Overview

Dataset statistics

Number of variables38
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.1 KiB
Average record size in memory343.2 B

Variable types

Text1
Numeric30
Categorical7

Dataset

Description한국교통안전공단 자동차검사관리시스템을 통해 수집되는 자동차검사소의 검사 정보 (자동차 부적합된 자동차 정보)
URLhttps://www.data.go.kr/data/15047451/fileData.do

Alerts

액화 has constant value ""Constant
엘피지(LPG) has constant value ""Constant
조속 is highly imbalanced (74.3%)Imbalance
수리 is highly imbalanced (70.3%)Imbalance
검사소 has unique valuesUnique
등화 has unique valuesUnique
제동력 has unique valuesUnique
전조등 has unique valuesUnique
동력 has 5 (8.3%) zerosZeros
조향 has 5 (8.3%) zerosZeros
제동 has 1 (1.7%) zerosZeros
완충 has 3 (5.0%) zerosZeros
연료 has 1 (1.7%) zerosZeros
전기 has 1 (1.7%) zerosZeros
차체 has 1 (1.7%) zerosZeros
연결 has 4 (6.7%) zerosZeros
승차 has 1 (1.7%) zerosZeros
물품 has 1 (1.7%) zerosZeros
창유 has 1 (1.7%) zerosZeros
배기 has 1 (1.7%) zerosZeros
경보 has 1 (1.7%) zerosZeros
시야 has 24 (40.0%) zerosZeros
계기 has 1 (1.7%) zerosZeros
기타 has 1 (1.7%) zerosZeros
사이드 has 1 (1.7%) zerosZeros
공기 has 1 (1.7%) zerosZeros
배기가스 has 1 (1.7%) zerosZeros
속도계 has 4 (6.7%) zerosZeros
경적음 has 2 (3.3%) zerosZeros
배기음 has 6 (10.0%) zerosZeros

Reproduction

Analysis started2023-12-12 22:07:20.577574
Analysis finished2023-12-12 22:07:20.889790
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

검사소
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T07:07:21.039791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.1166667
Min length8

Characters and Unicode

Total characters487
Distinct characters73
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row강남자동차검사소
2nd row성산자동차검사소
3rd row노원자동차검사소
4th row구로자동차검사소
5th row성동자동차검사소
ValueCountFrequency (%)
강남자동차검사소 1
 
1.7%
성산자동차검사소 1
 
1.7%
원주자동차검사소 1
 
1.7%
울산자동차검사소 1
 
1.7%
수원자동차검사소 1
 
1.7%
성남자동차검사소 1
 
1.7%
안양자동차검사소 1
 
1.7%
서수원자동차검사소 1
 
1.7%
용인자동차검사소 1
 
1.7%
안산자동차검사소 1
 
1.7%
Other values (50) 50
83.3%
2023-12-13T07:07:21.328490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
12.9%
61
12.5%
60
12.3%
60
12.3%
59
12.1%
59
12.1%
12
 
2.5%
6
 
1.2%
6
 
1.2%
5
 
1.0%
Other values (63) 96
19.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
99.6%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
63
13.0%
61
12.6%
60
12.4%
60
12.4%
59
12.2%
59
12.2%
12
 
2.5%
6
 
1.2%
6
 
1.2%
5
 
1.0%
Other values (61) 94
19.4%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
S 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
99.6%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
63
13.0%
61
12.6%
60
12.4%
60
12.4%
59
12.2%
59
12.2%
12
 
2.5%
6
 
1.2%
6
 
1.2%
5
 
1.0%
Other values (61) 94
19.4%
Latin
ValueCountFrequency (%)
T 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
99.6%
ASCII 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
63
13.0%
61
12.6%
60
12.4%
60
12.4%
59
12.2%
59
12.2%
12
 
2.5%
6
 
1.2%
6
 
1.2%
5
 
1.0%
Other values (61) 94
19.4%
ASCII
ValueCountFrequency (%)
T 1
50.0%
S 1
50.0%

동일
Real number (ℝ)

Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean651.76667
Minimum2
Maximum1820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:21.446406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile131.15
Q1370.75
median553
Q3858
95-th percentile1533.8
Maximum1820
Range1818
Interquartile range (IQR)487.25

Descriptive statistics

Standard deviation407.18402
Coefficient of variation (CV)0.62473895
Kurtosis0.90297774
Mean651.76667
Median Absolute Deviation (MAD)200.5
Skewness1.0825253
Sum39106
Variance165798.83
MonotonicityNot monotonic
2023-12-13T07:07:21.577159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
556 2
 
3.3%
879 1
 
1.7%
618 1
 
1.7%
716 1
 
1.7%
723 1
 
1.7%
1116 1
 
1.7%
746 1
 
1.7%
1213 1
 
1.7%
1568 1
 
1.7%
1076 1
 
1.7%
Other values (49) 49
81.7%
ValueCountFrequency (%)
2 1
1.7%
72 1
1.7%
115 1
1.7%
132 1
1.7%
192 1
1.7%
222 1
1.7%
246 1
1.7%
309 1
1.7%
315 1
1.7%
325 1
1.7%
ValueCountFrequency (%)
1820 1
1.7%
1740 1
1.7%
1568 1
1.7%
1532 1
1.7%
1390 1
1.7%
1301 1
1.7%
1213 1
1.7%
1116 1
1.7%
1076 1
1.7%
1060 1
1.7%

원동
Real number (ℝ)

Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean570.46667
Minimum3
Maximum2397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:21.730711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile24.85
Q1110
median345
Q3880.25
95-th percentile1686.85
Maximum2397
Range2394
Interquartile range (IQR)770.25

Descriptive statistics

Standard deviation575.7053
Coefficient of variation (CV)1.0091831
Kurtosis0.88107195
Mean570.46667
Median Absolute Deviation (MAD)299
Skewness1.2158001
Sum34228
Variance331436.59
MonotonicityNot monotonic
2023-12-13T07:07:21.889869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
795 2
 
3.3%
1335 1
 
1.7%
27 1
 
1.7%
1169 1
 
1.7%
1683 1
 
1.7%
1166 1
 
1.7%
1517 1
 
1.7%
1956 1
 
1.7%
813 1
 
1.7%
298 1
 
1.7%
Other values (49) 49
81.7%
ValueCountFrequency (%)
3 1
1.7%
9 1
1.7%
22 1
1.7%
25 1
1.7%
27 1
1.7%
29 1
1.7%
30 1
1.7%
40 1
1.7%
52 1
1.7%
54 1
1.7%
ValueCountFrequency (%)
2397 1
1.7%
1956 1
1.7%
1760 1
1.7%
1683 1
1.7%
1668 1
1.7%
1517 1
1.7%
1512 1
1.7%
1335 1
1.7%
1172 1
1.7%
1169 1
1.7%

동력
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6
Minimum0
Maximum33
Zeros5
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:21.995021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q313
95-th percentile22.15
Maximum33
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.7704351
Coefficient of variation (CV)0.90353896
Kurtosis0.93496674
Mean8.6
Median Absolute Deviation (MAD)4
Skewness1.1989648
Sum516
Variance60.379661
MonotonicityNot monotonic
2023-12-13T07:07:22.114049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3 7
11.7%
2 7
11.7%
6 6
 
10.0%
4 5
 
8.3%
0 5
 
8.3%
7 4
 
6.7%
12 4
 
6.7%
13 3
 
5.0%
22 2
 
3.3%
14 2
 
3.3%
Other values (13) 15
25.0%
ValueCountFrequency (%)
0 5
8.3%
1 1
 
1.7%
2 7
11.7%
3 7
11.7%
4 5
8.3%
5 2
 
3.3%
6 6
10.0%
7 4
6.7%
8 1
 
1.7%
10 1
 
1.7%
ValueCountFrequency (%)
33 1
1.7%
29 1
1.7%
25 1
1.7%
22 2
3.3%
21 1
1.7%
20 2
3.3%
19 1
1.7%
16 1
1.7%
15 1
1.7%
14 2
3.3%

주행
Real number (ℝ)

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean433.91667
Minimum3
Maximum2347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:22.263147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile33.75
Q1148
median292.5
Q3593.25
95-th percentile1301.45
Maximum2347
Range2344
Interquartile range (IQR)445.25

Descriptive statistics

Standard deviation444.37525
Coefficient of variation (CV)1.0241028
Kurtosis6.1231348
Mean433.91667
Median Absolute Deviation (MAD)197
Skewness2.1894635
Sum26035
Variance197469.37
MonotonicityNot monotonic
2023-12-13T07:07:22.404309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205 3
 
5.0%
653 1
 
1.7%
46 1
 
1.7%
363 1
 
1.7%
785 1
 
1.7%
293 1
 
1.7%
362 1
 
1.7%
584 1
 
1.7%
1300 1
 
1.7%
373 1
 
1.7%
Other values (48) 48
80.0%
ValueCountFrequency (%)
3 1
1.7%
23 1
1.7%
29 1
1.7%
34 1
1.7%
46 1
1.7%
67 1
1.7%
70 1
1.7%
71 1
1.7%
73 1
1.7%
75 1
1.7%
ValueCountFrequency (%)
2347 1
1.7%
1850 1
1.7%
1329 1
1.7%
1300 1
1.7%
1022 1
1.7%
992 1
1.7%
919 1
1.7%
853 1
1.7%
785 1
1.7%
745 1
1.7%

조종
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
46 
1
10 
2
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 46
76.7%
1 10
 
16.7%
2 3
 
5.0%
4 1
 
1.7%

Length

2023-12-13T07:07:22.533328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:22.632011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 46
76.7%
1 10
 
16.7%
2 3
 
5.0%
4 1
 
1.7%

조향
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.666667
Minimum0
Maximum257
Zeros5
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:22.756488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q320
95-th percentile50.5
Maximum257
Range257
Interquartile range (IQR)17

Descriptive statistics

Standard deviation34.830664
Coefficient of variation (CV)1.8659284
Kurtosis38.224042
Mean18.666667
Median Absolute Deviation (MAD)8
Skewness5.7163808
Sum1120
Variance1213.1751
MonotonicityNot monotonic
2023-12-13T07:07:22.891428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2 5
 
8.3%
0 5
 
8.3%
7 4
 
6.7%
3 3
 
5.0%
11 3
 
5.0%
1 3
 
5.0%
18 3
 
5.0%
13 3
 
5.0%
23 3
 
5.0%
9 2
 
3.3%
Other values (21) 26
43.3%
ValueCountFrequency (%)
0 5
8.3%
1 3
5.0%
2 5
8.3%
3 3
5.0%
4 2
 
3.3%
5 1
 
1.7%
6 2
 
3.3%
7 4
6.7%
8 1
 
1.7%
9 2
 
3.3%
ValueCountFrequency (%)
257 1
1.7%
79 1
1.7%
60 1
1.7%
50 1
1.7%
42 1
1.7%
37 1
1.7%
33 1
1.7%
31 1
1.7%
28 1
1.7%
27 1
1.7%

제동
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.7
Minimum0
Maximum436
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:23.059454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.95
Q132.25
median61.5
Q3136
95-th percentile244.6
Maximum436
Range436
Interquartile range (IQR)103.75

Descriptive statistics

Standard deviation83.70819
Coefficient of variation (CV)0.94372254
Kurtosis4.6906667
Mean88.7
Median Absolute Deviation (MAD)42.5
Skewness1.861101
Sum5322
Variance7007.061
MonotonicityNot monotonic
2023-12-13T07:07:23.244252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136 3
 
5.0%
30 2
 
3.3%
53 2
 
3.3%
137 2
 
3.3%
75 2
 
3.3%
35 1
 
1.7%
177 1
 
1.7%
67 1
 
1.7%
90 1
 
1.7%
18 1
 
1.7%
Other values (44) 44
73.3%
ValueCountFrequency (%)
0 1
1.7%
1 1
1.7%
2 1
1.7%
3 1
1.7%
8 1
1.7%
9 1
1.7%
13 1
1.7%
15 1
1.7%
17 1
1.7%
18 1
1.7%
ValueCountFrequency (%)
436 1
1.7%
334 1
1.7%
256 1
1.7%
244 1
1.7%
189 1
1.7%
188 1
1.7%
184 1
1.7%
177 1
1.7%
164 1
1.7%
150 1
1.7%

완충
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.8
Minimum0
Maximum183
Zeros3
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:23.714428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q110
median25.5
Q353
95-th percentile132.15
Maximum183
Range183
Interquartile range (IQR)43

Descriptive statistics

Standard deviation44.17331
Coefficient of variation (CV)1.1098822
Kurtosis2.1254955
Mean39.8
Median Absolute Deviation (MAD)21
Skewness1.6401734
Sum2388
Variance1951.2814
MonotonicityNot monotonic
2023-12-13T07:07:23.860363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
10 6
 
10.0%
4 3
 
5.0%
0 3
 
5.0%
2 3
 
5.0%
7 3
 
5.0%
32 2
 
3.3%
34 2
 
3.3%
26 2
 
3.3%
12 2
 
3.3%
25 2
 
3.3%
Other values (29) 32
53.3%
ValueCountFrequency (%)
0 3
5.0%
2 3
5.0%
4 3
5.0%
5 1
 
1.7%
7 3
5.0%
8 1
 
1.7%
10 6
10.0%
11 1
 
1.7%
12 2
 
3.3%
13 1
 
1.7%
ValueCountFrequency (%)
183 1
1.7%
168 1
1.7%
135 1
1.7%
132 1
1.7%
131 1
1.7%
130 1
1.7%
119 1
1.7%
105 1
1.7%
67 1
1.7%
64 1
1.7%

연료
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.45
Minimum0
Maximum243
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:23.991073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.9
Q115
median30
Q361.75
95-th percentile92.35
Maximum243
Range243
Interquartile range (IQR)46.75

Descriptive statistics

Standard deviation39.0117
Coefficient of variation (CV)0.91900353
Kurtosis10.617148
Mean42.45
Median Absolute Deviation (MAD)19
Skewness2.526536
Sum2547
Variance1521.9127
MonotonicityNot monotonic
2023-12-13T07:07:24.123811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
26 3
 
5.0%
92 3
 
5.0%
40 2
 
3.3%
11 2
 
3.3%
15 2
 
3.3%
12 2
 
3.3%
10 2
 
3.3%
20 2
 
3.3%
8 2
 
3.3%
84 2
 
3.3%
Other values (33) 38
63.3%
ValueCountFrequency (%)
0 1
1.7%
4 1
1.7%
6 1
1.7%
8 2
3.3%
9 2
3.3%
10 2
3.3%
11 2
3.3%
12 2
3.3%
14 1
1.7%
15 2
3.3%
ValueCountFrequency (%)
243 1
 
1.7%
107 1
 
1.7%
99 1
 
1.7%
92 3
5.0%
85 1
 
1.7%
84 2
3.3%
77 1
 
1.7%
76 1
 
1.7%
73 1
 
1.7%
71 1
 
1.7%

전기
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.15
Minimum0
Maximum195
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:24.266951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.95
Q141
median75.5
Q3117.75
95-th percentile171.15
Maximum195
Range195
Interquartile range (IQR)76.75

Descriptive statistics

Standard deviation51.30891
Coefficient of variation (CV)0.64016107
Kurtosis-0.72716178
Mean80.15
Median Absolute Deviation (MAD)38.5
Skewness0.33957662
Sum4809
Variance2632.6042
MonotonicityNot monotonic
2023-12-13T07:07:24.422011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83 3
 
5.0%
75 2
 
3.3%
78 2
 
3.3%
41 2
 
3.3%
141 2
 
3.3%
124 2
 
3.3%
50 2
 
3.3%
51 2
 
3.3%
33 2
 
3.3%
111 1
 
1.7%
Other values (40) 40
66.7%
ValueCountFrequency (%)
0 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
7 1
1.7%
9 1
1.7%
15 1
1.7%
29 1
1.7%
33 2
3.3%
ValueCountFrequency (%)
195 1
1.7%
184 1
1.7%
174 1
1.7%
171 1
1.7%
161 1
1.7%
156 1
1.7%
149 1
1.7%
141 2
3.3%
140 1
1.7%
134 1
1.7%

차체
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.35
Minimum0
Maximum343
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:24.554231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.75
Q145.75
median90
Q3126.75
95-th percentile312.35
Maximum343
Range343
Interquartile range (IQR)81

Descriptive statistics

Standard deviation82.123682
Coefficient of variation (CV)0.77953187
Kurtosis1.6636387
Mean105.35
Median Absolute Deviation (MAD)41.5
Skewness1.3687524
Sum6321
Variance6744.2992
MonotonicityNot monotonic
2023-12-13T07:07:24.732954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 2
 
3.3%
77 2
 
3.3%
125 2
 
3.3%
68 2
 
3.3%
66 2
 
3.3%
101 2
 
3.3%
118 2
 
3.3%
140 1
 
1.7%
148 1
 
1.7%
319 1
 
1.7%
Other values (43) 43
71.7%
ValueCountFrequency (%)
0 1
1.7%
3 1
1.7%
10 1
1.7%
15 1
1.7%
17 1
1.7%
18 1
1.7%
24 2
3.3%
26 1
1.7%
28 1
1.7%
37 1
1.7%
ValueCountFrequency (%)
343 1
1.7%
330 1
1.7%
319 1
1.7%
312 1
1.7%
259 1
1.7%
255 1
1.7%
206 1
1.7%
189 1
1.7%
171 1
1.7%
163 1
1.7%

연결
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6333333
Minimum0
Maximum20
Zeros4
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:24.887713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q39
95-th percentile19
Maximum20
Range20
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.9367754
Coefficient of variation (CV)0.7442375
Kurtosis0.84833343
Mean6.6333333
Median Absolute Deviation (MAD)3
Skewness1.0741105
Sum398
Variance24.371751
MonotonicityNot monotonic
2023-12-13T07:07:25.033630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4 8
13.3%
3 7
11.7%
2 6
10.0%
7 5
8.3%
9 5
8.3%
5 5
8.3%
0 4
 
6.7%
8 4
 
6.7%
10 3
 
5.0%
19 3
 
5.0%
Other values (8) 10
16.7%
ValueCountFrequency (%)
0 4
6.7%
1 1
 
1.7%
2 6
10.0%
3 7
11.7%
4 8
13.3%
5 5
8.3%
6 2
 
3.3%
7 5
8.3%
8 4
6.7%
9 5
8.3%
ValueCountFrequency (%)
20 1
 
1.7%
19 3
5.0%
15 1
 
1.7%
14 1
 
1.7%
13 1
 
1.7%
12 1
 
1.7%
11 2
 
3.3%
10 3
5.0%
9 5
8.3%
8 4
6.7%

승차
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173.78333
Minimum0
Maximum694
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:25.178390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35.6
Q193.5
median150
Q3224.75
95-th percentile336.65
Maximum694
Range694
Interquartile range (IQR)131.25

Descriptive statistics

Standard deviation120.0003
Coefficient of variation (CV)0.69051671
Kurtosis4.6903741
Mean173.78333
Median Absolute Deviation (MAD)62.5
Skewness1.6433386
Sum10427
Variance14400.071
MonotonicityNot monotonic
2023-12-13T07:07:25.328700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94 3
 
5.0%
223 2
 
3.3%
88 2
 
3.3%
168 2
 
3.3%
62 2
 
3.3%
156 2
 
3.3%
115 1
 
1.7%
311 1
 
1.7%
264 1
 
1.7%
216 1
 
1.7%
Other values (43) 43
71.7%
ValueCountFrequency (%)
0 1
1.7%
25 1
1.7%
28 1
1.7%
36 1
1.7%
51 1
1.7%
52 1
1.7%
54 1
1.7%
56 1
1.7%
62 2
3.3%
76 1
1.7%
ValueCountFrequency (%)
694 1
1.7%
431 1
1.7%
368 1
1.7%
335 1
1.7%
329 1
1.7%
317 1
1.7%
313 1
1.7%
311 1
1.7%
310 1
1.7%
309 1
1.7%

물품
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.883333
Minimum0
Maximum313
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:25.478080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.95
Q146
median68
Q3109.25
95-th percentile187.75
Maximum313
Range313
Interquartile range (IQR)63.25

Descriptive statistics

Standard deviation58.580407
Coefficient of variation (CV)0.69835574
Kurtosis2.9924806
Mean83.883333
Median Absolute Deviation (MAD)29
Skewness1.4784991
Sum5033
Variance3431.6641
MonotonicityNot monotonic
2023-12-13T07:07:25.611475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 4
 
6.7%
46 3
 
5.0%
136 2
 
3.3%
41 2
 
3.3%
65 2
 
3.3%
62 2
 
3.3%
89 1
 
1.7%
101 1
 
1.7%
78 1
 
1.7%
116 1
 
1.7%
Other values (41) 41
68.3%
ValueCountFrequency (%)
0 1
1.7%
8 1
1.7%
16 1
1.7%
17 1
1.7%
22 1
1.7%
24 1
1.7%
30 1
1.7%
31 1
1.7%
32 1
1.7%
37 1
1.7%
ValueCountFrequency (%)
313 1
1.7%
219 1
1.7%
202 1
1.7%
187 1
1.7%
175 1
1.7%
174 1
1.7%
172 1
1.7%
158 1
1.7%
136 2
3.3%
129 1
1.7%

창유
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.566667
Minimum0
Maximum107
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:25.740979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.9
Q123.5
median39.5
Q358.25
95-th percentile82
Maximum107
Range107
Interquartile range (IQR)34.75

Descriptive statistics

Standard deviation24.262244
Coefficient of variation (CV)0.56998225
Kurtosis-0.27232062
Mean42.566667
Median Absolute Deviation (MAD)18.5
Skewness0.48679793
Sum2554
Variance588.6565
MonotonicityNot monotonic
2023-12-13T07:07:25.894314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
31 4
 
6.7%
17 3
 
5.0%
49 3
 
5.0%
58 3
 
5.0%
80 2
 
3.3%
70 2
 
3.3%
38 2
 
3.3%
15 2
 
3.3%
82 2
 
3.3%
62 1
 
1.7%
Other values (36) 36
60.0%
ValueCountFrequency (%)
0 1
 
1.7%
3 1
 
1.7%
8 1
 
1.7%
10 1
 
1.7%
14 1
 
1.7%
15 2
3.3%
16 1
 
1.7%
17 3
5.0%
18 1
 
1.7%
19 1
 
1.7%
ValueCountFrequency (%)
107 1
1.7%
99 1
1.7%
82 2
3.3%
80 2
3.3%
73 1
1.7%
72 1
1.7%
70 2
3.3%
64 1
1.7%
63 1
1.7%
62 1
1.7%

배기
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean275.3
Minimum0
Maximum897
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:26.025003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53.95
Q1146.5
median198
Q3358
95-th percentile770.5
Maximum897
Range897
Interquartile range (IQR)211.5

Descriptive statistics

Standard deviation214.4227
Coefficient of variation (CV)0.77886924
Kurtosis1.1995765
Mean275.3
Median Absolute Deviation (MAD)89
Skewness1.3496839
Sum16518
Variance45977.095
MonotonicityNot monotonic
2023-12-13T07:07:26.200529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
175 3
 
5.0%
243 2
 
3.3%
265 2
 
3.3%
85 1
 
1.7%
461 1
 
1.7%
768 1
 
1.7%
638 1
 
1.7%
897 1
 
1.7%
485 1
 
1.7%
211 1
 
1.7%
Other values (46) 46
76.7%
ValueCountFrequency (%)
0 1
1.7%
35 1
1.7%
53 1
1.7%
54 1
1.7%
59 1
1.7%
61 1
1.7%
67 1
1.7%
68 1
1.7%
78 1
1.7%
85 1
1.7%
ValueCountFrequency (%)
897 1
1.7%
822 1
1.7%
818 1
1.7%
768 1
1.7%
714 1
1.7%
638 1
1.7%
583 1
1.7%
545 1
1.7%
533 1
1.7%
485 1
1.7%

등화
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9700.7833
Minimum23
Maximum33158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:26.371082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile1974.6
Q15466.5
median7819.5
Q312989.75
95-th percentile21682.15
Maximum33158
Range33135
Interquartile range (IQR)7523.25

Descriptive statistics

Standard deviation6495.8079
Coefficient of variation (CV)0.66961685
Kurtosis1.6406016
Mean9700.7833
Median Absolute Deviation (MAD)3864
Skewness1.1464819
Sum582047
Variance42195521
MonotonicityNot monotonic
2023-12-13T07:07:26.509723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15894 1
 
1.7%
3411 1
 
1.7%
10508 1
 
1.7%
19584 1
 
1.7%
15619 1
 
1.7%
11747 1
 
1.7%
15393 1
 
1.7%
19812 1
 
1.7%
16990 1
 
1.7%
9743 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
23 1
1.7%
1541 1
1.7%
1929 1
1.7%
1977 1
1.7%
2267 1
1.7%
2579 1
1.7%
2864 1
1.7%
3140 1
1.7%
3411 1
1.7%
3502 1
1.7%
ValueCountFrequency (%)
33158 1
1.7%
22737 1
1.7%
22160 1
1.7%
21657 1
1.7%
19812 1
1.7%
19584 1
1.7%
18905 1
1.7%
17523 1
1.7%
16990 1
1.7%
15915 1
1.7%

경보
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.816667
Minimum0
Maximum158
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:26.631312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.95
Q126.75
median46.5
Q374.25
95-th percentile109.3
Maximum158
Range158
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation34.305453
Coefficient of variation (CV)0.64951947
Kurtosis1.0017645
Mean52.816667
Median Absolute Deviation (MAD)23
Skewness0.97662814
Sum3169
Variance1176.8641
MonotonicityNot monotonic
2023-12-13T07:07:26.779716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
75 3
 
5.0%
19 2
 
3.3%
38 2
 
3.3%
26 2
 
3.3%
49 2
 
3.3%
6 2
 
3.3%
43 2
 
3.3%
27 2
 
3.3%
74 2
 
3.3%
37 2
 
3.3%
Other values (39) 39
65.0%
ValueCountFrequency (%)
0 1
1.7%
6 2
3.3%
7 1
1.7%
9 1
1.7%
18 1
1.7%
19 2
3.3%
21 1
1.7%
22 1
1.7%
23 1
1.7%
24 1
1.7%
ValueCountFrequency (%)
158 1
1.7%
146 1
1.7%
134 1
1.7%
108 1
1.7%
102 1
1.7%
99 1
1.7%
95 1
1.7%
91 1
1.7%
86 1
1.7%
81 1
1.7%

시야
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2333333
Minimum0
Maximum17
Zeros24
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:26.904053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.25
95-th percentile9.2
Maximum17
Range17
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation3.5480559
Coefficient of variation (CV)1.5886817
Kurtosis6.2788176
Mean2.2333333
Median Absolute Deviation (MAD)1
Skewness2.4461341
Sum134
Variance12.588701
MonotonicityNot monotonic
2023-12-13T07:07:27.007132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 24
40.0%
1 13
21.7%
2 8
 
13.3%
4 3
 
5.0%
3 3
 
5.0%
5 2
 
3.3%
13 2
 
3.3%
8 2
 
3.3%
9 1
 
1.7%
6 1
 
1.7%
ValueCountFrequency (%)
0 24
40.0%
1 13
21.7%
2 8
 
13.3%
3 3
 
5.0%
4 3
 
5.0%
5 2
 
3.3%
6 1
 
1.7%
8 2
 
3.3%
9 1
 
1.7%
13 2
 
3.3%
ValueCountFrequency (%)
17 1
 
1.7%
13 2
 
3.3%
9 1
 
1.7%
8 2
 
3.3%
6 1
 
1.7%
5 2
 
3.3%
4 3
 
5.0%
3 3
 
5.0%
2 8
13.3%
1 13
21.7%

계기
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.516667
Minimum0
Maximum95
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:27.135040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q111
median24.5
Q347
95-th percentile80.35
Maximum95
Range95
Interquartile range (IQR)36

Descriptive statistics

Standard deviation25.122407
Coefficient of variation (CV)0.79711496
Kurtosis-0.067222353
Mean31.516667
Median Absolute Deviation (MAD)16
Skewness0.87849111
Sum1891
Variance631.13531
MonotonicityNot monotonic
2023-12-13T07:07:27.245116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
11 3
 
5.0%
18 3
 
5.0%
5 3
 
5.0%
14 2
 
3.3%
24 2
 
3.3%
80 2
 
3.3%
25 2
 
3.3%
34 2
 
3.3%
6 2
 
3.3%
9 2
 
3.3%
Other values (32) 37
61.7%
ValueCountFrequency (%)
0 1
 
1.7%
1 1
 
1.7%
2 1
 
1.7%
4 1
 
1.7%
5 3
5.0%
6 2
3.3%
7 1
 
1.7%
8 1
 
1.7%
9 2
3.3%
10 1
 
1.7%
ValueCountFrequency (%)
95 1
1.7%
91 1
1.7%
87 1
1.7%
80 2
3.3%
71 1
1.7%
70 2
3.3%
57 1
1.7%
53 1
1.7%
52 2
3.3%
51 1
1.7%

액화
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
60 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 60
100.0%

Length

2023-12-13T07:07:27.345895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:27.418448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
100.0%

조속
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
56 
1
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 56
93.3%
1 3
 
5.0%
2 1
 
1.7%

Length

2023-12-13T07:07:27.491938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:27.571136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
93.3%
1 3
 
5.0%
2 1
 
1.7%

촉매
Categorical

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
46 
1
2
 
4
3
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 46
76.7%
1 7
 
11.7%
2 4
 
6.7%
3 2
 
3.3%
4 1
 
1.7%

Length

2023-12-13T07:07:27.655820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:27.995555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 46
76.7%
1 7
 
11.7%
2 4
 
6.7%
3 2
 
3.3%
4 1
 
1.7%

수리
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
54 
1
 
4
5
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 54
90.0%
1 4
 
6.7%
5 1
 
1.7%
3 1
 
1.7%

Length

2023-12-13T07:07:28.081450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:28.164947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 54
90.0%
1 4
 
6.7%
5 1
 
1.7%
3 1
 
1.7%

기타
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.05
Minimum0
Maximum239
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:28.259059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.8
Q135
median67
Q3118.5
95-th percentile169.1
Maximum239
Range239
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation57.225224
Coefficient of variation (CV)0.72391175
Kurtosis-0.33733423
Mean79.05
Median Absolute Deviation (MAD)36.5
Skewness0.63979541
Sum4743
Variance3274.7263
MonotonicityNot monotonic
2023-12-13T07:07:28.373367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 2
 
3.3%
54 2
 
3.3%
131 2
 
3.3%
158 2
 
3.3%
17 2
 
3.3%
10 2
 
3.3%
48 2
 
3.3%
79 2
 
3.3%
69 2
 
3.3%
11 2
 
3.3%
Other values (40) 40
66.7%
ValueCountFrequency (%)
0 1
1.7%
3 1
1.7%
4 1
1.7%
8 1
1.7%
10 2
3.3%
11 2
3.3%
14 1
1.7%
17 2
3.3%
22 1
1.7%
31 1
1.7%
ValueCountFrequency (%)
239 1
1.7%
196 1
1.7%
171 1
1.7%
169 1
1.7%
168 1
1.7%
167 1
1.7%
158 2
3.3%
155 1
1.7%
152 1
1.7%
150 1
1.7%

사이드
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.466667
Minimum0
Maximum137
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:28.475585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q116
median25.5
Q347.25
95-th percentile84.95
Maximum137
Range137
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation29.432754
Coefficient of variation (CV)0.85394837
Kurtosis2.4095305
Mean34.466667
Median Absolute Deviation (MAD)16
Skewness1.4580056
Sum2068
Variance866.28701
MonotonicityNot monotonic
2023-12-13T07:07:28.582858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
19 4
 
6.7%
48 3
 
5.0%
2 3
 
5.0%
46 2
 
3.3%
27 2
 
3.3%
24 2
 
3.3%
18 2
 
3.3%
6 2
 
3.3%
10 2
 
3.3%
17 2
 
3.3%
Other values (31) 36
60.0%
ValueCountFrequency (%)
0 1
 
1.7%
1 1
 
1.7%
2 3
5.0%
3 1
 
1.7%
5 1
 
1.7%
6 2
3.3%
8 1
 
1.7%
10 2
3.3%
11 1
 
1.7%
14 1
 
1.7%
ValueCountFrequency (%)
137 1
1.7%
123 1
1.7%
103 1
1.7%
84 1
1.7%
76 1
1.7%
71 1
1.7%
70 1
1.7%
69 1
1.7%
68 1
1.7%
67 1
1.7%
Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean314.13333
Minimum4
Maximum1165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:28.692604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile59.8
Q1179.5
median255
Q3402.75
95-th percentile694.15
Maximum1165
Range1161
Interquartile range (IQR)223.25

Descriptive statistics

Standard deviation224.9786
Coefficient of variation (CV)0.71618825
Kurtosis2.710109
Mean314.13333
Median Absolute Deviation (MAD)108
Skewness1.4433485
Sum18848
Variance50615.372
MonotonicityNot monotonic
2023-12-13T07:07:28.810572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
284 2
 
3.3%
686 1
 
1.7%
60 1
 
1.7%
216 1
 
1.7%
554 1
 
1.7%
563 1
 
1.7%
335 1
 
1.7%
476 1
 
1.7%
624 1
 
1.7%
392 1
 
1.7%
Other values (49) 49
81.7%
ValueCountFrequency (%)
4 1
1.7%
31 1
1.7%
56 1
1.7%
60 1
1.7%
64 1
1.7%
67 1
1.7%
73 1
1.7%
77 1
1.7%
110 1
1.7%
133 1
1.7%
ValueCountFrequency (%)
1165 1
1.7%
860 1
1.7%
849 1
1.7%
686 1
1.7%
631 1
1.7%
624 1
1.7%
597 1
1.7%
563 1
1.7%
559 1
1.7%
554 1
1.7%

공기
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.33333
Minimum0
Maximum256
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:28.927741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.4
Q162
median93.5
Q3146.25
95-th percentile244
Maximum256
Range256
Interquartile range (IQR)84.25

Descriptive statistics

Standard deviation64.252591
Coefficient of variation (CV)0.59862663
Kurtosis-0.25708126
Mean107.33333
Median Absolute Deviation (MAD)47
Skewness0.59420462
Sum6440
Variance4128.3955
MonotonicityNot monotonic
2023-12-13T07:07:29.055132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75 2
 
3.3%
32 2
 
3.3%
79 2
 
3.3%
34 2
 
3.3%
86 2
 
3.3%
244 2
 
3.3%
36 2
 
3.3%
62 2
 
3.3%
15 2
 
3.3%
192 1
 
1.7%
Other values (41) 41
68.3%
ValueCountFrequency (%)
0 1
1.7%
15 2
3.3%
27 1
1.7%
30 1
1.7%
32 2
3.3%
33 1
1.7%
34 2
3.3%
36 2
3.3%
55 1
1.7%
60 1
1.7%
ValueCountFrequency (%)
256 1
1.7%
245 1
1.7%
244 2
3.3%
236 1
1.7%
192 1
1.7%
189 1
1.7%
187 1
1.7%
184 1
1.7%
171 1
1.7%
166 1
1.7%

매연
Real number (ℝ)

Distinct54
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean534.61667
Minimum5
Maximum1647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:29.161092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile211.5
Q1313.25
median460
Q3657.25
95-th percentile1159.5
Maximum1647
Range1642
Interquartile range (IQR)344

Descriptive statistics

Standard deviation314.66361
Coefficient of variation (CV)0.58857801
Kurtosis2.2217174
Mean534.61667
Median Absolute Deviation (MAD)166.5
Skewness1.3272388
Sum32077
Variance99013.19
MonotonicityNot monotonic
2023-12-13T07:07:29.276550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
429 3
 
5.0%
227 2
 
3.3%
509 2
 
3.3%
397 2
 
3.3%
255 2
 
3.3%
740 1
 
1.7%
481 1
 
1.7%
419 1
 
1.7%
651 1
 
1.7%
752 1
 
1.7%
Other values (44) 44
73.3%
ValueCountFrequency (%)
5 1
1.7%
92 1
1.7%
145 1
1.7%
215 1
1.7%
227 2
3.3%
231 1
1.7%
234 1
1.7%
255 2
3.3%
286 1
1.7%
293 1
1.7%
ValueCountFrequency (%)
1647 1
1.7%
1386 1
1.7%
1207 1
1.7%
1157 1
1.7%
1035 1
1.7%
990 1
1.7%
974 1
1.7%
864 1
1.7%
849 1
1.7%
808 1
1.7%

배기가스
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.066667
Minimum0
Maximum610
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:29.408736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.85
Q133.75
median73.5
Q3117.5
95-th percentile232.95
Maximum610
Range610
Interquartile range (IQR)83.75

Descriptive statistics

Standard deviation97.646
Coefficient of variation (CV)1.038051
Kurtosis12.742065
Mean94.066667
Median Absolute Deviation (MAD)42
Skewness2.9726342
Sum5644
Variance9534.7412
MonotonicityNot monotonic
2023-12-13T07:07:29.526751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83 2
 
3.3%
79 2
 
3.3%
35 2
 
3.3%
105 2
 
3.3%
16 2
 
3.3%
95 2
 
3.3%
72 1
 
1.7%
33 1
 
1.7%
58 1
 
1.7%
145 1
 
1.7%
Other values (44) 44
73.3%
ValueCountFrequency (%)
0 1
1.7%
1 1
1.7%
4 1
1.7%
7 1
1.7%
13 1
1.7%
16 2
3.3%
17 1
1.7%
20 1
1.7%
23 1
1.7%
24 1
1.7%
ValueCountFrequency (%)
610 1
1.7%
329 1
1.7%
289 1
1.7%
230 1
1.7%
225 1
1.7%
217 1
1.7%
186 1
1.7%
177 1
1.7%
171 1
1.7%
145 1
1.7%

제동력
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1474.7667
Minimum22
Maximum4014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:29.652539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile451.45
Q1873
median1326.5
Q32013.75
95-th percentile2710.05
Maximum4014
Range3992
Interquartile range (IQR)1140.75

Descriptive statistics

Standard deviation784.00487
Coefficient of variation (CV)0.53161282
Kurtosis0.88611533
Mean1474.7667
Median Absolute Deviation (MAD)495
Skewness0.87530973
Sum88486
Variance614663.64
MonotonicityNot monotonic
2023-12-13T07:07:29.784603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
952 1
 
1.7%
385 1
 
1.7%
1373 1
 
1.7%
2590 1
 
1.7%
2400 1
 
1.7%
1744 1
 
1.7%
2009 1
 
1.7%
2336 1
 
1.7%
1298 1
 
1.7%
983 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
22 1
1.7%
385 1
1.7%
422 1
1.7%
453 1
1.7%
597 1
1.7%
666 1
1.7%
686 1
1.7%
688 1
1.7%
723 1
1.7%
748 1
1.7%
ValueCountFrequency (%)
4014 1
1.7%
3420 1
1.7%
2920 1
1.7%
2699 1
1.7%
2590 1
1.7%
2498 1
1.7%
2479 1
1.7%
2421 1
1.7%
2400 1
1.7%
2336 1
1.7%

전조등
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4888.85
Minimum47
Maximum17154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:29.931572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile822.3
Q12652
median3972.5
Q36710.75
95-th percentile10364.35
Maximum17154
Range17107
Interquartile range (IQR)4058.75

Descriptive statistics

Standard deviation3355.0541
Coefficient of variation (CV)0.68626652
Kurtosis1.7214091
Mean4888.85
Median Absolute Deviation (MAD)2034
Skewness1.1231379
Sum293331
Variance11256388
MonotonicityNot monotonic
2023-12-13T07:07:30.064537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9001 1
 
1.7%
1374 1
 
1.7%
5654 1
 
1.7%
8252 1
 
1.7%
9985 1
 
1.7%
5821 1
 
1.7%
9077 1
 
1.7%
9196 1
 
1.7%
8278 1
 
1.7%
5192 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
47 1
1.7%
604 1
1.7%
714 1
1.7%
828 1
1.7%
861 1
1.7%
1077 1
1.7%
1230 1
1.7%
1374 1
1.7%
1519 1
1.7%
1633 1
1.7%
ValueCountFrequency (%)
17154 1
1.7%
12092 1
1.7%
10523 1
1.7%
10356 1
1.7%
9985 1
1.7%
9930 1
1.7%
9196 1
1.7%
9077 1
1.7%
9001 1
1.7%
8278 1
1.7%

속도계
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.016667
Minimum0
Maximum71
Zeros4
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:30.183868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.75
median11
Q320
95-th percentile45.15
Maximum71
Range71
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation14.737812
Coefficient of variation (CV)0.92015477
Kurtosis2.9779861
Mean16.016667
Median Absolute Deviation (MAD)5.5
Skewness1.670041
Sum961
Variance217.20311
MonotonicityNot monotonic
2023-12-13T07:07:30.292675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
11 6
 
10.0%
2 4
 
6.7%
6 4
 
6.7%
0 4
 
6.7%
9 4
 
6.7%
20 3
 
5.0%
10 3
 
5.0%
14 2
 
3.3%
13 2
 
3.3%
16 2
 
3.3%
Other values (21) 26
43.3%
ValueCountFrequency (%)
0 4
6.7%
1 1
 
1.7%
2 4
6.7%
3 1
 
1.7%
5 1
 
1.7%
6 4
6.7%
7 1
 
1.7%
8 2
3.3%
9 4
6.7%
10 3
5.0%
ValueCountFrequency (%)
71 1
1.7%
56 1
1.7%
48 1
1.7%
45 1
1.7%
44 1
1.7%
39 1
1.7%
38 1
1.7%
35 1
1.7%
34 1
1.7%
29 1
1.7%

경적음
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.8
Minimum0
Maximum173
Zeros2
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:30.411225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q120.75
median36.5
Q348.5
95-th percentile76.7
Maximum173
Range173
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation27.882198
Coefficient of variation (CV)0.73762428
Kurtosis8.3093699
Mean37.8
Median Absolute Deviation (MAD)14
Skewness2.0367264
Sum2268
Variance777.41695
MonotonicityNot monotonic
2023-12-13T07:07:30.537177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
40 4
 
6.7%
24 4
 
6.7%
42 4
 
6.7%
35 3
 
5.0%
9 2
 
3.3%
0 2
 
3.3%
48 2
 
3.3%
51 2
 
3.3%
36 2
 
3.3%
20 2
 
3.3%
Other values (32) 33
55.0%
ValueCountFrequency (%)
0 2
3.3%
1 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
9 2
3.3%
10 1
1.7%
11 2
3.3%
12 1
1.7%
19 1
1.7%
ValueCountFrequency (%)
173 1
1.7%
91 1
1.7%
90 1
1.7%
76 1
1.7%
73 1
1.7%
68 1
1.7%
63 1
1.7%
62 1
1.7%
60 1
1.7%
57 1
1.7%

배기음
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.65
Minimum0
Maximum40
Zeros6
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:07:30.652067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3.5
Q312.5
95-th percentile32.15
Maximum40
Range40
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation10.360985
Coefficient of variation (CV)1.1978017
Kurtosis1.7951986
Mean8.65
Median Absolute Deviation (MAD)3
Skewness1.6060728
Sum519
Variance107.35
MonotonicityNot monotonic
2023-12-13T07:07:30.794366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 10
16.7%
1 7
11.7%
3 7
11.7%
0 6
10.0%
15 4
 
6.7%
8 4
 
6.7%
6 3
 
5.0%
5 2
 
3.3%
7 2
 
3.3%
12 2
 
3.3%
Other values (13) 13
21.7%
ValueCountFrequency (%)
0 6
10.0%
1 7
11.7%
2 10
16.7%
3 7
11.7%
4 1
 
1.7%
5 2
 
3.3%
6 3
 
5.0%
7 2
 
3.3%
8 4
 
6.7%
9 1
 
1.7%
ValueCountFrequency (%)
40 1
1.7%
38 1
1.7%
35 1
1.7%
32 1
1.7%
30 1
1.7%
29 1
1.7%
22 1
1.7%
21 1
1.7%
20 1
1.7%
19 1
1.7%

소음기타
Categorical

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
35 
1
17 
2
3
 
2
18
 
1

Length

Max length2
Median length1
Mean length1.0166667
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row1
2nd row18
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
58.3%
1 17
28.3%
2 5
 
8.3%
3 2
 
3.3%
18 1
 
1.7%

Length

2023-12-13T07:07:30.934366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:31.069355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
58.3%
1 17
28.3%
2 5
 
8.3%
3 2
 
3.3%
18 1
 
1.7%

엘피지(LPG)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
60 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 60
100.0%

Length

2023-12-13T07:07:31.192767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:31.277470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
100.0%

Sample

검사소동일원동동력주행조종조향제동완충연료전기차체연결승차물품창유배기등화경보시야계기액화조속촉매수리기타사이드일산화탄소_탄화수소_질소산화물(CO_HC_NOX)공기매연배기가스제동력전조등속도계경적음배기음소음기타엘피지(LPG)
0강남자동차검사소8791335206530235104012474422349621901589455014020135196869974011495290013926410
1성산자동차검사소182023972923470114361326117133014694219995453315813413800001316811652561647610401417154567632180
2노원자동차검사소1060795131850112485777156949313136803762216010225000106912386023611577929201209245621500
3구로자동차검사소89917601568110189627117412610309175708222273786452000017135849139120717118091052348731500
4성동자동차검사소5198993535023136342411439515346361521157928117000050215146435373112855312245500
5상암자동차검사소359321618502133230501821292214288585370200001117234342942787741541011100
6사하자동차검사소340565136001645265012541177729687959221260000401918930470166883405620000
7주례자동차검사소674698336210196419997518981401172121910515372200020196422205539953174039641552200
8해운대자동차검사소528508816319334442113687230864917515915382700025581648813650468183477063841910
9이현자동차검사소4965132156033910178371410431261296866275530000544628416663225123239691760500
검사소동일원동동력주행조종조향제동완충연료전기차체연결승차물품창유배기등화경보시야계기액화조속촉매수리기타사이드일산화탄소_탄화수소_질소산화물(CO_HC_NOX)공기매연배기가스제동력전조등속도계경적음배기음소음기타엘피지(LPG)
50전주자동차검사소91947862620317513397816341721745819210598691739000010220279151570119144449151928300
51군산자동차검사소2461907209082379402410907519613502760180000361144603841774816551519210
52남원자동차검사소309306230515601223729239177819292305000032110862951171277107755100
53정읍자동차검사소4025448807514014154621375917145286421014001017176475286105101815192048300
54익산자동차검사소370126215226226341291054501713137472904000031513332215246662355120300
55창원자동차검사소5889462574516256129211710121284649352126775807001002394135481626129227565372940000
56진주자동차검사소54933862110333772352456156495218762831584570000791025414080810121955310911310
57거창자동차검사소11590670111271627528125241415431402411100008256362551867848611123000
58김해자동차검사소409813263020133211175671916884386769824221700008632169273291380829043211910
59제주자동차검사소55629013919026144275578929213651624392123304600006246264150676225202834191337310