Data Visualization

JustPlot is developed to create graphs of data from excel’s .csv file in a quick and easy manner. It can create scatter, line and trend charts. PlotAll is an extended version of JustPlot. It has the capability of data subsetting, reshaping and plotting data loaded from excel’s .csv files. It can create scatter, line and trend charts with enhanced ability to design chart objects. Data distribution can also be observed with histograms, polygons, density, box and whisker and violin plots. Correlation between the variables can be determined using correlation matrix.

Machine Learning

MLearn is developed to create machine learning models of data from various file formats  i.e. csv, txt, xlsx, dta, xpt, arff, dbf, rec, mtp, mat, sav, sys, rds, json, html and xml. Models include regression, classification, principal component analysis (PCA) and clustering. Regression includes polynomial, support vector and random forest algorithms. Classification includes logistic regression, support vector machine, naive bayes, decision tree and random forest algorithms. Clustering can be done using kmeans, hierarchical, hierarchical kmeans, fuzzy, model-based and density-based algorithms. Output data can be exported in excel’s csv file from the app.

Create Investment Portfolios

Stock plots historical data of stocks, ETFs, mutual and bond funds listed in NYSE, NASDAQ and AMEX. Data can be shown as price trend, return distribution and correlation. Random portfolios can be generated with various risk and return. User can choose any portfolio to diversify investment based on their risk appetite. Commodity plots historical data of commodities. Prices are provided in $USD. Data can be shown as price trend, return distribution and correlation. Random portfolios can be generated with multiple commodities. Forex plots historical currency data. Prices are provided in currency/USD, means $USD requires to purchase the currency of interest. Random portfolios can be generated with various currencies.