Overview

Dataset statistics

Number of variables3
Number of observations160
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory25.8 B

Variable types

Numeric1
Text2

Dataset

Description외국어 운전면허 학과시험 용어 해설집(중국어) 외국어 학과시험을 준비하는 외국인의 이해를 돕기 위해 만든 용어 해설집 입니다
URLhttps://www.data.go.kr/data/15044317/fileData.do

Alerts

순번 has unique valuesUnique
해설 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:09:34.523632
Analysis finished2023-12-12 16:09:35.175875
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct160
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.5
Minimum1
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T01:09:35.264798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.95
Q140.75
median80.5
Q3120.25
95-th percentile152.05
Maximum160
Range159
Interquartile range (IQR)79.5

Descriptive statistics

Standard deviation46.332134
Coefficient of variation (CV)0.57555446
Kurtosis-1.2
Mean80.5
Median Absolute Deviation (MAD)40
Skewness0
Sum12880
Variance2146.6667
MonotonicityStrictly increasing
2023-12-13T01:09:35.418188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
82 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
Other values (150) 150
93.8%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%

용어
Text

Distinct159
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T01:09:35.708682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length3.9875
Min length2

Characters and Unicode

Total characters638
Distinct characters263
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)98.8%

Sample

1st row道路边缘区域
2nd row摩托车
3rd row双向通行
4th row加速车道
5th row能见度
ValueCountFrequency (%)
摩托车 2
 
1.2%
接地面积 1
 
0.6%
自动挡车辆 1
 
0.6%
汽车管理法 1
 
0.6%
汽车专用道路 1
 
0.6%
场内技能考试 1
 
0.6%
折刀 1
 
0.6%
低地板公交车 1
 
0.6%
前照灯 1
 
0.6%
刹车灯 1
 
0.6%
Other values (149) 149
93.1%
2023-12-13T01:09:36.127465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
车 37
 
5.8%
路 19
 
3.0%
道 19
 
3.0%
行 13
 
2.0%
灯 12
 
1.9%
速 11
 
1.7%
驾 10
 
1.6%
照 9
 
1.4%
度 9
 
1.4%
停 9
 
1.4%
Other values (253) 490
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 632
99.1%
Other Punctuation 2
 
0.3%
Decimal Number 1
 
0.2%
Space Separator 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
车 37
 
5.9%
路 19
 
3.0%
道 19
 
3.0%
行 13
 
2.1%
灯 12
 
1.9%
速 11
 
1.7%
驾 10
 
1.6%
照 9
 
1.4%
度 9
 
1.4%
停 9
 
1.4%
Other values (248) 484
76.6%
Other Punctuation
ValueCountFrequency (%)
• 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
（ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
） 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 632
99.1%
Common 6
 
0.9%

Most frequent character per script

Han
ValueCountFrequency (%)
车 37
 
5.9%
路 19
 
3.0%
道 19
 
3.0%
行 13
 
2.1%
灯 12
 
1.9%
速 11
 
1.7%
驾 10
 
1.6%
照 9
 
1.4%
度 9
 
1.4%
停 9
 
1.4%
Other values (248) 484
76.6%
Common
ValueCountFrequency (%)
• 2
33.3%
2 1
16.7%
1
16.7%
（ 1
16.7%
） 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
CJK 632
99.1%
Punctuation 2
 
0.3%
ASCII 2
 
0.3%
None 2
 
0.3%

Most frequent character per block

CJK
ValueCountFrequency (%)
车 37
 
5.9%
路 19
 
3.0%
道 19
 
3.0%
行 13
 
2.1%
灯 12
 
1.9%
速 11
 
1.7%
驾 10
 
1.6%
照 9
 
1.4%
度 9
 
1.4%
停 9
 
1.4%
Other values (248) 484
76.6%
Punctuation
ValueCountFrequency (%)
• 2
100.0%
ASCII
ValueCountFrequency (%)
2 1
50.0%
1
50.0%
None
ValueCountFrequency (%)
（ 1
50.0%
） 1
50.0%

해설
Text

UNIQUE 

Distinct160
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T01:09:36.442439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length38
Mean length20.8625
Min length4

Characters and Unicode

Total characters3338
Distinct characters599
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)100.0%

Sample

1st row在未区分人行道和车道的道路上为了确保行人的安全用安全标志等标注其界线的道路边缘部分
2nd row适合运送一到二人的二轮摩托车或在其旁边带有一轮侧斗的摩托车
3rd row单向通行的相反概念
4th row为了让要进入主车道的车辆的速度提高到可安全进入的速度而设置的加速路段的变速车道
5th row驾驶员可看到的距离
ValueCountFrequency (%)
在未区分人行道和车道的道路上为了确保行人的安全用安全标志等标注其界线的道路边缘部分 1
 
0.6%
在醉酒的状态中驾驶汽车等的行为 1
 
0.6%
允许的最高速度 1
 
0.6%
因交通管制而亮起的信号灯 1
 
0.6%
安装有根据车辆速度或引擎旋转数自动更改变速比的引擎的车辆 1
 
0.6%
规定汽车的登记、安全标准、自我认证、制造缺陷修正、检查、整修和汽车管理事业等相关事项的法律 1
 
0.6%
仅以汽车交通为目的铺设的道路 1
 
0.6%
在驾照考场内部测试驾驶能力的考试 1
 
0.6%
车辆失去制动力后方左后严重晃动的现象 1
 
0.6%
为了让残疾人坐上轮椅后在无人帮助的情况下安全便利地上车车身底面较低车门不呈阶梯状而呈斜坡状的公交车 1
 
0.6%
Other values (152) 152
93.8%
2023-12-13T01:09:36.883132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
的 224
 
6.7%
车 144
 
4.3%
行 70
 
2.1%
路 66
 
2.0%
道 64
 
1.9%
驶 57
 
1.7%
为 49
 
1.5%
在 47
 
1.4%
辆 42
 
1.3%
交 36
 
1.1%
Other values (589) 2539
76.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3260
97.7%
Other Punctuation 34
 
1.0%
Decimal Number 17
 
0.5%
Lowercase Letter 15
 
0.4%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Space Separator 2
 
0.1%
Uppercase Letter 2
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
的 224
 
6.9%
车 144
 
4.4%
行 70
 
2.1%
路 66
 
2.0%
道 64
 
2.0%
驶 57
 
1.7%
为 49
 
1.5%
在 47
 
1.4%
辆 42
 
1.3%
交 36
 
1.1%
Other values (564) 2461
75.5%
Decimal Number
ValueCountFrequency (%)
0 4
23.5%
1 3
17.6%
2 3
17.6%
4 2
11.8%
5 2
11.8%
9 1
 
5.9%
3 1
 
5.9%
6 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
c 6
40.0%
m 3
20.0%
o 2
 
13.3%
s 1
 
6.7%
e 1
 
6.7%
w 1
 
6.7%
n 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
、 32
94.1%
/ 1
 
2.9%
: 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
D 1
50.0%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
× 1
50.0%
Close Punctuation
ValueCountFrequency (%)
） 3
100.0%
Open Punctuation
ValueCountFrequency (%)
（ 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 3260
97.7%
Common 61
 
1.8%
Latin 17
 
0.5%

Most frequent character per script

Han
ValueCountFrequency (%)
的 224
 
6.9%
车 144
 
4.4%
行 70
 
2.1%
路 66
 
2.0%
道 64
 
2.0%
驶 57
 
1.7%
为 49
 
1.5%
在 47
 
1.4%
辆 42
 
1.3%
交 36
 
1.1%
Other values (564) 2461
75.5%
Common
ValueCountFrequency (%)
、 32
52.5%
0 4
 
6.6%
1 3
 
4.9%
2 3
 
4.9%
） 3
 
4.9%
（ 3
 
4.9%
4 2
 
3.3%
5 2
 
3.3%
2
 
3.3%
9 1
 
1.6%
Other values (6) 6
 
9.8%
Latin
ValueCountFrequency (%)
c 6
35.3%
m 3
17.6%
o 2
 
11.8%
s 1
 
5.9%
N 1
 
5.9%
e 1
 
5.9%
D 1
 
5.9%
w 1
 
5.9%
n 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
CJK 3260
97.7%
None 39
 
1.2%
ASCII 39
 
1.2%

Most frequent character per block

CJK
ValueCountFrequency (%)
的 224
 
6.9%
车 144
 
4.4%
行 70
 
2.1%
路 66
 
2.0%
道 64
 
2.0%
驶 57
 
1.7%
为 49
 
1.5%
在 47
 
1.4%
辆 42
 
1.3%
交 36
 
1.1%
Other values (564) 2461
75.5%
None
ValueCountFrequency (%)
、 32
82.1%
） 3
 
7.7%
（ 3
 
7.7%
× 1
 
2.6%
ASCII
ValueCountFrequency (%)
c 6
15.4%
0 4
 
10.3%
1 3
 
7.7%
m 3
 
7.7%
2 3
 
7.7%
4 2
 
5.1%
5 2
 
5.1%
o 2
 
5.1%
2
 
5.1%
9 1
 
2.6%
Other values (11) 11
28.2%

Interactions

2023-12-13T01:09:34.907251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T01:09:35.054703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:09:35.145474image/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

순번용어해설
01道路边缘区域在未区分人行道和车道的道路上为了确保行人的安全用安全标志等标注其界线的道路边缘部分
12摩托车适合运送一到二人的二轮摩托车或在其旁边带有一轮侧斗的摩托车
23双向通行单向通行的相反概念
34加速车道为了让要进入主车道的车辆的速度提高到可安全进入的速度而设置的加速路段的变速车道
45能见度驾驶员可看到的距离
56可视光线透光率汽车涂层后的可视光线透光率
67路肩在高速公路或汽车专用道路上汽车行驶道路宽度以外的边缘部分
78平交道铁路和公路平交的部分
89建筑机械管理法为了促进建筑公司实现机械化规定建筑机械的登记、检查、形式批准和其他所需事项的法律
910建筑机械操作员执照为操作建筑机械设备而应持有的执照
순번용어해설
150151侧斗在摩托车或自行车等的两轮汽车旁边安装的车辆
151152轮胎接地力轮胎与路面的紧贴性
152153特殊驾照驾驶拖车等车辆时应持有的驾驶执照
153154特殊汽车具有特殊结构的汽车
154155涂层为了保护个人的私生活、减少散射以及防晒等在车上贴的膜
155156减弱现象汽车快速行驶中踩刹车时制动器操作不畅的现象
156157火灾警报器由告知火灾发生情况的发送器、接收信号及显示记录的接收器、音响警报器组成的装置
157158环形交叉路口道路的平面交叉方式之一
158159人行横道根据道路交通法规定按照道路标识或道路标示标注行人横穿马路专用部分的地方
159160后视镜位于车辆后方车窗外侧的镜子便于驾驶员看到车辆后方