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 문제은행 용어 해설집(영어)", "외국어 운전면허 학과시험을 준비하는 민원인의 이해를 돕기 위한 용어해설집입니다.
Author도로교통공단
URLhttps://www.data.go.kr/data/15044315/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:39:51.294467
Analysis finished2023-12-12 16:39:51.738693
Duration0.44 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
2023-12-13T01:39:51.906216image/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
2023-12-13T01:39:52.204900image/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

Distinct158
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T01:39:52.699206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length27
Mean length14.625
Min length3

Characters and Unicode

Total characters2340
Distinct characters54
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)97.5%

Sample

1st rowRoad edge
2nd rowMotorcycle
3rd rowTwo-way thoroughfare
4th rowAcceleration lane
5th rowLine of sight
ValueCountFrequency (%)
road 12
 
3.6%
vehicle 10
 
3.0%
zone 8
 
2.4%
speed 7
 
2.1%
license 7
 
2.1%
sign 6
 
1.8%
driver's 5
 
1.5%
crossing 5
 
1.5%
driving 5
 
1.5%
left 5
 
1.5%
Other values (191) 260
78.8%
2023-12-13T01:39:53.375681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 259
 
11.1%
i 197
 
8.4%
173
 
7.4%
n 173
 
7.4%
r 151
 
6.5%
t 144
 
6.2%
a 140
 
6.0%
o 123
 
5.3%
s 114
 
4.9%
l 98
 
4.2%
Other values (44) 768
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1964
83.9%
Uppercase Letter 175
 
7.5%
Space Separator 173
 
7.4%
Dash Punctuation 17
 
0.7%
Other Punctuation 8
 
0.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 259
13.2%
i 197
10.0%
n 173
 
8.8%
r 151
 
7.7%
t 144
 
7.3%
a 140
 
7.1%
o 123
 
6.3%
s 114
 
5.8%
l 98
 
5.0%
g 86
 
4.4%
Other values (15) 479
24.4%
Uppercase Letter
ValueCountFrequency (%)
S 30
17.1%
R 14
 
8.0%
A 14
 
8.0%
C 13
 
7.4%
L 13
 
7.4%
T 12
 
6.9%
M 10
 
5.7%
B 9
 
5.1%
P 9
 
5.1%
N 9
 
5.1%
Other values (12) 42
24.0%
Other Punctuation
ValueCountFrequency (%)
' 6
75.0%
/ 2
 
25.0%
Space Separator
ValueCountFrequency (%)
173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2139
91.4%
Common 201
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 259
 
12.1%
i 197
 
9.2%
n 173
 
8.1%
r 151
 
7.1%
t 144
 
6.7%
a 140
 
6.5%
o 123
 
5.8%
s 114
 
5.3%
l 98
 
4.6%
g 86
 
4.0%
Other values (37) 654
30.6%
Common
ValueCountFrequency (%)
173
86.1%
- 17
 
8.5%
' 6
 
3.0%
/ 2
 
1.0%
( 1
 
0.5%
) 1
 
0.5%
2 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 259
 
11.1%
i 197
 
8.4%
173
 
7.4%
n 173
 
7.4%
r 151
 
6.5%
t 144
 
6.2%
a 140
 
6.0%
o 123
 
5.3%
s 114
 
4.9%
l 98
 
4.2%
Other values (44) 768
32.8%

해설
Text

Distinct159
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T01:39:53.804503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length186
Median length102
Mean length73.84375
Min length19

Characters and Unicode

Total characters11815
Distinct characters56
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
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 rowThe edge of a road where the footpath and vehicle road are not distinguished Its boundary is marked by a safety sign for pedestrian safety
2nd rowA two-wheeled vehicle with a seating capacity of one to two persons or a two-wheeled vehicle with an attached side car
3rd rowThe opposite of one-way thoroughfare
4th rowA lane in which vehicles can reach a sufficient speed before merging with other vehicle in a main lane
5th rowA distance visible to the driver
ValueCountFrequency (%)
a 228
 
11.1%
of 112
 
5.4%
the 109
 
5.3%
to 68
 
3.3%
vehicle 54
 
2.6%
and 44
 
2.1%
that 41
 
2.0%
road 38
 
1.8%
or 31
 
1.5%
an 26
 
1.3%
Other values (586) 1312
63.6%
2023-12-13T01:39:54.341355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1913
16.2%
e 1224
 
10.4%
a 842
 
7.1%
i 815
 
6.9%
t 793
 
6.7%
n 679
 
5.7%
o 670
 
5.7%
r 663
 
5.6%
s 579
 
4.9%
h 450
 
3.8%
Other values (46) 3187
27.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9663
81.8%
Space Separator 1913
 
16.2%
Uppercase Letter 176
 
1.5%
Other Punctuation 26
 
0.2%
Dash Punctuation 15
 
0.1%
Decimal Number 14
 
0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1224
12.7%
a 842
 
8.7%
i 815
 
8.4%
t 793
 
8.2%
n 679
 
7.0%
o 670
 
6.9%
r 663
 
6.9%
s 579
 
6.0%
h 450
 
4.7%
c 441
 
4.6%
Other values (16) 2507
25.9%
Uppercase Letter
ValueCountFrequency (%)
A 110
62.5%
T 41
 
23.3%
R 5
 
2.8%
C 4
 
2.3%
S 3
 
1.7%
V 2
 
1.1%
I 2
 
1.1%
L 2
 
1.1%
B 1
 
0.6%
E 1
 
0.6%
Other values (5) 5
 
2.8%
Decimal Number
ValueCountFrequency (%)
0 4
28.6%
5 2
14.3%
4 2
14.3%
1 2
14.3%
3 1
 
7.1%
6 1
 
7.1%
9 1
 
7.1%
2 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
' 21
80.8%
/ 4
 
15.4%
: 1
 
3.8%
Space Separator
ValueCountFrequency (%)
1913
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9839
83.3%
Common 1976
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1224
12.4%
a 842
 
8.6%
i 815
 
8.3%
t 793
 
8.1%
n 679
 
6.9%
o 670
 
6.8%
r 663
 
6.7%
s 579
 
5.9%
h 450
 
4.6%
c 441
 
4.5%
Other values (31) 2683
27.3%
Common
ValueCountFrequency (%)
1913
96.8%
' 21
 
1.1%
- 15
 
0.8%
/ 4
 
0.2%
( 4
 
0.2%
) 4
 
0.2%
0 4
 
0.2%
5 2
 
0.1%
4 2
 
0.1%
1 2
 
0.1%
Other values (5) 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11815
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1913
16.2%
e 1224
 
10.4%
a 842
 
7.1%
i 815
 
6.9%
t 793
 
6.7%
n 679
 
5.7%
o 670
 
5.7%
r 663
 
5.6%
s 579
 
4.9%
h 450
 
3.8%
Other values (46) 3187
27.0%

Interactions

2023-12-13T01:39:51.410557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T01:39:51.573285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:39:51.683581image/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
01Road edgeThe edge of a road where the footpath and vehicle road are not distinguished Its boundary is marked by a safety sign for pedestrian safety
12MotorcycleA two-wheeled vehicle with a seating capacity of one to two persons or a two-wheeled vehicle with an attached side car
23Two-way thoroughfareThe opposite of one-way thoroughfare
34Acceleration laneA lane in which vehicles can reach a sufficient speed before merging with other vehicle in a main lane
45Line of sightA distance visible to the driver
56Visible ray penetration rateThe amount of visible rays entering a vehicle through tinted glass surfaces
67Side roadA road at the edge of a highway or vehicles-only road where vehicles can travel
78Railway crossingAn intersection where a railway and road meet
89Construction Machinery Management ActA law regulating the registration inspection and approval of construction machinery to promote the use of machinery in the construction industry
910Construction machinery operator's licenseA license required to operate construction machinery
순번용어해설
150151Side carA vehicle attached to the side of a two-wheeled vehicle
151152Tire tractionCohesion between tires and a road surface
152153Special driver's licenseA driver's license required to operate special vehicles (eg trailer)
153154Special vehicleA vehicle with a special structure
154155TintingA film applied to the glass surfaces of a vehicle for privacy and UV ray blocking
155156Brake fadeThe phenomenon where the brakes of a vehicle traveling at a high speed fail to engage
156157Fire alarmA device made up of a transmitter that warns of a fire a receiver that processes the warning and a sound alarm
157158RoundaboutA type of intersection
158159Pedestrian crossingA part of a road designated for pedestrian thoroughfare and marked by safety signs and road surface markings
159160Rear-view mirrorA set of mirrors at the sides of a vehicle for viewing the rear