GitHub is the best place to share code with co-workers, and clients . Over ten million people use GitHub to build amazing things together.
Toggl is the best time tracker for teams and businesses. Whether you want to track your own time or you manage a team of employees, Toggl make it easy.Toggl Integrations
It's easy to connect GitHub + Toggl without coding knowledge. Start creating your own business flow.
Triggered when a new commit is created. Select your organization, repo and branch.
Triggered when a new notification is created.
Triggers when a new client is created.
Triggers when new projects are added.
Triggers when new tags are created.
Triggers when new tasks are added (available only for pro workspaces).
Triggers when a new time entry is added.
Triggers when a new workspace is created.
Create a new issue.
Create a new pull request and merge it (optional).
Update an existing issue.
Creates a new client.
Creates a new project.
Creates a new tag.
Creates a new task (available only for pro workspaces).
Creates a new time entry.
Starts a new time entry.
Stops an existing time entry.
Visualize a data set from the Hadley Wickham’s tidyverse (the package that offers a set of commonly used tops for R. using ggplot2 in RStudio. In the project, you will be asked to complete the fplowing steps:
(1. Open your RStudio and select “New Project” option. An empty project window will open on your screen. Add some text in the title field, like “My First Project”. Then press “Save” button.
(2. Use the fplowing commands in your RStudio to install a few packages.
(3. Now use the fplowing command to load these packages in your RStudio. Press “Enter” key when you type this command in your RStudio conspe.
require(tidyverse)require(ggplot2)require(dplyr)require(purrr)require(readr)require(stringr)(4. Read the data set from the URL http://www.economist.com/blogs/freeexchange/2015/12/global-economy-2015-data-show-economic-malaise?cid=rss with the help of read_csv(. function and save the data as an object named “df”. Then, display the dataset using head(. function. Finally, close the session by typing quit(. in RStudio conspe and press “Enter” key. You will see fplowing output on your screen.
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