Data Science

Using Google BigQuery Data in Your Data Studio Reports

May 15, 2017

using-bq-in-data-studio-reports

Among its many benefits, Google Data Studio easily connects with Google BigQuery, giving you the ability build custom, shareable reports with your BigQuery data. Google Analytics 360 users that have set up the automatic BigQuery export will rejoice, but this benefit is not just limited to GA360 customers. Anyone with any data set in BigQuery […]

Case Study: Audience Modeling with Google Analytics 360 and Google Cloud Platform

March 1, 2017

Google recently published a case study with LunaMetrics and PBS where we used Google Analytics 360, BigQuery, and Google Cloud Datalab to perform a clustering analysis on website audiences. The case study is worth checking out, but here’s a quick summary. PBS.org is a digital content hub with supporting information and streaming video for PBS […]

Subset Your Google Analytics Data with R

August 17, 2016

R is a relatively easy language to use when performing statistical and graphical analyses on data. However, after choosing your dataset, you may still need to subset it. Luckily, R’s built-in functionality can be especially helpful in getting the sections of data you need. Since Becky gave us a great introduction to querying Google Analytics […]

Google Apps Script: An Unsung Hero

August 10, 2016

Google Apps Script is a service provided by Google that allows small bits of JavaScript that can interact with other Google Services and other services that provide a web-based API. The Apps Script can be triggered based on web requests, Google Forms, Google Sheets, Google Docs, or, most interestingly, a timer. The time-based triggers are […]

Highlights from ICML 2016

July 5, 2016

I just got back from the International Conference on Machine Learning (ICML) in New York City. For five days, machine learning researchers and practitioners presented and discussed the latest trends and cutting edge algorithms in the field. I was really excited to use my yearly professional development opportunity to attend this conference. At LunaMetrics, we […]

Marketing Channel Attribution with Markov Models in R

June 30, 2016

Data empowers us to better understand our users and their behaviors, while methods provide us with the means for analysis. These methods, ranging anywhere from simplistic (i.e. frequency) to complex (i.e. clustering), allow us to choose what we want to understand from the data. A popular way to understand our users and their behaviors in […]

Page 1 of 3123
Contact Us.

LunaMetrics

24 S. 18th Street, Suite 100,
Pittsburgh, PA 15203

Follow Us

1.877.220.LUNA

1.412.381.5500

getinfo@lunametrics.com

Questions?
We'll get back to you
in ONE business day.