Data visualisation
- 2. Data visualization components Bar charts. Line charts. Area charts. Pie charts. Scatter charts. Bubble charts.
- 3. MEANING & DEFINITION 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. In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions.
- 4. ADVANTAGES : Visualized Data Is Processed Faster. Data Visualization Dashboards Support Visual Learners. Data visualization tools show insights that may be missed in traditional reports. Data visualization gives actionable items. Data visualization increases productivity and sales.
- 5. DISADVANTAGES : It gives assessment not exactness. One-sided results. Absence of help. Inappropriate plan issue. Wrong engaged individuals can skip center messages.
- 7. What makes a good data visualization?
- 8. Creation of good visualisation : Clear Headings and Keys. ... Obvious Trends. ... Simple Analysis. ... Relevant Comparisons. ... Lots of Data/Evidence. ... Summaries of Key Points. ... Add design elements. ... Consolidated Information.
- 9. There are three key benefits to data visualization: • Making Big Data Digestible. There is no question that datasets are growing tenfold. • Greater Accessibility. We mentioned how large datasets are now accessible for a greater number of users. • Greater Efficiency & Understanding.
- 10. CONCLUSION : Good data visualization should communicate a data set clearly and effectively by using graphics. Data visualization is solution for visual representation of data with the goal of providing the viewer With a qualitative understanding of the information contents. Data visualisation is very useful to serve as presentation tool to represent statistics in a presentable and glossier way than database tables. As there is no end to converting data to visuals; so in future more and more Visualizations will be added and transformation of more complex data into interactive and eye-catching visualizations can baudience. Top 10 Best Practices of Data Visualization are as follows : 1. Identify your target audience. 2. Make sure your data is clean. 3. Select the right chart. 4. Label your chart effectively. 5. Emphasize the important points. 6. Choose the best dashboard. 7. Format your chart for accessibility. 8. Make use of color. 9. Ensure your data is readable in any format. 10. Accept feedback.