Analyzer - Data Exploration

[Adeeshaj]

Explore the dataset to understand its characteristics, such as data types, distributions, and potential outliers. Create summary statistics and visualizations to gain insights into the data.

[Adeeshaj]

columns meta data

2450 entries, 0 to 2456 Data columns (total 18 columns): count	Column	Non-Null Count	Dtype
0	id	2450 non-null	int64
1	listing_url	2450 non-null	object
2	title	2450 non-null	object
3	location	2450 non-null	object
4	price	2450 non-null	float64
5	price_currency	2450 non-null	object
6	listing_date	2450 non-null	object
7	description	2450 non-null	object
8	Brand:	2450 non-null	object
9	Model:	2450 non-null	object
10	Mileage:	2450 non-null	object
11	Body type:	2238 non-null	object
12	Condition:	2450 non-null	object
13	Fuel type:	2450 non-null	object
14	Transmission:	2450 non-null	object
15	Engine capacity:	2450 non-null	object
16	Year of Manufacture:	2450 non-null	object
17	Trim / Edition:	1970 non-null	object

other than Trim /Edition other fields have 100% data. Trim / Edition have 80% data all data good to analyze

[Adeeshaj]

Price Analysis

Since the main target is price analysing. Here we only do on price column

Histogram: To visualize the distribution of a single numerical variable, you can use a histogram.

Kernel Density Estimate (KDE) Plot: A KDE plot estimates the probability density function of a continuous variable.

Box Plot: To visualize the distribution of a numerical variable or compare distributions between different categories.

Violin Plot: Similar to a box plot, but also shows the probability density of the variable at different values.

[Adeeshaj]

Removing Outliers

Looking at the boxplot chart and the violin plot charts Here clearly there are potential outliers.

removing outliers charts are looks more meaningful here

[Adeeshaj]

Analysing categorical fields

Brand count 2450 unique 47 top Toyota freq 673 Name: Brand: , dtype: object

Model count 2450 unique 314 top Alto freq 134 Name: Model: , dtype: object

Mileage count 2450 unique 729 top 100,000 km freq 49 Name: Mileage: , dtype: object

Body type count 2238 unique 7 top Hatchback freq 786 Name: Body type: , dtype: object

Condition count 2450 unique 3 top Used freq 2404

Fuel type count 2450 unique 6 top Petrol freq 1688

Transmission count 2450 unique 3 top Automatic freq 1519 Name: Transmission: , dtype: object

Engine capacity count 2450 unique 184 top 1,500 cc freq 494 Name: Engine capacity: , dtype: object

Year of Manufacture count 2450 unique 59 top 2015 freq 235 Name: Year of Manufacture: , dtype: object

Trim / Edition count 1970 unique 1253 top Toyota freq 38 Name: Trim / Edition: , dtype: object

• milage need preprocessing, need to create as categorical

[Adeeshaj]

Analysing categorical fields - Grouping and Aggregation (mean - price)

[Adeeshaj]

Analysing categorical fields - Pie Chart