Data visualization in Data Science.pptx
- 1. DATA VISUALISATION IN DATA SCIENCE Tingom Ferdinand & Ngong Charlotte Info@ferdsilinks.com
- 2. Introduction • Data visualization is the graphical representation of information and data • By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data
- 3. Types of visualizations • Bar charts can be used to compare categorical data • Line charts can be used to show changes over time • Scatter plots can be used to show relationships between two numerical variables • Heat maps can be used to show how a single variable changes across two dimensions
- 4. What to Consider before Choosing a Type of Visual
- 5. Line chart with python code • If you want to show how sales have changed over time for different products, you could use a line chart with time on the x-axis and sales on the y-axis
- 6. Line Chart
- 7. Bar Chart If you want to compare the population of different countries, you could use a bar chart with countries on the x-axis and population on the y-axis
- 8. Bar chart code in python
- 9. Attributes of Good visualizations or best practices • Choose an appropriate type of visualization for your data • Use color effectively to highlight important information • Label axes and provide a legend if necessary • Keep it simple – don’t clutter your visualization with too much information
- 10. Common pitfalls to avoid when creating data visualizations Not flowing naturally: make sure your chart is easy to read and understand Overcomplicating: avoid creating confusion by keeping it simple Oversimplifying: don’t oversimplify your presentation at the expense of important information Crowding: avoid crowding too much data into one chart Lacking context: provide proper context for your data Inconsistent typography and colors: use consistent typography and colors for clarity Lacking citations: provide authoritative citations for your data
- 11. Some popular ones include • Zoho Analytics • Power BI • Tableau • Qlik Sense • Klipfolio
- 12. Ferdsilinks Group www.ferdsilinks.com 02, Adjacent Presbyterian Church Molyko-Buea 237 Buea, Cameroon Whatsapp: +237 652002630