overview_plot Function Does not Plot Correctly about overviewr HOT 6 OPEN

Cosima::: Good morning! Yes, I am using the latest CRAN version of the overviewR package 0.0.1.1. Warm regards, Brice

Cosima::: That seems like extra overhead just to change the color theme of a plot. I would encourage you to rethink the ideas currently defining how the overview_plot is crafted. There should be an argument to change the color scheme without having to add extra dimensional variables to your dataset. In addition, colors should be allowed to be expressed beyond the scope of numeric values but should also include actual color names (blue, green, etc.). Thank you for considering my remarks. Warm regards, Brice Richard Data Scientist Washington, DC USA

Cosima::: Thank you for your response and your continued interest in some of my ideas. I have worked with other R package developers in the with ideas that were subsequently integrated into their packages. The reason I am informed on many of these ideas is because I developed a tool that can monitor the global technologies introduced into R as packages supporting either ML, software engineering, or data science proper. So, I am consistently evaluating new and emerging technologies as well as the ways in which package developers are applying the R language to execute the functionality used in these packages. I will tell you there appears to be a movement away from ggplot2 in terms of independent user deployment of plotting. There is becoming more of a reliance on package developers to integrate supporting plots into their packages without having to separately create them. Of course ggplot2 will always exist in some form but it will be used less by users and more by package developers. Having said that, R plots used to support their corresponding packages should be endowed with a rich set of arguments to maximize the flexible use and presentation of these plots. This includes color, titles, and where appropriate, size and shape of plot parts. Examples that exemplify these features include but are not limited to WVPlots (HexBinPlot, DoubleHistogramPlot, ScatterHist, and ShadowHist), ezplot (histogram_plot), and ggpubr (ggballoonplot, gghistogram). The tendency with the application of color in these plot forms is to either provide a color or a palette argument to effect the plot output. I also have some ideas to consider for future functions related to how dates can be disaggregated especially when working on customer churn-based projects. I believe your overviewR package is the ideal package to incorporate additional date-parsing capabilities which do not exist in other packages in the R environment. I apologize for the long-winded response but there is much to say on this issue. Warm regards, Brice Richard Data Scientist Washington, DC USA