January 2018
Intermediate to advanced
278 pages
5h 13m
English
Data visualization is designed to present data in a graphical style. We can obtain more insight data from the data visualization result. For instance, we have temperature data from sensor measurements, as depicted in the following table. Sensor Data-Temperature is a value from the temperature sensor device:
| No | Sensor Data-Temperature |
| 1 | 20 |
| 2 | 21 |
| 3 | 22 |
| 4 | 23 |
| 5 | 24 |
| 6 | 24 |
| 7 | 25 |
| 8 | 25 |
| 9 | 26 |
| 10 | 27 |
| 11 | 28 |
| 12 | 27 |
| 13 | 27 |
| 14 | 26 |
| 15 | 24 |
| 16 | 23 |
| 17 | 22 |
| 18 | 21 |
| 19 | 20 |
| 20 | 19 |
We can see the temperature value at a certain hour. From this data, we can visualize the graph, as shown in the following image:
Comparing visualizing data in the table to the graph seems to show that we can get more ...