- Upload your dataset
- Specify your datafile's path, and characteristics
- Subset data prior to any analysis and plotting if you wish

- Plot your data
- Select variables X and Y
- Select graphic type
- Adjust characteristics such as size, color, symbols, axis titles, etc.

- Export your graphic
- Choose graphic's format among .png, .jpeg, .bmp and .tiff
- Choose graphic's size
- Save graphic

Vaudor, Lise. 2016. graphiT: A Shiny Application to Simplify the Production of Statistical Graphics (Version 1.0). Shiny application. https://github.com/lvaudor/graphiT.

In .bib format:

@misc{vaudor_graphiT_2016, title = {graphiT: {A} {Shiny} application to simplify the production of statistical graphics}, url = {https://github.com/lvaudor/graphiT}, author = {Vaudor, Lise}, year = {2016} }

**Information panels** are signalled by:

Here you can specify some **graphic features** such as

**size**(in pixels) of your graphic as it appears in the application**axes transforms and bounding****facets**, i.e. if you wish to produce different graphs for different data subsets (defined by the levels of one of the categorical variables in the dataset)**theme**: general appearance**axis labels**and**title**