Data Visualization is trending domain in today¿s IT industry. It is important when there is a huge pool of information and data needs to be visualized in graphs and charts for ease of readability. The fact is, it is always easy to remember data which is in tables, figures and charts than those in textual form. Hence, data visualization offers a way to convert tabular data into charts so that major findings can be recorded. In the field of big data analytics, data visualization using various tools has served even difficult requirements of information extraction. With consideration to current pandemic COVID-19 and its huge data, this report focuses on performing data visualization on COVID-19 data published by United Kingdom National Statistics website. The visualizations are performed in OberservableHQ tool and Tableau. The comparison is also discussed between these two tools in terms of performance, accuracy and capacity to handle huge size of data. It was observed that ObservableHQ is difficult to handle by naïve users but Tableau is suitable for those who don¿t know coding conventions, functions and syntax of ObservableHQ tool.
| Autorius: | Swati Patel |
| Leidėjas: | Scholars' Press |
| Išleidimo metai: | 2021 |
| Knygos puslapių skaičius: | 56 |
| ISBN-10: | 6138958888 |
| ISBN-13: | 9786138958888 |
| Formatas: | 220 x 150 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „COVID-19 Data Analysis for United Kingdom: Comparing ObservableHQ and Tableau Tools“
