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Pulling Shopify Data Into R With shopr

In this tutorial I’ll show you how to use the shopr package to fetch data from a shopify shop into R. (Not to be confused with the shopifyr package.) Disclaimer I’m the author of shopr. Setup Install shopr The first thing you should do is install the shopr package. I haven’t tried submitting it to CRAN (perhaps I will in the future), so for now you need to install it directly from github.

Python Pandas For Your Grandpa | Section 1.1 | Introduction

Course Contents Introduction Series 2.1 Series Creation 2.2 Series Basic Operations 2.3 Series Basic Indexing 2.4 Series Overwriting Data 2.5 Series Apply 2.6 Series Concatenation 2.7 Series Boolean Indexing 2.8 Series View Vs Copy 2.9 Series Missing Values 2.10 Series Challenges Hi and welcome my course - Python pandas For Your Grandpa, so easy your grandpa could learn it. You probably already know, pandas is Python’s go-to package for data wrangling tasks, typically for data science and machine learning.

Python Pandas For Your Grandpa | Section 2.1 | Series Creation

Course Contents Introduction Series 2.1 Series Creation 2.2 Series Basic Operations 2.3 Series Basic Indexing 2.4 Series Overwriting Data 2.5 Series Apply 2.6 Series Concatenation 2.7 Series Boolean Indexing 2.8 Series View Vs Copy 2.9 Series Missing Values 2.10 Series Challenges pandas is a vast library of data wrangling tools, but all those tools are centered around two fundamental data structures: Series and DataFrame. If you imagine a table of data, you can think of each column as a Series and the structured collection of every column as a DataFrame.

Python Pandas For Your Grandpa | Section 2.10 | Series Challenges

Course Contents Introduction Series 2.1 Series Creation 2.2 Series Basic Operations 2.3 Series Basic Indexing 2.4 Series Overwriting Data 2.5 Series Apply 2.6 Series Concatenation 2.7 Series Boolean Indexing 2.8 Series View Vs Copy 2.9 Series Missing Values 2.10 Series Challenges import numpy as np import pandas as pd Strings Given a Series of strings, count how many times these words occur: {football, shoe, dog} # Setup strings = pd.

Python Pandas For Your Grandpa | Section 2.2 | Series Basic Operations

Course Contents Introduction Series 2.1 Series Creation 2.2 Series Basic Operations 2.3 Series Basic Indexing 2.4 Series Overwriting Data 2.5 Series Apply 2.6 Series Concatenation 2.7 Series Boolean Indexing 2.8 Series View Vs Copy 2.9 Series Missing Values 2.10 Series Challenges import numpy as np import pandas as pd Suppose you have the following Series of integers, [1,2,3,4], and you add a scalar to it. x = pd.

Python Pandas For Your Grandpa | Section 2.3 | Series Basic Indexing

Course Contents Introduction Series 2.1 Series Creation 2.2 Series Basic Operations 2.3 Series Basic Indexing 2.4 Series Overwriting Data 2.5 Series Apply 2.6 Series Concatenation 2.7 Series Boolean Indexing 2.8 Series View Vs Copy 2.9 Series Missing Values 2.10 Series Challenges import numpy as np import pandas as pd Accessing Series Elements Suppose we have the following series x = pd.Series([5, 10, 15, 20, 25]) print(x) ## 0 5 ## 1 10 ## 2 15 ## 3 20 ## 4 25 ## dtype: int64 If you wanted to access the ith element of this series, you might be inclined to use square-bracket indexing notation just like accessing elements from a python list or a NumPy array.