Challenge your Data Analytics skills!
How it works:
Each fortnight we will present a data challenge to be solved. These challenges will be a mix of Excel, Power BI, Tableau and SQL and are designed to increase your proficiency in skills across the data pathway. We encourage everyone on the Data Pathway to take a crack and challenge yourself!
The winners will be announced on the SitRep, fortnightly on Fridays at 4 pm AEST.
The stream can be found here: https://www.twitch.tv/withyouwithstream
and winners will receive a badge to proudly display on the WYMW Data Discord!
Challenge #2 - Maccas
|You are working with a team of Data Analysts currently doing a health survey of fast-food chains in the USA. You have been given Maccas (McDonalds) to analyse. |
Your task is to determine the correlation between various metrics such as protein, sugar, fat etc - and effectively plot the relationship.
|Using Excel, Power BI or Tableau, complete the following:|
1. Create a Correlation Plot to answer the following questions:
Q1 - Correlation visualisation of Calories, Calories from fat, Carbs, Cholesterol, Dietary fibre, Protein, Saturated fat, Sodium, Sugars, Total fat and trans fat
Q2 - Identify the correlation between sugars and carbs - Is it correlated? If so, is it positively or negatively, strong or weak correlation?
Q3 - Create a slicer showing the Correl between Protein and total fat within the Beef and Pork Category
Q4 - Using the slicer show the Correl between calories and carbs within the breakfast menu category
Q5 - Using the slicer find the ratio of protein to sugars between within the Iced mocha menu item
Q6 - Create a dashboard with a Card, slicer and visualization demonstrating the correlation between 2 different measurements within 2 different menu categories
2. Create a Scatterplot to answer the following questions:
Q1 - Create a scatter plot identifying protein and total fat adding a trend line, is there a correlation?
Q2 - What is the median of the data presented and what is the average of the data presented?
Q3- Add 95 percentile lines on the scatter plot, which items are within this range?
Q4 - Which item is within the 99th percentile range?
Q5 - Create a dashboard with visualisation of scatter plot, correlation card and slicer (for menu category and item category)
Lastly, to practice your skills, you can complete the following questions:
(note these last questions will not be assessed for the challenge, but are good practice!)
Q1- AVG total calories of each ‘category’ menu item -- (which has the highest avg)
Q2 - AVG total calories of Fat in each ‘Category’ menu item --(which has the highest avg)
Q3 - Total fat in one Specific Menu category -- (specific which menu item this is)
Q4 - Percentage difference between highest total fat in breakfast item compared to lowest total fat in breakfast item)
Q5 - Count of each ‘category’ of breakfast item -- ( which item has the highest count of menu items/ which has the lowest)
Submit your answers
Submissions close 04/12/2020 at 12:00pm AEST.
Submit your answers directly to Jimmy via Discord.
If you’re having any difficulty, jump into our Data Analyst Discord Server and join the discussion!
Not yet on the Data Analytics pathway? Click the button below to explore our courses: