Overview

Dataset statistics

Number of variables21
Number of observations467
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.6 KiB
Average record size in memory172.3 B

Variable types

Numeric4
Categorical17

Dataset

Description연번,기준년,경찰서별,합계 (건),중앙선침범 (건),속도 (건),추월 (건),회전 (건),음주운전 (건),무면허 (건),차로위반 (건),신호위반 (건),정원초과 (건),주정차 (건),불법영업 (건),적재초과 (건),정비불량 (건),안전띠미착용 (건),안전운전의무불이행 (건),기타 (건),데이터기준일자
URLhttps://data.gwd.go.kr//dataset/view?infId=OA-12981

Alerts

중앙선침범 (건) has a high cardinality: 143 distinct values High cardinality
추월 (건) has a high cardinality: 254 distinct values High cardinality
회전 (건) has a high cardinality: 173 distinct values High cardinality
음주운전 (건) has a high cardinality: 381 distinct values High cardinality
무면허 (건) has a high cardinality: 303 distinct values High cardinality
차로위반 (건) has a high cardinality: 151 distinct values High cardinality
신호위반 (건) has a high cardinality: 396 distinct values High cardinality
정원초과 (건) has a high cardinality: 59 distinct values High cardinality
주정차 (건) has a high cardinality: 202 distinct values High cardinality
적재초과 (건) has a high cardinality: 164 distinct values High cardinality
안전띠미착용 (건) has a high cardinality: 309 distinct values High cardinality
기타 (건) has a high cardinality: 437 distinct values High cardinality
연번 has unique values Unique
합계 (건) has 8 (1.7%) zeros Zeros
속도 (건) has 10 (2.1%) zeros Zeros

Reproduction

Analysis started2022-08-11 13:27:05.097021
Analysis finished2022-08-11 13:27:05.583241
Duration0.49 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

연번
Real number (ℝ≥0)

UNIQUE

Distinct467
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234
Minimum1
Maximum467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2022-08-11T22:27:05.661443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.3
Q1117.5
median234
Q3350.5
95-th percentile443.7
Maximum467
Range466
Interquartile range (IQR)233

Descriptive statistics

Standard deviation134.9555482
Coefficient of variation (CV)0.5767331121
Kurtosis-1.2
Mean234
Median Absolute Deviation (MAD)117
Skewness0
Sum109278
Variance18213
MonotonicityNot monotonic
2022-08-11T22:27:05.850214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
0.2%
141
 
0.2%
281
 
0.2%
31
 
0.2%
41
 
0.2%
51
 
0.2%
61
 
0.2%
71
 
0.2%
81
 
0.2%
91
 
0.2%
Other values (457)457
97.9%
ValueCountFrequency (%)
11
0.2%
21
0.2%
31
0.2%
41
0.2%
51
0.2%
61
0.2%
71
0.2%
81
0.2%
91
0.2%
101
0.2%
ValueCountFrequency (%)
4671
0.2%
4661
0.2%
4651
0.2%
4641
0.2%
4631
0.2%
4621
0.2%
4611
0.2%
4601
0.2%
4591
0.2%
4581
0.2%

기준년
Real number (ℝ≥0)

Distinct24
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2006.593148
Minimum1995
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2022-08-11T22:27:05.970733image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1995
5-th percentile1996
Q12001
median2007
Q32013
95-th percentile2017
Maximum2018
Range23
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.940689579
Coefficient of variation (CV)0.003458942131
Kurtosis-1.211600833
Mean2006.593148
Median Absolute Deviation (MAD)6
Skewness-0.0101625478
Sum937079
Variance48.17317183
MonotonicityNot monotonic
2022-08-11T22:27:06.086780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
201820
 
4.3%
201520
 
4.3%
200120
 
4.3%
200220
 
4.3%
201220
 
4.3%
201420
 
4.3%
201320
 
4.3%
201620
 
4.3%
200420
 
4.3%
200320
 
4.3%
Other values (14)267
57.2%
ValueCountFrequency (%)
199519
4.1%
199619
4.1%
199719
4.1%
199819
4.1%
199919
4.1%
200019
4.1%
200120
4.3%
200220
4.3%
200320
4.3%
200420
4.3%
ValueCountFrequency (%)
201820
4.3%
201720
4.3%
201620
4.3%
201520
4.3%
201420
4.3%
201320
4.3%
201220
4.3%
201119
4.1%
201019
4.1%
200919
4.1%

경찰서별
Categorical

Distinct20
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
합계
 
24
영월경찰서
 
24
춘천경찰서
 
24
원주경찰서
 
24
강릉경찰서
 
24
Other values (15)
347 

Length

Max length7
Median length5
Mean length4.850107066
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row합계
2nd row강원청
3rd row춘천경찰서
4th row원주경찰서
5th row강릉경찰서

Common Values

ValueCountFrequency (%)
합계24
 
5.1%
영월경찰서24
 
5.1%
춘천경찰서24
 
5.1%
원주경찰서24
 
5.1%
강릉경찰서24
 
5.1%
동해경찰서24
 
5.1%
태백경찰서24
 
5.1%
속초경찰서24
 
5.1%
삼척경찰서24
 
5.1%
홍천경찰서24
 
5.1%
Other values (10)227
48.6%

Length

2022-08-11T22:27:06.212959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
합계24
 
5.1%
영월경찰서24
 
5.1%
고성경찰서24
 
5.1%
인제경찰서24
 
5.1%
양구경찰서24
 
5.1%
화천경찰서24
 
5.1%
철원경찰서24
 
5.1%
정선경찰서24
 
5.1%
평창경찰서24
 
5.1%
횡성경찰서24
 
5.1%
Other values (10)227
48.6%

합계 (건)
Real number (ℝ≥0)

ZEROS

Distinct457
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67287.55889
Minimum0
Maximum1499609
Zeros8
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2022-08-11T22:27:06.347330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6337
Q113929.5
median28011
Q349902
95-th percentile273353.9
Maximum1499609
Range1499609
Interquartile range (IQR)35972.5

Descriptive statistics

Standard deviation155723.1589
Coefficient of variation (CV)2.314293481
Kurtosis27.45953642
Mean67287.55889
Median Absolute Deviation (MAD)15773
Skewness4.903695718
Sum31423290
Variance2.424970221 × 1010
MonotonicityNot monotonic
2022-08-11T22:27:06.508480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08
 
1.7%
484002
 
0.4%
122202
 
0.4%
753262
 
0.4%
117051
 
0.2%
266831
 
0.2%
337911
 
0.2%
162901
 
0.2%
200471
 
0.2%
295811
 
0.2%
Other values (447)447
95.7%
ValueCountFrequency (%)
08
1.7%
11
 
0.2%
31
 
0.2%
20531
 
0.2%
38711
 
0.2%
42901
 
0.2%
43101
 
0.2%
48581
 
0.2%
49051
 
0.2%
52991
 
0.2%
ValueCountFrequency (%)
14996091
0.2%
10092211
0.2%
8866151
0.2%
8476511
0.2%
7993431
0.2%
7980301
0.2%
7786111
0.2%
7310391
0.2%
7302891
0.2%
7300001
0.2%

중앙선침범 (건)
Categorical

HIGH CARDINALITY

Distinct143
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
-
151 
2.0
 
22
1.0
 
19
0.0
 
16
3.0
 
11
Other values (138)
248 

Length

Max length6
Median length5
Mean length2.997858672
Min length1

Unique

Unique94 ?
Unique (%)20.1%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
-151
32.3%
2.022
 
4.7%
1.019
 
4.1%
0.016
 
3.4%
3.011
 
2.4%
4.010
 
2.1%
6.09
 
1.9%
9.09
 
1.9%
11.08
 
1.7%
16.07
 
1.5%
Other values (133)205
43.9%

Length

2022-08-11T22:27:06.651970image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
151
32.3%
2.022
 
4.7%
1.019
 
4.1%
0.016
 
3.4%
3.011
 
2.4%
4.010
 
2.1%
6.09
 
1.9%
9.09
 
1.9%
11.08
 
1.7%
16.07
 
1.5%
Other values (133)205
43.9%

속도 (건)
Real number (ℝ≥0)

ZEROS

Distinct455
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49010.1242
Minimum0
Maximum1261104
Zeros10
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2022-08-11T22:27:06.779558image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1249
Q18044.5
median18045
Q339058.5
95-th percentile122958.7
Maximum1261104
Range1261104
Interquartile range (IQR)31014

Descriptive statistics

Standard deviation122025.9386
Coefficient of variation (CV)2.489810841
Kurtosis33.39937667
Mean49010.1242
Median Absolute Deviation (MAD)12870
Skewness5.313997489
Sum22887728
Variance1.489032968 × 1010
MonotonicityNot monotonic
2022-08-11T22:27:06.933874image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
010
 
2.1%
100512
 
0.4%
318342
 
0.4%
138592
 
0.4%
15661
 
0.2%
42931
 
0.2%
45901
 
0.2%
78831
 
0.2%
45411
 
0.2%
39231
 
0.2%
Other values (445)445
95.3%
ValueCountFrequency (%)
010
2.1%
2361
 
0.2%
2461
 
0.2%
2851
 
0.2%
3561
 
0.2%
3761
 
0.2%
4761
 
0.2%
6201
 
0.2%
7221
 
0.2%
8841
 
0.2%
ValueCountFrequency (%)
12611041
0.2%
8086871
0.2%
6781011
0.2%
6765311
0.2%
6717701
0.2%
6300521
0.2%
6127321
0.2%
5809661
0.2%
5633661
0.2%
5570951
0.2%

추월 (건)
Categorical

HIGH CARDINALITY

Distinct254
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
-
38 
0.0
 
20
1.0
 
16
2.0
 
13
3.0
 
11
Other values (249)
369 

Length

Max length7
Median length6
Mean length4.094218415
Min length1

Unique

Unique196 ?
Unique (%)42.0%

Sample

1st row27739.0
2nd row685.0
3rd row1170.0
4th row2297.0
5th row1396.0

Common Values

ValueCountFrequency (%)
-38
 
8.1%
0.020
 
4.3%
1.016
 
3.4%
2.013
 
2.8%
3.011
 
2.4%
7.09
 
1.9%
5.09
 
1.9%
10.08
 
1.7%
4.08
 
1.7%
8.08
 
1.7%
Other values (244)327
70.0%

Length

2022-08-11T22:27:07.199070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
38
 
8.1%
0.020
 
4.3%
1.016
 
3.4%
2.013
 
2.8%
3.011
 
2.4%
7.09
 
1.9%
5.09
 
1.9%
10.08
 
1.7%
4.08
 
1.7%
8.08
 
1.7%
Other values (244)327
70.0%

회전 (건)
Categorical

HIGH CARDINALITY

Distinct173
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
-
57 
0.0
50 
1.0
 
25
2.0
 
24
4.0
 
18
Other values (168)
293 

Length

Max length6
Median length5
Mean length3.55888651
Min length1

Unique

Unique125 ?
Unique (%)26.8%

Sample

1st row4963.0
2nd row0.0
3rd row587.0
4th row699.0
5th row1325.0

Common Values

ValueCountFrequency (%)
-57
 
12.2%
0.050
 
10.7%
1.025
 
5.4%
2.024
 
5.1%
4.018
 
3.9%
6.016
 
3.4%
3.016
 
3.4%
7.016
 
3.4%
5.010
 
2.1%
10.07
 
1.5%
Other values (163)228
48.8%

Length

2022-08-11T22:27:07.318920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
57
 
12.2%
0.050
 
10.7%
1.025
 
5.4%
2.024
 
5.1%
4.018
 
3.9%
6.016
 
3.4%
3.016
 
3.4%
7.016
 
3.4%
5.010
 
2.1%
10.07
 
1.5%
Other values (163)228
48.8%

음주운전 (건)
Categorical

HIGH CARDINALITY

Distinct381
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
 
15
-
 
7
217.0
 
4
200.0
 
4
139.0
 
3
Other values (376)
434 

Length

Max length7
Median length5
Mean length5.068522484
Min length1

Unique

Unique328 ?
Unique (%)70.2%

Sample

1st row7618.0
2nd row17.0
3rd row1169.0
4th row1150.0
5th row1188.0

Common Values

ValueCountFrequency (%)
0.015
 
3.2%
-7
 
1.5%
217.04
 
0.9%
200.04
 
0.9%
139.03
 
0.6%
272.03
 
0.6%
456.03
 
0.6%
290.03
 
0.6%
227.03
 
0.6%
150.03
 
0.6%
Other values (371)419
89.7%

Length

2022-08-11T22:27:07.440311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.015
 
3.2%
7
 
1.5%
217.04
 
0.9%
200.04
 
0.9%
150.03
 
0.6%
195.03
 
0.6%
226.03
 
0.6%
346.03
 
0.6%
207.03
 
0.6%
145.03
 
0.6%
Other values (371)419
89.7%

무면허 (건)
Categorical

HIGH CARDINALITY

Distinct303
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
 
15
59.0
 
6
54.0
 
5
56.0
 
5
44.0
 
5
Other values (298)
431 

Length

Max length6
Median length5
Mean length4.60385439
Min length1

Unique

Unique206 ?
Unique (%)44.1%

Sample

1st row1588.0
2nd row0.0
3rd row107.0
4th row245.0
5th row273.0

Common Values

ValueCountFrequency (%)
0.015
 
3.2%
59.06
 
1.3%
54.05
 
1.1%
56.05
 
1.1%
44.05
 
1.1%
43.04
 
0.9%
107.04
 
0.9%
21.04
 
0.9%
49.04
 
0.9%
38.04
 
0.9%
Other values (293)411
88.0%

Length

2022-08-11T22:27:07.551322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.015
 
3.2%
59.06
 
1.3%
54.05
 
1.1%
56.05
 
1.1%
44.05
 
1.1%
62.04
 
0.9%
27.04
 
0.9%
31.04
 
0.9%
26.04
 
0.9%
79.04
 
0.9%
Other values (293)411
88.0%

차로위반 (건)
Categorical

HIGH CARDINALITY

Distinct151
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
-
66 
0.0
56 
1.0
40 
2.0
 
20
3.0
 
20
Other values (146)
265 

Length

Max length7
Median length6
Mean length3.436830835
Min length1

Unique

Unique103 ?
Unique (%)22.1%

Sample

1st row9798.0
2nd row13.0
3rd row2046.0
4th row773.0
5th row2453.0

Common Values

ValueCountFrequency (%)
-66
 
14.1%
0.056
 
12.0%
1.040
 
8.6%
2.020
 
4.3%
3.020
 
4.3%
5.014
 
3.0%
4.013
 
2.8%
7.08
 
1.7%
23.08
 
1.7%
10.07
 
1.5%
Other values (141)215
46.0%

Length

2022-08-11T22:27:07.668969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
66
 
14.1%
0.056
 
12.0%
1.040
 
8.6%
2.020
 
4.3%
3.020
 
4.3%
5.014
 
3.0%
4.013
 
2.8%
7.08
 
1.7%
23.08
 
1.7%
10.07
 
1.5%
Other values (141)215
46.0%

신호위반 (건)
Categorical

HIGH CARDINALITY

Distinct396
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
 
16
-
 
6
50.0
 
3
121.0
 
3
9.0
 
3
Other values (391)
436 

Length

Max length8
Median length7
Mean length5.145610278
Min length1

Unique

Unique351 ?
Unique (%)75.2%

Sample

1st row22101.0
2nd row23.0
3rd row1787.0
4th row1041.0
5th row929.0

Common Values

ValueCountFrequency (%)
0.016
 
3.4%
-6
 
1.3%
50.03
 
0.6%
121.03
 
0.6%
9.03
 
0.6%
20.03
 
0.6%
37.03
 
0.6%
129.03
 
0.6%
41.03
 
0.6%
18.03
 
0.6%
Other values (386)421
90.1%

Length

2022-08-11T22:27:07.788935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.016
 
3.4%
6
 
1.3%
50.03
 
0.6%
9.03
 
0.6%
20.03
 
0.6%
37.03
 
0.6%
129.03
 
0.6%
41.03
 
0.6%
18.03
 
0.6%
121.03
 
0.6%
Other values (386)421
90.1%

정원초과 (건)
Categorical

HIGH CARDINALITY

Distinct59
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
83 
-
79 
1.0
78 
3.0
33 
2.0
33 
Other values (54)
161 

Length

Max length5
Median length3
Mean length2.899357602
Min length1

Unique

Unique28 ?
Unique (%)6.0%

Sample

1st row738.0
2nd row0.0
3rd row196.0
4th row6.0
5th row105.0

Common Values

ValueCountFrequency (%)
0.083
17.8%
-79
16.9%
1.078
16.7%
3.033
 
7.1%
2.033
 
7.1%
5.019
 
4.1%
4.013
 
2.8%
6.012
 
2.6%
9.010
 
2.1%
12.08
 
1.7%
Other values (49)99
21.2%

Length

2022-08-11T22:27:07.908715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.083
17.8%
79
16.9%
1.078
16.7%
3.033
 
7.1%
2.033
 
7.1%
5.019
 
4.1%
4.013
 
2.8%
6.012
 
2.6%
9.010
 
2.1%
12.08
 
1.7%
Other values (49)99
21.2%

주정차 (건)
Categorical

HIGH CARDINALITY

Distinct202
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
-
 
27
0.0
 
25
14.0
 
13
8.0
 
13
9.0
 
12
Other values (197)
377 

Length

Max length7
Median length6
Mean length4.03640257
Min length1

Unique

Unique119 ?
Unique (%)25.5%

Sample

1st row18214.0
2nd row9.0
3rd row4807.0
4th row2623.0
5th row3249.0

Common Values

ValueCountFrequency (%)
-27
 
5.8%
0.025
 
5.4%
14.013
 
2.8%
8.013
 
2.8%
9.012
 
2.6%
1.010
 
2.1%
4.09
 
1.9%
6.09
 
1.9%
10.08
 
1.7%
5.08
 
1.7%
Other values (192)333
71.3%

Length

2022-08-11T22:27:08.061877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
27
 
5.8%
0.025
 
5.4%
14.013
 
2.8%
8.013
 
2.8%
9.012
 
2.6%
1.010
 
2.1%
4.09
 
1.9%
6.09
 
1.9%
3.08
 
1.7%
5.08
 
1.7%
Other values (192)333
71.3%

불법영업 (건)
Categorical

Distinct13
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
277 
-
131 
1.0
 
24
2.0
 
17
3.0
 
7
Other values (8)
 
11

Length

Max length4
Median length3
Mean length2.449678801
Min length1

Unique

Unique6 ?
Unique (%)1.3%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0277
59.3%
-131
28.1%
1.024
 
5.1%
2.017
 
3.6%
3.07
 
1.5%
4.03
 
0.6%
7.02
 
0.4%
10.01
 
0.2%
11.01
 
0.2%
13.01
 
0.2%
Other values (3)3
 
0.6%

Length

2022-08-11T22:27:08.228851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0277
59.3%
131
28.1%
1.024
 
5.1%
2.017
 
3.6%
3.07
 
1.5%
4.03
 
0.6%
7.02
 
0.4%
10.01
 
0.2%
11.01
 
0.2%
13.01
 
0.2%
Other values (3)3
 
0.6%

적재초과 (건)
Categorical

HIGH CARDINALITY

Distinct164
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
48 
-
 
27
13.0
 
13
2.0
 
12
3.0
 
11
Other values (159)
356 

Length

Max length6
Median length4
Mean length3.815845824
Min length1

Unique

Unique80 ?
Unique (%)17.1%

Sample

1st row1110.0
2nd row0.0
3rd row209.0
4th row69.0
5th row24.0

Common Values

ValueCountFrequency (%)
0.048
 
10.3%
-27
 
5.8%
13.013
 
2.8%
2.012
 
2.6%
3.011
 
2.4%
5.011
 
2.4%
10.07
 
1.5%
69.07
 
1.5%
28.07
 
1.5%
33.07
 
1.5%
Other values (154)317
67.9%

Length

2022-08-11T22:27:08.343974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.048
 
10.3%
27
 
5.8%
13.013
 
2.8%
2.012
 
2.6%
3.011
 
2.4%
5.011
 
2.4%
10.07
 
1.5%
69.07
 
1.5%
28.07
 
1.5%
33.07
 
1.5%
Other values (154)317
67.9%

정비불량 (건)
Categorical

Distinct42
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
272 
-
153 
5.0
 
2
27.0
 
2
35.0
 
1
Other values (37)
37 

Length

Max length6
Median length3
Mean length2.471092077
Min length1

Unique

Unique38 ?
Unique (%)8.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0272
58.2%
-153
32.8%
5.02
 
0.4%
27.02
 
0.4%
35.01
 
0.2%
3973.01
 
0.2%
2.01
 
0.2%
3966.01
 
0.2%
1906.01
 
0.2%
103.01
 
0.2%
Other values (32)32
 
6.9%

Length

2022-08-11T22:27:08.448249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0272
58.2%
153
32.8%
5.02
 
0.4%
27.02
 
0.4%
208.01
 
0.2%
3.01
 
0.2%
148.01
 
0.2%
82.01
 
0.2%
164.01
 
0.2%
57.01
 
0.2%
Other values (32)32
 
6.9%

안전띠미착용 (건)
Categorical

HIGH CARDINALITY

Distinct309
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
-
140 
0.0
 
12
1738.0
 
3
473.0
 
2
248.0
 
2
Other values (304)
308 

Length

Max length8
Median length7
Mean length4.197002141
Min length1

Unique

Unique300 ?
Unique (%)64.2%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
-140
30.0%
0.012
 
2.6%
1738.03
 
0.6%
473.02
 
0.4%
248.02
 
0.4%
476.02
 
0.4%
508.02
 
0.4%
120.02
 
0.4%
442.02
 
0.4%
5317.01
 
0.2%
Other values (299)299
64.0%

Length

2022-08-11T22:27:08.560400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
140
30.0%
0.012
 
2.6%
1738.03
 
0.6%
508.02
 
0.4%
120.02
 
0.4%
442.02
 
0.4%
476.02
 
0.4%
248.02
 
0.4%
473.02
 
0.4%
4288.01
 
0.2%
Other values (299)299
64.0%

안전운전의무불이행 (건)
Categorical

Distinct20
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
-
447 
109.0
 
2
4465.0
 
1
494.0
 
1
660.0
 
1
Other values (15)
 
15

Length

Max length6
Median length1
Mean length1.162740899
Min length1

Unique

Unique18 ?
Unique (%)3.9%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
-447
95.7%
109.02
 
0.4%
4465.01
 
0.2%
494.01
 
0.2%
660.01
 
0.2%
555.01
 
0.2%
163.01
 
0.2%
280.01
 
0.2%
148.01
 
0.2%
8930.01
 
0.2%
Other values (10)10
 
2.1%

Length

2022-08-11T22:27:08.676211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
447
95.7%
109.02
 
0.4%
130.01
 
0.2%
58.01
 
0.2%
40.01
 
0.2%
26.01
 
0.2%
52.01
 
0.2%
47.01
 
0.2%
22.01
 
0.2%
63.01
 
0.2%
Other values (10)10
 
2.1%

기타 (건)
Categorical

HIGH CARDINALITY

Distinct437
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
 
12
-
 
5
3.0
 
4
859.0
 
2
106.0
 
2
Other values (432)
442 

Length

Max length8
Median length6
Mean length5.713062099
Min length1

Unique

Unique422 ?
Unique (%)90.4%

Sample

1st row114602.0
2nd row1272.0
3rd row20174.0
4th row13190.0
5th row14966.0

Common Values

ValueCountFrequency (%)
0.012
 
2.6%
-5
 
1.1%
3.04
 
0.9%
859.02
 
0.4%
106.02
 
0.4%
2.02
 
0.4%
1598.02
 
0.4%
813.02
 
0.4%
236.02
 
0.4%
1272.02
 
0.4%
Other values (427)432
92.5%

Length

2022-08-11T22:27:08.794985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.012
 
2.6%
5
 
1.1%
3.04
 
0.9%
1272.02
 
0.4%
859.02
 
0.4%
742.02
 
0.4%
369.02
 
0.4%
198.02
 
0.4%
244.02
 
0.4%
656.02
 
0.4%
Other values (427)432
92.5%

데이터기준일자
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2017-07-25
407 
2019-07-22
 
40
2020-08-31
 
20

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-07-25
2nd row2017-07-25
3rd row2017-07-25
4th row2017-07-25
5th row2017-07-25

Common Values

ValueCountFrequency (%)
2017-07-25407
87.2%
2019-07-2240
 
8.6%
2020-08-3120
 
4.3%

Length

2022-08-11T22:27:08.974374image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-11T22:27:09.205472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
2017-07-25407
87.2%
2019-07-2240
 
8.6%
2020-08-3120
 
4.3%

Sample

First rows

연번기준년경찰서별합계 (건)중앙선침범 (건)속도 (건)추월 (건)회전 (건)음주운전 (건)무면허 (건)차로위반 (건)신호위반 (건)정원초과 (건)주정차 (건)불법영업 (건)적재초과 (건)정비불량 (건)안전띠미착용 (건)안전운전의무불이행 (건)기타 (건)데이터기준일자
011995합계277430-6895927739.04963.07618.01588.09798.022101.0738.018214.00.01110.00.0--114602.02017-07-25
121995강원청10266-8247685.00.017.00.013.023.00.09.00.00.00.0--1272.02017-07-25
231995춘천경찰서36545-42931170.0587.01169.0107.02046.01787.0196.04807.00.0209.00.0--20174.02017-07-25
341995원주경찰서26683-45902297.0699.01150.0245.0773.01041.06.02623.00.069.00.0--13190.02017-07-25
451995강릉경찰서33791-78831396.01325.01188.0273.02453.0929.0105.03249.00.024.00.0--14966.02017-07-25
561995동해경찰서16290-454139.0987.0478.056.01715.01833.07.0870.00.069.00.0--5695.02017-07-25
671995태백경찰서12220-3923219.042.0372.078.0685.0125.01.0705.00.00.00.0--6070.02017-07-25
781995속초경찰서20047-2813654.0403.0797.0203.0781.012544.060.0954.00.0196.00.0--642.02017-07-25
891995삼척경찰서29581-96626837.0633.0406.0120.0855.0391.074.0751.00.0278.00.0--9574.02017-07-25
9101995홍천경찰서10956-22672080.063.0128.049.079.01280.010.0217.00.027.00.0--4756.02017-07-25

Last rows

연번기준년경찰서별합계 (건)중앙선침범 (건)속도 (건)추월 (건)회전 (건)음주운전 (건)무면허 (건)차로위반 (건)신호위반 (건)정원초과 (건)주정차 (건)불법영업 (건)적재초과 (건)정비불량 (건)안전띠미착용 (건)안전운전의무불이행 (건)기타 (건)데이터기준일자
4574582018횡성경찰서1340364.010395--119.058.0-1835.0-----235.0130.0567.02020-08-31
4584592018영월경찰서4430041.043019--99.038.0-410.0-----70.063.0560.02020-08-31
4594602018평창경찰서2964841.027272--132.0--930.0-----224.0109.0940.02020-08-31
4604612018정선경찰서4071816.037683--110.054.0-2131.0-----543.022.0159.02020-08-31
4614622018철원경찰서1915424.014369--150.044.0-2916.0-----1145.047.0459.02020-08-31
4624632018화천경찰서1055136.010033--74.027.0-104.0-----13.052.0212.02020-08-31
4634642018양구경찰서831220.07832--64.016.0-129.0-----78.026.0147.02020-08-31
4644652018인제경찰서1921013.011517--97.027.0-7306.0-----12.040.0198.02020-08-31
4654662018고성경찰서3764519.034192--115.040.0-2714.0-----152.058.0355.02020-08-31
4664672018고속도로순찰대6943-1116-----54.0-----1696.01330.02747.02020-08-31