##### 1. Use CropStoreDB or upload your data file in CSV format. R default options for read.csv will apply except for missing values where both NA and dot . are treated as missing. If your data has columns with other non-numeric missing value codes then it will be treated as factors.

##### 2. It is assumed that your data is ready for ggplot (long format).

##### 3. x and y variables input allow numeric and factor variables.

##### 4. Sliders for x and y variables appear only for numeric variables.

##### 5. For more than one y variable stack your data first. Then you can use values for y variable and your variable identifier for facetting. You might also want to use Facet Scales: free_x or free_y in the Graph Options tab.

##### 6. The UI is dynamic and changes depending on your choices of options, x ,y, filter, group and so on.

##### 7. There is two slots for Filter variables. Use these to apply exclusions on your data.

##### 8. Filter variable 2 is applied after filter variable 1. Values shown for filter variable 2 will depend on your previous data exclusions via x/y sliders or filter variable 1.

##### 9. If you want to change a numerical variable to categorical include it in the list of Categorical variables and then choose a number of cuts (default is 3). This helps when you want to group or color by cuts of a continuous variable.

##### 10. You can simply change a numeric variable to factor without binning in the treat as categories slot.

##### 11. Download the plot using the options on the 'Download' tab.

##### 12. Visualize the data table in the 'Data' tab. You can reorder the columns, filter and much more.