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Advanced Analytics | Analytics | Artificial Intelligence | Data Visualization | Machine Learning

Carlos Pinheiro

Carlos PinheiroApril 20, 2021 0

Optimal tour of Brisbane based on a multi-modal transportation system

A few months ago, I published an article about network optimization and how to find an optimal tour when visiting multiple places of interest by using different types of transportation, like buses, trains, tram, metro, and even walking. For a real-world case, I decided to run these optimal tours in

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Data Visualization | Programming Tips

Robert AllisonApril 20, 2021 0

Do IKEA directions cause you stress?

Have you ever brought home a piece of furniture-in-a-box, and felt undue stress while trying to make sense of the directions to assemble it? ... Apparently you're not alone! A recent analysis studied ~50,000 tweets about IKEA furniture, and determined whether the people posting the tweets were frustrated. They then

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Data Visualization | Learn SAS

Rick WicklinApril 14, 2021 0

Overlay other graphs on a bar chart with PROC SGPLOT

It can be frustrating to receive an error message from statistical software. In the early days of the SAS statistical graphics (SG) procedures, an error message that I dreaded was ERROR: Attempting to overlay incompatible plot or chart types. This error message appears when you attempt to use PROC SGPLOT

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Data Visualization | Learn SAS

Rick WicklinApril 12, 2021 0

3 reasons to prefer a horizontal bar chart

Most introductory statistics courses introduce the bar chart as a way to visualize the frequency (counts) for a categorical variable. A vertical bar chart places the categories along the horizontal (X) axis and shows the counts (or percentages) on the vertical (Y) axis. The vertical bar chart is a precursor

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Data Visualization | Programming Tips

Robert AllisonApril 7, 2021 0

SAS graphs for R programmers - pie charts

This is another in my series of blog posts where I take a deep dive into converting R graphs into SAS graphs. Today we'll be working on pie charts. I know, I know ... you visualization 'purists' might be wagging your finger at me, and saying "pie charts are no good."

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Data Visualization | Learn SAS

Rick WicklinMarch 29, 2021 0

Identify influential observations in regression models

A previous article discusses how to interpret regression diagnostic plots that are produced by SAS regression procedures such as PROC REG. In that article, two of the plots indicate influential observations and outliers. Intuitively, an observation is influential if its presence changes the parameter estimates for the regression by "more

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Data Visualization | Programming Tips

Cindy WangMarch 25, 2021 0

Programmatically export a Visual Analytics report to PDF

Readers of my earlier post Discover Visual Analytics Report Paths with REST APIs asked for ways to export SAS Visual Analytics (VA) report content programmatically. I know this is a topic of interest from many VA report designers. So, I think it’s better to write something on this and I

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Data Visualization | Programming Tips

Rick WicklinMarch 22, 2021 0

Control the fill and outline colors of scatter plot markers in SAS

This article shows how to use PROC SGPLOT in SAS to create the scatter plot shown to the right. The scatter plot has the following features: The colors of markers are determined by the value of a third variable. The outline of each marker is the same color (such as

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Data Visualization | Programming Tips

Robert AllisonMarch 15, 2021 0

SAS graphs for R programmers - bar charts

This is another in my series of blog posts where I take a deep dive into converting customized R graphs into SAS graphs. Today we'll be working on bar charts ... And to give you a hint about what data I'll be using this time, here's a picture from a SAS

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Data Visualization | Programming Tips

Robert AllisonMarch 9, 2021 0

SAS graphs for R programmers - maps from shapefiles

This is another in my series of blog posts where I take a deep dive into converting customized R graphs into SAS graphs. Today we'll be working on shapefile maps ... And what data will we be using this time? Here's a hint - the picture below is the Aurora

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Analytics | Data Visualization | Learn SAS

Rick WicklinMarch 8, 2021 0

The conditional distribution of a response variable

I recently learned about a new feature in PROC QUANTREG that was added in SAS/STAT 15.1 (part of SAS 9.4M6). Recall that PROC QUANTREG enables you to perform quantile regression in SAS. (If you are not familiar with quantile regression, see an earlier article that describes quantile regression and provides

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Data Visualization | Learn SAS | Programming Tips

Rick WicklinMarch 1, 2021 0

Create a wind chill chart in SAS

I recently wrote about a simple statistical formula that approximates the wind chill temperature, which is the cumulative effect of air temperature and wind on the human body. The formula uses two independent variables (air temperature and wind speed) to predict the wind chill temperature. This article describes how to

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Data Visualization | Programming Tips

Robert AllisonFebruary 25, 2021 0

SAS graphs for R programmers - bubble maps

This is another in my series of blog posts where I take a deep dive into converting customized R graphs into SAS graphs. Today we'll be working on bubble maps - specifically, plotting earthquake data as bubbles on a map. R bubble map, created using geom_polygon() and geom_point() SAS bubble

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Data Visualization | Programming Tips

Robert AllisonFebruary 23, 2021 0

SAS graphs for R programmers - paneled graphs

This is another in my series of blogs where I take a deep dive into converting customized R graphs into SAS graphs. Today I show how to combine several graphs with shared axes, which we'll call paneled graphs. This time I'll be plotting the Job Openings Rate by Industry, similar

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Data Visualization | Learn SAS | Programming Tips

Rick WicklinFebruary 22, 2021 0

How to use the #BYVAR and #BYVAL keywords to customize graph titles in SAS

A previous article describes how to use the SGPANEL procedure to visualize subgroups of data. It focuses on using headers to display information about each graph. In the example, the data are time series for the price of several stocks, and the headers include information about whether the stock price

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Data Visualization | Learn SAS

Rick WicklinFebruary 17, 2021 0

Data-driven titles for graphs

Many characteristics of a graph are determined by the underlying data at run time. A familiar example is when you use colors to indicate different groups in the data. If the data have three groups, you see three colors. If the data have four groups, you see four colors. The

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Data Visualization | Programming Tips

Robert AllisonFebruary 15, 2021 0

SAS graphs for R programmers - diverging bars

This is another in my series of blogs where I take a deep dive into converting a customized R graph into a SAS graph. Today I'm focusing on a diverging bar chart (where one bar segment is above the zero line, and the other is below). What type of data

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Data Visualization | Programming Tips

Robert AllisonFebruary 9, 2021 0

SAS graphs for R programmers - U.S. choropleth map

This is another in my series of blogs where I take a deep dive into converting a customized R graph into a SAS ODS Graphics graph. Can you guess what data I'll be using this time? Here's a photo with a hint. This is Keeler, California (just west of Death

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Data Visualization

Debpriya Sarkar

Debpriya SarkarFebruary 8, 2021 0

UpSet Plot using GTL

An UpSet plot is used to visualize intersections of sets. In this post, we will illustrate techniques to create this plot using the Graph Template Language (GTL). We assume that you are familiar with GTL. From the point of view of construction, we leverage the LATTICE layout available in GTL

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Data Visualization | Programming Tips

Robert AllisonFebruary 5, 2021 0

SAS graphs for R programmers - needle plots

This is another in my series of blogs where I take a deep dive into converting a customized R graph into a SAS ODS Graphics graph. This time the example is a needle plot (that's essentially like a bar plot, with lots of tiny bars, plotted along a continuous xaxis).

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Analytics | Data Visualization

Frank SilvaFebruary 1, 2021 0

Should teams draft more offensive linemen?

I previously blogged about the impact drafting offensive linemen has on winning and making the playoffs. Since I wrote that, we have new data points to add to the analysis and an exciting finale to this NFL season. In this blog post, I’ll explore a few more arguments both in

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Sports & Entertainment

Data Visualization | Programming Tips

Robert AllisonJanuary 28, 2021 0

SAS graphs for R programmers - overlay lines

In the past, Sanjay showed how to create several basic graphs using both R and SAS ODS Graphics code. I'm going to take a bit of a "deeper dive" and focus a series of blog posts on highly customized graphs. Hopefully the code for these customizations will provide you with

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Data Visualization | Programming Tips

Robert AllisonJanuary 20, 2021 0

Mobile phone market share - stacked bar charts

I recently had a discussion with a friend, and we were wondering about Apple's market share. This led me to look into the actual data ... finding the online charts lacking, and then designing my own charts. Follow along if you're curious about the process of improving the charts, or

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Data Visualization | Programming Tips

netflix trip through The Office

Chris Hemedinger

Chris HemedingerJanuary 18, 2021 0

Visualizing our Netflix Trip through "The Office"

Over 57 billion minutes of The Office was streamed in 2020. My family bears some responsibility. Here's our activity visualized -- using SAS.

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Advanced Analytics | Analytics | Artificial Intelligence | Data Management | Data Visualization

Charlie ChaseJanuary 18, 2021 0

SAS and C.H. Robinson are rewriting the rules of transportation planning and management

What if you had a technology solution that creates a real-time link between the customer demand signal and what's happening on the ground? What if plans that are being steered centrally could finally be connected to every shipping lane, while simultaneously, creating cost saving carrier adjustments? The first-of-its kind integration

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Manufacturing | Retail

Data Visualization | Learn SAS

Rick WicklinJanuary 18, 2021 0

The DOLIST syntax: Specify a list of numerical values in SAS

Have you ever heard of the DOLIST syntax? You might know the syntax even if you are not familiar with the name. The DOLIST syntax is a way to specify a list of numerical values to an option in a SAS procedure. Applications include: Specify the end points for bins

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Analytics | Artificial Intelligence | Data for Good | Data Visualization

Frog peeking out from a pond

Lee Ellen Harmer

Lee Ellen HarmerJanuary 11, 2021 0

Top 8 ways SAS used data for good in 2020

From mental health to biodiversity, SAS is committed to using data for social innovation, committing our resources, analytics expertise and software to tackle global issues. It's a vital undertaking, and we can't do it alone -- strategic partnerships are key to these efforts. Here's a quick overview of our top

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Data Visualization | Programming Tips

Robert AllisonJanuary 8, 2021 0

List of 'big' movies you might not have seen yet

If you've been stuck at home a lot lately, and think you have run out of movies to watch -- think again! Here is a list of big-budget movies you might not have seen, because they flopped (lost lots of money). Follow along as I show you how I created

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Sports & Entertainment

Analytics | Data Visualization | Programming Tips

Rick WicklinJanuary 4, 2021 0

Top posts from The DO Loop in 2020

Last year, I wrote more than 100 posts for The DO Loop blog. In previous years, the most popular articles were about SAS programming tips, statistical analysis, and data visualization. But not in 2020. In 2020, when the world was ravaged by the coronavirus pandemic, the most-read articles were related

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Analytics | Data Visualization

Joon-Hyung KohDecember 27, 2020 0

[셀프서비스 분석 #1] 시티즌 데이터 사이언티스트의 조건

지금처럼 빠르게 변화하는 비즈니스 환경에서 지속적인 성장을 이루기 위해서는 경영진과 분석가, 현업 사용자 등 기업 구성원 모두가 필요한 인사이트를 제때 확보하고, 이를 기반으로 최상의 결정을 내리고, 필요한 조치를 취할 수 있어야 합니다. 누구나 쉽게 데이터를 들여다보고, 탐색하고, 이해하고, 분석할 수 있는 단일화되고 통합된 분석 환경이 필요한 이유입니다. 본 기고문에서는 시티즌

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