Vince Kunde

Vince Kunde


WordPress Hooks Tutorial For Beginners - Actions

In this beginner’s tutorial we kickoff the WordPress Hooks discussion by taking a look at Actions. WordPress Actions are a big part of making WordPress extendible. As a developer, you’ll want to make sure that you understand the concept of Actions and Filters…you’ll find yourself using them on a daily basis. They are definitely things I wish I knew when I was starting out.

#wordpress #web-development #programming #developer #php

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WordPress Hooks Tutorial For Beginners - Actions
Jeromy  Lowe

Jeromy Lowe


Data Visualization in R with ggplot2: A Beginner Tutorial

A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.

This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!

In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2

#data science tutorials #beginner #ggplot2 #r #r tutorial #r tutorials #rstats #tutorial #tutorials

Callum  Owen

Callum Owen


WordPress Tutorial [UPDATED] - How to Make a WordPress Website for Beginners

UPDATED TUTORIAL: With this WordPress tutorial, you’ll learn how to make a website in this step-by-step WordPress Tutorial! Then you can create your blog, business website, ecommerce store, or non profit website.

Starting a site can appear very daunting especially when you’re new or not comfortable with technology. We’ve helped many different beginners get their own sites up and running. In this video, we’ll show you how to create a website using WordPress.


For our discount use the code: WPBVIP

For this tutorial, we will be using Bluehost and you can use our affiliate/referral link for a discount below:

The video will go through the different steps in purchasing and getting BlueHost set up. The only addon that you may want to consider would be the privacy addon, otherwise, we do not recommend the other addons as they can be replaced with WordPress plugins.

Once your purchase is complete, BlueHost should install WordPress for you or walk you through the installation process for the settings that you would like to have on creation. After that, you would want to log into the WordPress site to start editing.

To remove any excess clutter we will be disabling all plugins except MonsterInsights(gives you Analytics), WPForms(allows you to create contact forms), and OptinMonster. For the others, we will click the checkbox and in the dropdown options, we will select deactivate, apply, and then repeat that process for deleting the plugins.

For the design of your site, you would want to go under Appearance, Themes, and choose the theme you would like, for this tutorial we have purchased and are using the Astra theme. You can find that theme using our referral/affiliate link below:

After the base design of the site is set up or you have a template added, we will want to fix the URLs on your site so they are human-readable. To do this we will go under Settings, Permalinks and update the permalinks to a different version. We prefer the post name default option.

The video will go through the different customization options available and different ways you can customize your site. If you use a different theme then your options may be different than what is shown in the video for appearance.

The general settings, as well as available plugins, should not change based on the theme you are using.

We also walk you through setting up a contact form with WPForms, connecting your site to Google Analytics using Monster Insights, and a nice tip for creating personalized landing pages using SeedProd.

If you liked this video, then please Like and consider subscribing to our channel here for more WordPress videos.

Feel free to take a look at the written version of this tutorial here:

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0:00 Intro
0:56 What is hosting and a website
1:45 Purchase hosting
3:35 Installing WordPress
4:10 WordPress overview
6:00 How to install your WordPress theme
8:50 How to customize your theme
13:25 How to update the footer text in WordPress
14:17 How to change the font and color of your WordPress Theme
16:17 How to add a call to action button in your WordPress menu
17:13 How to add a blog page to your WordPress website
17:30 How to create a menu for your site
20:09 How to create a contact form
24:16 How to add social icons to your contact page
24:48 How to Customize a WordPress page
27:19 How to connect your site to Google Analytics
31:14 How to add a coming soon page to your WordPress website
35:59 How to create a logo for your website
38:20 How to write a blog post

#CreateaWebsite #WordPress #WPBeginner

#createawebsite #wordpress #wpbeginner #wordpress tutorial #wordpress website for beginners

Willie  Beier

Willie Beier


Tutorial: Getting Started with R and RStudio

In this tutorial we’ll learn how to begin programming with R using RStudio. We’ll install R, and RStudio RStudio, an extremely popular development environment for R. We’ll learn the key RStudio features in order to start programming in R on our own.

If you already know how to use RStudio and want to learn some tips, tricks, and shortcuts, check out this Dataquest blog post.

Table of Contents

#data science tutorials #beginner #r tutorial #r tutorials #rstats #tutorial #tutorials

Tutorial: Loading and Cleaning Data with R and the tidyverse

1. Characteristics of Clean Data and Messy Data

What exactly is clean data? Clean data is accurate, complete, and in a format that is ready to analyze. Characteristics of clean data include data that are:

  • Free of duplicate rows/values
  • Error-free (e.g. free of misspellings)
  • Relevant (e.g. free of special characters)
  • The appropriate data type for analysis
  • Free of outliers (or only contain outliers have been identified/understood), and
  • Follows a “tidy data” structure

Common symptoms of messy data include data that contain:

  • Special characters (e.g. commas in numeric values)
  • Numeric values stored as text/character data types
  • Duplicate rows
  • Misspellings
  • Inaccuracies
  • White space
  • Missing data
  • Zeros instead of null values

2. Motivation

In this blog post, we will work with five property-sales datasets that are publicly available on the New York City Department of Finance Rolling Sales Data website. We encourage you to download the datasets and follow along! Each file contains one year of real estate sales data for one of New York City’s five boroughs. We will work with the following Microsoft Excel files:

  • rollingsales_bronx.xls
  • rollingsales_brooklyn.xls
  • rollingsales_manhattan.xls
  • rollingsales_queens.xls
  • rollingsales_statenisland.xls

As we work through this blog post, imagine that you are helping a friend launch their home-inspection business in New York City. You offer to help them by analyzing the data to better understand the real-estate market. But you realize that before you can analyze the data in R, you will need to diagnose and clean it first. And before you can diagnose the data, you will need to load it into R!

3. Load Data into R with readxl

Benefits of using tidyverse tools are often evident in the data-loading process. In many cases, the tidyverse package readxl will clean some data for you as Microsoft Excel data is loaded into R. If you are working with CSV data, the tidyverse readr package function read_csv() is the function to use (we’ll cover that later).

Let’s look at an example. Here’s how the Excel file for the Brooklyn borough looks:

The Brooklyn Excel file

Now let’s load the Brooklyn dataset into R from an Excel file. We’ll use the readxlpackage. We specify the function argument skip = 4 because the row that we want to use as the header (i.e. column names) is actually row 5. We can ignore the first four rows entirely and load the data into R beginning at row 5. Here’s the code:

library(readxl) # Load Excel files
brooklyn <- read_excel("rollingsales_brooklyn.xls", skip = 4)

Note we saved this dataset with the variable name brooklyn for future use.

4. View the Data with tidyr::glimpse()

The tidyverse offers a user-friendly way to view this data with the glimpse() function that is part of the tibble package. To use this package, we will need to load it for use in our current session. But rather than loading this package alone, we can load many of the tidyverse packages at one time. If you do not have the tidyverse collection of packages, install it on your machine using the following command in your R or R Studio session:


Once the package is installed, load it to memory:


Now that tidyverse is loaded into memory, take a “glimpse” of the Brooklyn dataset:

## Observations: 20,185
## Variables: 21
## $ BOROUGH <chr> "3", "3", "3", "3", "3", "3", "…
## $ `TAX CLASS AT PRESENT` <chr> "1", "1", "1", "1", "1", "1", "…
## $ BLOCK <dbl> 6359, 6360, 6364, 6367, 6371, 6…
## $ LOT <dbl> 70, 48, 74, 24, 19, 32, 65, 20,…
## $ `EASE-MENT` <lgl> NA, NA, NA, NA, NA, NA, NA, NA,…
## $ `BUILDING CLASS AT PRESENT` <chr> "S1", "A5", "A5", "A9", "A9", "…
## $ ADDRESS <chr> "8684 15TH AVENUE", "14 BAY 10T…
## $ `APARTMENT NUMBER` <chr> NA, NA, NA, NA, NA, NA, NA, NA,…
## $ `ZIP CODE` <dbl> 11228, 11228, 11214, 11214, 112…
## $ `RESIDENTIAL UNITS` <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1…
## $ `COMMERCIAL UNITS` <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ `TOTAL UNITS` <dbl> 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1…
## $ `LAND SQUARE FEET` <dbl> 1933, 2513, 2492, 1571, 2320, 3…
## $ `GROSS SQUARE FEET` <dbl> 4080, 1428, 972, 1456, 1566, 22…
## $ `YEAR BUILT` <dbl> 1930, 1930, 1950, 1935, 1930, 1…
## $ `TAX CLASS AT TIME OF SALE` <chr> "1", "1", "1", "1", "1", "1", "…
## $ `BUILDING CLASS AT TIME OF SALE` <chr> "S1", "A5", "A5", "A9", "A9", "…
## $ `SALE PRICE` <dbl> 1300000, 849000, 0, 830000, 0, …
## $ `SALE DATE` <dttm> 2020-04-28, 2020-03-18, 2019-0…

The glimpse() function provides a user-friendly way to view the column names and data types for all columns, or variables, in the data frame. With this function, we are also able to view the first few observations in the data frame. This data frame has 20,185 observations, or property sales records. And there are 21 variables, or columns.

#data science tutorials #beginner #r #r tutorial #r tutorials #rstats #tidyverse #tutorial #tutorials

5 Best WordPress Courses for Beginners

Without wasting any more of your time, here is a list of the best online courses to learn WordPress. These are the best WordPress courses from Udemy and Coursera, a popular online training platform.

  1. [WordPress for Beginners — Master WordPress Quickly]
  2. [WordPress for Beginners: Create Your Own WordPress Website]
  3. [How To Make a WordPress Website -Elementor Page Builder]
  4. [Build a Full Website using WordPress Coursera]
  5. [How To Create a Website on a Weekend!]
    That’s all about the best online courses to learn WordPress for beginners and experienced developers .

#wordpress #beginners #best wordpress #wordpress website #top wordpress courses