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#6in Data Analysis

DataAnalysisLite

D Tier
Weak · provisional
53
3.99 ratings
Freeto download
5.6ysince update
Productivity
category
Education
category
4+age rating
1language
Made for iPhone

What is DataAnalysisLite?

Plots and fits x, y data on iPhone, with curve fitting, standard curve prediction, and kinetic data analysis.

DataAnalysisLite is the iPhone version of the DataAnalysis iPad app, described as a general purpose tool for plotting and fitting data that can be formulated as x, y pairs. It supports non-linear regression to common equations, Lowess regression without a specified function, and automated standard curve calculations for unknown values. Output graphics and text can be copied, emailed, or uploaded to other apps.

Pricing. DataAnalysisLite is free, with no in-app purchases on the App Store.

Good for

  • Fitting x, y data to linear, polynomial, or exponential curves
  • Predicting unknown values from a standard curve
  • Analyzing enzyme kinetics or first and second order reaction data

Screenshots

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Why this app is in D tier

53/100The average of 4 parts, with no weights
Rating62
Ratings50
App Store search rank100
Update recency0

D tier follows from that score within this list. The full explanation, as data.

DataAnalysisLite scores 53 out of 100: rating 62, rating count 50, App Store search rank 100, update recency 0. The four parts are averaged and D tier follows from that score within this list.

Description

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.

Read more

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).

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Questions about DataAnalysisLite

Is the app free?

It is free to download and lists no in-app purchases.

How is data entered or imported?

Data can be typed in via the keyboard or imported as.txt or.csv files from Mail or other apps. Txt, csv, and native files can be exchanged with Dropbox and Google Drive.

Can it fit data without a mathematical function?

Yes. The listing describes Lowess Regression, a non-parametric method that fits data without a specified equation, and says it is useful for data with a large degree of scatter.

Is DataAnalysisLite right for me?

DataAnalysisLite is built for fitting x, y data to linear, polynomial, or exponential curves, predicting unknown values from a standard curve, analyzing enzyme kinetics or first and second order reaction data. It sits in the data analysis list on AppTierList.

Is DataAnalysisLite worth it?

DataAnalysisLite is D tier, ranked #6 of 6 data analysis apps with a score of 53 out of 100, from a 3.9 App Store rating across 9 ratings. 5 apps rank above it in the same list.

How does DataAnalysisLite compare to Vernier Graphical Analysis?

DataAnalysisLite is D tier at 53; Vernier Graphical Analysis is B tier at 71. Vernier Graphical Analysis ranks higher. DataAnalysisLite is free, with no in-app purchases, Vernier Graphical Analysis is free, with no in-app purchases.

How often is DataAnalysisLite updated?

DataAnalysisLite was last updated over a year ago, on 2021-04-14, which holds its tier down.

Alternatives

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All the facts

Ranking

Lists
Data Analysis (D tier, #6) · Graphing (F tier, #11)
Tier
D (Weak)
Score
53 / 100
Rank in list
#6 of 6
Ranking certainty
early: few ratings or search ranks so far

Ratings

App Store rating
3.9 out of 5, every App Store country
Ratings
9

App

Price
Free download
App Store category
Productivity
Current version
(2040 days ago)
Size
17 MB
Requires
iOS 12.0 or later
Age rating
4+
Languages
1
Runs on
iPhone

Links

Developer pages
Website · Support · Privacy policy
Maker
not verified

App Store data read · ranking