Code Monkey home page Code Monkey logo

sales-data-analysis's Introduction

Sales Data Analysis

An assessment prepared by Intern2Grow, for its Data Analyst Virtual Internship Program.

Assessment Overview

For this assessment, you will be given a small dataset and a set of questions to answer using that data. You will be expected to use your data analysis skills to answer the questions and present your findings in a clear and concise manner.

Dataset

The dataset you will be using is a CSV file called sales_data.csv. It contains information about sales made by a fictional company over the course of a year. The columns in the dataset are as follows:

  • date: The date of the sale (in YYYY-MM-DD format)
  • product: The name of the product sold
  • category: The category of the product (e.g. "electronics", "clothing", etc.)
  • price: The price of the product (in USD)
  • quantity: The quantity of the product sold
  • revenue: The total revenue generated by the sale (i.e. price * quantity)

Don't forget to clean the data provided in the CSV file.

Assessment Questions

  1. What was the total revenue generated by the company over the course of the year?
  2. Which product had the highest revenue? How much revenue did it generate?
  3. What was the average price of a product sold by the company?
  4. What was the total quantity of products sold by the company?
  5. Which category had the highest revenue? How much revenue did it generate?
  6. What was the average revenue per sale?
  7. What was the total revenue generated in each quarter of the year? (i.e. Q1, Q2, Q3, Q4)

For each question, please provide the answer and any supporting calculations or visualizations. You may use any tools or programming languages that you are comfortable with.

Submission Instructions

Please submit your assessment as a report or presentation that includes your answers to the questions, any supporting calculations or visualizations, and a brief summary of your findings. You may also include any additional insights or observations that you think are relevant.

Good luck!

sales-data-analysis's People

Stargazers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.