R series – 7: Data wrangling – dplyr – select() – basics

Overview:1. Installing dplyr package - install.packages('dplyr')2. Main dplyr verbs - select, filter, mutate, group_by, summarise, and. arrange.3. Using select function - df %>% select() A researcher's life is easier when they can swiftly wrangle the data. Usually, a researcher checks the data for the presence of outliers, normality, and missing entries. To deal with the … Continue reading R series – 7: Data wrangling – dplyr – select() – basics

R series – 6: Setting working directory and reading data

Overview:1. Setting working directory - setwd()2. Reading CSV files - read.csv()3. Reading MS Excel files - read_excel() In the previous posts, we learned about data types and data structures. Further, I showed how to create data using the seq() function and sample() function. In this post, I shall demonstrate how to read data from the folders across your … Continue reading R series – 6: Setting working directory and reading data

R series – 5: Subsetting and modifying data

Overview:1. Introduction to subsetting - use square brackets [] to subset data in R2. Subsetting vector, matrix, data frame, and list. 3. Modifying data is easier when you know how to subset data. In the previous post, I showed how to create a vector, matrix, data frame, and list. . In this post, I wish … Continue reading R series – 5: Subsetting and modifying data

R series – 4: Data structures

Overview: 1. Vector - a simple data structure containing same data types.2. Matrix - a two dimensional data structure containing same data types.3. Data frame - a two dimensional data structure containing multiple data types.4. Array - a multi dimensional data structure that can store only same data type.5. List - an object that can … Continue reading R series – 4: Data structures

R series – 3: Data types

Overview:1. Integer - whole number.2. Numeric - numbers with or without decimal values.3. Logical - TRUE or FALSE.4. Complex - contains imaginary values.5. Character - letters, symbols, and number - to be wrapped within single or double inverted commas. In the last blog post, I introduced how to create a variable. As you know, a … Continue reading R series – 3: Data types

R series – 2: Variables

Overview:1. What are variables? 2. How to name variables?3. Creating variables in R. What are variables? A variable is an object that stores a piece of information. Once a variable is created, we can use it for programming or data analysis purposes. A variable can be given any name. However, there are some limitations. How … Continue reading R series – 2: Variables

தூரமெல்லாம் தூரமில்லை

பிரிவெல்லாம் பிணைக்கும் போது தூரமெல்லாம் நெருங்கும் போது கனவெல்லாம் நினைவாகும் போது தூரிகையெல்லாம் உனை வரையும் போது கவிதையெல்லாம் நீயாகும் போது நாளெல்லாம் உன் மணம் வீசும் போது இருளெல்லாம் உன் விழி ஆகும் போது காற்றெல்லாம் உன் நினைவை மீட்டும் போது நடை எல்லாம் உன் வாசல் வரும் போது குரலெல்லாம் உன் வார்த்தைகள் பேசும் போது செவியெல்லாம் நம் மகன் பேச்சில் நிறையும் போது என் உள்ளமெல்லாம் நீயாகும் போது என்னவளே தூரமெல்லாம் தூரமில்லை! துயில் கொள்ளடி … Continue reading தூரமெல்லாம் தூரமில்லை

Packaging: A view through consumer eyes

Supermarkets are inundated with numerous products, brands fight for the shelf space to attract consumers. Brands differentiate their products using colourful and creatively designed packages. By doing this, the brands fight each other silently to win over the consumer who walk across the aisle. However, there is no sales person standing nearby to explain the … Continue reading Packaging: A view through consumer eyes

Culture – Bonding and Branding

It is Christmas time! Christmas party and songs are alluring me. Bangor University is celebrating Christmas in many ways: the main reception of the university welcomes everyone with a huge "International Christmas Tree" decorated with plastic litter collected from the beach, YoYo application of Bangor Eat - Drink unit has announced multiple offers, and different … Continue reading Culture – Bonding and Branding