Graph vs Number Analytics

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.

Number Analytics is a statistical software for advanced statistical tests, regression analysis, text analysis, and survival analysis. It supports multiple data formats like SPSS, Minitab, Excel, CSV, STATA and SAS. The software provides powerful graphs and tables for mean difference tests (T-test, ANOVA), linear regression, logistic regression, K-means clustering, and survival analysis (Kaplan-meier plot). Text cloud visualization enables you to analyze unstructured customer feedback text data in seconds. Easily analyze your data anytime, anywhere with smartphones and tablets. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Statistical analysis is critical to improving business, society, and how we live. Market research for new product development, social science research at universities, and medical research at hospitals are all looking for statistically significant data patterns based on actual, experimental, or survey data. Number Analytics is designed for users who are not good at coding and statistics, but need to easily analyze various types of data for their research on their mobile devices. In the past, analyzing data meant spending hours preparing data, summarizing summary statistics, performing numerous statistical analyses based on hypotheses, and finding statistically significant relationships between variables. Especially for beginners, selecting the right statistical models and interpreting the results are the pain points and require considerable time and effort. Now it can be done with clicks and automation that can speed up the process at least 10 times. With Number Analyzer, the computer will automatically apply these statistical models and explain the statistical results in plain English. Because the computer knows which statistical models to use, you can run more than 100 statistical analyses at once. The statistical results, such as linear regression and ANOVA, show not only statistical test results, but also graphs with confidence intervals and marginal effects, and tables coded with statistical differences between subgroups. To upload your own data, first download or move your data to iCloud storage. Then click the Upload button in the Data section. You can easily upload and use the data. Various data formats are supported including labelled survey data (SPSS). Supported data file formats - SPSS, Excel, CSV, Minitab, STATA, SAS Currently the upload file size is limited to 2Mb. Descriptive statistics -Summary Statistics -Frequency Table -Crosstab (Chi-sq. Test) -Pivot table -Correlation -Text analysis Mean Difference test -One Sample T-test -Paired Sample T-test -Independent Samples T-test -ANOVA (Analysis of Variance) test Regression Analysis - Linear Regression - Fixed Effect Regression - Logistic Regression Clustering Analysis - K-Means Clustering Survival Analysis -Kaplan Meier plot