Practicing Visualizations using Automotive Market data with Pandas
Practicing Visualizations using Automotive Market data with Pandas Data Science Project
Intro to Pandas for Data Analysis

Practicing Visualizations using Automotive Market data with Pandas

This project takes you on a journey through an automotive dataset, packed with information on various car attributes like brand, model, mileage, and selling price. You'll engage in numerous activities designed to hone your plotting skills with Pandas, creating bar charts, scatter plots, pie charts, and more. Dive in and master the art of data visualization while uncovering fascinating insights about the automotive market!
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Practicing Visualizations using Automotive Market data with PandasPracticing Visualizations using Automotive Market data with Pandas
Project Created by

Lohith Unnam

Project Activities

All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.

All our activities include solutions with explanations on how they work and why we chose them.

codevalidated

Plot Seller Type Distribution

Create a pie chart to visualize the distribution of different seller types in the dataset.

input

Which seller type (Individual, Dealer, or Trustmark Dealer) has the highest number of car listings in the dataset?

Answer this question by referring to the pie chart in the 1st activity.

codevalidated

Categorize and Visualize Fuel Type Distribution

To solve this task, instead of modifying the original column, create a new column called modified_fuel_type which we will utilize. Categorize fuel types which account for less than one percent as Other. Then, create a pie chart to visualize the distribution of different fuel types within the data.

input

What is the second most common fuel type used in the cars listed in the dataset?

Answer the questions by looking at the pie chart in 3rd activity.

multiplechoice

Which fuel types constitute less than 1 percent of the total listings in our dataset?

codevalidated

Plot Seats Distribution

In this activity, your task is to generate a bar chart that clearly illustrates the frequency distribution of cars based on the number of seats they have.

multiplechoice

Identify the least represented seating capacity in the dataset

Using the bar chart from the 6th activity, identify the least represented seating capacity (2-seater, 4-seater, 5-seater, etc.) within the dataset.

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Determine the Number of 7-Seater Cars in the Dataset

Your task is to determine approximately how many 7-seater cars are present in the dataset. You might find some hints or helpful data in the bar chart provided in the 6th activity

codevalidated

Plot Histogram for Engine Size Distribution

Create a histogram to show the distribution of engine sizes in the dataset.

multiplechoice

In which size range do most of the car engines fall?

Using the histogram provided in Activity 9, identify the range in which most of the car engines fall. Make sure to consider all types of engines.

codevalidated

Plot the Distribution of Vehicle Ages

Your task is to plot a histogram showing the distribution of vehicle ages in the given dataset.

multiplechoice

Identify the Vehicle Age Range with the Fewest Listings

For this activity, refer back to the histogram presented in the 11th activity. Your task is to identify in which vehicle age range the number of listings is the lowest.

codevalidated

Create a Chart of Most Common Car Models

Produce a bar chart to display the top 10 most common car models present in our dataset.

input

Which car model is the eighth most common in the dataset?

Refer to the bar chart in the 13th activity for your answer.

codevalidated

Identify the Top 5 Most Expensive Cars

Identify the top 5 most expensive cars in the dataset. Then, create a bar chart to pictorially represent the car names and their respective selling prices.

multiplechoice

Select the cars available in top three most expensive cars listed in the dataset

Refer to the bar chart in the 15th activity for your answer.

codevalidated

Identify Top 5 Cars with Lowest Mileage

Your task is to identify the top 5 cars with the lowest mileage. After identification, create a bar chart that visually represents the car names along with their respective mileage.

input

Identify the Car with the Lowest Mileage

Identify the name of the car that has the least mileage among all the cars in the dataset. Provide your answer by referring to the bar chart from the previous activity.

input

Determine which car brand has the highest number of listings in the data

Determine which car brand is listed the most frequently by using a bar chart. Answer the question based on your analysis of the bar chart.

codevalidated

Plot Vehicle Age vs. Selling Price

Plot a scatter plot of vehicle age against selling price to identify any trends.

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Plot Mileage vs. Engine Size

Create a scatter plot analyzing the relationship between mileage and engine size.

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Plot Price against Kilometers Driven

Create a scatter plot to visualize the relationship between selling price and kilometers driven.

codevalidated

Plot the Transmission Type Preference in Cars

Create a bar chart illustrating the count of cars with either manual or automatic transmissions. This will give us a visual representation of preference in transmission types among cars.

codevalidated

Compare Fuel Type vs. Selling Price

Create a box plot to compare the selling prices of cars based on their respective fuel types.

codevalidated

Analyze Price Distribution for Top 3 Car Brands

Identify the top 3 most common car brands and create a box plot to represent the selling prices corresponding to these brands.

input

Among the top three most common car brands in the data, which brand has the widest range of selling prices?

codevalidated

Plot Mileage vs. Max Power

Create a scatter plot to display the relationship between Mileage and Max Power. Use this plot to explore the correlation between the two variables.

Practicing Visualizations using Automotive Market data with PandasPracticing Visualizations using Automotive Market data with Pandas
Project Created by

Lohith Unnam

This project is part of

Intro to Pandas for Data Analysis

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