Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory58.0 B

Variable types

Numeric1
Text2
Categorical3

Dataset

Description자동차튜닝종합지원포털(TS튜닝알리고)내 등록되어있는 튜닝항목별 견적요청 정보로 어떤항목에서 활발히 튜닝이 이루어지고 있는지 보여줌
URLhttps://www.data.go.kr/data/15103270/fileData.do

Alerts

견적서 등록 건수 has constant value ""Constant
작업결과 등록 건수 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:31:05.194868
Analysis finished2023-12-12 09:31:05.683152
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T18:31:05.747027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T18:31:05.906770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

대분류
Text

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T18:31:06.111719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.3636364
Min length2

Characters and Unicode

Total characters96
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)31.8%

Sample

1st row승차장치
2nd row승차장치
3rd row기타
4th row기타
5th row조향장치
ValueCountFrequency (%)
승차장치 4
18.2%
기타 3
13.6%
물품적재장치 3
13.6%
등화장치 3
13.6%
차체및차대 2
9.1%
조향장치 1
 
4.5%
주행장치 1
 
4.5%
동력전달장치 1
 
4.5%
소음방지장치 1
 
4.5%
연결및견인장치 1
 
4.5%
Other values (2) 2
9.1%
2023-12-12T18:31:06.421175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 15
15.6%
치 15
15.6%
차 8
 
8.3%
승 4
 
4.2%
기 4
 
4.2%
타 3
 
3.1%
물 3
 
3.1%
품 3
 
3.1%
적 3
 
3.1%
재 3
 
3.1%
Other values (25) 35
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 15
15.6%
치 15
15.6%
차 8
 
8.3%
승 4
 
4.2%
기 4
 
4.2%
타 3
 
3.1%
물 3
 
3.1%
품 3
 
3.1%
적 3
 
3.1%
재 3
 
3.1%
Other values (25) 35
36.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 15
15.6%
치 15
15.6%
차 8
 
8.3%
승 4
 
4.2%
기 4
 
4.2%
타 3
 
3.1%
물 3
 
3.1%
품 3
 
3.1%
적 3
 
3.1%
재 3
 
3.1%
Other values (25) 35
36.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 15
15.6%
치 15
15.6%
차 8
 
8.3%
승 4
 
4.2%
기 4
 
4.2%
타 3
 
3.1%
물 3
 
3.1%
품 3
 
3.1%
적 3
 
3.1%
재 3
 
3.1%
Other values (25) 35
36.5%

소분류
Text

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T18:31:06.689615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length12
Mean length9.2272727
Min length2

Characters and Unicode

Total characters203
Distinct characters69
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)63.6%

Sample

1st row승차인원변경
2nd row승차인원변경(차종변경)
3rd row기타(구조및장치)
4th row전체
5th row기타(장치변경)
ValueCountFrequency (%)
기타(구조및장치 3
 
11.1%
기타(장치변경 3
 
11.1%
전체 2
 
7.4%
픽업덮개설치(장치변경 1
 
3.7%
승차인원변경 1
 
3.7%
튜닝머플러 1
 
3.7%
어린이운송용승합차(구조및장치 1
 
3.7%
hid램프 1
 
3.7%
경광등(구조및장치 1
 
3.7%
힌치(구조및장치 1
 
3.7%
Other values (12) 12
44.4%
2023-12-12T18:31:07.087075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 14
 
6.9%
치 14
 
6.9%
) 14
 
6.9%
장 12
 
5.9%
변 11
 
5.4%
경 11
 
5.4%
구 8
 
3.9%
조 8
 
3.9%
및 8
 
3.9%
기 7
 
3.4%
Other values (59) 96
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 165
81.3%
Open Punctuation 14
 
6.9%
Close Punctuation 14
 
6.9%
Space Separator 5
 
2.5%
Uppercase Letter 3
 
1.5%
Other Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 14
 
8.5%
장 12
 
7.3%
변 11
 
6.7%
경 11
 
6.7%
구 8
 
4.8%
조 8
 
4.8%
및 8
 
4.8%
기 7
 
4.2%
타 6
 
3.6%
차 6
 
3.6%
Other values (52) 74
44.8%
Uppercase Letter
ValueCountFrequency (%)
H 1
33.3%
I 1
33.3%
D 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 165
81.3%
Common 35
 
17.2%
Latin 3
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 14
 
8.5%
장 12
 
7.3%
변 11
 
6.7%
경 11
 
6.7%
구 8
 
4.8%
조 8
 
4.8%
및 8
 
4.8%
기 7
 
4.2%
타 6
 
3.6%
차 6
 
3.6%
Other values (52) 74
44.8%
Common
ValueCountFrequency (%)
( 14
40.0%
) 14
40.0%
5
 
14.3%
, 2
 
5.7%
Latin
ValueCountFrequency (%)
H 1
33.3%
I 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 165
81.3%
ASCII 38
 
18.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 14
36.8%
) 14
36.8%
5
 
13.2%
, 2
 
5.3%
H 1
 
2.6%
I 1
 
2.6%
D 1
 
2.6%
Hangul
ValueCountFrequency (%)
치 14
 
8.5%
장 12
 
7.3%
변 11
 
6.7%
경 11
 
6.7%
구 8
 
4.8%
조 8
 
4.8%
및 8
 
4.8%
기 7
 
4.2%
타 6
 
3.6%
차 6
 
3.6%
Other values (52) 74
44.8%

견적요청서 등록 건수
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
15 
2
6 
19
 
1

Length

Max length2
Median length1
Mean length1.0454545
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row19
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 15
68.2%
2 6
 
27.3%
19 1
 
4.5%

Length

2023-12-12T18:31:07.262392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:31:07.391783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
68.2%
2 6
 
27.3%
19 1
 
4.5%

견적서 등록 건수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

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 22
100.0%

Length

2023-12-12T18:31:07.517881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:31:07.619338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

작업결과 등록 건수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

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 22
100.0%

Length

2023-12-12T18:31:07.717724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:31:08.100716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

Interactions

2023-12-12T18:31:05.383173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:31:08.163398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대분류소분류견적요청서 등록 건수
번호1.0000.7650.3920.722
대분류0.7651.0000.4750.000
소분류0.3920.4751.0000.662
견적요청서 등록 건수0.7220.0000.6621.000
2023-12-12T18:31:08.260031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호견적요청서 등록 건수
번호1.0000.449
견적요청서 등록 건수0.4491.000

Missing values

2023-12-12T18:31:05.509020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:31:05.638517image/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

번호대분류소분류견적요청서 등록 건수견적서 등록 건수작업결과 등록 건수
01승차장치승차인원변경1900
12승차장치승차인원변경(차종변경)200
23기타기타(구조및장치)200
34기타전체200
45조향장치기타(장치변경)200
56승차장치캠핑카200
67차체및차대차체외관변경200
78주행장치기타(장치변경)100
89차체및차대차체너비및높이변경100
910동력전달장치전체100
번호대분류소분류견적요청서 등록 건수견적서 등록 건수작업결과 등록 건수
1213물품적재장치픽업덮개설치(장치변경)100
1314소음방지장치튜닝머플러100
1415기타기타(장치변경)100
1516연결및견인장치트레일러 힌치(구조및장치)100
1617원동기원동기교환100
1718등화장치기타(구조및장치)100
1819등화장치경광등(구조및장치)100
1920등화장치HID램프100
2021승차장치어린이운송용승합차(구조및장치)100
2122원형구변원형구변(구조및장치)100