Introducing Datazar Paper
We’re finally here. Datazar Paper is the most exciting tool we’ve created to date. Up until now, I’d like to believe we’ve only made par with the status quo in...continue reading.
Category: R Language
Extracting PDF Text with R and Creating Tidy Data
In the digital age of today, data comes in many forms. Many of the more common file types like CSV, XLSX, and plain text (TXT) are easy to access and...continue reading.
How to Access Datasets in R
Have you spent hours, pulling your hair out trying to figure out how to access datasets in R? Once imported to a variable, columns from a dataset (eg: CSV) can...continue reading.
How to Install and Include an R Package
We get a lot of questions about the usage of R libraries. The most common question is “can I use all the R libraries in your notebooks/consoles?”Yes! You can use...continue reading.
How to Import a CSV to an R Notebook
Adding a file to your R notebook is a simple 2 step process.1. “Import” file to notebook session.This makes sure your dataset is isolated in one state so that it doesn’t change...continue reading.
How to Create Notebooks on Datazar
Getting started with notebooks is as easy as clicking a button on Datazar. Notebooks are great tools that make — creating and sharing reproducible analysis — super easy. To create R or Python notebooks,...continue reading.
Marketing Multi-Channel Attribution model based on Sales Funnel with R
We will review another fascinating approach that marries heuristic and probabilistic methods. We will link marketing channels with a probability of a customer passing through each step of a Sales...continue reading.
Marketing Multi-Channel Attribution model based on Sales Funnel with R
We will review another fascinating approach that marries heuristic and probabilistic methods. We will link marketing channels with a probability of a customer passing through each step of a Sales...continue reading.
Marketing Multi-Channel Attribution model with R (part 2: practical issues)
Even though the concept of the first-order Markov chains is pretty simple, you can face other issues and challenges when implementing the approach in practice. We will review some of them This is...continue reading.
Marketing Multi-Channel Attribution model with R (part 2: practical issues)
Even though the concept of the first-order Markov chains is pretty simple, you can face other issues and challenges when implementing the approach in practice. We will review some of them This is...continue reading.
Twitter sentiment analysis with Machine Learning in R using doc2vec approach (part 1)
We will use Document-Term Matrix that is the result of Vocabulary-based vectorization for training the model for Twitter sentiment analysisRecently I’ve worked with word2vec and doc2vec algorithms that I found interesting...continue reading.
Twitter sentiment analysis with Machine Learning in R using doc2vec approach (part 1)
We will use Document-Term Matrix that is the result of Vocabulary-based vectorization for training the model for Twitter sentiment analysisRecently I’ve worked with word2vec and doc2vec algorithms that I found interesting...continue reading.
Marketing Multi-Channel Attribution model with R (part 1: Markov chains concept)
Using Markov chains allow us to switch from Google Analytics heuristic models to probabilistic ones. By computing the model and estimating transition probabilities we can attribute every channel/touchpoint As we...continue reading.
Marketing Multi-Channel Attribution model with R (part 1: Markov chains concept)
Using Markov chains allow us to switch from Google Analytics heuristic models to probabilistic ones. By computing the model and estimating transition probabilities we can attribute every channel/touchpoint As we...continue reading.
Cohort analysis: Retention Rate Visualization with R
When conducting Cohort Analysis, one of the most important measures is Customer Retention Rate. I will share a few ideas for visualizing this parameter When conducting Cohort Analysis, one of...continue reading.
Measuring business health with Delta LifeCycle Grids and R
We will study how to use LifeCycle Grids concept for measuring a health of the business via Delta Analysis technicThere are several posts connected with LifeCycle Grids on this blog. If you...continue reading.
Sales Funnel visualization with R
Sales (purchasing or conversion) Funnel is a consumer-focused marketing model which illustrates the theoretical customer journey towards the purchase of a product or service. We will study a very simple example...continue reading.
Cohort Analysis with Heatmap
We will study a Heatmap visualization that not only can be used for descriptive analysis as well but would be more helpful for analyzing a large number of cohorts. For...continue reading.
Cohort Analysis and LifeCycle Grids mixed segmentation with R
We will combine Cohort Analysis and LifeCycle Grids approach for obtaining more detailed analysis This is the third post about LifeCycle Grids. You can find the first post about the...continue reading.
Customer segmentation – LifeCycle Grids, CLV and CAC with R
We will study how we can analyze and visualize other valuable metrics like customer acquisition cost and customer lifetime value using LifeCycle Grids approachWe studied a very powerful approach for...continue reading.
