The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
An Introduction to Data Visualisation: An Overview of Visualizing Data
Abstract
Data visualization is the process of producing interactive visualizations to study patterns and variances and extract useful insights from data. Any technique that enables the identification of insights inside a dataset is considered data visualization. A data analyst will assess a dataset and produce charts based on the results. Data visualizations consist of bar graphs, heat maps, world maps, and line graphs. Typically, data visualization is used for data verification and cleansing, exploration and discovery, and communicating business outcomes to important stakeholders. The vast majority of data scientists neglect visualizations and rely solely on frequently misleading numerical calculations. Thus, the proposed chapter has addressed the most prevalent data visualization approaches.
Related Content
|
Dina Darwish.
© 2024.
48 pages.
|
|
Dina Darwish.
© 2024.
51 pages.
|
|
Smrity Prasad, Kashvi Prawal.
© 2024.
19 pages.
|
|
Jignesh Patil, Sharmila Rathod.
© 2024.
17 pages.
|
|
Ganesh B. Regulwar, Ashish Mahalle, Raju Pawar, Swati K. Shamkuwar, Priti Roshan Kakde, Swati Tiwari.
© 2024.
23 pages.
|
|
Pranali Dhawas, Abhishek Dhore, Dhananjay Bhagat, Ritu Dorlikar Pawar, Ashwini Kukade, Kamlesh Kalbande.
© 2024.
24 pages.
|
|
Pranali Dhawas, Minakshi Ashok Ramteke, Aarti Thakur, Poonam Vijay Polshetwar, Ramadevi Vitthal Salunkhe, Dhananjay Bhagat.
© 2024.
26 pages.
|
|
|