Graph vs DataAnalysisLite

Graph is straightforward: • Makes graphs from numbers. • Made by the data visualization expert - VVI®. • Touch-hold a graph to email, print or save to your Photo Album. • Plenty of built-in options. • AirDrop your graph to the most powerful data visualization application on the iPad, Graph IDE. FEATURES • Includes several 1D, 2D and 3D graph types such as bar, column, pie, line, area, scatter, 3D perspective scatter, trajectory and surface, volumetric, z-sliced cell, maps, linear, semi-log, x-log, log-log, polar, r-log, Gregorian date and many variations. • Data is pasted from the pasteboard and inserted and edited using a table interface. • Touch-hold a graph to export it to Graph IDE on the iPad. Graph IDE is the most powerful data visualization application for the iPad and gives access to a wide variety of graph types and graphical effects. (Graph IDE is separately available for the iPad). • Touch graphs to rotate, zoom, scroll and scan data. • Touch data graphics, such as lines and bars, to show data values. • Touch-hold a graph to copy, print, mail, AirDrop and save it to other applications. • Data and preferences are organized by project and each project is persistent and automatically saved so you can show and retrieve your settings and data on subsequent use. NOTE: Continued use of GPS running in the background can dramatically decrease battery life. The Location Tracking task requires GPS for its function.

DataAnalysisLite is the iPhone version of the DataAnalysis iPad App. DataAnalysisLite is a general purpose App for the plotting and fitting of all types of data that can be formulated as x, y pairs. The program can be used easily by both students and professionals. It is particularly useful for quick analyses of various types of data by curve fitting, value prediction via a standard curve, and analysis of kinetic data including enzyme kinetics. Data can be entered directly via the keyboard or imported from the Mail, or other Apps as a text file (.txt), or a comma separated value file (.csv). Data files in txt, csv and native formats can be directly exported/imported to/from Dropbox and Google Drive. After data entry, the user has the option to average, baseline correct, and/or normalize the data before plotting and fitting. Plotting of the data is as simple as pressing the Plot button. The axes are autoscaled and the graph is immediately ready to add to a document or presentation. The user has a variety of options to customize the graph by altering the axes, axes labels, graph title, and changing the symbols and colors. The data can be fit to a variety of mathematical equations by non-linear regression including simple functions such as linear, 2nd and 3th order polynomials and exponential functions. Data can also be fit to more complex equations for such processes as radioactive decay, enzyme kinetics, as well as 1st and 2nd order chemical reactions. The fit can be overlaid on the data with different line widths, line types, colors and thicknesses. Lowess Regression (LOcal Weighted regrESSion) can also be used to fit data without the need to specify a mathematical function. Not only does Lowess Regression not require a mathematical function, but also does not require parameters (non-parametric). This fitting method is used extensively to fit everything from election polling to astrophysics data, where the data have a large degree of scatter. For many analytical situations, the data fit can be used as a standard curve to determine the value of unknowns. This analytical procedure is completely automated within DataAnalysisLite. The program output, graphics and text, can be copied, emailed, or uploaded to a variety of Apps including Dropbox, Google Drive, Evernote and the Files App in a variety of formats. The graphics in PDF format can be edited with programs like Adobe Illustrator™ and AutoDesk Graphic™ as objects. DataAnalysisLite also supports multitasking and printing of input data as well as all forms of output. An in App HELP system is available that integrates with the DataAnalysisLite User Guide (http://www.scidataanalysis.com/iPhone/user_guide.html).