Overview

Dataset statistics

Number of variables21
Number of observations37
Missing cells144
Missing cells (%)18.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory189.6 B

Variable types

Categorical6
Numeric15

Dataset

Description부산광역시_120바로콜센터차량잔가율정보_20210101
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15078203

Alerts

콜센터 has constant value ""Constant
5년 has 5 (13.5%) missing valuesMissing
6년 has 5 (13.5%) missing valuesMissing
7년 has 15 (40.5%) missing valuesMissing
8년 has 17 (45.9%) missing valuesMissing
9년 has 17 (45.9%) missing valuesMissing
10년 has 17 (45.9%) missing valuesMissing
11년 has 17 (45.9%) missing valuesMissing
12년 has 17 (45.9%) missing valuesMissing
13년 has 17 (45.9%) missing valuesMissing
14년 has 17 (45.9%) missing valuesMissing

Reproduction

Analysis started2024-03-13 13:15:56.082577
Analysis finished2024-03-13 13:15:56.296989
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

콜센터
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
120
37 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row120
2nd row120
3rd row120
4th row120
5th row120

Common Values

ValueCountFrequency (%)
120 37
100.0%

Length

2024-03-13T22:15:56.372354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:15:56.478565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
120 37
100.0%

해당년도
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
2018
9 
2017
7 
2019
7 
2020
7 
2021
7 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2018 9
24.3%
2017 7
18.9%
2019 7
18.9%
2020 7
18.9%
2021 7
18.9%

Length

2024-03-13T22:15:56.583781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:15:56.701848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 9
24.3%
2017 7
18.9%
2019 7
18.9%
2020 7
18.9%
2021 7
18.9%

구분
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
국산
32 
외산
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국산 32
86.5%
외산 5
 
13.5%

Length

2024-03-13T22:15:56.829366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:15:56.938661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국산 32
86.5%
외산 5
 
13.5%

차종
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
승용
15 
승합
10 
화물
10 
이륜
2 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row승용
2nd row승용
3rd row승합
4th row승합
5th row화물

Common Values

ValueCountFrequency (%)
승용 15
40.5%
승합 10
27.0%
화물 10
27.0%
이륜 2
 
5.4%

Length

2024-03-13T22:15:57.045365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:15:57.177730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승용 15
40.5%
승합 10
27.0%
화물 10
27.0%
이륜 2
 
5.4%

용도
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
비영업용
21 
영업용
16 

Length

Max length4
Median length4
Mean length3.5675676
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비영업용
2nd row영업용
3rd row비영업용
4th row영업용
5th row비영업용

Common Values

ValueCountFrequency (%)
비영업용 21
56.8%
영업용 16
43.2%

Length

2024-03-13T22:15:57.291700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:15:57.387563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비영업용 21
56.8%
영업용 16
43.2%

1년미만
Real number (ℝ)

Distinct15
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.76475676
Minimum0.702
Maximum0.842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:15:57.468363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.702
5-th percentile0.702
Q10.703
median0.779
Q30.81
95-th percentile0.8292
Maximum0.842
Range0.14
Interquartile range (IQR)0.107

Descriptive statistics

Standard deviation0.051097622
Coefficient of variation (CV)0.066815522
Kurtosis-1.6453496
Mean0.76475676
Median Absolute Deviation (MAD)0.041
Skewness-0.16417859
Sum28.296
Variance0.002610967
MonotonicityNot monotonic
2024-03-13T22:15:57.571669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.703 6
16.2%
0.708 4
10.8%
0.702 4
10.8%
0.794 3
8.1%
0.81 3
8.1%
0.786 2
 
5.4%
0.801 2
 
5.4%
0.778 2
 
5.4%
0.826 2
 
5.4%
0.82 2
 
5.4%
Other values (5) 7
18.9%
ValueCountFrequency (%)
0.702 4
10.8%
0.703 6
16.2%
0.708 4
10.8%
0.761 2
 
5.4%
0.778 2
 
5.4%
0.779 1
 
2.7%
0.786 2
 
5.4%
0.794 3
8.1%
0.801 2
 
5.4%
0.802 1
 
2.7%
ValueCountFrequency (%)
0.842 2
5.4%
0.826 2
5.4%
0.82 2
5.4%
0.817 1
 
2.7%
0.81 3
8.1%
0.802 1
 
2.7%
0.801 2
5.4%
0.794 3
8.1%
0.786 2
5.4%
0.779 1
 
2.7%

1년
Real number (ℝ)

Distinct9
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65259459
Minimum0.561
Maximum0.729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:15:57.678480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.561
5-th percentile0.561
Q10.562
median0.671
Q30.726
95-th percentile0.729
Maximum0.729
Range0.168
Interquartile range (IQR)0.164

Descriptive statistics

Standard deviation0.07649817
Coefficient of variation (CV)0.11722158
Kurtosis-1.8748974
Mean0.65259459
Median Absolute Deviation (MAD)0.058
Skewness-0.24706006
Sum24.146
Variance0.00585197
MonotonicityNot monotonic
2024-03-13T22:15:57.782419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.562 10
27.0%
0.726 6
16.2%
0.725 5
13.5%
0.729 5
13.5%
0.561 4
 
10.8%
0.704 2
 
5.4%
0.644 2
 
5.4%
0.671 2
 
5.4%
0.618 1
 
2.7%
ValueCountFrequency (%)
0.561 4
 
10.8%
0.562 10
27.0%
0.618 1
 
2.7%
0.644 2
 
5.4%
0.671 2
 
5.4%
0.704 2
 
5.4%
0.725 5
13.5%
0.726 6
16.2%
0.729 5
13.5%
ValueCountFrequency (%)
0.729 5
13.5%
0.726 6
16.2%
0.725 5
13.5%
0.704 2
 
5.4%
0.671 2
 
5.4%
0.644 2
 
5.4%
0.618 1
 
2.7%
0.562 10
27.0%
0.561 4
 
10.8%

2년
Real number (ℝ)

Distinct10
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52667568
Minimum0.316
Maximum0.614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:15:57.918984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.316
5-th percentile0.316
Q10.464
median0.597
Q30.609
95-th percentile0.614
Maximum0.614
Range0.298
Interquartile range (IQR)0.145

Descriptive statistics

Standard deviation0.10167105
Coefficient of variation (CV)0.193043
Kurtosis-0.23325187
Mean0.52667568
Median Absolute Deviation (MAD)0.017
Skewness-0.96875963
Sum19.487
Variance0.010337003
MonotonicityNot monotonic
2024-03-13T22:15:58.053395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.609 6
16.2%
0.464 6
16.2%
0.614 5
13.5%
0.605 5
13.5%
0.316 4
10.8%
0.597 4
10.8%
0.463 2
 
5.4%
0.514 2
 
5.4%
0.5 2
 
5.4%
0.348 1
 
2.7%
ValueCountFrequency (%)
0.316 4
10.8%
0.348 1
 
2.7%
0.463 2
 
5.4%
0.464 6
16.2%
0.5 2
 
5.4%
0.514 2
 
5.4%
0.597 4
10.8%
0.605 5
13.5%
0.609 6
16.2%
0.614 5
13.5%
ValueCountFrequency (%)
0.614 5
13.5%
0.609 6
16.2%
0.605 5
13.5%
0.597 4
10.8%
0.514 2
 
5.4%
0.5 2
 
5.4%
0.464 6
16.2%
0.463 2
 
5.4%
0.348 1
 
2.7%
0.316 4
10.8%

3년
Real number (ℝ)

Distinct8
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.40848649
Minimum0.178
Maximum0.518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:15:58.152466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.178
5-th percentile0.178
Q10.316
median0.5
Q30.51
95-th percentile0.518
Maximum0.518
Range0.34
Interquartile range (IQR)0.194

Descriptive statistics

Standard deviation0.12206456
Coefficient of variation (CV)0.29882154
Kurtosis-0.89414386
Mean0.40848649
Median Absolute Deviation (MAD)0.018
Skewness-0.71438176
Sum15.114
Variance0.014899757
MonotonicityNot monotonic
2024-03-13T22:15:58.255465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.51 10
27.0%
0.316 8
21.6%
0.518 5
13.5%
0.5 5
13.5%
0.178 4
 
10.8%
0.367 2
 
5.4%
0.377 2
 
5.4%
0.196 1
 
2.7%
ValueCountFrequency (%)
0.178 4
 
10.8%
0.196 1
 
2.7%
0.316 8
21.6%
0.367 2
 
5.4%
0.377 2
 
5.4%
0.5 5
13.5%
0.51 10
27.0%
0.518 5
13.5%
ValueCountFrequency (%)
0.518 5
13.5%
0.51 10
27.0%
0.5 5
13.5%
0.377 2
 
5.4%
0.367 2
 
5.4%
0.316 8
21.6%
0.196 1
 
2.7%
0.178 4
 
10.8%

4년
Real number (ℝ)

Distinct9
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32008108
Minimum0.1
Maximum0.437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:15:58.362593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.215
median0.412
Q30.426
95-th percentile0.437
Maximum0.437
Range0.337
Interquartile range (IQR)0.211

Descriptive statistics

Standard deviation0.12464001
Coefficient of variation (CV)0.38940137
Kurtosis-1.1950257
Mean0.32008108
Median Absolute Deviation (MAD)0.025
Skewness-0.59034416
Sum11.843
Variance0.015535132
MonotonicityNot monotonic
2024-03-13T22:15:58.495606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.426 10
27.0%
0.215 6
16.2%
0.437 5
13.5%
0.1 5
13.5%
0.412 5
13.5%
0.219 2
 
5.4%
0.28 2
 
5.4%
0.262 1
 
2.7%
0.288 1
 
2.7%
ValueCountFrequency (%)
0.1 5
13.5%
0.215 6
16.2%
0.219 2
 
5.4%
0.262 1
 
2.7%
0.28 2
 
5.4%
0.288 1
 
2.7%
0.412 5
13.5%
0.426 10
27.0%
0.437 5
13.5%
ValueCountFrequency (%)
0.437 5
13.5%
0.426 10
27.0%
0.412 5
13.5%
0.288 1
 
2.7%
0.28 2
 
5.4%
0.262 1
 
2.7%
0.219 2
 
5.4%
0.215 6
16.2%
0.1 5
13.5%

5년
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)28.1%
Missing5
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.28584375
Minimum0.147
Maximum0.368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:15:58.631306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.147
5-th percentile0.147
Q10.1785
median0.34
Q30.357
95-th percentile0.368
Maximum0.368
Range0.221
Interquartile range (IQR)0.1785

Descriptive statistics

Standard deviation0.093886036
Coefficient of variation (CV)0.3284523
Kurtosis-1.5264023
Mean0.28584375
Median Absolute Deviation (MAD)0.028
Skewness-0.64497795
Sum9.147
Variance0.0088145877
MonotonicityNot monotonic
2024-03-13T22:15:58.739011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.357 10
27.0%
0.147 6
16.2%
0.368 5
13.5%
0.34 5
13.5%
0.153 2
 
5.4%
0.187 1
 
2.7%
0.205 1
 
2.7%
0.215 1
 
2.7%
0.242 1
 
2.7%
(Missing) 5
13.5%
ValueCountFrequency (%)
0.147 6
16.2%
0.153 2
 
5.4%
0.187 1
 
2.7%
0.205 1
 
2.7%
0.215 1
 
2.7%
0.242 1
 
2.7%
0.34 5
13.5%
0.357 10
27.0%
0.368 5
13.5%
ValueCountFrequency (%)
0.368 5
13.5%
0.357 10
27.0%
0.34 5
13.5%
0.242 1
 
2.7%
0.215 1
 
2.7%
0.205 1
 
2.7%
0.187 1
 
2.7%
0.153 2
 
5.4%
0.147 6
16.2%

6년
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)18.8%
Missing5
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.228125
Minimum0.1
Maximum0.311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:15:58.874775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.281
Q30.298
95-th percentile0.311
Maximum0.311
Range0.211
Interquartile range (IQR)0.198

Descriptive statistics

Standard deviation0.09265571
Coefficient of variation (CV)0.40616202
Kurtosis-1.6022734
Mean0.228125
Median Absolute Deviation (MAD)0.03
Skewness-0.61804695
Sum7.3
Variance0.0085850806
MonotonicityNot monotonic
2024-03-13T22:15:59.003094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.298 10
27.0%
0.1 10
27.0%
0.311 5
13.5%
0.281 5
13.5%
0.17 1
 
2.7%
0.19 1
 
2.7%
(Missing) 5
13.5%
ValueCountFrequency (%)
0.1 10
27.0%
0.17 1
 
2.7%
0.19 1
 
2.7%
0.281 5
13.5%
0.298 10
27.0%
0.311 5
13.5%
ValueCountFrequency (%)
0.311 5
13.5%
0.298 10
27.0%
0.281 5
13.5%
0.19 1
 
2.7%
0.17 1
 
2.7%
0.1 10
27.0%

7년
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)31.8%
Missing15
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean0.23854545
Minimum0.1
Maximum0.262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:15:59.113270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1541
Q10.232
median0.25
Q30.259
95-th percentile0.262
Maximum0.262
Range0.162
Interquartile range (IQR)0.027

Descriptive statistics

Standard deviation0.03913679
Coefficient of variation (CV)0.16406429
Kurtosis8.1952612
Mean0.23854545
Median Absolute Deviation (MAD)0.012
Skewness-2.8446289
Sum5.248
Variance0.0015316883
MonotonicityNot monotonic
2024-03-13T22:15:59.263173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.25 6
 
16.2%
0.262 5
 
13.5%
0.232 5
 
13.5%
0.255 2
 
5.4%
0.259 2
 
5.4%
0.1 1
 
2.7%
0.15 1
 
2.7%
(Missing) 15
40.5%
ValueCountFrequency (%)
0.1 1
 
2.7%
0.15 1
 
2.7%
0.232 5
13.5%
0.25 6
16.2%
0.255 2
 
5.4%
0.259 2
 
5.4%
0.262 5
13.5%
ValueCountFrequency (%)
0.262 5
13.5%
0.259 2
 
5.4%
0.255 2
 
5.4%
0.25 6
16.2%
0.232 5
13.5%
0.15 1
 
2.7%
0.1 1
 
2.7%

8년
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)30.0%
Missing17
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean0.20975
Minimum0.172
Maximum0.229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:15:59.398770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.172
5-th percentile0.19005
Q10.2045
median0.215
Q30.221
95-th percentile0.229
Maximum0.229
Range0.057
Interquartile range (IQR)0.0165

Descriptive statistics

Standard deviation0.015074813
Coefficient of variation (CV)0.071870386
Kurtosis0.49355752
Mean0.20975
Median Absolute Deviation (MAD)0.006
Skewness-0.99351364
Sum4.195
Variance0.00022725
MonotonicityNot monotonic
2024-03-13T22:15:59.516796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.221 5
 
13.5%
0.209 4
 
10.8%
0.191 4
 
10.8%
0.215 4
 
10.8%
0.229 2
 
5.4%
0.172 1
 
2.7%
(Missing) 17
45.9%
ValueCountFrequency (%)
0.172 1
 
2.7%
0.191 4
10.8%
0.209 4
10.8%
0.215 4
10.8%
0.221 5
13.5%
0.229 2
 
5.4%
ValueCountFrequency (%)
0.229 2
 
5.4%
0.221 5
13.5%
0.215 4
10.8%
0.209 4
10.8%
0.191 4
10.8%
0.172 1
 
2.7%

9년
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)35.0%
Missing17
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean0.1768
Minimum0.142
Maximum0.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:15:59.627067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.142
5-th percentile0.1572
Q10.17075
median0.182
Q30.186
95-th percentile0.2
Maximum0.2
Range0.058
Interquartile range (IQR)0.01525

Descriptive statistics

Standard deviation0.015035397
Coefficient of variation (CV)0.085041837
Kurtosis0.11964746
Mean0.1768
Median Absolute Deviation (MAD)0.007
Skewness-0.66843361
Sum3.536
Variance0.00022606316
MonotonicityNot monotonic
2024-03-13T22:15:59.762810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.186 5
 
13.5%
0.175 4
 
10.8%
0.158 4
 
10.8%
0.182 2
 
5.4%
0.184 2
 
5.4%
0.2 2
 
5.4%
0.142 1
 
2.7%
(Missing) 17
45.9%
ValueCountFrequency (%)
0.142 1
 
2.7%
0.158 4
10.8%
0.175 4
10.8%
0.182 2
 
5.4%
0.184 2
 
5.4%
0.186 5
13.5%
0.2 2
 
5.4%
ValueCountFrequency (%)
0.2 2
 
5.4%
0.186 5
13.5%
0.184 2
 
5.4%
0.182 2
 
5.4%
0.175 4
10.8%
0.158 4
10.8%
0.142 1
 
2.7%

10년
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)30.0%
Missing17
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean0.1485
Minimum0.117
Maximum0.172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:15:59.900565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.117
5-th percentile0.12935
Q10.142
median0.153
Q30.157
95-th percentile0.172
Maximum0.172
Range0.055
Interquartile range (IQR)0.015

Descriptive statistics

Standard deviation0.014576477
Coefficient of variation (CV)0.098158095
Kurtosis-0.17795169
Mean0.1485
Median Absolute Deviation (MAD)0.007
Skewness-0.49485737
Sum2.97
Variance0.00021247368
MonotonicityNot monotonic
2024-03-13T22:16:00.014425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.157 7
18.9%
0.146 4
 
10.8%
0.13 4
 
10.8%
0.153 2
 
5.4%
0.172 2
 
5.4%
0.117 1
 
2.7%
(Missing) 17
45.9%
ValueCountFrequency (%)
0.117 1
 
2.7%
0.13 4
10.8%
0.146 4
10.8%
0.153 2
 
5.4%
0.157 7
18.9%
0.172 2
 
5.4%
ValueCountFrequency (%)
0.172 2
 
5.4%
0.157 7
18.9%
0.153 2
 
5.4%
0.146 4
10.8%
0.13 4
10.8%
0.117 1
 
2.7%

11년
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)35.0%
Missing17
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean0.12525
Minimum0.097
Maximum0.149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:16:00.183830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.097
5-th percentile0.10745
Q10.1185
median0.131
Q30.132
95-th percentile0.149
Maximum0.149
Range0.052
Interquartile range (IQR)0.0135

Descriptive statistics

Standard deviation0.013775932
Coefficient of variation (CV)0.10998748
Kurtosis-0.22532051
Mean0.12525
Median Absolute Deviation (MAD)0.009
Skewness-0.29445327
Sum2.505
Variance0.00018977632
MonotonicityNot monotonic
2024-03-13T22:16:00.314661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.132 5
 
13.5%
0.122 4
 
10.8%
0.108 4
 
10.8%
0.131 2
 
5.4%
0.134 2
 
5.4%
0.149 2
 
5.4%
0.097 1
 
2.7%
(Missing) 17
45.9%
ValueCountFrequency (%)
0.097 1
 
2.7%
0.108 4
10.8%
0.122 4
10.8%
0.131 2
 
5.4%
0.132 5
13.5%
0.134 2
 
5.4%
0.149 2
 
5.4%
ValueCountFrequency (%)
0.149 2
 
5.4%
0.134 2
 
5.4%
0.132 5
13.5%
0.131 2
 
5.4%
0.122 4
10.8%
0.108 4
10.8%
0.097 1
 
2.7%

12년
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)35.0%
Missing17
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean0.1053
Minimum0.08
Maximum0.128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:16:00.427820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.08855
Q10.09875
median0.11
Q30.112
95-th percentile0.128
Maximum0.128
Range0.048
Interquartile range (IQR)0.01325

Descriptive statistics

Standard deviation0.012904915
Coefficient of variation (CV)0.1225538
Kurtosis-0.30503201
Mean0.1053
Median Absolute Deviation (MAD)0.008
Skewness-0.20795225
Sum2.106
Variance0.00016653684
MonotonicityNot monotonic
2024-03-13T22:16:00.540510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.112 5
 
13.5%
0.102 4
 
10.8%
0.089 4
 
10.8%
0.11 2
 
5.4%
0.113 2
 
5.4%
0.128 2
 
5.4%
0.08 1
 
2.7%
(Missing) 17
45.9%
ValueCountFrequency (%)
0.08 1
 
2.7%
0.089 4
10.8%
0.102 4
10.8%
0.11 2
 
5.4%
0.112 5
13.5%
0.113 2
 
5.4%
0.128 2
 
5.4%
ValueCountFrequency (%)
0.128 2
 
5.4%
0.113 2
 
5.4%
0.112 5
13.5%
0.11 2
 
5.4%
0.102 4
10.8%
0.089 4
10.8%
0.08 1
 
2.7%

13년
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)40.0%
Missing17
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean0.08845
Minimum0.066
Maximum0.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:16:00.683517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.066
5-th percentile0.07265
Q10.08225
median0.093
Q30.094
95-th percentile0.11
Maximum0.11
Range0.044
Interquartile range (IQR)0.01175

Descriptive statistics

Standard deviation0.011820923
Coefficient of variation (CV)0.13364525
Kurtosis-0.26200944
Mean0.08845
Median Absolute Deviation (MAD)0.008
Skewness-0.081393493
Sum1.769
Variance0.00013973421
MonotonicityNot monotonic
2024-03-13T22:16:00.801666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.094 5
 
13.5%
0.085 4
 
10.8%
0.074 3
 
8.1%
0.093 2
 
5.4%
0.096 2
 
5.4%
0.11 2
 
5.4%
0.073 1
 
2.7%
0.066 1
 
2.7%
(Missing) 17
45.9%
ValueCountFrequency (%)
0.066 1
 
2.7%
0.073 1
 
2.7%
0.074 3
8.1%
0.085 4
10.8%
0.093 2
 
5.4%
0.094 5
13.5%
0.096 2
 
5.4%
0.11 2
 
5.4%
ValueCountFrequency (%)
0.11 2
 
5.4%
0.096 2
 
5.4%
0.094 5
13.5%
0.093 2
 
5.4%
0.085 4
10.8%
0.074 3
8.1%
0.073 1
 
2.7%
0.066 1
 
2.7%

14년
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)40.0%
Missing17
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean0.07465
Minimum0.054
Maximum0.098
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T22:16:00.922133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.054
5-th percentile0.0597
Q10.06925
median0.079
Q30.079
95-th percentile0.09515
Maximum0.098
Range0.044
Interquartile range (IQR)0.00975

Descriptive statistics

Standard deviation0.011240317
Coefficient of variation (CV)0.15057358
Kurtosis0.11175594
Mean0.07465
Median Absolute Deviation (MAD)0.007
Skewness0.106752
Sum1.493
Variance0.00012634474
MonotonicityNot monotonic
2024-03-13T22:16:01.036559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.079 7
18.9%
0.072 4
 
10.8%
0.061 3
 
8.1%
0.081 2
 
5.4%
0.095 1
 
2.7%
0.06 1
 
2.7%
0.098 1
 
2.7%
0.054 1
 
2.7%
(Missing) 17
45.9%
ValueCountFrequency (%)
0.054 1
 
2.7%
0.06 1
 
2.7%
0.061 3
8.1%
0.072 4
10.8%
0.079 7
18.9%
0.081 2
 
5.4%
0.095 1
 
2.7%
0.098 1
 
2.7%
ValueCountFrequency (%)
0.098 1
 
2.7%
0.095 1
 
2.7%
0.081 2
 
5.4%
0.079 7
18.9%
0.072 4
10.8%
0.061 3
8.1%
0.06 1
 
2.7%
0.054 1
 
2.7%

15년
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
17 
0.067
9 
0.06
5 
0.05
5 
0.086
 
1

Length

Max length5
Median length4
Mean length4.2702703
Min length4

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row0.067
2nd row<NA>
3rd row0.06
4th row<NA>
5th row0.06

Common Values

ValueCountFrequency (%)
<NA> 17
45.9%
0.067 9
24.3%
0.06 5
 
13.5%
0.05 5
 
13.5%
0.086 1
 
2.7%

Length

2024-03-13T22:16:01.177527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:16:01.317235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
45.9%
0.067 9
24.3%
0.06 5
 
13.5%
0.05 5
 
13.5%
0.086 1
 
2.7%

Sample

콜센터해당년도구분차종용도1년미만1년2년3년4년5년6년7년8년9년10년11년12년13년14년15년
01202017국산승용비영업용0.7860.7250.6140.5180.4370.3680.3110.2620.2210.1860.1570.1320.1120.0940.0790.067
11202017국산승용영업용0.7080.5620.3160.1780.1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21202017국산승합비영업용0.7940.7260.6090.510.4260.3570.2980.250.2090.1750.1460.1220.1020.0850.0720.06
31202017국산승합영업용0.7030.5620.4640.3160.2150.1470.1<NA><NA><NA><NA><NA><NA><NA><NA><NA>
41202017국산화물비영업용0.7940.7260.6090.510.4260.3570.2980.250.2090.1750.1460.1220.1020.0850.0720.06
51202017국산화물영업용0.7030.5620.4640.3160.2150.1470.1<NA><NA><NA><NA><NA><NA><NA><NA><NA>
61202017외산승용비영업용0.8010.7290.6050.50.4120.340.2810.2320.1910.1580.130.1080.0890.0740.0610.05
71202018국산승용비영업용0.7860.7250.6140.5180.4370.3680.3110.2620.2210.1860.1570.1320.1120.0940.0790.067
81202018국산승용영업용0.7080.5620.3160.1780.1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
91202018국산승합비영업용0.7940.7260.6090.510.4260.3570.2980.250.2090.1750.1460.1220.1020.0850.0720.06
콜센터해당년도구분차종용도1년미만1년2년3년4년5년6년7년8년9년10년11년12년13년14년15년
271202020국산화물비영업용0.7610.6710.5970.510.4260.3570.2980.2590.2290.20.1720.1490.1280.110.0950.067
281202020국산화물영업용0.7020.5610.50.3770.280.2050.1<NA><NA><NA><NA><NA><NA><NA><NA><NA>
291202020외산승용비영업용0.8420.7290.6050.50.4120.340.2810.2320.1910.1580.130.1080.0890.0730.060.05
301202021국산승용비영업용0.8260.7250.6140.5180.4370.3680.3110.2620.2210.1860.1570.1320.1120.0940.0790.067
311202021국산승용영업용0.7790.6180.3480.1960.1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
321202021국산승합비영업용0.810.7260.6090.510.4260.3570.2980.250.2150.1840.1570.1340.1130.0960.0810.067
331202021국산승합영업용0.820.6440.5140.3670.2880.2150.170.1<NA><NA><NA><NA><NA><NA><NA><NA>
341202021국산화물비영업용0.7610.6710.5970.510.4260.3570.2980.2590.2290.20.1720.1490.1280.110.0980.086
351202021국산화물영업용0.7020.5610.50.3770.280.2420.190.15<NA><NA><NA><NA><NA><NA><NA><NA>
361202021외산승용비영업용0.8420.7290.6050.50.4120.340.2810.2320.1720.1420.1170.0970.080.0660.0540.05