Overview

Dataset statistics

Number of variables14
Number of observations94
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory117.4 B

Variable types

Categorical12
Numeric2

Alerts

통계표ID has constant value ""Constant
기관코드 has constant value ""Constant
수록주기 has constant value ""Constant
통계표명 has constant value ""Constant
분류명1 has constant value ""Constant
항목ID is highly overall correlated with 항목명 and 2 other fieldsHigh correlation
분류값 영문명1 is highly overall correlated with 분류값 ID1 and 1 other fieldsHigh correlation
단위 영문명 is highly overall correlated with 항목명 and 2 other fieldsHigh correlation
단위명 is highly overall correlated with 항목명 and 2 other fieldsHigh correlation
분류값 명1 is highly overall correlated with 분류값 ID1 and 1 other fieldsHigh correlation
항목명 is highly overall correlated with 항목ID and 2 other fieldsHigh correlation
분류값 ID1 is highly overall correlated with 분류값 명1 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-01-14 06:40:21.355057
Analysis finished2024-01-14 06:40:24.223097
Duration2.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계표ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
DT_1YL13901
94 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDT_1YL13901
2nd rowDT_1YL13901
3rd rowDT_1YL13901
4th rowDT_1YL13901
5th rowDT_1YL13901

Common Values

ValueCountFrequency (%)
DT_1YL13901 94
100.0%

Length

2024-01-14T15:40:24.315569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:40:24.605158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dt_1yl13901 94
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
101
94 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row101
2nd row101
3rd row101
4th row101
5th row101

Common Values

ValueCountFrequency (%)
101 94
100.0%

Length

2024-01-14T15:40:24.973468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:40:25.242815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
101 94
100.0%

수록주기
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
A
94 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 94
100.0%

Length

2024-01-14T15:40:25.438377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:40:25.671623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 94
100.0%

항목명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
전체 교통사고발생건수＜br＞(B)
32 
뺑소니 교통사고발생건수＜br＞(A)
31 
뺑소니 교통사고율＜br＞(A÷B×100)
31 

Length

Max length22
Median length19
Mean length19.648936
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row뺑소니 교통사고발생건수＜br＞(A)
2nd row전체 교통사고발생건수＜br＞(B)
3rd row뺑소니 교통사고율＜br＞(A÷B×100)
4th row뺑소니 교통사고발생건수＜br＞(A)
5th row전체 교통사고발생건수＜br＞(B)

Common Values

ValueCountFrequency (%)
전체 교통사고발생건수＜br＞(B) 32
34.0%
뺑소니 교통사고발생건수＜br＞(A) 31
33.0%
뺑소니 교통사고율＜br＞(A÷B×100) 31
33.0%

Length

2024-01-14T15:40:26.115302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:40:26.556532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
뺑소니 62
33.0%
전체 32
17.0%
교통사고발생건수＜br＞(b 32
17.0%
교통사고발생건수＜br＞(a 31
16.5%
교통사고율＜br＞(a÷b×100 31
16.5%

항목ID
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
T002
32 
T001
31 
T10
31 

Length

Max length4
Median length4
Mean length3.6702128
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT001
2nd rowT002
3rd rowT10
4th rowT001
5th rowT002

Common Values

ValueCountFrequency (%)
T002 32
34.0%
T001 31
33.0%
T10 31
33.0%

Length

2024-01-14T15:40:26.760791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:40:26.896662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
t002 32
34.0%
t001 31
33.0%
t10 31
33.0%

단위명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
건
63 
%
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건
2nd row건
3rd row%
4th row건
5th row건

Common Values

ValueCountFrequency (%)
건 63
67.0%
% 31
33.0%

Length

2024-01-14T15:40:27.018013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:40:27.122588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건 63
67.0%
31
33.0%

분류값 ID1
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32009.191
Minimum34
Maximum34380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-01-14T15:40:27.208991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile34
Q134032.5
median34080
Q334347.5
95-th percentile34380
Maximum34380
Range34346
Interquartile range (IQR)315

Descriptive statistics

Standard deviation8395.3518
Coefficient of variation (CV)0.26227941
Kurtosis11.386102
Mean32009.191
Median Absolute Deviation (MAD)230
Skewness-3.624742
Sum3008864
Variance70481931
MonotonicityNot monotonic
2024-01-14T15:40:27.314697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
34 6
 
6.4%
34310 6
 
6.4%
34380 6
 
6.4%
34370 6
 
6.4%
34360 6
 
6.4%
34350 6
 
6.4%
34340 6
 
6.4%
34330 6
 
6.4%
34080 6
 
6.4%
34010 6
 
6.4%
Other values (6) 34
36.2%
ValueCountFrequency (%)
34 6
6.4%
34010 6
6.4%
34020 6
6.4%
34030 6
6.4%
34040 6
6.4%
34050 6
6.4%
34060 6
6.4%
34070 4
4.3%
34080 6
6.4%
34310 6
6.4%
ValueCountFrequency (%)
34380 6
6.4%
34370 6
6.4%
34360 6
6.4%
34350 6
6.4%
34340 6
6.4%
34330 6
6.4%
34310 6
6.4%
34080 6
6.4%
34070 4
4.3%
34060 6
6.4%

단위 영문명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
Cases
63 
%
31 

Length

Max length5
Median length5
Mean length3.6808511
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCases
2nd rowCases
3rd row%
4th rowCases
5th rowCases

Common Values

ValueCountFrequency (%)
Cases 63
67.0%
% 31
33.0%

Length

2024-01-14T15:40:27.461399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:40:27.591175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cases 63
67.0%
31
33.0%

수치값
Real number (ℝ)

Distinct75
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean367.9883
Minimum0.5
Maximum8423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-01-14T15:40:27.720331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile2
Q14.2
median14
Q3253
95-th percentile1213.7
Maximum8423
Range8422.5
Interquartile range (IQR)248.8

Descriptive statistics

Standard deviation1267.0763
Coefficient of variation (CV)3.4432516
Kurtosis32.49973
Mean367.9883
Median Absolute Deviation (MAD)12
Skewness5.5679794
Sum34590.9
Variance1605482.3
MonotonicityNot monotonic
2024-01-14T15:40:27.895428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0 5
 
5.3%
2.0 4
 
4.3%
2.1 2
 
2.1%
3.6 2
 
2.1%
23.0 2
 
2.1%
5.2 2
 
2.1%
2.9 2
 
2.1%
5.0 2
 
2.1%
4.2 2
 
2.1%
29.0 2
 
2.1%
Other values (65) 69
73.4%
ValueCountFrequency (%)
0.5 1
 
1.1%
1.0 1
 
1.1%
1.3 1
 
1.1%
1.8 1
 
1.1%
2.0 4
4.3%
2.1 2
2.1%
2.6 1
 
1.1%
2.8 1
 
1.1%
2.9 2
2.1%
3.0 1
 
1.1%
ValueCountFrequency (%)
8423.0 1
1.1%
8164.0 1
1.1%
3039.0 1
1.1%
2937.0 1
1.1%
1267.0 1
1.1%
1185.0 1
1.1%
690.0 1
1.1%
667.0 1
1.1%
615.0 1
1.1%
529.0 1
1.1%

분류값 명1
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
충청남도
 
6
천안시
 
6
공주시
 
6
보령시
 
6
아산시
 
6
Other values (11)
64 

Length

Max length4
Median length3
Mean length3.0638298
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도
2nd row충청남도
3rd row충청남도
4th row천안시
5th row천안시

Common Values

ValueCountFrequency (%)
충청남도 6
 
6.4%
천안시 6
 
6.4%
공주시 6
 
6.4%
보령시 6
 
6.4%
아산시 6
 
6.4%
서산시 6
 
6.4%
논산시 6
 
6.4%
당진시 6
 
6.4%
금산군 6
 
6.4%
부여군 6
 
6.4%
Other values (6) 34
36.2%

Length

2024-01-14T15:40:28.053246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청남도 6
 
6.4%
천안시 6
 
6.4%
공주시 6
 
6.4%
보령시 6
 
6.4%
아산시 6
 
6.4%
서산시 6
 
6.4%
논산시 6
 
6.4%
당진시 6
 
6.4%
금산군 6
 
6.4%
부여군 6
 
6.4%
Other values (6) 34
36.2%

수록시점
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
2022
48 
2021
46 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2022 48
51.1%
2021 46
48.9%

Length

2024-01-14T15:40:28.197861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:40:28.313889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 48
51.1%
2021 46
48.9%

분류값 영문명1
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
Chungcheongnam-do
 
6
Cheonan-si
 
6
Gongju-si
 
6
Boryeong-si
 
6
Asan-si
 
6
Other values (11)
64 

Length

Max length17
Median length14
Mean length10.617021
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowChungcheongnam-do
2nd rowChungcheongnam-do
3rd rowChungcheongnam-do
4th rowCheonan-si
5th rowCheonan-si

Common Values

ValueCountFrequency (%)
Chungcheongnam-do 6
 
6.4%
Cheonan-si 6
 
6.4%
Gongju-si 6
 
6.4%
Boryeong-si 6
 
6.4%
Asan-si 6
 
6.4%
Seosan-si 6
 
6.4%
Nonsan-si 6
 
6.4%
Dangjin-si 6
 
6.4%
Geumsan-gun 6
 
6.4%
Buyeo-gun 6
 
6.4%
Other values (6) 34
36.2%

Length

2024-01-14T15:40:28.457844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
chungcheongnam-do 6
 
6.4%
cheonan-si 6
 
6.4%
gongju-si 6
 
6.4%
boryeong-si 6
 
6.4%
asan-si 6
 
6.4%
seosan-si 6
 
6.4%
nonsan-si 6
 
6.4%
dangjin-si 6
 
6.4%
geumsan-gun 6
 
6.4%
buyeo-gun 6
 
6.4%
Other values (6) 34
36.2%

통계표명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
뺑소니교통사고율(시도/시/군/구)
94 

Length

Max length18
Median length18
Mean length18
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row뺑소니교통사고율(시도/시/군/구)
2nd row뺑소니교통사고율(시도/시/군/구)
3rd row뺑소니교통사고율(시도/시/군/구)
4th row뺑소니교통사고율(시도/시/군/구)
5th row뺑소니교통사고율(시도/시/군/구)

Common Values

ValueCountFrequency (%)
뺑소니교통사고율(시도/시/군/구) 94
100.0%

Length

2024-01-14T15:40:28.625861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:40:28.722161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
뺑소니교통사고율(시도/시/군/구 94
100.0%

분류명1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
행정구역별
94 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정구역별 94
100.0%

Length

2024-01-14T15:40:28.828754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:40:28.943044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정구역별 94
100.0%

Interactions

2024-01-14T15:40:23.718995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:40:23.373992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:40:23.801041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:40:23.643437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T15:40:29.030817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항목명항목ID단위명분류값 ID1단위 영문명수치값분류값 명1수록시점분류값 영문명1
항목명1.0001.0001.0000.0001.0000.1980.0000.0000.000
항목ID1.0001.0001.0000.0001.0000.1980.0000.0000.000
단위명1.0001.0001.0000.0000.9990.0620.0000.0000.000
분류값 ID10.0000.0000.0001.0000.0000.7541.0000.0001.000
단위 영문명1.0001.0000.9990.0001.0000.0620.0000.0000.000
수치값0.1980.1980.0620.7540.0621.0000.7370.0000.737
분류값 명10.0000.0000.0001.0000.0000.7371.0000.0001.000
수록시점0.0000.0000.0000.0000.0000.0000.0001.0000.000
분류값 영문명10.0000.0000.0001.0000.0000.7371.0000.0001.000
2024-01-14T15:40:29.356048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항목ID분류값 영문명1수록시점단위 영문명단위명분류값 명1항목명
항목ID1.0000.0000.0000.9950.9950.0001.000
분류값 영문명10.0001.0000.0000.0000.0001.0000.000
수록시점0.0000.0001.0000.0000.0000.0000.000
단위 영문명0.9950.0000.0001.0000.9760.0000.995
단위명0.9950.0000.0000.9761.0000.0000.995
분류값 명10.0001.0000.0000.0000.0001.0000.000
항목명1.0000.0000.0000.9950.9950.0001.000
2024-01-14T15:40:29.535935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류값 ID1수치값항목명항목ID단위명단위 영문명분류값 명1수록시점분류값 영문명1
분류값 ID11.000-0.2300.0000.0000.0000.0000.9210.0000.921
수치값-0.2301.0000.1860.1860.0360.0360.4030.0000.403
항목명0.0000.1861.0001.0000.9950.9950.0000.0000.000
항목ID0.0000.1861.0001.0000.9950.9950.0000.0000.000
단위명0.0000.0360.9950.9951.0000.9760.0000.0000.000
단위 영문명0.0000.0360.9950.9950.9761.0000.0000.0000.000
분류값 명10.9210.4030.0000.0000.0000.0001.0000.0001.000
수록시점0.0000.0000.0000.0000.0000.0000.0001.0000.000
분류값 영문명10.9210.4030.0000.0000.0000.0001.0000.0001.000

Missing values

2024-01-14T15:40:23.936513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T15:40:24.131814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

통계표ID기관코드수록주기항목명항목ID단위명분류값 ID1단위 영문명수치값분류값 명1수록시점분류값 영문명1통계표명분류명1
0DT_1YL13901101A뺑소니 교통사고발생건수＜br＞(A)T001건34Cases318.0충청남도2021Chungcheongnam-do뺑소니교통사고율(시도/시/군/구)행정구역별
1DT_1YL13901101A전체 교통사고발생건수＜br＞(B)T002건34Cases8423.0충청남도2021Chungcheongnam-do뺑소니교통사고율(시도/시/군/구)행정구역별
2DT_1YL13901101A뺑소니 교통사고율＜br＞(A÷B×100)T10%34%3.8충청남도2021Chungcheongnam-do뺑소니교통사고율(시도/시/군/구)행정구역별
3DT_1YL13901101A뺑소니 교통사고발생건수＜br＞(A)T001건34010Cases139.0천안시2021Cheonan-si뺑소니교통사고율(시도/시/군/구)행정구역별
4DT_1YL13901101A전체 교통사고발생건수＜br＞(B)T002건34010Cases3039.0천안시2021Cheonan-si뺑소니교통사고율(시도/시/군/구)행정구역별
5DT_1YL13901101A뺑소니 교통사고율＜br＞(A÷B×100)T10%34010%4.6천안시2021Cheonan-si뺑소니교통사고율(시도/시/군/구)행정구역별
6DT_1YL13901101A뺑소니 교통사고발생건수＜br＞(A)T001건34020Cases13.0공주시2021Gongju-si뺑소니교통사고율(시도/시/군/구)행정구역별
7DT_1YL13901101A전체 교통사고발생건수＜br＞(B)T002건34020Cases461.0공주시2021Gongju-si뺑소니교통사고율(시도/시/군/구)행정구역별
8DT_1YL13901101A뺑소니 교통사고율＜br＞(A÷B×100)T10%34020%2.8공주시2021Gongju-si뺑소니교통사고율(시도/시/군/구)행정구역별
9DT_1YL13901101A뺑소니 교통사고발생건수＜br＞(A)T001건34030Cases14.0보령시2021Boryeong-si뺑소니교통사고율(시도/시/군/구)행정구역별
통계표ID기관코드수록주기항목명항목ID단위명분류값 ID1단위 영문명수치값분류값 명1수록시점분류값 영문명1통계표명분류명1
84DT_1YL13901101A뺑소니 교통사고율＜br＞(A÷B×100)T10%34350%0.5청양군2022Cheongyang-gun뺑소니교통사고율(시도/시/군/구)행정구역별
85DT_1YL13901101A뺑소니 교통사고발생건수＜br＞(A)T001건34360Cases19.0홍성군2022Hongseong-gun뺑소니교통사고율(시도/시/군/구)행정구역별
86DT_1YL13901101A전체 교통사고발생건수＜br＞(B)T002건34360Cases242.0홍성군2022Hongseong-gun뺑소니교통사고율(시도/시/군/구)행정구역별
87DT_1YL13901101A뺑소니 교통사고율＜br＞(A÷B×100)T10%34360%7.9홍성군2022Hongseong-gun뺑소니교통사고율(시도/시/군/구)행정구역별
88DT_1YL13901101A뺑소니 교통사고발생건수＜br＞(A)T001건34370Cases10.0예산군2022Yesan-gun뺑소니교통사고율(시도/시/군/구)행정구역별
89DT_1YL13901101A전체 교통사고발생건수＜br＞(B)T002건34370Cases343.0예산군2022Yesan-gun뺑소니교통사고율(시도/시/군/구)행정구역별
90DT_1YL13901101A뺑소니 교통사고율＜br＞(A÷B×100)T10%34370%2.9예산군2022Yesan-gun뺑소니교통사고율(시도/시/군/구)행정구역별
91DT_1YL13901101A뺑소니 교통사고발생건수＜br＞(A)T001건34380Cases14.0태안군2022Taean-gun뺑소니교통사고율(시도/시/군/구)행정구역별
92DT_1YL13901101A전체 교통사고발생건수＜br＞(B)T002건34380Cases267.0태안군2022Taean-gun뺑소니교통사고율(시도/시/군/구)행정구역별
93DT_1YL13901101A뺑소니 교통사고율＜br＞(A÷B×100)T10%34380%5.2태안군2022Taean-gun뺑소니교통사고율(시도/시/군/구)행정구역별