Data analysis is like deciphering a secret code. Often, the raw numbers don't reveal the whole story. This is where scatter plots and trendlines come in. They act as powerful tools to visually explore relationships between two sets of data. By plotting points and drawing a best-fit line, scatter plots help us identify trends, correlations, and potential outliers. Let's delve into this world of visualization and see how to harness the power of scatter plots and trendlines to unlock insights hidden within your data.
In this tutorial we will plot the %MgCl2 versus the density of a series of solutions. The data is as follows. Cut
% MgCl2 | Density (g/mL) |
10 | 1.084 |
14 | 1.120 |
18 | 1.154 |
20 | 1.173 |
23 | 1.210 |
26 | 1.261 |
29 | 1.270 |
Remember: The trendline represents a general linear relationship between your data points. It may not perfectly fit every point, but it helps visualize the overall trend.
This is a basic introduction to creating scatter plots with trendlines in Google Sheets. As you explore further, you can experiment with different chart types, customize the look and feel of your graphs, and use them to analyze various kinds of data sets.