DataAnalysis Hack 4.11 + Redeem Codes
Developer: Data Evaluation Systems
Category: Productivity
Price: Free
Version: 4.11
ID: com.scidataanalysis.DataAnalysis
Screenshots
Description
DataAnalysis is a general purpose iPad App for the plotting and fitting of all types of data that can be formulated as x, y pairs. The program can be easily used 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 a text file (.txt), or a comma separated value file (.csv). In addition, data can be pasted from the clipboard.
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 symbol, its size and color.
Using touch and drag the user can create a selection box allowing the creation of a data subset. Once the data subset has been selected the user has two options: (1) To zoom in on the selected data. Any fitting done in this mode is global (e.g. uses all the data). (2) To zoom and perform a fitting only on the selected subset of the data.
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, power, exponential, and log functions.
Data can also be fit to more complex equations for such processes as radioactive decay, enzyme kinetics, 1st and 2nd order chemical reactions, as well as gaussian, logistics and surge functions. The fit can be overlaid on the data with different line widths, types 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 DataAnalysis.
The program output, graphics and text, can be copied, emailed, or uploaded to cloud storage such as iCloud, Dropbox, Box and OneDrive in a variety of formats including PDF, PNG, CSV and TXT. The graphics in PDF format can be edited with programs like Adobe Illustrator™ and AutoDesk Graphic™ as objects.
DataAnalysis also supports multitasking and printing of input data as well as all forms of output.
DataAnalysis has built in tool tips, a comprehensive web based User Guide and videos tutorials all available via the Help Menu.
Data can be entered directly via the keyboard or imported from a text file (.txt), or a comma separated value file (.csv). In addition, data can be pasted from the clipboard.
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 symbol, its size and color.
Using touch and drag the user can create a selection box allowing the creation of a data subset. Once the data subset has been selected the user has two options: (1) To zoom in on the selected data. Any fitting done in this mode is global (e.g. uses all the data). (2) To zoom and perform a fitting only on the selected subset of the data.
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, power, exponential, and log functions.
Data can also be fit to more complex equations for such processes as radioactive decay, enzyme kinetics, 1st and 2nd order chemical reactions, as well as gaussian, logistics and surge functions. The fit can be overlaid on the data with different line widths, types 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 DataAnalysis.
The program output, graphics and text, can be copied, emailed, or uploaded to cloud storage such as iCloud, Dropbox, Box and OneDrive in a variety of formats including PDF, PNG, CSV and TXT. The graphics in PDF format can be edited with programs like Adobe Illustrator™ and AutoDesk Graphic™ as objects.
DataAnalysis also supports multitasking and printing of input data as well as all forms of output.
DataAnalysis has built in tool tips, a comprehensive web based User Guide and videos tutorials all available via the Help Menu.
Version history
4.11
2021-03-31
Fixed bug related to migration to Version 4 data file format from all previous versions.
4.1
2021-03-23
Fixed issue related to using European number formatting as well as a number of minor bug fixes.
4.0
2021-01-14
Version 4.0 of the DataAnalysis is a major update of the App incorporating may of the latest iPad OS features. DataAnalysis now uses the iPad OS Document Browser as the major interface for the user to interaction with existing data files in native, CSV or TXT format. The Document Browser provides options to share, duplicate, rename, move, delete, create subfolders and create new documents. Furthermore, the user can access files stored on iCloud or other cloud storage locations such as Dropbox, Box and OneDrive. DataAnalysis now can perform error analysis in a number of ways. For example, if you have a series of X,Y pairs, in which groups have the same X value, then the DataAnalysis can average each group and calculate standard deviations. These standard deviations can be used to draw error bars on the graph. Other modes to add error bars are also available. The standard curve analysis has been rewritten to simplify use. Output of data in a variety of formats is now much easier by incorporating the iPadOS Share Sheet. You can use the Share Sheet to share, save or print the raw data in CSV or TXT files. The Share Sheet can also be used for sharing, saving or printing the graph, data analysis, or standard curve analysis. Other options are also available from the Share Sheet depending upon what other Apps are installed on the iPad. For example, if the Apps for cloud storage providers such as Box, Dropbox, OneDrive, etc are installed, the Share Sheet can be used to save the raw data, graphs and results to these locations. Data entry into the spreadsheet can now be done using the Apple Pencil. New Getting Started and Error Analysis tutorials also have been added.
3.5.2
2020-04-12
Version 3.5.2 of the DataAnalysis App has a number of important improvements and bug fixes. This version has been compiled with the latest development software (Version 13.3). The DataAnalysis App will now work correctly on all sizes of iPads from the Mini to the Pro 11 and 12.9 sizes. DataAnalysis native format data files are now compatible with the new iPhone version (DataAnalysisLite).
3.4.5
2018-02-20
Version 3.4.5 of the DataAnalysis App has a number of important bug fixes. In addition, DataAnalysis native format data files are now compatible with the new iPhone version call DataAnalysisLite.
3.4.3
2017-03-19
Version 3.4 of the DataAnalysis App has an important new feature, locally weighted scatterplot smoothing. In addition to the various options to fit data to specific mathematical functions, this version of DataAnalysis has added the ability to fit data without the need to specify a mathematical function, by using Lowess Regression (LOcal Weighted regrESSion). Not only does Lowess Regression not require a mathematical function, but also does not require parameters (non-parametric). This fitting method is especially useful for data that does not conform to a specific mathematical model or the mathematical model is unknown. Lowess Regression and related fitting methods are used extensively to fit everything from election polling to astrophysics data, where the data have a large degree of scatter. For more details see the DataAnalysis online User Guide (http://www.scidatadataanalysis.com/DGsite/ug_lowessRegression.html). In addition, a number of bugs have been fixed related to the ability to email data and results as well as save the graph to Photos. Finally, this version of DataAnalysis has been updated with new Dropbox features (API V2).
3.4.2
2016-11-07
Version 3.4 of the DataAnalysis App has an important new feature, locally weighted scatterplot smoothing. In addition to the various options to fit data to specific mathematical functions, this version of DataAnalysis has added the ability to fit data without the need to specify a mathematical function, by using Lowess Regression (LOcal Weighted regrESSion). Not only does Lowess Regression not require a mathematical function, but also does not require parameters (non-parametric). This fitting method is especially useful for data that does not conform to a specific mathematical model or the mathematical model is unknown. Lowess Regression and related fitting methods are used extensively to fit everything from election polling to astrophysics data, where the data have a large degree of scatter. For more details see the DataAnalysis online User Guide (http://www.scidatadataanalysis.com/DGsite/ug_lowessRegression.html). In addition, a number of bugs have been fixed including the ability to upload data and results to Dropbox.
3.4.1
2016-10-24
Version 3.4 of the DataAnalysis App has an important new feature, locally weighted scatterplot smoothing. In addition to the various options to fit data to specific mathematical functions, this version of DataAnalysis has added the ability to fit data without the need to specify a mathematical function, by using Lowess Regression (LOcal Weighted regrESSion). Not only does Lowess Regression not require a mathematical function, but also does not require parameters (non-parametric). This fitting method is especially useful for data that does not conform to a specific mathematical model or the mathematical model is unknown. Lowess Regression and related fitting methods are used extensively to fit everything from election polling to astrophysics data, where the data have a large degree of scatter. For more details see the DataAnalysis online User Guide (http://www.scidatadataanalysis.com/DGsite/ug_lowessRegression.html). In addition, a number of bugs have been fixed related to the ability to email data and results.
3.4.0
2016-10-23
Version 3.4.0 of the DataAnalysis App has an important new feature, locally weighted scatterplot smoothing. In addition to the various options to fit data to specific mathematical functions, this version of DataAnalysis has added the ability to fit data without the need to specify a mathematical function, by using Lowess Regression (LOcal Weighted regrESSion). Not only does Lowess Regression not require a mathematical function, but also does not require parameters (non-parametric). This fitting method is especially useful for data that does not conform to a specific mathematical model or the mathematical model is unknown. Lowess Regression and related fitting methods are used extensively to fit everything from election polling to astrophysics data, where the data have a large degree of scatter. For more details see the DataAnalysis online User Guide (http://www.scidatadataanalysis.com/DGsite/ug_lowessRegression.html). In addition, a number of bugs have been fixed related to the ability to email data and results.
3.3.0
2016-09-19
This is a minor upgrade with one new feature and bug fixes. We have added two new symbols, + and x, which can be used in the graphs. In addition, we have also corrected problems with entry of data into the spreadsheet.
3.2.0
2016-02-02
Version 3.2.0 of the DataAnalysis App has one major new feature and a number of minor bug fixes. The much requested new feature is the ability to select and work with a subset of the data. By using touch and drag the user can create a selection box. Upon selection of the data subset, the user has two options. (1) To zoom in on the selected data. Any fitting done in this mode is global (e.g. uses all the data). (2) To zoom and perform a fitting only on the selected subset of the data. For more details see the DataAnalysis online User Guide (http://www.scidataanalysis.com/DGsite/ug_zoom_graph.html)
3.1.1
2016-01-09
Version 3.1.1 includes the ability to paste x, y data into DataAnalysis via the iOS clipboard. Thus, data from any iPad App can now be easily entered into DataAnalysis. In addition, a number of small changes have been made to eliminate bugs introduced between Versions 2.9.1 and 3.0.0, including better integration of the HELP system with the DataAnalysis online User Guide (www.scidataanalysis.com/user_guide.html).
3.0.0
2015-12-21
This is an important upgrade to the DataAnalysis App as data entry has been completely rewritten. Data entry is now via a spreadsheet rather than a traditional data pad. This change will allow the incorporation of many new features in future updates. Support for DropBox, printing and email of data and results has also been much improved. Graphics output in pdf format can now be editing in programs such as Adobe Illustrator® and AutoDesk Graphic®.
2.9.1
2015-10-26
DropBox support updated for iOS9. Issues with large data files fixed. A number of minor issues have also been repaired.
2.9.0
2015-09-23
Critical updates have been introduced to provide compatibility with iOS9. App is now linked to the new User Guide, also available directly on the DataAnalysis Website (www.scidataanalysis.com/userguide). A number issues involving the export and import of files and printing data, graphs and results have been resolved.
2.0.30
2014-11-03
Fixed bug that caused the lower button bar on Data Entry page to disappear on last version.
2.0.29
2014-10-24
This version has bug fixes related to the Help System, and the Graph Options Popover not allowing axis labels and a graph title to be entered.
2.0.19
2014-10-02
A variety of bug fixes. The most important are: (1) the keyboard now does not cover the filename text field in iOS8, (2) when data is entered without a filename and the user immediately returns to the Files page, the data is automatically saved in an "Untitled" file, and (3) a variety of minor bug fixes.
2.0.18
2014-01-30
This is the first major upgrade of DataAnalysis. This version is also completely redesigned to take advantage of the new features in iOS 7 (if available). DataAnalysis remains compatible with all iPads with iOS 5.1.1 and above.
New Feature List:
64 bit support on iPads with the A7 processor. Data fitting on large data tests is improved because the Apple LLVM compiler has been optimized to take full advantage of the 64 bit A7 processor.
Tool tips are available from the HELP menu item on each page. In addition, a direct link to the extensive HELP system on the DataAnalysis website is provided via a button on each page that is accessed from Tool tips.
Files can now be deleted directly from the startup page. Simply press the EDIT button, select one or more files to be deleted then press the Trash can. If you decide not to delete the files simply press the DONE button. Tool tips are also available on the EDIT page.
DataAnalysis can now handle hundreds of files with each having up to 2000 points. A sample data file is now included with a 2000 point data set.
Additional keys are available on the keyboard to make data entry easier, including cursor left and right, tab and enter exponent.
Manual scaling of the axis is now available. Simply double tap near the xmin, xmax or ymax
values and type in the new value followed by return
The graph title, x and y axis labels and data points are now saved. Input of axis labels and the graph title is via the Graph Options Popover from the Graphics View.
Improved Dropbox support.
New Feature List:
64 bit support on iPads with the A7 processor. Data fitting on large data tests is improved because the Apple LLVM compiler has been optimized to take full advantage of the 64 bit A7 processor.
Tool tips are available from the HELP menu item on each page. In addition, a direct link to the extensive HELP system on the DataAnalysis website is provided via a button on each page that is accessed from Tool tips.
Files can now be deleted directly from the startup page. Simply press the EDIT button, select one or more files to be deleted then press the Trash can. If you decide not to delete the files simply press the DONE button. Tool tips are also available on the EDIT page.
DataAnalysis can now handle hundreds of files with each having up to 2000 points. A sample data file is now included with a 2000 point data set.
Additional keys are available on the keyboard to make data entry easier, including cursor left and right, tab and enter exponent.
Manual scaling of the axis is now available. Simply double tap near the xmin, xmax or ymax
values and type in the new value followed by return
The graph title, x and y axis labels and data points are now saved. Input of axis labels and the graph title is via the Graph Options Popover from the Graphics View.
Improved Dropbox support.
1.23
2013-09-19
Fully compatible with iOS7. Surge Function added as an additional option for data analysis. Data files imported via Mail, using scientific notation, are now open correctly. Numerous other minor improvements and bug fixes.
1.22
2013-08-14
A error in the calculation of data averages has been fixed. A few other minor bugs and also been fixed.
1.21
2013-05-10
The logistics function has been added (y = A/(1+Be^(-kx)). A bug related to X and Y axes labels not always showing up has been fixed. Other small bugs eliminated.
1.2
2013-04-26
A number of new features have been added in this version. To speed manual data entry additional functions have been added to the keyboard including cursor left and right, tab and enter exponent. Preferences for setting of the default X and Y axis modes, points being connected by line segments and the ability to disable fitting all can be set via the DataAnalysis button from System Settings. To speed entry of parameters the return key can be used to move from one parameter input field to the next. The return key can also be used enter value(s) using the Standard Curve Analysis.
1.14
2013-03-25
The version fixes a major bug with the Help System and the emailing of results caused by changes introduced with iOS 6 and above.
1.12
2012-11-15
Numerous bug fixes and new features have been added in this version. Data values can now be entered in scientific notation. A number of bugs related to copying the graph and pasting it into other applications, such as Pages or Keynote, have been fixed. Manual scaling of the axes has been added as the key new feature. Simply double tap on the graph near the xmin, xmax, ymin or ymax values and type in the value of your choice followed by a return. The axis/axes are rescaled. Auto scaling can be reset by using the switch provided.
Ways to hack DataAnalysis
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Ratings
4.1 out of 5
103 Ratings
Reviews
Nucleophile,
Great app for quick and on the go plots
I just want to first say that this app is amazing. It has helped me track initial kinetics of reactions in the lab so many times that I have been too lazy to pull out my laptop.
I only have a couple suggestions. Mainly, make it available to use on iPhone. I know a lot of the functionalities would be lost, but perhaps a version that is iPhone-compatible would be well utilized (at least by me) if I want to analyze some stuff I plotted earlier on my iPad or even roughly plot while on the go.
Also, I would love to see the ability to make a double-Y plot. Being able to graph two trends on the same plot is essential for some of my reactions and would be amazing to see.
Great work so far, though! :)
I only have a couple suggestions. Mainly, make it available to use on iPhone. I know a lot of the functionalities would be lost, but perhaps a version that is iPhone-compatible would be well utilized (at least by me) if I want to analyze some stuff I plotted earlier on my iPad or even roughly plot while on the go.
Also, I would love to see the ability to make a double-Y plot. Being able to graph two trends on the same plot is essential for some of my reactions and would be amazing to see.
Great work so far, though! :)
dimesio123,
Paste from clipboard???
Seriously need to add an import function inside the app for CSV files at the very least. Forcing folks to use Dropbox or the mail app to take advantage of that functionality is ridiculous and takes away from what you can really do with the app....
Birdydon,
Works as Described
The input and output are not very fancy but if you need a simple x-y plot, this is it. It produces a nice graph and will fit a polynomial line (via regression) of your choice together with relevant statistics.
My first use was to plot some blood sugar readings that I take daily. It did an excellent job.
Update:
I am giving it another star.
My first use was to plot some blood sugar readings that I take daily. It did an excellent job.
Update:
I am giving it another star.
katvvvv,
Waste
I was happy to finally find an app to conduct data analysis . Unfortunately the app will not let me import .csv files only the app specified format . Very disappointing
Angelwood,
Extrapolation a pain
I Love the concept and understand the potential power, but my first data entry attempt included negative y values; which I am told is a non- numerical character in an error message! (UPDATE: I found a way to fixed this with a less intuitive data entry method)
Perhaps my biggest problem after playing with some spectrophotometry curves and enzyme velocity curves is that once I enter a set of data, plot it, then fit the appropriate curve, then try to use it as a standard curve; any data that is beyond the original data is off the graph and out of sight--the app has no automatic re-scaling function that I can find. My data frequently requires extrapolation and without a large enough area on the plot, I am limited to interpolation.
I wanted to use this with my students, and at my bench. Without extrapolation (& auto re-scaling)...no dice.
I wanted to contact the developer, but the developer website kept forcing me to the "manual" and provided no contact info.
Perhaps my biggest problem after playing with some spectrophotometry curves and enzyme velocity curves is that once I enter a set of data, plot it, then fit the appropriate curve, then try to use it as a standard curve; any data that is beyond the original data is off the graph and out of sight--the app has no automatic re-scaling function that I can find. My data frequently requires extrapolation and without a large enough area on the plot, I am limited to interpolation.
I wanted to use this with my students, and at my bench. Without extrapolation (& auto re-scaling)...no dice.
I wanted to contact the developer, but the developer website kept forcing me to the "manual" and provided no contact info.
Nellow3,
Good. Only thing strange
This is potential very useful, but its usefulness quickly declined for me when I found what appears to be a major flaw in logic. When you plot x,y values, x is almost always the independent variable in any function. Therefore, when I fit a function to a set of data, what I would like to do is input an x value to see what the corresponding y value is. Not the other way round.
If I know that 1 apple cost 25 cents, 2 apples cost 42 cents and 5 apples cost 96 cent and I plot this data, I would like to know how much 3 apples cost. It does not make any sense for me to have to guess a price (y value) to see how may apple I can buy (x value). Although that may sometimes be useful, the y value is what I really want to know by entering the number of apples (x value).
If you can change this, you can charge for the app, seriously.
If I know that 1 apple cost 25 cents, 2 apples cost 42 cents and 5 apples cost 96 cent and I plot this data, I would like to know how much 3 apples cost. It does not make any sense for me to have to guess a price (y value) to see how may apple I can buy (x value). Although that may sometimes be useful, the y value is what I really want to know by entering the number of apples (x value).
If you can change this, you can charge for the app, seriously.
LRBB,
teacher
This is one of the best and most powerful apps I've seen. While some aspects are not intuitive (little about statistics is), it is very easy to use, especially with the handy tutorials that are offered at start up. It's easy enough to turn off the tutoria-at-startup feature, but I advise you to watch them first. They are short but very effective. There are features (such as automatically averaging several Y values for each X value, allowing either X or Y input for calculated values, removing background values from Y measurements, etc) that are usually found in very pricey programs.
Marcus Mendenhall,
nice package!
this is an excellent light-weight plotting and fitting package. It could use a few more features, which I don't think would be hard to implement. Even without these, it is highly useful.
Suggestions:
error bars
multicolumn data, where one can select the column for x,y and an error bar, and then plot multiple sets from the same file by selecting different columns sets.
weighted fitting: allow error bars to select weights, along with option for constant fraction error, poisson errors (sort of data value) and two common hybrid weights,
sigma^2=y+a*y^2 (poisson error with constant fraction noise for high counts)
and
sigma^2=b^2+a*y^2 (fixed noise floor plus constant fraction error)
of course, if one is allowed to load error bars in the first place, the user could just fill these values in, but automating a few common cases is very convenient.
Thanks for the work on this!
Suggestions:
error bars
multicolumn data, where one can select the column for x,y and an error bar, and then plot multiple sets from the same file by selecting different columns sets.
weighted fitting: allow error bars to select weights, along with option for constant fraction error, poisson errors (sort of data value) and two common hybrid weights,
sigma^2=y+a*y^2 (poisson error with constant fraction noise for high counts)
and
sigma^2=b^2+a*y^2 (fixed noise floor plus constant fraction error)
of course, if one is allowed to load error bars in the first place, the user could just fill these values in, but automating a few common cases is very convenient.
Thanks for the work on this!
ScienceEdProf,
Awesome
Your new program is awesome. I work with many science teachers and student teachers each year. As the iPad is used more in schools, I think your program extends what students can do using their iPad in science class. Offering a free version increases the chance that students and teachers can access the program. Thanks!
I'm #4,
Amazing da app!
Hands down the best app in app store! Very easy to use and very well designed yet it's so useful!!!
The author must be a genius and kindest person to offer such a wonderful app for free! Strongly suggest to at least add a "gratitude" button to let grateful users show their tokens of appreciation!
It's very useful for physics, finance and economic students!
The author must be a genius and kindest person to offer such a wonderful app for free! Strongly suggest to at least add a "gratitude" button to let grateful users show their tokens of appreciation!
It's very useful for physics, finance and economic students!
