Tag: importing data

RStudio Cheat Sheets

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“These cheat sheets below make it easy to learn about and use some of our favorite packages.” Data Import Cheat Sheet: “reminds you how to read in flat files…,work with the results as tibbles, and reshape messy data with tidyr. Use tidyr to reshape your tables into tidy data, the data format that works the most seamlessly with R and the tidyverse.” Data Transformation Cheat Sheet: “dplyr provides a grammar … Continue Reading

NumPy Cheat Sheet – Python for Data Science

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“It’s common when first learning NumPy to have trouble remembering all the functions and methods that you need, and while at Dataquest we advocate getting used to consulting the NumPy documentation, sometimes it’s nice to have a handy reference, so we’ve put together this cheat sheet to help you out.” This cheat sheet covers the following topics: Key and Imports Importing/Exporting Creating Arrays Inspecting Properties Copying/sorting/reshaping Adding/removing Elements Combining/splitting Indexing/slicing/subsetting Scalar Math … Continue Reading

Pandas Cheat Sheet – Python for Data Science

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“It’s common when first learning pandas to have trouble remembering all the functions and methods that you need, and while we at Dataquest advocate getting used to consulting the pandas documentation, sometimes it’s nice to have a handy reference, so we’ve put together this cheat sheet to help you out!” This cheat sheet covers the following topics: Key and Imports Importing Data Exporting Data Create Test Objects Veiwing/Inspecting Data Selection … Continue Reading

LeaRning Path on R – Step by Step Guide to Learn Data Science on R

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One of the common problems people face in learning R is lack of a structured path. They don’t know, from where to start, how to proceed, which track to choose? Though, there is an overload of good free resources available on the Internet, this could be overwhelming as well as confusing at the same time. To create this R learning path, Analytics Vidhya and DataCamp sat together and selected a comprehensive set of … Continue Reading

DataCamp – Importing and Cleaning Data in R: Case Studies

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From DataCamp: “Running exciting analyses on interesting datasets is the dream of every scientist. But first, some importing and cleaning must be done. In this series of four case studies, you’ll revisit key concepts from our courses on importing and cleaning data in R.” This course consists of four chapters (case studies): Ticket Sales Data MBTA Ridership Data World Food Facts School Attendance Data

DataCamp – Importing and Managing Financial Data in R

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From DataCamp: “If you’ve ever done anything with financial or economic time series, you know the data come in various shapes, sizes, and periodicities. Getting the data into R can be stressful and time-consuming, especially when you need to merge data from several different sources into one data set. This course will cover importing data from local files as well as from internet sources.” This course consists of five chapters: Introduction … Continue Reading

DataCamp – Importing Data in Python (Part 2)

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Part 1 of this course can be found here: Importing Data in Python Part 1 From DataCamp: “As a Data Scientist, on a daily basis you will need to clean data, wrangle and munge it, visualize it, build predictive models and interpret these models. Before doing any of these, however, you will need to know how to get data into Python. In the prequel to this course, you have already learnt many … Continue Reading

DataCamp – Importing Data in Python (Part 1)

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From DataCamp: “As a Data Scientists, on a daily basis you will need to clean data, wrangle and munge it, visualize it, build predictive models and interpret these models. Before doing any of these, however, you will need to know how to get data into Python. In this course, you’ll learn the many ways to import data into Python: (i) from flat files such as .txts and .csvs; (ii) from files … Continue Reading

DataCamp – Importing Data in R (Part 2)

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Part 1 available here. From DataCamp: “In this second part to Importing Data in R, you will take a deeper dive into the wide range of data formats out there. More specifically, you’ll learn how to import data from relational databases and how to import and work with data coming from the web. Finally, you’ll get hands-on experience with importing data from statistical software packages such SAS, STATA and SPSS.” This … Continue Reading

DataCamp – Importing Data in R (Part 1)

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From DataCamp: “Importing data into R to start your analyses—it should be the easiest step. Unfortunately, this is almost never the case. Data come in all sorts of formats, ranging from CSV and text files and statistical software files to databases and HTML data. Knowing which approach to use is key to getting started with the actual analysis. In this course, you will get started with learning how to read CSV … Continue Reading