The dplyr is an important R-package to transform and summarize tabular data in R.It is can be used to perform major common data manipulation functions such as selection of specific columns, filtering and rearranging rows, adding new columns and grouping rows and columns.Getting Started with dplyrLet’s start by loading the dplyr package into Rstudiolibrary(dplyr)## ## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':## ## filter, lag## The following objects are masked from 'package:base':## ## intersect, setdiff, setequal, unionFor this tutorial, we will be using the College Scorecard project dataset.
Nigeria is rated among the top 10 Countries with the highest fertility rates in the world. Based on the data obtained from the World Population review, the vast majority of the countries in the world with the highest fertility rates are in Africa with Niger topping the list at 7.153 Children per woman and Nigeria sitting at the 9th position with 5.417 Children per woman. The fertility rate is the average number of children a woman gives birth to in her Childbearing years, with Nigeria having a fertility rate of approximately 5 children per woman.
Many people have started showing interest in Data science and analytics, it is expected that the number of professional data scientist will increase in the next couple of years. Factual Analytics has compiled a list of 3 resources to help improve your data analytic skills. Kaggle Kaggle is unarguably the home of data science. It is the world’s largest community of data scientists and machine learning experts. Kaggle has thousands of public datasets for training and learning purpose.
Research in Machine Learning and in Natural Language Processing (NLP) is moving so fast these days, it is hard to keep up. This is an issue for people in the field, but it is an even bigger obstacle for people wanting to get into NLP and those seeking to make the leap from tutorials to reproducing papers and conducting their own research. Without expert guidance and prior knowledge, it can be a painstaking process to identify the most common datasets and the current state-of-the-art for your task of interest.
Hal Varian, Google’s chief economist shared the following when interviewed by The McKinsey Quarterly: “I keep saying the sexy job in the next ten years will be statisticians. People think I’m joking, but who would’ve guessed that computer engineers would’ve been the sexy job of the 1990s? The ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that’s going to be a hugely important skill in the next decades, not only at the professional level but even at the educational level for elementary school kids, for high school kids, for college kids.
Many Nigerian businesses are now making use of data analysis to improve their profit, they have realized that for them to be able to strategically reach and maximize their target market , they need to keep record of their business data and make the necessary decision based on the analysis of the data.The Nigerian market place is ever changing, as a business owner you have to take advantage of your sales data to improve your profit.