3D Data Plot vs Art of Stat

1. Measurement data (CSV file) can be plotted in 3D. • Interprets delimiters other than commas: tab(\t), space(\s) and so on. • Imports the 4th element, which is used as density, concentration and so on. • Imports the value represented with exponential notation "0.0E±0", which is outputted by Excel. • Internal processing in float type, which has a range of ±1E-38 to ±1E+38 with a precision of 6 decimal digits. 2. You can import CSV file in three ways: When completing within one device (iPhone/iPad/Mac). • Create a text file with an application (Notes, Textor, etc.) on the device. • In the application, tap "share button" and then choose “3dDataPlot”. Transfer from Mac to iPhone/iPad • Connect your device (iPhone/iPad) to your Mac via USB cable. • In Finder on your Mac, select the device in the left sidebar and click "File" on the button bar at the right. • Drop a text file into “3dDataPlot” folder. Import from iCloud • Sign in to iCloud.com from browser (Safari, Chrome, etc.) on your Mac. • Select “iCloud Drive”. • Drop a text file into “3dDataPlot” folder.

News: The Explore Data app is now part of the all new Art of Stat app, which contains this and seven other modules. Please consider getting the Art of Stat app for the latest updates and features: https://apps.apple.com/us/app/art-of-stat/id6755374228 ------ The Art of Stat: Explore Data app includes statistical methods for exploring categorical and quantitative data. Obtain summary statistics, contingency tables or correlation coefficients and easily generate bar- and pie charts, histograms, boxplots (including side-by-side boxplots), dotplots or interactive scatterplots that let you color dots by a third variable. Several example datasets are preloaded for you to explore (including instructions on the statistical analysis), but you can also enter your own data or import a CSV file from a cloud account. The following methods are implemented: - Analyzing One Categorical Variable - Comparing Groups on a Categorical Variable - Analyzing the Relationship Between Two Categorical Variables - Analyzing One Quantitative Variable - Comparing Groups on a Quantitative Variable - Analyzing the Relationship Between Two Quantitative Variables (Linear Regression) The app provides: - Frequency tables and bar and pie charts for exploring one categorical variable. - Contingency tables, conditional proportions and side-by-side or stacked bar charts for exploring a categorical variable across several groups or the association between two categorical variables. - Mean, standard deviation and the 5-number summary together with histograms, boxplots and dotplots to explore a quantitative variable. - Side-by-side boxplots, stacked histograms or density plots for comparing a quantitative variable across several groups. - Interactive scatterplots with regression lines to analyze the relationship between two quantitative variables. Correlation statistics and linear regression parameters and predictions. Plots of raw and studentized residuals. The app comes with several example datasets preloaded, which you can directly open in the app to explore the app's various features. You can also type in your own data or upload your own CSV file (which any spreadsheet program can create) and select variables from it. Finally the app includes a basic spreadsheet program called Data Editor to create and edit data. You can also copy & paste data from a spreadsheet app such as Google Sheets, Excel or Apple’s Numbers app. Several sample datasets are provided.