NATIONAL CANCER INSTITUTE - CANCER.GOV

Search Results for: Graphs

Total Results Found: 45

Total Results Found: 45

Introduction to R: Part 2 – Data Visualization

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Bioinformatics

09/06/2024 - This course provides an introduction to data visualization using R. Participants will learn data visualization with base R and using the R package ggplot2 to explore various types of data visualizations, including scatter plots, Read More...

Data Visualization in ggplot

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Bioinformatics

02/06/2024 - This class provides a basic overview of creating plots using ggplot. ggplot is a part of the Tidyverse, a  collection of R packages  designed for data science. This class will focus on identifying the Read More...

Data Wrangling with R: Why ggplot2?

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Bioinformatics

Outside of base R plotting, one of the most popular packages used to generate graphics in R is ggplot2 , which is associated with a family of packages collectively known as the tidyverse. GGplot2 allows the Read More...

Data Visualization with R: The stat argument

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Bioinformatics

Until this point we have been plotting raw data with geom_point() , but now we will be introducing geoms that transform and plot new values from your data. Many graphs, like scatterplots, plot the raw Read More...

Introduction to Data Visualization in R: ggplot

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Bioinformatics

03/14/2023 - This class provides a basic overview of creating plots using ggplot. ggplot is a part of the Tidyverse, a  collection of R packages  designed for data science. This class will focus on identifying the Read More...

NIH ORS Medical Arts Branch (MAB)
Bethesda, MD

Trans NIH Facility

MAB provides visual communication solutions across all media to the entire NIH community. Our Medical Illustration section provides a complete range of biomedical visualization services, including manuscript/textbook figures, infographics, 3D modeling, animation, technical diagrams, Read More...

Data Visualization in ggplot

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Bioinformatics

05/28/2024 - This class provides a basic overview of creating plots using ggplot. ggplot is a part of the Tidyverse, a  collection of R packages  designed for data science. This class will Read More...

Data Visualization with R: The stat argument

Web Page

Bioinformatics

Until this point we have been plotting raw data with geom_point() , but now we will be introducing geoms that transform and plot new values from your data. Many graphs, like scatterplots, plot the raw Read More...

Data Visualization with R: Why ggplot2?

Web Page

Bioinformatics

Outside of base R plotting, one of the most popular packages used to generate graphics in R is ggplot2 , which is associated with a family of packages collectively known as the tidyverse. GGplot2 allows the Read More...

R Introductory Series 2023: Introducing ggplot2

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Bioinformatics

ggplot2 is a R graphics package from the tidyverse collection. It allows the user to create informative plots quickly by using a 'grammar of graphics' implementation, which is described as "a coherent system for Read More...

Geospatial Tools

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Bioinformatics

10/20/2022 - An overview of the geospatial tools that are useful for characterizing areas of the country in terms of cancer incidence, mortality, screening frequency, risk factors, socio-demographic and environmental variables relevant to cancer. The presentation Read More...

R Introductory Series 2022

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Bioinformatics

02/01/2022 - This course will include a series of  4 lessons for scientists new to R or with limited R experience. The purpose of this course is to introduce the foundational skills necessary to begin to analyze Read More...

BTEP Lessons: Why ggplot2?

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Bioinformatics

Widespread popularity. Used to create informative plots quickly. Used to create high resolution plots. Used to customize many package specific plots. Over 100 related extensions Outside of base R plotting, one of the most popular packages Read More...

BTEP Lessons: Why ggplot2?

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Bioinformatics

Widespread popularity. Used to create informative plots quickly. Used to create high resolution plots. Used to customize many package specific plots. Over 100 related extensions ::: {.notes} Outside of base R plotting, one of the most popular Read More...

Data Visualization in ggplot: Customizations

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Bioinformatics

07/25/2024 - This hour and half in-person training will explore the topics of perception and cognition, and how these apply to data visualization. There will also be a discussion on “pre-attentive” properties Read More...

Data Visualization in ggplot

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Bioinformatics

07/24/2024 - This hour and half in-person training will explore the topics of perception and cognition, and how these apply to data visualization. There will also be a discussion on “pre-attentive” properties Read More...

R Introductory Series: Introducing ggplot2

Web Page

Bioinformatics

ggplot2 is an R graphics package from the tidyverse collection. It allows the user to create informative plots quickly by using a 'grammar of graphics' implementation, which is described as "a coherent system for Read More...

Data Visualization, Exploration and Analysis

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Bioinformatics

02/08/2016 - BTEP Workshop on Data Visualization, Exploration and Analysis NOTE: This is a Bring Your Own Computer (BYOC) class, and will be simultaneously shared via GoToMeeting with attendees at the Advanced Technology Research Facility (ATRF) Read More...

BTEP Video Archive of Past Classes

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Bioinformatics

Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...

Data Visualization with R: Lesson 4

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Bioinformatics

/* Whole document: */ body{ font-family: Times; font-size: 16pt; } Stat Transformations: Bar plots, box plots, and histograms Objectives Review the grammar of graphics template Learn about the statistical transformations inherent to geoms Review data types Create bar Read More...

R Introductory Series 2023: ggplot2 Continued

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Bioinformatics

Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review Read More...