Overview

Dataset statistics

Number of variables21
Number of observations414
Missing cells0
Missing cells (%)0.0%
Duplicate rows7
Duplicate rows (%)1.7%
Total size in memory76.1 KiB
Average record size in memory188.3 B

Variable types

Categorical1
Numeric20

Alerts

Dataset has 7 (1.7%) duplicate rowsDuplicates
승용(관용) has 36 (8.7%) zerosZeros
승용(영업용) has 36 (8.7%) zerosZeros
승합(관용) has 36 (8.7%) zerosZeros
승합(자가용) has 9 (2.2%) zerosZeros
승합(영업용) has 27 (6.5%) zerosZeros
승합(관용+자가용+영업용) has 9 (2.2%) zerosZeros
화물(관용) has 36 (8.7%) zerosZeros
화물(영업용) has 27 (6.5%) zerosZeros
특수(관용) has 54 (13.0%) zerosZeros
특수(자가용) has 36 (8.7%) zerosZeros
특수(영업용) has 27 (6.5%) zerosZeros
특수(관용+자가용+영업용) has 27 (6.5%) zerosZeros
관용 자동차(승용+승합+화물+특수) 등록대수 has 36 (8.7%) zerosZeros
영업용 자동차(승용+승합+화물+특수) 등록대수 has 18 (4.3%) zerosZeros

Reproduction

Analysis started2023-12-10 21:20:00.479341
Analysis finished2023-12-10 21:20:00.637066
Duration0.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

Distinct46
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
성남시 분당구
 
9
부천시 원미구
 
9
과천시
 
9
수원시 팔달구
 
9
수원시 영통구
 
9
Other values (41)
369 

Length

Max length8
Median length7.5
Mean length4.8478261
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성남시 분당구
2nd row수원시 권선구
3rd row수원시 팔달구
4th row수원시 영통구
5th row성남시 수정구

Common Values

ValueCountFrequency (%)
성남시 분당구 9
 
2.2%
부천시 원미구 9
 
2.2%
과천시 9
 
2.2%
수원시 팔달구 9
 
2.2%
수원시 영통구 9
 
2.2%
성남시 수정구 9
 
2.2%
성남시 중원구 9
 
2.2%
의정부시 9
 
2.2%
안양시 만안구 9
 
2.2%
안양시 동안구 9
 
2.2%
Other values (36) 324
78.3%

Length

2023-12-11T06:20:00.694574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 36
 
6.1%
수원시 36
 
6.1%
성남시 27
 
4.5%
고양시 27
 
4.5%
용인시 27
 
4.5%
안산시 18
 
3.0%
안양시 18
 
3.0%
파주시 9
 
1.5%
시흥시 9
 
1.5%
군포시 9
 
1.5%
Other values (42) 378
63.6%

승용(관용)
Real number (ℝ)

ZEROS 

Distinct169
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.68116
Minimum0
Maximum467
Zeros36
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:00.799953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q189.25
median165
Q3237
95-th percentile378.35
Maximum467
Range467
Interquartile range (IQR)147.75

Descriptive statistics

Standard deviation107.13059
Coefficient of variation (CV)0.63136409
Kurtosis0.071475136
Mean169.68116
Median Absolute Deviation (MAD)74.5
Skewness0.55261057
Sum70248
Variance11476.963
MonotonicityNot monotonic
2023-12-11T06:20:00.922445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
8.7%
85 11
 
2.7%
152 9
 
2.2%
20 9
 
2.2%
69 8
 
1.9%
126 7
 
1.7%
181 6
 
1.4%
86 6
 
1.4%
210 6
 
1.4%
174 6
 
1.4%
Other values (159) 310
74.9%
ValueCountFrequency (%)
0 36
8.7%
20 9
 
2.2%
42 4
 
1.0%
43 1
 
0.2%
45 4
 
1.0%
68 1
 
0.2%
69 8
 
1.9%
70 3
 
0.7%
71 4
 
1.0%
72 1
 
0.2%
ValueCountFrequency (%)
467 1
 
0.2%
460 2
0.5%
459 2
0.5%
458 1
 
0.2%
457 1
 
0.2%
456 1
 
0.2%
453 1
 
0.2%
396 1
 
0.2%
392 1
 
0.2%
391 3
0.7%

승용(자가용)
Real number (ℝ)

Distinct385
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114946.02
Minimum7
Maximum433987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:01.036105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile23
Q160897.75
median99911
Q3166959.5
95-th percentile265763.25
Maximum433987
Range433980
Interquartile range (IQR)106061.75

Descriptive statistics

Standard deviation84131.671
Coefficient of variation (CV)0.73192331
Kurtosis2.4196218
Mean114946.02
Median Absolute Deviation (MAD)45976.5
Skewness1.238262
Sum47587652
Variance7.0781381 × 109
MonotonicityNot monotonic
2023-12-11T06:20:01.156908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 9
 
2.2%
15 9
 
2.2%
28 5
 
1.2%
23 4
 
1.0%
29 4
 
1.0%
33 3
 
0.7%
58749 2
 
0.5%
70699 1
 
0.2%
17441 1
 
0.2%
94042 1
 
0.2%
Other values (375) 375
90.6%
ValueCountFrequency (%)
7 9
2.2%
15 9
2.2%
23 4
1.0%
28 5
1.2%
29 4
1.0%
31 1
 
0.2%
32 1
 
0.2%
33 3
 
0.7%
17294 1
 
0.2%
17302 1
 
0.2%
ValueCountFrequency (%)
433987 1
0.2%
432007 1
0.2%
430735 1
0.2%
429185 1
0.2%
427331 1
0.2%
424967 1
0.2%
422690 1
0.2%
419825 1
0.2%
417188 1
0.2%
280838 1
0.2%

승용(영업용)
Real number (ℝ)

ZEROS 

Distinct338
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1671.2802
Minimum0
Maximum5599
Zeros36
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:01.289743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1701
median1304.5
Q32418.5
95-th percentile4623.65
Maximum5599
Range5599
Interquartile range (IQR)1717.5

Descriptive statistics

Standard deviation1358.867
Coefficient of variation (CV)0.81306955
Kurtosis0.4270409
Mean1671.2802
Median Absolute Deviation (MAD)942.5
Skewness0.95230728
Sum691910
Variance1846519.6
MonotonicityNot monotonic
2023-12-11T06:20:01.399692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
8.7%
91 4
 
1.0%
701 3
 
0.7%
962 3
 
0.7%
723 3
 
0.7%
308 3
 
0.7%
292 3
 
0.7%
939 2
 
0.5%
942 2
 
0.5%
89 2
 
0.5%
Other values (328) 353
85.3%
ValueCountFrequency (%)
0 36
8.7%
89 2
 
0.5%
90 1
 
0.2%
91 4
 
1.0%
94 1
 
0.2%
95 1
 
0.2%
161 1
 
0.2%
162 1
 
0.2%
163 2
 
0.5%
164 1
 
0.2%
ValueCountFrequency (%)
5599 1
0.2%
5598 1
0.2%
5589 1
0.2%
5587 1
0.2%
5570 1
0.2%
5545 1
0.2%
5507 1
0.2%
5494 1
0.2%
5492 1
0.2%
5306 1
0.2%

승용(관용+자가용+영업용)
Real number (ℝ)

Distinct384
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116786.98
Minimum7
Maximum437590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:01.514338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile23
Q162155.75
median100933
Q3167960.75
95-th percentile268196.25
Maximum437590
Range437583
Interquartile range (IQR)105805

Descriptive statistics

Standard deviation85080.324
Coefficient of variation (CV)0.72850864
Kurtosis2.3377662
Mean116786.98
Median Absolute Deviation (MAD)46082
Skewness1.2181432
Sum48349810
Variance7.2386616 × 109
MonotonicityNot monotonic
2023-12-11T06:20:01.636909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 9
 
2.2%
7 9
 
2.2%
28 5
 
1.2%
23 4
 
1.0%
29 4
 
1.0%
33 3
 
0.7%
100216 2
 
0.5%
89193 2
 
0.5%
51984 1
 
0.2%
143510 1
 
0.2%
Other values (374) 374
90.3%
ValueCountFrequency (%)
7 9
2.2%
15 9
2.2%
23 4
1.0%
28 5
1.2%
29 4
1.0%
31 1
 
0.2%
32 1
 
0.2%
33 3
 
0.7%
17473 1
 
0.2%
17482 1
 
0.2%
ValueCountFrequency (%)
437590 1
0.2%
435597 1
0.2%
434274 1
0.2%
432738 1
0.2%
430930 1
0.2%
428496 1
0.2%
426131 1
0.2%
423257 1
0.2%
420634 1
0.2%
284931 1
0.2%

승합(관용)
Real number (ℝ)

ZEROS 

Distinct119
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.693237
Minimum0
Maximum271
Zeros36
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:01.771263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q162.25
median87
Q3115.75
95-th percentile206
Maximum271
Range271
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation60.752346
Coefficient of variation (CV)0.64157007
Kurtosis0.2569283
Mean94.693237
Median Absolute Deviation (MAD)28
Skewness0.6575384
Sum39203
Variance3690.8476
MonotonicityNot monotonic
2023-12-11T06:20:01.933468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
8.7%
63 10
 
2.4%
76 10
 
2.4%
162 10
 
2.4%
96 9
 
2.2%
83 9
 
2.2%
72 8
 
1.9%
94 8
 
1.9%
77 8
 
1.9%
17 8
 
1.9%
Other values (109) 298
72.0%
ValueCountFrequency (%)
0 36
8.7%
17 8
 
1.9%
18 1
 
0.2%
22 2
 
0.5%
23 3
 
0.7%
25 2
 
0.5%
27 1
 
0.2%
28 5
 
1.2%
29 4
 
1.0%
30 1
 
0.2%
ValueCountFrequency (%)
271 1
 
0.2%
270 1
 
0.2%
269 2
0.5%
268 3
0.7%
267 2
0.5%
230 1
 
0.2%
224 1
 
0.2%
216 1
 
0.2%
214 1
 
0.2%
213 1
 
0.2%

승합(자가용)
Real number (ℝ)

ZEROS 

Distinct363
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3286.0024
Minimum0
Maximum10955
Zeros9
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:02.070620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q12026.25
median2632
Q34402.5
95-th percentile8150.1
Maximum10955
Range10955
Interquartile range (IQR)2376.25

Descriptive statistics

Standard deviation2336.8774
Coefficient of variation (CV)0.71116119
Kurtosis1.1438582
Mean3286.0024
Median Absolute Deviation (MAD)1206.5
Skewness1.077494
Sum1360405
Variance5460996
MonotonicityNot monotonic
2023-12-11T06:20:02.200736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
2.2%
11 9
 
2.2%
19 5
 
1.2%
12 5
 
1.2%
16 4
 
1.0%
10 4
 
1.0%
2601 3
 
0.7%
2950 2
 
0.5%
758 2
 
0.5%
2369 2
 
0.5%
Other values (353) 369
89.1%
ValueCountFrequency (%)
0 9
2.2%
10 4
1.0%
11 9
2.2%
12 5
1.2%
16 4
1.0%
19 5
1.2%
536 1
 
0.2%
539 2
 
0.5%
540 1
 
0.2%
541 1
 
0.2%
ValueCountFrequency (%)
10955 1
0.2%
10921 1
0.2%
10864 1
0.2%
10766 1
0.2%
10725 1
0.2%
10658 1
0.2%
10631 1
0.2%
10580 1
0.2%
10573 1
0.2%
8416 1
0.2%

승합(영업용)
Real number (ℝ)

ZEROS 

Distinct276
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean693.64251
Minimum0
Maximum2714
Zeros27
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:02.356951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1185.25
median489
Q3902.5
95-th percentile2620.05
Maximum2714
Range2714
Interquartile range (IQR)717.25

Descriptive statistics

Standard deviation696.95838
Coefficient of variation (CV)1.0047804
Kurtosis1.8288862
Mean693.64251
Median Absolute Deviation (MAD)316
Skewness1.5442803
Sum287168
Variance485750.98
MonotonicityNot monotonic
2023-12-11T06:20:02.516784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
6.5%
8 9
 
2.2%
330 5
 
1.2%
447 5
 
1.2%
517 4
 
1.0%
194 4
 
1.0%
112 4
 
1.0%
299 4
 
1.0%
600 3
 
0.7%
147 3
 
0.7%
Other values (266) 346
83.6%
ValueCountFrequency (%)
0 27
6.5%
8 9
 
2.2%
25 2
 
0.5%
26 3
 
0.7%
30 1
 
0.2%
31 2
 
0.5%
32 1
 
0.2%
66 1
 
0.2%
67 1
 
0.2%
68 2
 
0.5%
ValueCountFrequency (%)
2714 1
0.2%
2708 1
0.2%
2698 1
0.2%
2691 1
0.2%
2683 1
0.2%
2680 1
0.2%
2676 1
0.2%
2671 1
0.2%
2668 1
0.2%
2662 1
0.2%

승합(관용+자가용+영업용)
Real number (ℝ)

ZEROS 

Distinct371
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4074.3382
Minimum0
Maximum13852
Zeros9
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:02.670867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q12450
median3404
Q35447.5
95-th percentile9638.2
Maximum13852
Range13852
Interquartile range (IQR)2997.5

Descriptive statistics

Standard deviation2943.7271
Coefficient of variation (CV)0.72250435
Kurtosis1.1436932
Mean4074.3382
Median Absolute Deviation (MAD)1394
Skewness1.0851088
Sum1686776
Variance8665529
MonotonicityNot monotonic
2023-12-11T06:20:02.805901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
2.2%
19 9
 
2.2%
20 5
 
1.2%
11 5
 
1.2%
16 4
 
1.0%
10 4
 
1.0%
685 3
 
0.7%
3498 2
 
0.5%
2450 2
 
0.5%
4378 2
 
0.5%
Other values (361) 369
89.1%
ValueCountFrequency (%)
0 9
2.2%
10 4
1.0%
11 5
1.2%
16 4
1.0%
19 9
2.2%
20 5
1.2%
677 1
 
0.2%
679 1
 
0.2%
680 1
 
0.2%
681 1
 
0.2%
ValueCountFrequency (%)
13852 1
0.2%
13811 1
0.2%
13751 1
0.2%
13633 1
0.2%
13608 1
0.2%
13585 1
0.2%
13555 1
0.2%
13501 1
0.2%
13495 1
0.2%
10614 1
0.2%

화물(관용)
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.84783
Minimum0
Maximum295
Zeros36
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:03.194934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q176
median122.5
Q3177.75
95-th percentile252.35
Maximum295
Range295
Interquartile range (IQR)101.75

Descriptive statistics

Standard deviation75.065386
Coefficient of variation (CV)0.60125505
Kurtosis-0.69505822
Mean124.84783
Median Absolute Deviation (MAD)50.5
Skewness0.16158365
Sum51687
Variance5634.8121
MonotonicityNot monotonic
2023-12-11T06:20:03.331053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
8.7%
127 10
 
2.4%
34 9
 
2.2%
105 9
 
2.2%
38 9
 
2.2%
154 8
 
1.9%
157 8
 
1.9%
211 8
 
1.9%
94 6
 
1.4%
36 6
 
1.4%
Other values (131) 305
73.7%
ValueCountFrequency (%)
0 36
8.7%
22 4
 
1.0%
23 4
 
1.0%
24 1
 
0.2%
33 4
 
1.0%
34 9
 
2.2%
35 2
 
0.5%
36 6
 
1.4%
37 4
 
1.0%
38 9
 
2.2%
ValueCountFrequency (%)
295 1
 
0.2%
293 2
0.5%
292 1
 
0.2%
289 3
0.7%
288 2
0.5%
261 1
 
0.2%
260 2
0.5%
258 1
 
0.2%
257 2
0.5%
256 1
 
0.2%

화물(자가용)
Real number (ℝ)

Distinct379
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15599.271
Minimum13
Maximum62857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:03.463178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile42
Q16830.75
median11256
Q320762
95-th percentile37420.3
Maximum62857
Range62844
Interquartile range (IQR)13931.25

Descriptive statistics

Standard deviation12684.486
Coefficient of variation (CV)0.81314608
Kurtosis2.4803725
Mean15599.271
Median Absolute Deviation (MAD)6623
Skewness1.4388091
Sum6458098
Variance1.6089618 × 108
MonotonicityNot monotonic
2023-12-11T06:20:03.594487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 12
 
2.9%
13 9
 
2.2%
29 4
 
1.0%
31 4
 
1.0%
9983 2
 
0.5%
18708 2
 
0.5%
7604 2
 
0.5%
18769 2
 
0.5%
19572 2
 
0.5%
9174 2
 
0.5%
Other values (369) 373
90.1%
ValueCountFrequency (%)
13 9
2.2%
29 4
 
1.0%
30 1
 
0.2%
31 4
 
1.0%
41 1
 
0.2%
42 12
2.9%
67 1
 
0.2%
71 1
 
0.2%
72 1
 
0.2%
73 2
 
0.5%
ValueCountFrequency (%)
62857 1
0.2%
62834 1
0.2%
62782 1
0.2%
62537 1
0.2%
62402 1
0.2%
62322 1
0.2%
62259 1
0.2%
62158 1
0.2%
61760 1
0.2%
43511 1
0.2%

화물(영업용)
Real number (ℝ)

ZEROS 

Distinct347
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2869.5411
Minimum0
Maximum7714
Zeros27
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:03.728043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11432.5
median2350
Q34233.75
95-th percentile6336.9
Maximum7714
Range7714
Interquartile range (IQR)2801.25

Descriptive statistics

Standard deviation2003.7593
Coefficient of variation (CV)0.69828563
Kurtosis-0.53893184
Mean2869.5411
Median Absolute Deviation (MAD)1409.5
Skewness0.54556272
Sum1187990
Variance4015051.3
MonotonicityNot monotonic
2023-12-11T06:20:03.866686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
6.5%
1 9
 
2.2%
1410 3
 
0.7%
206 3
 
0.7%
1427 3
 
0.7%
2014 2
 
0.5%
2743 2
 
0.5%
4232 2
 
0.5%
1292 2
 
0.5%
2958 2
 
0.5%
Other values (337) 359
86.7%
ValueCountFrequency (%)
0 27
6.5%
1 9
 
2.2%
203 1
 
0.2%
205 2
 
0.5%
206 3
 
0.7%
207 2
 
0.5%
208 1
 
0.2%
364 2
 
0.5%
366 2
 
0.5%
367 2
 
0.5%
ValueCountFrequency (%)
7714 1
0.2%
7677 1
0.2%
7615 1
0.2%
7544 1
0.2%
7468 1
0.2%
7451 1
0.2%
7390 1
0.2%
7360 1
0.2%
7325 1
0.2%
7199 1
0.2%

화물(관용+자가용+영업용)
Real number (ℝ)

Distinct379
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18593.659
Minimum13
Maximum70860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:04.027964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile42
Q19008.25
median13724.5
Q323703.5
95-th percentile43807.7
Maximum70860
Range70847
Interquartile range (IQR)14695.25

Descriptive statistics

Standard deviation14476.306
Coefficient of variation (CV)0.77856141
Kurtosis2.0189461
Mean18593.659
Median Absolute Deviation (MAD)7485.5
Skewness1.3218112
Sum7697775
Variance2.0956342 × 108
MonotonicityNot monotonic
2023-12-11T06:20:04.165003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 9
 
2.2%
43 9
 
2.2%
31 4
 
1.0%
29 4
 
1.0%
42 3
 
0.7%
36225 2
 
0.5%
8382 2
 
0.5%
12656 2
 
0.5%
8225 2
 
0.5%
73 2
 
0.5%
Other values (369) 375
90.6%
ValueCountFrequency (%)
13 9
2.2%
29 4
1.0%
30 1
 
0.2%
31 4
1.0%
41 1
 
0.2%
42 3
 
0.7%
43 9
2.2%
67 1
 
0.2%
71 1
 
0.2%
72 1
 
0.2%
ValueCountFrequency (%)
70860 1
0.2%
70800 1
0.2%
70685 1
0.2%
70369 1
0.2%
70159 1
0.2%
70066 1
0.2%
69942 1
0.2%
69813 1
0.2%
69377 1
0.2%
49683 1
0.2%

특수(관용)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.408213
Minimum0
Maximum74
Zeros54
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:04.294696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median12
Q318
95-th percentile27
Maximum74
Range74
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.046722
Coefficient of variation (CV)0.89845847
Kurtosis11.288376
Mean13.408213
Median Absolute Deviation (MAD)5
Skewness2.6644629
Sum5551
Variance145.12352
MonotonicityNot monotonic
2023-12-11T06:20:04.425321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 54
13.0%
9 42
 
10.1%
13 41
 
9.9%
3 27
 
6.5%
10 27
 
6.5%
12 25
 
6.0%
11 22
 
5.3%
21 16
 
3.9%
8 15
 
3.6%
14 13
 
3.1%
Other values (18) 132
31.9%
ValueCountFrequency (%)
0 54
13.0%
1 9
 
2.2%
3 27
6.5%
7 6
 
1.4%
8 15
 
3.6%
9 42
10.1%
10 27
6.5%
11 22
5.3%
12 25
6.0%
13 41
9.9%
ValueCountFrequency (%)
74 6
1.4%
73 3
 
0.7%
30 1
 
0.2%
29 8
1.9%
27 11
2.7%
26 12
2.9%
25 4
 
1.0%
24 13
3.1%
23 9
2.2%
22 7
1.7%

특수(자가용)
Real number (ℝ)

ZEROS 

Distinct287
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352.21739
Minimum0
Maximum1574
Zeros36
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:04.559693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1162
median288.5
Q3467.75
95-th percentile877.05
Maximum1574
Range1574
Interquartile range (IQR)305.75

Descriptive statistics

Standard deviation289.82825
Coefficient of variation (CV)0.82286751
Kurtosis4.0918449
Mean352.21739
Median Absolute Deviation (MAD)143
Skewness1.7102486
Sum145818
Variance84000.413
MonotonicityNot monotonic
2023-12-11T06:20:04.684345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
8.7%
192 4
 
1.0%
162 4
 
1.0%
194 3
 
0.7%
149 3
 
0.7%
325 3
 
0.7%
321 3
 
0.7%
176 3
 
0.7%
207 3
 
0.7%
122 3
 
0.7%
Other values (277) 349
84.3%
ValueCountFrequency (%)
0 36
8.7%
56 1
 
0.2%
57 2
 
0.5%
62 1
 
0.2%
63 2
 
0.5%
64 2
 
0.5%
65 1
 
0.2%
87 2
 
0.5%
88 1
 
0.2%
90 1
 
0.2%
ValueCountFrequency (%)
1574 1
0.2%
1558 1
0.2%
1544 1
0.2%
1534 1
0.2%
1505 1
0.2%
1502 1
0.2%
1494 1
0.2%
1475 1
0.2%
1458 1
0.2%
1060 1
0.2%

특수(영업용)
Real number (ℝ)

ZEROS 

Distinct229
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.24155
Minimum0
Maximum1011
Zeros27
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:04.834910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1132
median206.5
Q3372.75
95-th percentile628.4
Maximum1011
Range1011
Interquartile range (IQR)240.75

Descriptive statistics

Standard deviation211.71591
Coefficient of variation (CV)0.8042648
Kurtosis1.4797049
Mean263.24155
Median Absolute Deviation (MAD)121
Skewness1.1379399
Sum108982
Variance44823.627
MonotonicityNot monotonic
2023-12-11T06:20:04.966276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
6.5%
1 9
 
2.2%
132 8
 
1.9%
259 6
 
1.4%
133 6
 
1.4%
135 5
 
1.2%
134 5
 
1.2%
460 5
 
1.2%
163 5
 
1.2%
160 5
 
1.2%
Other values (219) 333
80.4%
ValueCountFrequency (%)
0 27
6.5%
1 9
 
2.2%
8 2
 
0.5%
9 2
 
0.5%
10 4
 
1.0%
11 1
 
0.2%
33 1
 
0.2%
34 1
 
0.2%
35 2
 
0.5%
36 1
 
0.2%
ValueCountFrequency (%)
1011 1
0.2%
1009 1
0.2%
1008 1
0.2%
1006 1
0.2%
1004 1
0.2%
996 1
0.2%
987 1
0.2%
979 1
0.2%
976 1
0.2%
715 1
0.2%

특수(관용+자가용+영업용)
Real number (ℝ)

ZEROS 

Distinct284
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean628.86715
Minimum0
Maximum2295
Zeros27
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:05.089474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1321
median496
Q3917.5
95-th percentile1536.8
Maximum2295
Range2295
Interquartile range (IQR)596.5

Descriptive statistics

Standard deviation474.0323
Coefficient of variation (CV)0.75378766
Kurtosis1.6073387
Mean628.86715
Median Absolute Deviation (MAD)225.5
Skewness1.1960175
Sum260351
Variance224706.62
MonotonicityNot monotonic
2023-12-11T06:20:05.209020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
6.5%
1 9
 
2.2%
155 4
 
1.0%
320 4
 
1.0%
637 4
 
1.0%
647 3
 
0.7%
458 3
 
0.7%
331 3
 
0.7%
301 3
 
0.7%
321 3
 
0.7%
Other values (274) 351
84.8%
ValueCountFrequency (%)
0 27
6.5%
1 9
 
2.2%
82 1
 
0.2%
83 1
 
0.2%
84 1
 
0.2%
85 1
 
0.2%
86 2
 
0.5%
87 1
 
0.2%
88 2
 
0.5%
151 1
 
0.2%
ValueCountFrequency (%)
2295 1
0.2%
2270 1
0.2%
2249 1
0.2%
2235 1
0.2%
2185 1
0.2%
2150 1
0.2%
2146 1
0.2%
2127 1
0.2%
2103 1
0.2%
1914 1
0.2%

관용 자동차(승용+승합+화물+특수) 등록대수
Real number (ℝ)

ZEROS 

Distinct241
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean402.63043
Minimum0
Maximum984
Zeros36
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:05.356915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1273
median404
Q3551
95-th percentile809
Maximum984
Range984
Interquartile range (IQR)278

Descriptive statistics

Standard deviation235.47655
Coefficient of variation (CV)0.58484539
Kurtosis-0.35433386
Mean402.63043
Median Absolute Deviation (MAD)135.5
Skewness0.23372751
Sum166689
Variance55449.207
MonotonicityNot monotonic
2023-12-11T06:20:05.482986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
8.7%
311 6
 
1.4%
367 5
 
1.2%
388 5
 
1.2%
402 5
 
1.2%
308 5
 
1.2%
406 5
 
1.2%
121 4
 
1.0%
60 4
 
1.0%
59 4
 
1.0%
Other values (231) 335
80.9%
ValueCountFrequency (%)
0 36
8.7%
59 4
 
1.0%
60 4
 
1.0%
62 1
 
0.2%
120 1
 
0.2%
121 4
 
1.0%
122 3
 
0.7%
124 1
 
0.2%
129 2
 
0.5%
131 3
 
0.7%
ValueCountFrequency (%)
984 1
0.2%
978 1
0.2%
971 1
0.2%
969 1
0.2%
967 1
0.2%
962 1
0.2%
959 1
0.2%
958 1
0.2%
954 1
0.2%
855 1
0.2%

자가용 자동차(승용+승합+화물+특수) 등록대수
Real number (ℝ)

Distinct388
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134183.51
Minimum20
Maximum508991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:05.612028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile80
Q171337.5
median118594.5
Q3190494.75
95-th percentile317959.7
Maximum508991
Range508971
Interquartile range (IQR)119157.25

Descriptive statistics

Standard deviation98083.844
Coefficient of variation (CV)0.73096794
Kurtosis2.6380797
Mean134183.51
Median Absolute Deviation (MAD)51893.5
Skewness1.3044637
Sum55551973
Variance9.6204405 × 109
MonotonicityNot monotonic
2023-12-11T06:20:05.753782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 9
 
2.2%
80 5
 
1.2%
58 4
 
1.0%
81 4
 
1.0%
82 4
 
1.0%
55 4
 
1.0%
125 2
 
0.5%
89539 2
 
0.5%
122511 1
 
0.2%
24636 1
 
0.2%
Other values (378) 378
91.3%
ValueCountFrequency (%)
20 9
2.2%
55 4
1.0%
57 1
 
0.2%
58 4
1.0%
80 5
1.2%
81 4
1.0%
82 4
1.0%
117 1
 
0.2%
122 1
 
0.2%
124 1
 
0.2%
ValueCountFrequency (%)
508991 1
0.2%
506979 1
0.2%
505692 1
0.2%
503914 1
0.2%
501960 1
0.2%
499549 1
0.2%
497288 1
0.2%
494396 1
0.2%
491374 1
0.2%
325565 1
0.2%

영업용 자동차(승용+승합+화물+특수) 등록대수
Real number (ℝ)

ZEROS 

Distinct370
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5497.7053
Minimum0
Maximum14271
Zeros18
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:05.886627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13029
median4725
Q37851
95-th percentile13381.1
Maximum14271
Range14271
Interquartile range (IQR)4822

Descriptive statistics

Standard deviation3619.3216
Coefficient of variation (CV)0.65833314
Kurtosis-0.20779142
Mean5497.7053
Median Absolute Deviation (MAD)2402.5
Skewness0.51452007
Sum2276050
Variance13099489
MonotonicityNot monotonic
2023-12-11T06:20:06.028703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
4.3%
1 9
 
2.2%
9 9
 
2.2%
556 3
 
0.7%
3717 2
 
0.5%
2901 2
 
0.5%
1525 2
 
0.5%
4396 2
 
0.5%
706 2
 
0.5%
8177 2
 
0.5%
Other values (360) 363
87.7%
ValueCountFrequency (%)
0 18
4.3%
1 9
2.2%
9 9
2.2%
556 3
 
0.7%
557 1
 
0.2%
558 1
 
0.2%
595 1
 
0.2%
601 1
 
0.2%
602 1
 
0.2%
612 1
 
0.2%
ValueCountFrequency (%)
14271 1
0.2%
14205 1
0.2%
14133 1
0.2%
14102 1
0.2%
14098 1
0.2%
14097 1
0.2%
14046 1
0.2%
14038 1
0.2%
13951 1
0.2%
13924 1
0.2%

총계
Real number (ℝ)

Distinct389
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140083.85
Minimum20
Maximum524246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-11T06:20:06.149224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile81
Q175675
median122960
Q3198383.75
95-th percentile328418.15
Maximum524246
Range524226
Interquartile range (IQR)122708.75

Descriptive statistics

Standard deviation101382.52
Coefficient of variation (CV)0.72372741
Kurtosis2.5171628
Mean140083.85
Median Absolute Deviation (MAD)51112.5
Skewness1.2772117
Sum57994712
Variance1.0278415 × 1010
MonotonicityNot monotonic
2023-12-11T06:20:06.281981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 9
 
2.2%
81 7
 
1.7%
64 4
 
1.0%
83 4
 
1.0%
67 4
 
1.0%
125 2
 
0.5%
89933 2
 
0.5%
117500 1
 
0.2%
30239 1
 
0.2%
79752 1
 
0.2%
Other values (379) 379
91.5%
ValueCountFrequency (%)
20 9
2.2%
64 4
1.0%
66 1
 
0.2%
67 4
1.0%
80 1
 
0.2%
81 7
1.7%
82 1
 
0.2%
83 4
1.0%
117 1
 
0.2%
122 1
 
0.2%
ValueCountFrequency (%)
524246 1
0.2%
522162 1
0.2%
520763 1
0.2%
518927 1
0.2%
516882 1
0.2%
514341 1
0.2%
511951 1
0.2%
509025 1
0.2%
505972 1
0.2%
340490 1
0.2%

Sample

시군구명승용(관용)승용(자가용)승용(영업용)승용(관용+자가용+영업용)승합(관용)승합(자가용)승합(영업용)승합(관용+자가용+영업용)화물(관용)화물(자가용)화물(영업용)화물(관용+자가용+영업용)특수(관용)특수(자가용)특수(영업용)특수(관용+자가용+영업용)관용 자동차(승용+승합+화물+특수) 등록대수자가용 자동차(승용+승합+화물+특수) 등록대수영업용 자동차(승용+승합+화물+특수) 등록대수총계
0성남시 분당구1811795414245183967632679125840001108078201410202133102305533671906087747198722
1수원시 권선구1351736624713178510167503614816684164211962929242892546357610644912003579699210547
2수원시 팔달구153701501379716828226041212807976719168685022315210828335579625329483274
3수원시 영통구25013927217521412749623408425206568581471839432201343574141486903441152545
4성남시 수정구16766964105068181692240219252876768912799044317014832131577063269680074
5성남시 중원구21262589205664857582414266273810591661552108231714613529839274315400978716
6의정부시25114815623301507372704862425555720018272276421236264512677447471717415786178274
7안양시 만안구92737341303751292824299003357389327163811003016413229615885654397389785
8안양시 동안구1461103462302112794122232862530751239990388513998132921594644041229566971130331
9부천시27225141554942571812068375116497452113495958504102029539555112371829528813063309069
시군구명승용(관용)승용(자가용)승용(영업용)승용(관용+자가용+영업용)승합(관용)승합(자가용)승합(영업용)승합(관용+자가용+영업용)화물(관용)화물(자가용)화물(영업용)화물(관용+자가용+영업용)특수(관용)특수(자가용)특수(영업용)특수(관용+자가용+영업용)관용 자동차(승용+승합+화물+특수) 등록대수자가용 자동차(승용+승합+화물+특수) 등록대수영업용 자동차(승용+승합+화물+특수) 등록대수총계
404김포시246199640264520253111653211525696219730869438435450865769113565672364879245246299
405화성시39143398732124375902301057326981350128962857771470860741574647229598450899114271524246
406광주시18316822981616922898510125707769127306785420362251363936110134212046479167214235
407양주시173105572701106446933817445435515819261295822377134642327094371291144336133887
408포천시181654793764694247728787743729154208492737237401233338472942489539765997622
409여주시1845198835752529832074678283520314095608820386927535363747968432747676387
410여주군070700000130130000020020
411연천군901757089177497176118710191566290441710863813451665832524755520930289
412가평군151248692052522587117013813951676618207699220126451914253278359533803
413양평군2415139942052060101177158624582601220285113313112648836361365636194568194

Duplicate rows

Most frequently occurring

시군구명승용(관용)승용(자가용)승용(영업용)승용(관용+자가용+영업용)승합(관용)승합(자가용)승합(영업용)승합(관용+자가용+영업용)화물(관용)화물(자가용)화물(영업용)화물(관용+자가용+영업용)특수(관용)특수(자가용)특수(영업용)특수(관용+자가용+영업용)관용 자동차(승용+승합+화물+특수) 등록대수자가용 자동차(승용+승합+화물+특수) 등록대수영업용 자동차(승용+승합+화물+특수) 등록대수총계# duplicates
6여주군0707000001301300000200209
0부천시 소사구01501501181902902900110559644
1부천시 소사구01501501282003103100110589674
2부천시 오정구02802801001004214300000801814
3부천시 오정구02902901101104214300000821834
4부천시 원미구02302301601604204200000810813
5부천시 원미구0330330190190730730000012501252