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 insight if we present our data in the form of graphs. In this chapter, we will focus on how to visualize sensor data in a graphical format.
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