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Thorough analysis of data for a social media client- Social Buzz, using analytics & visualization skills. Their major challenge was the generation of over 100,000 daily posts, leading to unstructured data and proper mining. Using key data basics such as data cleaning, modeling and visualization, insights were uncovered to make informed decisions.

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AnthoniaUdomoh/Accenture-Analysis

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Accenture Social Buzz Analysis

Thorough analysis of data for a social media client- Social Buzz, using analytics & visualization skills. Their major challenge was the generation of over 100,000 daily posts, leading to unstructured data and proper mining. Using key data basics such as data cleaning, modeling, visualization and storytelling, insights were uncovered into content trends to highlight top content categories and to inform strategic decisions.

Project Brief

With a 3 month timeline and brief received,

  • they want an analysis of their content categories that highlights the top 5 categories with the largest aggregate popularity
  • they want to know the month with the most posts
  • they want to know which content type users identify more with

Analysis

Data Cleaning and Exploration

  • Remove blanks
  • Remove duplicate values
  • Remove values you do not need to work with in your analysis

Findings and Visualizations

Bar Charts showing Top Categories & Content Types Pie Chart showing Months with Top Posts

Further Resources

  • Excel sheets
  • Power point presentation

About

Thorough analysis of data for a social media client- Social Buzz, using analytics & visualization skills. Their major challenge was the generation of over 100,000 daily posts, leading to unstructured data and proper mining. Using key data basics such as data cleaning, modeling and visualization, insights were uncovered to make informed decisions.

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