Using the causalimpact package in R to estimate the counterfactual event and thereby, quantify the impact of an event.
All tagged r programming
Tidyquery: Query DataFrames With SQL Syntax Inside R Programming
Tidyquery: Query DataFrames With SQL Syntax Inside R Programming with an example containing dplyr mutate.
Data Transformation: Preparing E-comm Product Data For Univariate Time Series Forecast In R
Use data transformation techniques on a sample e-commerce product level dataset to prepare for time series forecasts
Exploratory Data Analysis: DataExplorer R package for quick EDA
Blog post looks at using the DataExplorer R package for quick exploratory data analysis [EDA] in R Studio
E-commerce Product Recommendations: Apriori algorithm - Market Basket Analysis Interactive Lift Visualization & More Via R + Shiny
Apriori algorithm: Market Basket Analysis Lift visualization in R programming + interactive chart via Plotly + Shiny
E-commerce Product Recommendations: Apriori algorithm - Market Basket Analysis Lift Visualization via R + Plotly
Apriori algorithm: Market Basket Analysis Lift visualization in R programming + interactive chart via Plotly
Under The Hood: nstart = x value Within K Means Clustering In R Programming
Blog post looks at ‘nstart’ value in the k means function within R and how it determines the number of attempts at optimization.
Under The Hood: Scale Function Calculation In R Programming- Data Standardization As Part Of Distance Matrix Calculations In K Means Clustering
Blog post uses an example of scale() function to explain how it functions and why it’s an important step before calculating distance matrix calculations in R programming - for K means clustering
Create Animated Time Series Chart With gganimate + Google Analytics data in R Programming
Blog post looks at creating a basic gganimate gif in ggplot / R programming using Google Analytics data
R Programming: Combine Boxplot and Scatterplot Into Single Visualization
This blog post looks at combine boxplots and scatterplot (via geom_jitter) into a single visualization within Ggplot / R Studio
R / Ggplot Geom_histogram - How to make histogram bins start at zero
Use boundary and centre parameters in geom_histogram to make histogram bins start at zero.
How To Switch To Linear Regression In a Ggplot Geom_Smooth - R Programming
Blog post on how to switch from a LOESS trend curve in a Geom_smooth to a Linear equation within R programming.
How To Conditionally Group Google Analytics Channel Data In R Programming
R script that uses as base R to run IF / ELSE check on a column (channel) and then assign a value in a new column.
Analyze Bounce Rate, Page Load Time By Devices In R Studio
Blog post looks at pulling data and then applying several ggplot2 geoms to graphically show the relationship between bounce rate, page load time and device category
How To Create a Sankey Diagram With Google Analytics Data In R Studio
Create a basic behaviour flow chart using Sankey diagram with Google Analytics Channel and landing page data.
How To Calculate Month-On-Month Change In Website Traffic In R Studio
Code uses ggplot to visualize change + mutate function to create a calculated field [% change in sessions]
Exploratory Data Analysis Of Google Analytics Data In R Studio
Blog post covers exploratory data analysis function in R studio to provide summary metrics on Google Analytics data.
![How To Connect Multiple Google Analytics Accounts To R Studio [googleanalyticsR package]](https://images.squarespace-cdn.com/content/v1/5640e86be4b031347f7c7b81/1528139049011-9H2UPN784Y4FBP12R44T/authentication+token+google+analytics+multiple+accounts+in+R+Studio.JPG)
How To Connect Multiple Google Analytics Accounts To R Studio [googleanalyticsR package]
Learn how to connect multiple Google Analytics accounts to R Studio for the googleanalyticsR package. Uses a variation of ga_auth() command to save tokens that can be called back later.