Unified analytics engine for large-scale data processing (mostly in-memory).
omri374
/ sparklyr_example.R
Created
June 3, 2018 07:16
An example of a data pipeline using Sparklyr, mostly based on this blog post: https://beta.rstudioconnect.com/content/1518/notebook-classification.html
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # Databricks notebook source | |
| # install sparklyr (we need this every time we start our cluster as it has to install packages on all workers) | |
| install.packages("sparklyr") | |
| #titanic data | |
| install.packages('titanic') | |
| library(titanic) | |
| # Load sparklyr package. | |
| library(sparklyr) |
danielmcclure
/ facebook-wca-standard-events.html
Last active
January 14, 2024 14:54
Sample Facebook Standard Events for New Facebook WCA (Website Custom Audience) Pixel
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| <!-- Facebook Custom Audience Pixel Code - Placed on Every Page of Site --> | |
| <script> | |
| !function(f,b,e,v,n,t,s){if(f.fbq)return;n=f.fbq=function(){n.callMethod? | |
| n.callMethod.apply(n,arguments):n.queue.push(arguments)};if(!f._fbq)f._fbq=n; | |
| n.push=n;n.loaded=!0;n.version='2.0';n.queue=[];t=b.createElement(e);t.async=!0; | |
| t.src=v;s=b.getElementsByTagName(e)[0];s.parentNode.insertBefore(t,s)}(window, | |
| document,'script','//connect.facebook.net/en_US/fbevents.js'); | |
| fbq('init', '{{facebook pixel}}'); | |
| fbq('track', 'PageView'); | |
| </script> |