v0.2.10

• Refactored the internal code of all the modules to optimize their performance.
• Refactored tm_g_scatterplot to compute trend line statistics using ggpmisc::stat_poly_eq to simplify code and to have labels for each group on the plot.
• Refactored tm_g_scatterplot to enable filtering via the Encoding Panel using the new filter_spec functionality.
• Added support for logical variables in tm_variable_browser.
• Updated tm_outliers to handle non-CDISC datasets.
• Updated UI of tm_variable_browser for factor and character variables with more than 30 levels.
• Updated sparklines to remove NA values for numeric variables.
• Added checkbox to display number of observations on plot to tm_g_scatterplot.
• Added validation statements to tm_g_scatterplot handling users choosing more than one facet variable.
• Improved performance of tm_variable_browser by a more efficient sparkline generation.
• Added the html code type for all datasets labels inside tm_missing_data.
• Improved the styling of tool tips in tm_a_regression, tm_missing_data and tm_variable_browser.