Here we will discuss about how do we write a program to find out which person voted for each radish preference using string operations For that we have a text file which we need to save in our computer and give path to python. You can download the input file from http://opentechschool.github.io/python-data-intro/files/radishsurvey.tx After that run this …
Facebook is very famous, commonly used Social Media today. We can get huge data from here and do Text Mining and Sentiment Analysis. I also have thought of doing this. 🙂To create connection between Rstudio and Facebook, user should have :-1. facebook account2. registered with Facebook API (click on “register now” option on Facebook Developer)3. RFacebook …
Facebook Data Analysis using Rstudio – How to connect Facebook & R Read More »
Imagine one situation, we have bunch of datasets (probably 100 or more than that) now we have to load them in R for our analysis purpose. How will you Load all csv files in one go? So what should be our approach? Will we invest an hour to load one by one, 100 times with …
This post states the steps to connect R with SQL Server, so that we can directly access tables and can do analysis on data stored in SQL Server. System Related Settings1. Go to Control panel of your system. 2. Click on Administrative tools 3. Select User dsn -> click on “add” -> “Sql server” 4. …
Missing value or junk value imputation with mean/median/mode is the very basic part of data cleaning , as these processes will give the accuracy up to a certain level. Also if mean/median/mode are applicable when our data is in some traditional format, but in most of the practical scenario it is not. If our data …
Every programming language should have the facility of file handling. At least basic open, close, read, and write file records. To access the file we have two options in python. One obviously to give the whole path in every file operations and another and the best one should be set your path of the files …
Those who are very much comfortable with R and try to learn python, first question come to their mind is which IDE is the best for python. As in R, R-studio is one and only giant in the market and which gives every possible option to explore (exceptfewdrawbacks), we want one best IDE which can …
What it is? I came across this technique while working with Text. I was trying to analyse Twitter’s tweets and Facebook’s posts from page after Reliance Jio Launch. Analysis invloves: After this I was thinking to do something else, while searching on net I found this new topic “Topic Modelling” and “LDA”. Started reading this, and …
While working on Machine Learning/Predictive Modelling problems, feature selection is an important step. It is because, we get a dataset with too many variables in practical model building problems in which all variables are not relevant to the problem, and this we don’t know in advance. Also, there are some disadvantages of using all given …
