R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.

A simple python plotting package for density and scatter plotting.

Relational Plot, Two Dimensional Plot, Scatter Plot, Pair Plot, Faceted Plot, Box Plot, Bar Graph, and Density Plot

XeroGraph is a Python package developed for researchers and data scientists to analyze, visualize and impute missing data in datasets.

Exploratory Data Analysis and Visualization-We have used descriptive statistics to describe our data by using quartile, Range, Summary, Percentage, cross Tabulation .I have used two interactive Stacked bar chart for showing the contribution of agriculture, industry and Service effect on the GDP per capita of the country as well as on Continent t…

Some elements of data visualization with R

This project conducts in-depth analysis and visualization on a bike sales dataset, identifying key insights such as customer revenue distribution, age group purchasing trends, profit margins by region, and inter-feature correlations.

It is a data visualization tool built using the Unity Data Visualization Template (UDVT).

Learn the basic features of ggplot, plot advance density plots, explore different data visualization methods in R, explore missing values in data, ANOVA, and more.

A shiny dashboard provides information about the cost of living in different countries

Bioinformatics tasks: DNA-protein translation, Hamming distance, and six visualizations for gene expression & breast cancer data using Pandas, Seaborn, Matplotlib.