
4.3%
5446 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
5446 1
4.3%
5460 1
4.3%
5488 2
8.7%
5554 1
4.3%
5568 1
4.3%
5630 1
4.3%
5748 1
4.3%
5760 1
4.3%
5815 1
4.3%
5964 1
4.3%
ValueCountFrequency (%)
7127 1
4.3%
6736 1
4.3%
6714 1
4.3%
6502 1
4.3%
6499 1
4.3%
6486 1
4.3%
6429 1
4.3%
6274 1
4.3%
6109 1
4.3%
6086 1
4.3%

승합차 합계
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3380.8261
Minimum3012
Maximum3991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:48.631891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3012
5-th percentile3029
Q13215
median3306
Q33534.5
95-th percentile3908.8
Maximum3991
Range979
Interquartile range (IQR)319.5

Descriptive statistics

Standard deviation259.42675
Coefficient of variation (CV)0.076734723
Kurtosis0.4859702
Mean3380.8261
Median Absolute Deviation (MAD)186
Skewness0.74734742
Sum77759
Variance67302.241
MonotonicityNot monotonic
2023-12-12T14:43:48.785138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3991 1
 
4.3%
3549 1
 
4.3%
3940 1
 
4.3%
3047 1
 
4.3%
3012 1
 
4.3%
3027 1
 
4.3%
3120 1
 
4.3%
3165 1
 
4.3%
3206 1
 
4.3%
3286 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
3012 1
4.3%
3027 1
4.3%
3047 1
4.3%
3120 1
4.3%
3165 1
4.3%
3206 1
4.3%
3224 1
4.3%
3232 1
4.3%
3275 1
4.3%
3286 1
4.3%
ValueCountFrequency (%)
3991 1
4.3%
3940 1
4.3%
3628 1
4.3%
3549 1
4.3%
3548 1
4.3%
3538 1
4.3%
3531 1
4.3%
3512 1
4.3%
3484 1
4.3%
3431 1
4.3%

승합차 관용
Real number (ℝ)

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.434783
Minimum24
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:48.922015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile26
Q131
median37
Q359
95-th percentile79.6
Maximum84
Range60
Interquartile range (IQR)28

Descriptive statistics

Standard deviation19.338671
Coefficient of variation (CV)0.42563582
Kurtosis-0.71300605
Mean45.434783
Median Absolute Deviation (MAD)9
Skewness0.84372059
Sum1045
Variance373.98419
MonotonicityNot monotonic
2023-12-12T14:43:49.063084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
26 2
 
8.7%
28 2
 
8.7%
24 1
 
4.3%
44 1
 
4.3%
84 1
 
4.3%
80 1
 
4.3%
76 1
 
4.3%
74 1
 
4.3%
68 1
 
4.3%
65 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
24 1
4.3%
26 2
8.7%
28 2
8.7%
30 1
4.3%
32 1
4.3%
33 1
4.3%
34 1
4.3%
35 1
4.3%
36 1
4.3%
37 1
4.3%
ValueCountFrequency (%)
84 1
4.3%
80 1
4.3%
76 1
4.3%
74 1
4.3%
68 1
4.3%
65 1
4.3%
53 1
4.3%
49 1
4.3%
44 1
4.3%
43 1
4.3%

승합차 자가용
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2644.3478
Minimum2144
Maximum3539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:49.185578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2144
5-th percentile2181.3
Q12319
median2654
Q32847.5
95-th percentile3159.4
Maximum3539
Range1395
Interquartile range (IQR)528.5

Descriptive statistics

Standard deviation379.18017
Coefficient of variation (CV)0.1433927
Kurtosis-0.38996713
Mean2644.3478
Median Absolute Deviation (MAD)334
Skewness0.53291297
Sum60820
Variance143777.6
MonotonicityNot monotonic
2023-12-12T14:43:49.358793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3539 1
 
4.3%
3051 1
 
4.3%
2144 1
 
4.3%
2181 1
 
4.3%
2184 1
 
4.3%
2224 1
 
4.3%
2320 1
 
4.3%
2318 1
 
4.3%
2315 1
 
4.3%
2350 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
2144 1
4.3%
2181 1
4.3%
2184 1
4.3%
2224 1
4.3%
2315 1
4.3%
2318 1
4.3%
2320 1
4.3%
2350 1
4.3%
2402 1
4.3%
2443 1
4.3%
ValueCountFrequency (%)
3539 1
4.3%
3162 1
4.3%
3136 1
4.3%
3051 1
4.3%
3047 1
4.3%
2867 1
4.3%
2828 1
4.3%
2807 1
4.3%
2789 1
4.3%
2766 1
4.3%

승합차 영업용
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean647.56522
Minimum360
Maximum887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:49.500170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum360
5-th percentile374.9
Q1462.5
median720
Q3767
95-th percentile840.7
Maximum887
Range527
Interquartile range (IQR)304.5

Descriptive statistics

Standard deviation170.66976
Coefficient of variation (CV)0.26355609
Kurtosis-1.1591312
Mean647.56522
Median Absolute Deviation (MAD)69
Skewness-0.59332478
Sum14894
Variance29128.166
MonotonicityNot monotonic
2023-12-12T14:43:49.645067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
428 1
 
4.3%
470 1
 
4.3%
712 1
 
4.3%
786 1
 
4.3%
752 1
 
4.3%
729 1
 
4.3%
732 1
 
4.3%
782 1
 
4.3%
838 1
 
4.3%
887 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
360 1
4.3%
374 1
4.3%
383 1
4.3%
411 1
4.3%
428 1
4.3%
455 1
4.3%
470 1
4.3%
618 1
4.3%
668 1
4.3%
691 1
4.3%
ValueCountFrequency (%)
887 1
4.3%
841 1
4.3%
838 1
4.3%
789 1
4.3%
786 1
4.3%
782 1
4.3%
752 1
4.3%
740 1
4.3%
732 1
4.3%
729 1
4.3%

특수차 합계
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean468.91304
Minimum227
Maximum638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:49.767285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum227
5-th percentile256.9
Q1394.5
median485
Q3544
95-th percentile633.9
Maximum638
Range411
Interquartile range (IQR)149.5

Descriptive statistics

Standard deviation118.27238
Coefficient of variation (CV)0.25222668
Kurtosis-0.44195598
Mean468.91304
Median Absolute Deviation (MAD)84
Skewness-0.37113822
Sum10785
Variance13988.356
MonotonicityNot monotonic
2023-12-12T14:43:49.913436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
364 2
 
8.7%
227 1
 
4.3%
467 1
 
4.3%
638 1
 
4.3%
634 1
 
4.3%
608 1
 
4.3%
633 1
 
4.3%
604 1
 
4.3%
569 1
 
4.3%
506 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
227 1
4.3%
252 1
4.3%
301 1
4.3%
364 2
8.7%
373 1
4.3%
416 1
4.3%
428 1
4.3%
444 1
4.3%
455 1
4.3%
467 1
4.3%
ValueCountFrequency (%)
638 1
4.3%
634 1
4.3%
633 1
4.3%
608 1
4.3%
604 1
4.3%
569 1
4.3%
519 1
4.3%
507 1
4.3%
506 1
4.3%
502 1
4.3%

특수차 관용
Real number (ℝ)

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4782609
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:50.021043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.1
Q17.5
median9
Q310
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation3.217418
Coefficient of variation (CV)0.43023613
Kurtosis-0.028659628
Mean7.4782609
Median Absolute Deviation (MAD)1
Skewness-1.2021716
Sum172
Variance10.351779
MonotonicityNot monotonic
2023-12-12T14:43:50.158859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
10 6
26.1%
8 5
21.7%
9 5
21.7%
2 2
 
8.7%
1 2
 
8.7%
3 1
 
4.3%
7 1
 
4.3%
11 1
 
4.3%
ValueCountFrequency (%)
1 2
 
8.7%
2 2
 
8.7%
3 1
 
4.3%
7 1
 
4.3%
8 5
21.7%
9 5
21.7%
10 6
26.1%
11 1
 
4.3%
ValueCountFrequency (%)
11 1
 
4.3%
10 6
26.1%
9 5
21.7%
8 5
21.7%
7 1
 
4.3%
3 1
 
4.3%
2 2
 
8.7%
1 2
 
8.7%

특수차 자가용
Real number (ℝ)

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.3913
Minimum31
Maximum268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:50.276870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile32.7
Q144.5
median105
Q3118
95-th percentile227.9
Maximum268
Range237
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation63.872557
Coefficient of variation (CV)0.61185707
Kurtosis0.88102469
Mean104.3913
Median Absolute Deviation (MAD)45
Skewness1.0296174
Sum2401
Variance4079.7036
MonotonicityNot monotonic
2023-12-12T14:43:50.399637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
105 2
 
8.7%
39 2
 
8.7%
118 2
 
8.7%
111 1
 
4.3%
268 1
 
4.3%
231 1
 
4.3%
200 1
 
4.3%
160 1
 
4.3%
142 1
 
4.3%
109 1
 
4.3%
Other values (10) 10
43.5%
ValueCountFrequency (%)
31 1
4.3%
32 1
4.3%
39 2
8.7%
40 1
4.3%
44 1
4.3%
45 1
4.3%
60 1
4.3%
86 1
4.3%
100 1
4.3%
105 2
8.7%
ValueCountFrequency (%)
268 1
4.3%
231 1
4.3%
200 1
4.3%
160 1
4.3%
142 1
4.3%
118 2
8.7%
111 1
4.3%
110 1
4.3%
109 1
4.3%
108 1
4.3%

특수차 영업용
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean357.04348
Minimum193
Maximum464
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:43:50.539527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193
5-th percentile222.3
Q1320.5
median365
Q3401
95-th percentile450.8
Maximum464
Range271
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation70.22592
Coefficient of variation (CV)0.19668731
Kurtosis0.23383188
Mean357.04348
Median Absolute Deviation (MAD)43
Skewness-0.71302722
Sum8212
Variance4931.6798
MonotonicityNot monotonic
2023-12-12T14:43:50.693026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
394 2
 
8.7%
193 1
 
4.3%
329 1
 
4.3%
361 1
 
4.3%
399 1
 
4.3%
464 1
 
4.3%
452 1
 
4.3%
440 1
 
4.3%
378 1
 
4.3%
400 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
193 1
4.3%
218 1
4.3%
261 1
4.3%
300 1
4.3%
314 1
4.3%
319 1
4.3%
322 1
4.3%
327 1
4.3%
329 1
4.3%
346 1
4.3%
ValueCountFrequency (%)
464 1
4.3%
452 1
4.3%
440 1
4.3%
421 1
4.3%
413 1
4.3%
402 1
4.3%
400 1
4.3%
399 1
4.3%
394 2
8.7%
378 1
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2022-12-31
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 23
100.0%

Length

2023-12-12T14:43:50.836590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:43:50.927059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 23
100.0%

Sample

시도시군구연도총계관용 합계자가용 합계영업용 합계승용차 합계승용차 관용승용차 자가용승용차 영업용화물차 합계화물차 관용화물차 자가용화물차 영업용승합차 합계승합차 관용승합차 자가용승합차 영업용특수차 합계특수차 관용특수차 자가용특수차 영업용데이터기준일자
0경기도여주시20003539615228073717117545411722827613633857274627439912435394282272321932022-12-31
1경기도여주시20013846716830818748119927421959429114739958142650235492830514702523312182022-12-31
2경기도여주시20024153216133311806021730412139129815963918745712735382831363743011392612022-12-31
3경기도여주시20034287216235021768922804372247129616156989344671435482631623603641443192022-12-31
4경기도여주시20044431717036622752523930432359429316539999941649934842630474113642403222022-12-31
5경기도여주시2005457662063812174392542450250743001674511510201642932243428073833737393272022-12-31
6경기도여주시2006481842124007179012704051266813081745712310598673632323027474554558454022022-12-31
7경기도여주시2007501422294202278912868560283093161743712610825648635313528286684898604212022-12-31
8경기도여주시2008512012224343575442985057294992941721612410983610936283328677285078864132022-12-31
9경기도여주시20095289323245118754331424653098737217455127112426086351232278969150281003942022-12-31
시도시군구연도총계관용 합계자가용 합계영업용 합계승용차 합계승용차 관용승용차 자가용승용차 영업용화물차 합계화물차 관용화물차 자가용화물차 영업용승합차 합계승합차 관용승합차 자가용승합차 영업용특수차 합계특수차 관용특수차 자가용특수차 영업용데이터기준일자
13경기도여주시201357060295497317034356219835178345176971441199955543275432443789467101113462022-12-31
14경기도여주시2014593073015192070863756710437071392179681431233754883287442402841485101103652022-12-31
15경기도여주시2015616313195419371193959611539095386182301451263954463286492350887519101094002022-12-31
16경기도여주시2016638883545649670384171112541224362184651661283954603206532315838506101183782022-12-31
17경기도여주시2017660333945840372364346413542883446188351831308455683165652318782569111184402022-12-31
18경기도여주시2018673874065978172004469114244021528189721861329854883120682320732604101424522022-12-31
19경기도여주시201968490428606247438455641524492748519266193133135760302774222472963391604642022-12-31
20경기도여주시202070352445624287479472651694658351319467191134615815301276218475260892003992022-12-31
21경기도여주시202172111457643357319488941724821350919536196137105630304780218178663492313942022-12-31
22경기도여주시202274584466667117407508111755026637020195198140335964394084214471263892683612022-12-31