scgUtils (development version 0.0.1)
Initial release of scgUtils, featuring a suite of functions for effective data visualisation and survey data analysis.
New Features
colour_display: A new function for visualizing colour options from specified palettes, enhancing text readability on coloured bars.colour_pal: Generates colour palettes for graphs, supporting sequential, diverging, categorical, and political palettes.colour_prep: Prepares a colour palette for visualizing data, assigning colours to unique values across specified columns in a data frame.compile: A new function that generates a comprehensive CSV or statistics data frame from survey data, combining crosstabs and/or statistics for each pair of row and column variables. It allows saving the results as a CSV file or returning them as a data frame.crosstab: A new function for generating crosstabs (contingency tables) from survey data. It provides options for formatting, including statistical measures, creating visual plots, and handling weighted data.get_data: a helper function for loading internal datasets.get_file: Enhanced file retrieval and preprocessing function, capable of handling files from local storage, OneDrive, web sources, and more.survey dataset: Integration of Wave 25 of the 2014-2023 British Election Study Internet Panel as a practice dataset within the package. This inclusion offers users a substantial dataset for practicing the package’s functions and charts.grid_vars: A function for transforming binary grid survey questions into a longer format, enabling comparisons across different variables or groups.grp_freq: A function to calculate the frequency and optionally the percentage of a variable by groups in survey data, supporting both weighted and unweighted data.grp_mean: Provides the capability to calculate grouped mean (either unweighted or weighted) of a specified variable in survey data.plot_bigfive: A new function for visualizing Big Five personality traits using radar plots. Supports both individual and group comparisons and accommodates weighted data.plot_binary: A new function for visualizing binary survey responses using bar plots. Facilitates comparative analysis and supports optional grouping and weighting.plot_popn: A new function for creating visual representations of population profiles from survey data. Illustrates distributions of age groups across genders or other categories.plot_sankey: Introduces the ability to create interactive Sankey diagrams for illustrating data flow or transfer between different entities.process_factors: Function to remove unused levels from factor variables in a data frame, while preserving non-factor columns.theme_scg: Introduces a custom ggplot2 theme specifically designed for scg plots, offering a visually consistent and appealing style for data visualizations.