The type of graph you choose should depend on the type of data you are presenting and the message you want to convey. For example, if you want to show a trend over time, a line graph would be most suitable. If you want to compare different categories, a bar graph would be a better choice. Consider the purpose of your data and choose the graph that best represents it.
The axes of your graph should be clearly labeled with the name of the variable and the units of measurement. Make sure the labels are easy to read and understand. You can also include a brief title or caption that explains the purpose of the graph.
It is important to accurately plot your data points on the graph. Use a ruler or gridlines to make sure the points are evenly spaced and aligned with the axes. If you are using software to create your graph, make sure the data is entered correctly and the graph is generated accurately.
Error bars can be useful in showing the variability of your data and indicating the level of uncertainty. However, they are not always necessary and it is up to your discretion whether to include them or not. If your data has a small range and the error bars are too small to be visible, it may be better to omit them.
A visually appealing graph can help draw the reader's attention and make your data more engaging. Use appropriate colors and fonts that are easy to read. Avoid cluttering the graph with unnecessary elements and make sure the data stands out. You can also consider adding a legend or annotations to explain the data further.