Task - 1
Project Understanding:
A data analyst sits between the business and the data.
- One of Accenture’s Managing Directors, Mae Mulligan, is the client lead for Social Buzz.
- She has reviewed the brief provided by Social Buzz and has assembled a diverse team of Accenture experts to deliver the project.
- Mae has scheduled a project kick off call with the internal Accenture project team for tomorrow morning.
- About Client : Social Buzz
Task for Accenture :
- Client's Problem that Accenture is tasked to address : The client has reached a massive scale within recent years and does not have the resources internally to handle it.
- Three requirements that Accenture is tasked to fulfill : Audit of big data practice, recommendations for IPO, analysis of popular content
Accenture Project Team :
Task for Data Analyst :
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Analysis of sample data sets with visualizations to understand the popularity of different content categories.
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In short, the client wanted to see “An analysis of their content categories showing the top 5 categories with the largest popularity”.
Task - 2
- Often you won’t need all these datasets to find what you’re looking for.
- So, the first step is to use this data model to identify which datasets will be required to answer your business question - which is to to figure out the top 5 categories with the largest popularity.
- After Analysis we got data sets needed to complete analysis:
- Reaction Score(score is used to quantified the popularity)
- Content ID
- Reaction Types
- Content type
- Category
Data Cleaning:
Clean the data by:
- Removing rows that have values which are missing,
- Changing the data type of some values within a column, and
- Removing columns which are not relevant to this task.
- Think about how each column might be relevant to the business question you’re investigating. If you can’t think of why a column may be useful, it may not be worth including it.
End result will be three cleaned data set :
Reaction Types Reactions Content
Data Modelling: Create a final data set by merging 3 tables
End result will be one spreadsheet A cleaned dataset
- Top 5 categories
- Cleaned Data set: So, the cleaned data set after data modelling & data cleaning : Cleaned Dataset
Task - 3
Data Visualization and Storytelling: Make the Powerpoint presentation as per the given template
Task - 4
Present to the Client: Present your powerpoint presentation to the client and deliver the insights of your analysis