Overview

Dataset statistics

Number of variables25
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory230.0 B

Variable types

Text1
Numeric20
Categorical4

Dataset

Description전라남도내 시군별 전기자동차 보급 지원현황 (승용, 화물, 용도별, 승합여부 등)에 관한 데이터를 조회하실 수 있습니다.
URLhttps://www.data.go.kr/data/15036852/fileData.do

Alerts

전기버스 21년 is highly imbalanced (66.5%)Imbalance
전기버스 20년 is highly imbalanced (55.8%)Imbalance
전기굴착기 22년 is highly imbalanced (52.2%)Imbalance
시군명 has unique valuesUnique
전기승용 18년 has 1 (4.5%) zerosZeros
전기승용 17년 has 1 (4.5%) zerosZeros
전기승용 16년 has 14 (63.6%) zerosZeros
전기승용 15년까지 has 4 (18.2%) zerosZeros
전기이륜 20년 has 3 (13.6%) zerosZeros
전기이륜 19년 has 9 (40.9%) zerosZeros
전기이륜 18년까지 has 13 (59.1%) zerosZeros
전기화물 20년 has 5 (22.7%) zerosZeros
전기버스 22년 has 4 (18.2%) zerosZeros

Reproduction

Analysis started2023-12-12 05:16:57.854304
Analysis finished2023-12-12 05:16:58.076198
Duration0.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:16:58.191602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters44
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row목포
2nd row여수
3rd row순천
4th row나주
5th row광양
ValueCountFrequency (%)
목포 1
 
4.5%
여수 1
 
4.5%
진도 1
 
4.5%
완도 1
 
4.5%
장성 1
 
4.5%
영광 1
 
4.5%
함평 1
 
4.5%
무안 1
 
4.5%
영암 1
 
4.5%
해남 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T14:16:58.510957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
성 3
 
6.8%
흥 2
 
4.5%
안 2
 
4.5%
진 2
 
4.5%
영 2
 
4.5%
장 2
 
4.5%
광 2
 
4.5%
양 2
 
4.5%
순 2
 
4.5%
도 2
 
4.5%
Other values (23) 23
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 3
 
6.8%
흥 2
 
4.5%
안 2
 
4.5%
진 2
 
4.5%
영 2
 
4.5%
장 2
 
4.5%
광 2
 
4.5%
양 2
 
4.5%
순 2
 
4.5%
도 2
 
4.5%
Other values (23) 23
52.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 3
 
6.8%
흥 2
 
4.5%
안 2
 
4.5%
진 2
 
4.5%
영 2
 
4.5%
장 2
 
4.5%
광 2
 
4.5%
양 2
 
4.5%
순 2
 
4.5%
도 2
 
4.5%
Other values (23) 23
52.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
성 3
 
6.8%
흥 2
 
4.5%
안 2
 
4.5%
진 2
 
4.5%
영 2
 
4.5%
장 2
 
4.5%
광 2
 
4.5%
양 2
 
4.5%
순 2
 
4.5%
도 2
 
4.5%
Other values (23) 23
52.3%

전기승용 23년 6월
Real number (ℝ)

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.18182
Minimum35
Maximum400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:16:58.642178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile35.5
Q160.25
median75
Q3120
95-th percentile308.55
Maximum400
Range365
Interquartile range (IQR)59.75

Descriptive statistics

Standard deviation102.48746
Coefficient of variation (CV)0.86720159
Kurtosis1.7832636
Mean118.18182
Median Absolute Deviation (MAD)22.5
Skewness1.660056
Sum2600
Variance10503.68
MonotonicityNot monotonic
2023-12-12T14:16:58.764832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
75 4
18.2%
45 2
 
9.1%
70 2
 
9.1%
60 2
 
9.1%
35 2
 
9.1%
309 1
 
4.5%
227 1
 
4.5%
400 1
 
4.5%
210 1
 
4.5%
300 1
 
4.5%
Other values (5) 5
22.7%
ValueCountFrequency (%)
35 2
9.1%
45 2
9.1%
60 2
9.1%
61 1
 
4.5%
63 1
 
4.5%
70 2
9.1%
75 4
18.2%
80 1
 
4.5%
105 1
 
4.5%
125 1
 
4.5%
ValueCountFrequency (%)
400 1
 
4.5%
309 1
 
4.5%
300 1
 
4.5%
227 1
 
4.5%
210 1
 
4.5%
125 1
 
4.5%
105 1
 
4.5%
80 1
 
4.5%
75 4
18.2%
70 2
9.1%

전기승용 22년
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345.40909
Minimum122
Maximum1310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:16:58.888999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile155.3
Q1163
median191.5
Q3308.75
95-th percentile1041.8
Maximum1310
Range1188
Interquartile range (IQR)145.75

Descriptive statistics

Standard deviation328.53711
Coefficient of variation (CV)0.95115363
Kurtosis3.3302429
Mean345.40909
Median Absolute Deviation (MAD)34
Skewness2.0524353
Sum7599
Variance107936.63
MonotonicityNot monotonic
2023-12-12T14:16:58.992078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
163 3
 
13.6%
442 1
 
4.5%
166 1
 
4.5%
161 1
 
4.5%
155 1
 
4.5%
167 1
 
4.5%
317 1
 
4.5%
170 1
 
4.5%
284 1
 
4.5%
209 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
122 1
 
4.5%
155 1
 
4.5%
161 1
 
4.5%
162 1
 
4.5%
163 3
13.6%
166 1
 
4.5%
167 1
 
4.5%
170 1
 
4.5%
174 1
 
4.5%
209 1
 
4.5%
ValueCountFrequency (%)
1310 1
4.5%
1047 1
4.5%
943 1
4.5%
555 1
4.5%
442 1
4.5%
317 1
4.5%
284 1
4.5%
255 1
4.5%
248 1
4.5%
223 1
4.5%

전기승용 21년
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.45455
Minimum18
Maximum867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:16:59.100250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile21.1
Q135.25
median56.5
Q3106.75
95-th percentile257.65
Maximum867
Range849
Interquartile range (IQR)71.5

Descriptive statistics

Standard deviation181.51787
Coefficient of variation (CV)1.5323841
Kurtosis14.936375
Mean118.45455
Median Absolute Deviation (MAD)31.5
Skewness3.658217
Sum2606
Variance32948.736
MonotonicityNot monotonic
2023-12-12T14:16:59.202686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
40 2
 
9.1%
106 1
 
4.5%
35 1
 
4.5%
867 1
 
4.5%
18 1
 
4.5%
21 1
 
4.5%
33 1
 
4.5%
107 1
 
4.5%
60 1
 
4.5%
82 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
18 1
4.5%
21 1
4.5%
23 1
4.5%
27 1
4.5%
33 1
4.5%
35 1
4.5%
36 1
4.5%
40 2
9.1%
41 1
4.5%
53 1
4.5%
ValueCountFrequency (%)
867 1
4.5%
258 1
4.5%
251 1
4.5%
202 1
4.5%
125 1
4.5%
107 1
4.5%
106 1
4.5%
101 1
4.5%
82 1
4.5%
80 1
4.5%

전기승용 20년
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.590909
Minimum5
Maximum365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:16:59.313579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q110.25
median28.5
Q366.75
95-th percentile204.45
Maximum365
Range360
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation88.370249
Coefficient of variation (CV)1.389668
Kurtosis5.8081932
Mean63.590909
Median Absolute Deviation (MAD)19
Skewness2.3164062
Sum1399
Variance7809.3009
MonotonicityNot monotonic
2023-12-12T14:16:59.431958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8 2
 
9.1%
10 2
 
9.1%
72 1
 
4.5%
24 1
 
4.5%
15 1
 
4.5%
9 1
 
4.5%
30 1
 
4.5%
133 1
 
4.5%
51 1
 
4.5%
35 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
5 1
4.5%
8 2
9.1%
9 1
4.5%
10 2
9.1%
11 1
4.5%
12 1
4.5%
15 1
4.5%
24 1
4.5%
28 1
4.5%
29 1
4.5%
ValueCountFrequency (%)
365 1
4.5%
206 1
4.5%
175 1
4.5%
133 1
4.5%
118 1
4.5%
72 1
4.5%
51 1
4.5%
45 1
4.5%
35 1
4.5%
30 1
4.5%

전기승용 19년
Real number (ℝ)

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.590909
Minimum5
Maximum290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:16:59.579349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q18
median17.5
Q358.75
95-th percentile258.65
Maximum290
Range285
Interquartile range (IQR)50.75

Descriptive statistics

Standard deviation87.255323
Coefficient of variation (CV)1.5150885
Kurtosis2.6645256
Mean57.590909
Median Absolute Deviation (MAD)11
Skewness1.9589586
Sum1267
Variance7613.4913
MonotonicityNot monotonic
2023-12-12T14:16:59.728934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
5 4
18.2%
8 3
13.6%
20 2
 
9.1%
60 1
 
4.5%
15 1
 
4.5%
9 1
 
4.5%
85 1
 
4.5%
55 1
 
4.5%
25 1
 
4.5%
12 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
5 4
18.2%
8 3
13.6%
9 1
 
4.5%
12 1
 
4.5%
13 1
 
4.5%
15 1
 
4.5%
20 2
9.1%
25 1
 
4.5%
26 1
 
4.5%
55 1
 
4.5%
ValueCountFrequency (%)
290 1
4.5%
260 1
4.5%
233 1
4.5%
100 1
4.5%
85 1
4.5%
60 1
4.5%
55 1
4.5%
26 1
4.5%
25 1
4.5%
20 2
9.1%

전기승용 18년
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.363636
Minimum0
Maximum183
Zeros1
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:16:59.972974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.15
Q15.5
median12.5
Q322.75
95-th percentile152.05
Maximum183
Range183
Interquartile range (IQR)17.25

Descriptive statistics

Standard deviation49.749415
Coefficient of variation (CV)1.4911269
Kurtosis4.2212523
Mean33.363636
Median Absolute Deviation (MAD)7.5
Skewness2.2098551
Sum734
Variance2475.0043
MonotonicityNot monotonic
2023-12-12T14:17:00.112799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
5 3
 
13.6%
20 2
 
9.1%
12 2
 
9.1%
69 1
 
4.5%
15 1
 
4.5%
4 1
 
4.5%
22 1
 
4.5%
46 1
 
4.5%
0 1
 
4.5%
23 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
0 1
 
4.5%
1 1
 
4.5%
4 1
 
4.5%
5 3
13.6%
7 1
 
4.5%
10 1
 
4.5%
11 1
 
4.5%
12 2
9.1%
13 1
 
4.5%
15 1
 
4.5%
ValueCountFrequency (%)
183 1
4.5%
155 1
4.5%
96 1
4.5%
69 1
4.5%
46 1
4.5%
23 1
4.5%
22 1
4.5%
20 2
9.1%
15 1
4.5%
13 1
4.5%

전기승용 17년
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.636364
Minimum0
Maximum208
Zeros1
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:00.225067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12.25
median6
Q335.5
95-th percentile129.55
Maximum208
Range208
Interquartile range (IQR)33.25

Descriptive statistics

Standard deviation53.121196
Coefficient of variation (CV)1.792433
Kurtosis5.6998773
Mean29.636364
Median Absolute Deviation (MAD)4
Skewness2.3906161
Sum652
Variance2821.8615
MonotonicityNot monotonic
2023-12-12T14:17:00.326345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
6 5
22.7%
2 3
13.6%
5 2
 
9.1%
1 2
 
9.1%
51 1
 
4.5%
45 1
 
4.5%
208 1
 
4.5%
131 1
 
4.5%
53 1
 
4.5%
7 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
0 1
 
4.5%
1 2
 
9.1%
2 3
13.6%
3 1
 
4.5%
4 1
 
4.5%
5 2
 
9.1%
6 5
22.7%
7 1
 
4.5%
45 1
 
4.5%
51 1
 
4.5%
ValueCountFrequency (%)
208 1
 
4.5%
131 1
 
4.5%
102 1
 
4.5%
53 1
 
4.5%
51 1
 
4.5%
45 1
 
4.5%
7 1
 
4.5%
6 5
22.7%
5 2
 
9.1%
4 1
 
4.5%

전기승용 16년
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.227273
Minimum0
Maximum503
Zeros14
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:00.425688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile89.4
Maximum503
Range503
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation107.66081
Coefficient of variation (CV)3.5617111
Kurtosis20.111028
Mean30.227273
Median Absolute Deviation (MAD)0
Skewness4.4256954
Sum665
Variance11590.851
MonotonicityNot monotonic
2023-12-12T14:17:00.535730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 14
63.6%
1 2
 
9.1%
20 1
 
4.5%
92 1
 
4.5%
503 1
 
4.5%
5 1
 
4.5%
3 1
 
4.5%
40 1
 
4.5%
ValueCountFrequency (%)
0 14
63.6%
1 2
 
9.1%
3 1
 
4.5%
5 1
 
4.5%
20 1
 
4.5%
40 1
 
4.5%
92 1
 
4.5%
503 1
 
4.5%
ValueCountFrequency (%)
503 1
 
4.5%
92 1
 
4.5%
40 1
 
4.5%
20 1
 
4.5%
5 1
 
4.5%
3 1
 
4.5%
1 2
 
9.1%
0 14
63.6%

전기승용 15년까지
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.545455
Minimum0
Maximum143
Zeros4
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:00.633075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile58.5
Maximum143
Range143
Interquartile range (IQR)3

Descriptive statistics

Standard deviation31.998106
Coefficient of variation (CV)2.7714895
Kurtosis14.952891
Mean11.545455
Median Absolute Deviation (MAD)1.5
Skewness3.7965351
Sum254
Variance1023.8788
MonotonicityNot monotonic
2023-12-12T14:17:00.737023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 5
22.7%
2 4
18.2%
0 4
18.2%
3 2
 
9.1%
6 2
 
9.1%
4 2
 
9.1%
61 1
 
4.5%
11 1
 
4.5%
143 1
 
4.5%
ValueCountFrequency (%)
0 4
18.2%
1 5
22.7%
2 4
18.2%
3 2
 
9.1%
4 2
 
9.1%
6 2
 
9.1%
11 1
 
4.5%
61 1
 
4.5%
143 1
 
4.5%
ValueCountFrequency (%)
143 1
 
4.5%
61 1
 
4.5%
11 1
 
4.5%
6 2
 
9.1%
4 2
 
9.1%
3 2
 
9.1%
2 4
18.2%
1 5
22.7%
0 4
18.2%

전기이륜 23년6월
Real number (ℝ)

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.818182
Minimum10
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:00.856870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12.1
Q116.25
median22
Q334.75
95-th percentile80.25
Maximum95
Range85
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation24.019112
Coefficient of variation (CV)0.75488638
Kurtosis1.2972184
Mean31.818182
Median Absolute Deviation (MAD)6
Skewness1.5123567
Sum700
Variance576.91775
MonotonicityNot monotonic
2023-12-12T14:17:00.982637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
17 2
 
9.1%
16 2
 
9.1%
23 2
 
9.1%
28 2
 
9.1%
19 2
 
9.1%
15 1
 
4.5%
10 1
 
4.5%
61 1
 
4.5%
21 1
 
4.5%
14 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
10 1
4.5%
12 1
4.5%
14 1
4.5%
15 1
4.5%
16 2
9.1%
17 2
9.1%
19 2
9.1%
21 1
4.5%
23 2
9.1%
26 1
4.5%
ValueCountFrequency (%)
95 1
4.5%
81 1
4.5%
66 1
4.5%
61 1
4.5%
56 1
4.5%
37 1
4.5%
28 2
9.1%
26 1
4.5%
23 2
9.1%
21 1
4.5%

전기이륜 22년
Real number (ℝ)

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.363636
Minimum10
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:01.084213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12.15
Q124.25
median35
Q357.5
95-th percentile128.5
Maximum150
Range140
Interquartile range (IQR)33.25

Descriptive statistics

Standard deviation38.7686
Coefficient of variation (CV)0.78536758
Kurtosis1.2126421
Mean49.363636
Median Absolute Deviation (MAD)15
Skewness1.4132891
Sum1086
Variance1503.0043
MonotonicityNot monotonic
2023-12-12T14:17:01.196688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
35 2
 
9.1%
24 2
 
9.1%
100 2
 
9.1%
40 2
 
9.1%
50 2
 
9.1%
30 2
 
9.1%
15 1
 
4.5%
10 1
 
4.5%
26 1
 
4.5%
20 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
10 1
4.5%
12 1
4.5%
15 1
4.5%
20 1
4.5%
24 2
9.1%
25 1
4.5%
26 1
4.5%
30 2
9.1%
35 2
9.1%
40 2
9.1%
ValueCountFrequency (%)
150 1
4.5%
130 1
4.5%
100 2
9.1%
80 1
4.5%
60 1
4.5%
50 2
9.1%
40 2
9.1%
35 2
9.1%
30 2
9.1%
26 1
4.5%

전기이륜 21년
Real number (ℝ)

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.818182
Minimum5
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:01.321054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.25
Q120
median22.5
Q347.5
95-th percentile129
Maximum150
Range145
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation41.477058
Coefficient of variation (CV)0.99184269
Kurtosis1.6058415
Mean41.818182
Median Absolute Deviation (MAD)7.5
Skewness1.6392679
Sum920
Variance1720.3463
MonotonicityNot monotonic
2023-12-12T14:17:01.433687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20 7
31.8%
30 3
13.6%
50 2
 
9.1%
5 2
 
9.1%
130 1
 
4.5%
100 1
 
4.5%
150 1
 
4.5%
110 1
 
4.5%
10 1
 
4.5%
15 1
 
4.5%
Other values (2) 2
 
9.1%
ValueCountFrequency (%)
5 2
 
9.1%
10 1
 
4.5%
15 1
 
4.5%
20 7
31.8%
25 1
 
4.5%
30 3
13.6%
40 1
 
4.5%
50 2
 
9.1%
100 1
 
4.5%
110 1
 
4.5%
ValueCountFrequency (%)
150 1
 
4.5%
130 1
 
4.5%
110 1
 
4.5%
100 1
 
4.5%
50 2
 
9.1%
40 1
 
4.5%
30 3
13.6%
25 1
 
4.5%
20 7
31.8%
15 1
 
4.5%

전기이륜 20년
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.590909
Minimum0
Maximum127
Zeros3
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:01.556552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.25
median21
Q348.75
95-th percentile97.75
Maximum127
Range127
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation33.053577
Coefficient of variation (CV)1.0141962
Kurtosis2.23234
Mean32.590909
Median Absolute Deviation (MAD)16
Skewness1.5350857
Sum717
Variance1092.539
MonotonicityNot monotonic
2023-12-12T14:17:01.708646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
21 3
13.6%
0 3
13.6%
24 2
 
9.1%
15 2
 
9.1%
2 1
 
4.5%
35 1
 
4.5%
56 1
 
4.5%
20 1
 
4.5%
39 1
 
4.5%
10 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
0 3
13.6%
2 1
 
4.5%
9 1
 
4.5%
10 1
 
4.5%
15 2
9.1%
20 1
 
4.5%
21 3
13.6%
24 2
9.1%
35 1
 
4.5%
39 1
 
4.5%
ValueCountFrequency (%)
127 1
 
4.5%
99 1
 
4.5%
74 1
 
4.5%
56 1
 
4.5%
53 1
 
4.5%
52 1
 
4.5%
39 1
 
4.5%
35 1
 
4.5%
24 2
9.1%
21 3
13.6%

전기이륜 19년
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.409091
Minimum0
Maximum72
Zeros9
Zeros (%)40.9%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:01.965245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.5
Q324
95-th percentile49.1
Maximum72
Range72
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.246915
Coefficient of variation (CV)1.2490623
Kurtosis2.266444
Mean15.409091
Median Absolute Deviation (MAD)7.5
Skewness1.4704207
Sum339
Variance370.44372
MonotonicityNot monotonic
2023-12-12T14:17:02.349718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 9
40.9%
21 3
 
13.6%
32 2
 
9.1%
72 1
 
4.5%
25 1
 
4.5%
5 1
 
4.5%
17 1
 
4.5%
10 1
 
4.5%
50 1
 
4.5%
3 1
 
4.5%
ValueCountFrequency (%)
0 9
40.9%
3 1
 
4.5%
5 1
 
4.5%
10 1
 
4.5%
17 1
 
4.5%
21 3
 
13.6%
25 1
 
4.5%
30 1
 
4.5%
32 2
 
9.1%
50 1
 
4.5%
ValueCountFrequency (%)
72 1
 
4.5%
50 1
 
4.5%
32 2
9.1%
30 1
 
4.5%
25 1
 
4.5%
21 3
13.6%
17 1
 
4.5%
10 1
 
4.5%
5 1
 
4.5%
3 1
 
4.5%

전기이륜 18년까지
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8636364
Minimum0
Maximum50
Zeros13
Zeros (%)59.1%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:02.637985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.75
95-th percentile48.5
Maximum50
Range50
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation14.8558
Coefficient of variation (CV)1.8891769
Kurtosis4.8292275
Mean7.8636364
Median Absolute Deviation (MAD)0
Skewness2.3278116
Sum173
Variance220.69481
MonotonicityNot monotonic
2023-12-12T14:17:02.916461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 13
59.1%
50 2
 
9.1%
10 2
 
9.1%
4 1
 
4.5%
20 1
 
4.5%
9 1
 
4.5%
17 1
 
4.5%
3 1
 
4.5%
ValueCountFrequency (%)
0 13
59.1%
3 1
 
4.5%
4 1
 
4.5%
9 1
 
4.5%
10 2
 
9.1%
17 1
 
4.5%
20 1
 
4.5%
50 2
 
9.1%
ValueCountFrequency (%)
50 2
 
9.1%
20 1
 
4.5%
17 1
 
4.5%
10 2
 
9.1%
9 1
 
4.5%
4 1
 
4.5%
3 1
 
4.5%
0 13
59.1%

전기화물 23년6월
Real number (ℝ)

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.181818
Minimum20
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:03.195908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile30
Q137.5
median61.5
Q369.25
95-th percentile154.85
Maximum160
Range140
Interquartile range (IQR)31.75

Descriptive statistics

Standard deviation42.016591
Coefficient of variation (CV)0.61624334
Kurtosis0.6735269
Mean68.181818
Median Absolute Deviation (MAD)16.5
Skewness1.3123938
Sum1500
Variance1765.3939
MonotonicityNot monotonic
2023-12-12T14:17:03.388645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
65 3
13.6%
45 3
13.6%
35 3
13.6%
30 2
 
9.1%
67 1
 
4.5%
155 1
 
4.5%
160 1
 
4.5%
152 1
 
4.5%
128 1
 
4.5%
20 1
 
4.5%
Other values (5) 5
22.7%
ValueCountFrequency (%)
20 1
 
4.5%
30 2
9.1%
35 3
13.6%
45 3
13.6%
55 1
 
4.5%
60 1
 
4.5%
63 1
 
4.5%
65 3
13.6%
67 1
 
4.5%
70 1
 
4.5%
ValueCountFrequency (%)
160 1
 
4.5%
155 1
 
4.5%
152 1
 
4.5%
128 1
 
4.5%
75 1
 
4.5%
70 1
 
4.5%
67 1
 
4.5%
65 3
13.6%
63 1
 
4.5%
60 1
 
4.5%

전기화물 22년
Real number (ℝ)

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.772727
Minimum39
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:03.548093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile40.05
Q152
median64
Q374
95-th percentile253.8
Maximum300
Range261
Interquartile range (IQR)22

Descriptive statistics

Standard deviation69.272362
Coefficient of variation (CV)0.79831952
Kurtosis4.7842687
Mean86.772727
Median Absolute Deviation (MAD)12
Skewness2.2923783
Sum1909
Variance4798.6602
MonotonicityNot monotonic
2023-12-12T14:17:03.750458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
64 2
 
9.1%
65 2
 
9.1%
52 2
 
9.1%
55 1
 
4.5%
57 1
 
4.5%
76 1
 
4.5%
42 1
 
4.5%
68 1
 
4.5%
110 1
 
4.5%
40 1
 
4.5%
Other values (9) 9
40.9%
ValueCountFrequency (%)
39 1
4.5%
40 1
4.5%
41 1
4.5%
42 1
4.5%
46 1
4.5%
52 2
9.1%
55 1
4.5%
57 1
4.5%
58 1
4.5%
64 2
9.1%
ValueCountFrequency (%)
300 1
4.5%
259 1
4.5%
155 1
4.5%
134 1
4.5%
110 1
4.5%
76 1
4.5%
68 1
4.5%
67 1
4.5%
65 2
9.1%
64 2
9.1%

전기화물 21년
Real number (ℝ)

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.454545
Minimum10
Maximum152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:03.926835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13.1
Q120
median30
Q365.25
95-th percentile89.55
Maximum152
Range142
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation34.665376
Coefficient of variation (CV)0.77979374
Kurtosis3.0073563
Mean44.454545
Median Absolute Deviation (MAD)16
Skewness1.5890008
Sum978
Variance1201.6883
MonotonicityNot monotonic
2023-12-12T14:17:04.095993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20 3
 
13.6%
50 2
 
9.1%
30 2
 
9.1%
22 1
 
4.5%
60 1
 
4.5%
35 1
 
4.5%
21 1
 
4.5%
70 1
 
4.5%
25 1
 
4.5%
67 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
10 1
 
4.5%
13 1
 
4.5%
15 1
 
4.5%
17 1
 
4.5%
20 3
13.6%
21 1
 
4.5%
22 1
 
4.5%
25 1
 
4.5%
30 2
9.1%
35 1
 
4.5%
ValueCountFrequency (%)
152 1
4.5%
90 1
4.5%
81 1
4.5%
80 1
4.5%
70 1
4.5%
67 1
4.5%
60 1
4.5%
50 2
9.1%
35 1
4.5%
30 2
9.1%

전기화물 20년
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.409091
Minimum0
Maximum75
Zeros5
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:04.249740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median10.5
Q320.75
95-th percentile69.85
Maximum75
Range75
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation23.41074
Coefficient of variation (CV)1.2716945
Kurtosis1.5615972
Mean18.409091
Median Absolute Deviation (MAD)10
Skewness1.6264518
Sum405
Variance548.06277
MonotonicityNot monotonic
2023-12-12T14:17:04.460493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 5
22.7%
4 2
 
9.1%
11 2
 
9.1%
20 1
 
4.5%
8 1
 
4.5%
21 1
 
4.5%
22 1
 
4.5%
3 1
 
4.5%
19 1
 
4.5%
7 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
0 5
22.7%
3 1
 
4.5%
4 2
 
9.1%
7 1
 
4.5%
8 1
 
4.5%
10 1
 
4.5%
11 2
 
9.1%
13 1
 
4.5%
19 1
 
4.5%
20 1
 
4.5%
ValueCountFrequency (%)
75 1
4.5%
70 1
4.5%
67 1
4.5%
40 1
4.5%
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
13 1
4.5%
11 2
9.1%

전기버스 23년6월
Categorical

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
13 
1
4 
3
2 
4
2 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row1
2nd row3
3rd row4
4th row0
5th row5

Common Values

ValueCountFrequency (%)
0 13
59.1%
1 4
 
18.2%
3 2
 
9.1%
4 2
 
9.1%
5 1
 
4.5%

Length

2023-12-12T14:17:04.662581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:17:04.811887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
59.1%
1 4
 
18.2%
3 2
 
9.1%
4 2
 
9.1%
5 1
 
4.5%

전기버스 22년
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9545455
Minimum0
Maximum12
Zeros4
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:17:04.948039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7.85
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8698311
Coefficient of variation (CV)0.97132746
Kurtosis3.7634002
Mean2.9545455
Median Absolute Deviation (MAD)1.5
Skewness1.6988917
Sum65
Variance8.2359307
MonotonicityNot monotonic
2023-12-12T14:17:05.107597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 5
22.7%
0 4
18.2%
5 3
13.6%
3 3
13.6%
1 3
13.6%
4 2
 
9.1%
12 1
 
4.5%
8 1
 
4.5%
ValueCountFrequency (%)
0 4
18.2%
1 3
13.6%
2 5
22.7%
3 3
13.6%
4 2
 
9.1%
5 3
13.6%
8 1
 
4.5%
12 1
 
4.5%
ValueCountFrequency (%)
12 1
 
4.5%
8 1
 
4.5%
5 3
13.6%
4 2
 
9.1%
3 3
13.6%
2 5
22.7%
1 3
13.6%
0 4
18.2%

전기버스 21년
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
20 
8
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row8

Common Values

ValueCountFrequency (%)
0 20
90.9%
8 1
 
4.5%
1 1
 
4.5%

Length

2023-12-12T14:17:05.277123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:17:05.400547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
90.9%
8 1
 
4.5%
1 1
 
4.5%

전기버스 20년
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
19 
4
2 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row0
2nd row0
3rd row5
4th row4
5th row0

Common Values

ValueCountFrequency (%)
0 19
86.4%
4 2
 
9.1%
5 1
 
4.5%

Length

2023-12-12T14:17:05.530983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:17:05.659913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
86.4%
4 2
 
9.1%
5 1
 
4.5%

전기굴착기 22년
Categorical

IMBALANCE 

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
18 
1
2 
10
 
1
2
 
1

Length

Max length2
Median length1
Mean length1.0454545
Min length1

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row10

Common Values

ValueCountFrequency (%)
0 18
81.8%
1 2
 
9.1%
10 1
 
4.5%
2 1
 
4.5%

Length

2023-12-12T14:17:06.120445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:17:06.262098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
81.8%
1 2
 
9.1%
10 1
 
4.5%
2 1
 
4.5%

Sample

시군명전기승용 23년 6월전기승용 22년전기승용 21년전기승용 20년전기승용 19년전기승용 18년전기승용 17년전기승용 16년전기승용 15년까지전기이륜 23년6월전기이륜 22년전기이륜 21년전기이륜 20년전기이륜 19년전기이륜 18년까지전기화물 23년6월전기화물 22년전기화물 21년전기화물 20년전기버스 23년6월전기버스 22년전기버스 21년전기버스 20년전기굴착기 22년
0목포309442106726069510326352021214675822410000
1여수227104725817523396452068113013012772201552591527032000
2순천40094325136526015520892619515010052250160134816744050
3나주2105552022062901831315031166100150993250152155804005041
4광양30013101251181001053565680302421912830090755128010
5담양752488012131371423402053006567501100040
6곡성451224055540112122021504539501004000
7구례451632311876012850500320204115013000
8고흥8022353298115013760110741717555220700000
9보성70162361051201172520242110354613002000
시군명전기승용 23년 6월전기승용 22년전기승용 21년전기승용 20년전기승용 19년전기승용 18년전기승용 17년전기승용 16년전기승용 15년까지전기이륜 23년6월전기이륜 22년전기이륜 21년전기이륜 20년전기이륜 19년전기이륜 18년까지전기화물 23년6월전기화물 22년전기화물 21년전기화물 20년전기버스 23년6월전기버스 22년전기버스 21년전기버스 20년전기굴착기 22년
12강진75166271085102142015200354020001002
13해남7525535282012600234025390075110602005000
14영암7520910135252060317262015006065301105000
15무안125284825155232001624202110104568671901000
16함평60170608501112135402003354225303000
17영광1053171071338546102401436110050565050656520042000
18장성611673330922602101050306576702200000
19완도351552192020604285030353004557302112000
20진도35163188540001930201500305221403000
21신안701618671515520015155000706435838101