Webinar - Introduction to Data Visualisations and Analytics.
0 likes63 views
The document discusses data visualizations and analytics, emphasizing their role in business intelligence. It differentiates data visualizations from infographics, highlighting the objectivity of the former. The document also outlines essential visualization rules and practical applications like population data analysis and real-time dashboards.
Webinar - Introduction to Data Visualisations and Analytics.
- 1. Midhun Mathew CTO | Gulf IT Innovations May 10th 2020 Introduction to Data Visualisations and Analytics Focused on tools used in Business Intelligence Industry
- 2. Data facts and statistics collected together for reference or analysis.
- 3. Visualization the representation of an object, situation, or set of information as a chart or other image.
- 5. Why infographics are not the same as data visualizations? Infographics tell a premeditated story to guide the audience to conclusions (subjective). Data visualizations let the audience draw their own conclusions (objective).
- 6. Era of Big Data
- 7. Era of Big Data
- 8. Data visualizations Data visualizations are visual representation of data abstracted into a schematic form so that the audience can more easily process the information and get a clear idea about the data at a glance. Data visualizations are: Best for allowing the audience to draw their own conclusions, and offer objectivity Ideal for understanding data at a glance Automatically generated for arbitrary datasets
- 11. CONVERTING RAW DATA INTO VIZ. DATA THE NEED
- 12. 1 2 3 8 4 0 8 8 3 3 4 5 6 7 8 9 0 3 4 5 6 7 8 9 0 3 4 5 6 7 8 9 0 3 4 5 6 7 8 9 2 3 4 5 9 7 6 5 4 3 2 2 3 4 8 7 6 7 4 7 6 3 4 6 7 5 3 2 8 0 0 1 Common Case Find all ‘7'
- 13. 1 7 3 8 4 0 8 8 3 3 4 5 6 7 8 9 0 3 4 5 6 7 8 9 0 3 4 5 6 7 8 9 0 7 4 5 6 7 8 9 2 3 4 5 9 7 6 5 4 3 2 2 3 4 8 7 6 7 4 7 6 3 4 6 7 5 3 2 8 0 0 1 Common Case 1 7 3 8 4 0 8 8 3 3 4 5 6 7 8 9 0 3 4 5 6 7 8 9 0 3 4 5 6 7 8 9 0 7 4 5 6 7 8 9 2 3 4 5 9 7 6 5 4 3 2 2 3 4 8 7 6 7 4 7 6 3 4 6 7 5 3 2 8 0 0 1
- 14. Case Study - City Based Population Data Population Density in Kerala Highest is Kochi & Lowest in Alappuzha
- 15. Population in Kerala & TN Southmost in South India Highest in Chennai Lowest in Karur
- 16. Population in India Takes a bit time.
- 17. After using Viz. Tools
- 18. Basic Visualization Rules Avoid Unnecessary Formatting
- 19. Basic Visualization Rules Remove Unnecessary Clutter
- 20. Basic Visualization Rules Sort Data before charting
- 21. Basic Visualization Rules Don’t use unnecessary colors
- 22. Basic Visualization Rules Don’t use inappropriate axes
- 23. Day to Day Viz. Flight Booking
- 24. Day to Day Viz. Cricket Score Card
- 25. Day to Day Viz. Election Results
- 26. Day to Day Viz. Covid ‘19
- 27. Tools used for Viz.
- 28. Tools used for Viz.
- 29. Tools used for Viz.
- 30. Tools used for Viz.
- 31. Developer Case Study Considerably Small amount of Data-sets Using SQL to generate data
- 32. Developer Case Study Considerably Small amount of Data-sets Deploy with JS Libraries
- 33. Developer Case Study Considerably Small amount of Data-sets Create Realtime Dashboards
- 34. LET’S DEPLOY SOME DATA! PRACTICALS