In this post, we take a look at how to use Dygraphs Package in R. This package is specific to time series and the management of the data in that type. I noticed that there is one such package that is specific to the Javascript library too.
Previously I completed the RGL Package in R language. This is a good package for the 3D visualization. So that completed, I am today covering the time series data based package. This would be of a good option for you for handling time series based dataset and it's visualization.
We are using the RStudio IDE for this package. You can use it for the time series data and also you can use this IDE for plotting various types of the plots. Some of the time it can get difficult to use the text editor so switching to the RStudio IDE would be a good option for coding in R.
I have created a video to give you an overview on how to use the Dygraphs Package for the data science work. You should give this one a try.
Let's first start by calling in the package called - 'dygraphs'. And once you start working on this package and also going to give you simple code for trying out the time series example.
So first step is installing the package.
install.packages("dygraphs")
and now we will call the package.
install.packages("dygraphs")
library(dygraphs)
It should look something like that in the RStudio.
Now let's take a look at the data where we can use for plotting the time series data.
Here we are going to be using the nhtemp data.
Now you can check out the below code:
dygraph(nhtemp, main = "New Haven Temperatures") %>%
dyRangeSelector()
You would get the output data in the IDE like this.
This is just the sample dataset. And in real life however the time series dataset is lot different. And here you can see that in order to make the output more regular you would be needing to get the dataset which has more data points and the larger sample data.
So if you are dealing with the time series in the data which in the big data league. You would be handling that high then plotting would require different library. Like say that you are using something like the snowflake or say Bigquery then in R there are some of other packages that you can try out.
This wraps up one of my tutorial. Some of the tutorials in the R are beginning towards the end. I would covering few more like ggplot, plotly and then I'd be moving towards the python. Some things I will be covering is the R language based plot that you can see there.
I have to cover some of the database tutorials too. Like SQL Server and also the power BI which would be displayed here in the tutorial format. I kind of covered this in the year worth of work but let's hope to cover some more in near future.
I hope that you are enjoying some of my R language and data science tutorials. I hope that some of my coverage on this topic would be helpful to you.
If you happen to like this content, do give me feedback over there and that would help me improve my efforts in near future.
