You’ve done it. That brilliant, one-of-a-kind idea has conceptualized from a slight notion to a thoroughly thought-out action plan. You are sure that this app will solve a problem in a way that no others have done before. You’re ready to make a splash in an over-crowded market with no
What Is a Mobile App Development Tool These days, all you ever hear about is mobile apps. The consumer world has been there, done that with standard websites and online offerings. The new competitive standard for every business in almost every industry centers around a great app with a clean
If you’re familiar with Rootstrap, you’ve probably heard us talk about Roadmapping. In many ways, Roadmapping is our signature service. Not only is it one of our flagship offerings, but it also embodies our ethos as a company. Our Roadmapping workshop is what really got Rootstrap off the ground, and
Germán Stábile is an iOS developer on the Rootstrap team. He writes about the challenges faced in iOS development. You can follow Germán on LinkedIn. Note: This blog helps you integrate RSFormView into your app. For more about the motivation and implementation of RSFormView see the previous article. Create an Xcode project
Germán Stábile is an iOS developer on the Rootstrap team who writes about the challenges faced during iOS development. You can also follow Germán on LinkedIn. Note: this post is meant to discuss motivations and implementation of RSFormView, if you are interested in a tutorial on how to integrate please visit RSFormView Readme or
Abstract: A prebuilt boilerplate code base can save time and effort when you create new projects. This article explains why a custom-built iOS base like ours works even better. Summary: When you build a platform from scratch, some of the initial work might be the same for every project. You can save
Decision making is an art as old as time itself. Every single day, 7.44 billion human beings are faced with choices to make. From questions so small as whether to turn left or right to reach a destination to selections as colossal as choosing a lifetime partner, or picking the
The Django framework saves time and effort and helps to create apps and REST APIs with maintainable code. This post gives some practical examples of what to do and what not to do when you code in Python using Django. In this post, I’ll explain why good code structure and
We can make predictions with machine learning by generalizing our data’s pertinent characteristics. Summarizing diverse datasets provides insight that can help produce more relevant generalizations.
Data predictions provide probabilities of future outcomes by mining and analyzing existing data, also called training data. Effective prediction is a mix of engineering, statistics, and intuition. Summarization can help by shaping this intuition. In the generalization phase, we test our training data against new data, called test data, to calculate if our model is good enough to be used in real life. These two processes simplify large multidimensional datasets, so machine learning predictions can be applied to them. This article describes how summarization leads to generalization and then prediction through a real estate example.
Why we should choose representative samples with error in mind when we build data visualizations. A brief overview of uncertain bar charts and uncertain ranked lists.
The type of data samples that populate our visualizations can add uncertainty to our results. Some common data displays like bar and pie charts work better than others for making that uncertainty understandable. This article explores how to understand our data samples and create the most suitable graphs for visualizing what they represent.
In general, the goals of data science are to understand data and generate predictive models that help us make better decisions. For a more thorough overview of data visualization, see “Data visualization and The Truthful Art.”