Promote a Blog | Blog Directory | Content Marketing | Analytics | Blog | FAQ |

Explore » Blog Directory of Selected Blogs
Connect » Authentic Blogger Community
Discover » Featured Blogs and Topics

Recent blog posts on data

Blog Directory Feed
  

unused arguments error in Dplyr Select

content discovered on Friday, November 10, 2017

Problem:Getting "unused argument" error while using Select()Function from Dplyr.Solution:I have used the select () function from Dplyr before and it worked perfectly. But today suddenly I got "unused argument" error like below. I checked the arguments for the select() and it seemed correct. Then I had a doubt if there is a "Select()" function in any other libraries that I have installed recently. And Yes! "MASS" library has a Select() Function and can be checked with the below commandls("package:MASS")S... read more »

First Plot in R using plot()

content discovered on Wednesday, November 08, 2017

Problem:Create an Exploratory Plot in RSolution:Data Visualization is communicating the data in a graphical format. We can create our first plot in R using the plot() function.If you have any questions on how to get some sample dataset to play around, you can check in one of my previous posthere.For this Example, we can use the MASS library and create an Exploratory plot from thedata frame "whiteside". If wecheck the structure of this Dataframe using str() function, we will see that ithas 56 observations... read more »

My Assignment on Data Manipulation in R

content discovered on Monday, October 16, 2017

Let us take a sample dataset and clean the data with the concepts that we learned in Dplyr and Tidyr package. Problem:Use Dplyr and Tidyr package to clean the NYC 2013 Flights dataset.Solution:For this assignment, we can use the data setsrelated to flights that departed from NYC in 2013. FlightsBelow is the code that I have used to clean the dataset: Below is the output dataset: Clean_Flights read more »

Tidyr:: Separate() in R

content discovered on Monday, October 16, 2017

Tidyrpackage is used to createtidydata.Tidy data is a standard way of storing data that is used toensure that we spend less timefighting with the tools and more time working on the analysis. The different functions of Tidyr package are describedhere.Problem: Use ofTidyrSeparate()in R Solution: Separate() is used to split a single variable into two or more variables. In some scenarios, a single column captures multiple variables and we may need to separate the values into 2 or more variables or we may ... read more »

Dplyr:: Summarise in R

content discovered on Friday, October 13, 2017

Dplyr() is the data manipulation package in R and is described in detailhere.Problem:Use of Dplyr Summarise() in RSolution:Summarise() reduces multiple values down to a single summary.Example:For this example, we can use the data setsrelated to flights that departed from NYC in 2013.We have installed the dataset in our previous post and you can get the codehere. Flights Summary Functions in R min(), max() Minimum and Maximum Values mean() Mean Value median() Median Value sum() Sum... read more »

Dplyr:: Select() in R

content discovered on Friday, October 13, 2017

Dplyr() is the data manipulation package in R and is described in detail here. Problem:Use of Dplyr Select() in RSolution:Select() allows picking only the required columns from a huge dataset with thousands of variables based on the names of the variables. Example:For this example, we can use the data setsrelated to flights that departed from NYC in 2013.We have installed the dataset in our previous post and you can get the code here. Flights Select() function does the following: 1. Select certain c... read more »

tidyr in R

content discovered on Monday, October 09, 2017

tidyr package is used in R to "tidy" the data. Tidy data is the clean data that’s easy to work with since if the data is tidy, we can conclude: Each variable is in a column. Each observation is a row. Each value is a cell. Steps to make the messy data tidy: Identify the variables in the dataset Use the tools provided by tidyr to move them into columns. tidyr provides three main functions for tidying the messy data: Functions Descriptions gather() Takes multiple columns, and gathers them i... read more »

Doare prima data?

content discovered on Monday, July 31, 2017

Doua prietene virgine isi povesteau tot ce faceau . Una dintre ele pleaca intr-o excursie si se intoarce ne-mai-virgina. Cealalta o intreaba: Cum e? Povesteste-mi!  Prima data este oribil, doare de nu-ti imaginezi; dar apoi e nemaipomenit! Prietena sa, intrigata, intreaba: Cam cum doare? Ca durerea de cap, de stomac?  Nuuuu!  [] Post-ul Doare prima data? apare prima dată în DeRetinut.net. read more »

[Infographic] Big Data in Practice

content discovered on Monday, March 13, 2017

Many multinational enterprises are adopting, or have adopted, big data in practice in the pursuit of more targeted, structured knowledge from extremely large data sets. It’s a concept that small... [[ This is a content summary only. Visit my website for full links, other content, and more! ]] read more »

How to set up a Time and Attendance Solution wi...

content discovered on Friday, July 15, 2016

With PayPunch Time and Attendance Solution, you can easily manage your employees attendance using a biometric device even if you do not connect your device to your network. If you do not already have PayPunch installed on your computer, you can download it here. Install PayPunch. In the Components, make sure you select the Universal Biometric [] read more »

« Previous12345678910Next »



COPYRIGHT NOTICE: BlogUpp does not claim ownership of any content distributed via this blog directory and its content marketing channels.
The authors of the blogs featured above are assumed to be the content owners. BlogUpp is a blog promotion and content marketing service. Learn more

Terms of Service | Privacy Policy | Copyright © 2017, BlogUpp (aka BlogUp)