2717 search results for "Ggplot2"

Part 1: Introduction

February 14, 2015
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Introducing shinyData (v0.1.1)

February 13, 2015
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Introducing shinyData (v0.1.1)

shinyData is an easy to use tool for interactive data analysis, visualization and presentation. It leverages the power of R and its vast collection of packages to allow users to efficiently perform common data tasks, such as slicing and dicing, aggregation, visualization and more (usually referred to as “business intelligence”). Almost no knowledge of R … Continue reading...

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The software behind this clickbait data visualization will blow your mind

February 13, 2015
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The software behind this clickbait data visualization will blow your mind

New media sites like Buzzfeed and Upworthy have mastered the art of "clickbait": headlines and content designed to drive as much traffic as possible to their sites. One technique is to use coy headlines like "If you take a puppy video break today, make sure this is the dog video you watch." (Gawker apparently spends longer writing a headline...

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Steps toward recreating The Facebook IPO plot

February 12, 2015
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Steps toward recreating The Facebook IPO plot

NYCDSA Bootcamp 1: February–April 2015, Day 3 As data scientists, we are quite familiar finding and mucking through data. We merge, split, clean, and analyze the data

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SweetheaRstats

February 12, 2015
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I felt compelled to dust off my 2013 Valentine’s Day #rstats post and make it all Shiny and new again. I used the same math from that post, but made the polygon a bit sharper and used ggplot2 for the plotting. To kick it up a bit, I decided to pay homage to a local

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Eight New Ideas From Data Visualization Experts

February 12, 2015
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Eight New Ideas From Data Visualization Experts

This post summarizes and visualizes eight key ideas we’ve heard from data visualization experts. Check out our first Case Study to learn more about using Plotly Enterprise on-premise, on your servers. To get started on free online graphing like in this post, check out our tutorials. Make Interactive Graphs Pictures of graphs in PowerPoints, dashboards, and emails can...

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MazamaSpatialUtils Package

February 11, 2015
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MazamaSpatialUtils Package

This entry is part 15 of 15 in the series Using RMazama Science has just released its first package on CRAN — MazamaSpatialUtils. Here is the description: A suite of conversion scripts to create internally standardized spatial polygons dataframes. Utility …   read more ...

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Code as Magic, and the Vernacular of Data Wrangling Verbs

February 11, 2015
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Code as Magic, and the Vernacular of Data Wrangling Verbs

It’s been some time now since I drafted most of my early unit contributions to the TM351 Data management and analysis course. Part of the point (for me) in drafting that material was to find out what sorts of thing we actually wanted to say and help identify the sorts of abstractions we wanted to

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Autocommit with ceODBC is slow

February 10, 2015
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Autocommit with ceODBC is slow

You already know that a SQL INSERT is faster with bulk loading than inserting a record at a time, but what about the effect of autocommit on performance? While this is probably not specific to ceODBC, using autocommit is astonishingly slow. Here is how slow. First, the Python code to run the benchmark:import ceODBCimport datetimeimport osimport timeconnection_string="driver=sql...

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Why you should start by learning data visualization and manipulation

February 10, 2015
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One of the biggest issues that comes up when I talk to people who want to get started learning data science is the following: I don’t know where to get started! Recently, I argued that R is the best programming language to learn when you’re getting started with data science. While this helps you select The post

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