After clicking the link, follow the prompts to download the free user guide with iBooks (Apple Books in iOS 12 and macOS Mojave)Here’s what the process looks like on iPhone:You may need to enter your Apple ID password to download the free ebook.On iPad and iPhone, you can swipe to turn pages, don’t forget to tap the screen to use the handy table of contents, search, and bookmark features up top.While it’s often handy to have these user guides downloaded to your device(s), you can also use the web versions. You can find physical copies from various third-parties ranging from around $10-$20 on Amazon, but the free official Mac guides have some benefits.Aside from being the official guides from Apple, they are updated over time as the company releases new software and changes come to macOS. Another big benefit is that the iBooks guides are quickly searchable.Note: It can be helpful to have the user guide you’d like to read on a secondary device if possible so you can reference it as you use the device you’re learning about. Mac: How to get the official Apple user guide for free In this case you may want to load the Mac user guide on an iPad or iPhone.For Mac users, select the operating system ‘macOS’ and then the download option with ‘DMG Archive’. I will show you how you can install SQL on your local system and provide some examples of how SQL can be used to answer business problems using a Netflix dataset.Let’s start by installing MySQL. Worry not, learning a new SQL dialect after you’ve mastered MySQL will be a walk in the park. English speakers are able to understand one another and communicate with a slight variation in accents most of the time.In this SQL tutorial, I will be using MySQL exclusively. The differences in SQL dialects are comparable to the various dialects or accents in the English language. These are different dialects of SQL that are largely similar, with minor differences in syntax.Once that is done, proceed to download MySQL Workbench 8.0.20. You will be prompted to create a password for your MySQL Server, which will be needed to access the MySQL server. At the configuration page, select Use Strong Password Encryption. You should see the screen below. Once the download is completed, open the downloaded file and proceed with the installation.On the next screen, you can simply click No thanks, just start my download to start the download. Select the operating system Microsoft Windows and then the download option MySQL Installer MSI. Once you’re done with the installation, open MySQLWorkbench, which should be found in your applications. Click on the download button and install the product. On this download page, select ‘8.0.20’ as the product version and ‘macOS’ as the operating system.
For Beginners 2018 Software And ChangesThen, on the next page Accounts and Roles, enter the password in MySQL Root Password. On the page Authentication Method, select use Strong Password Encryption for Authentication. MySQL Workbench 8.0.22, which is a graphical user interface for working with MySQL. On Select Product and Features, move the following from Available Products to Products/Features to be Installed.B. The very first SQL query is to create a schema called new_schema. Creating a schemaNow that we’re at the home screen of the MySQL Workbench, we’re ready for our very first query in SQL. Once you have entered that password, you should be greeted with the MySQL Workbench.We’re done installing MySQL on our workstations! For a guide to install MySQL on Python, feel free to follow this tutorial. You will be prompted for the password that you have created earlier. On the final page, make sure that you check Start MySQL Workbench after setup since we will be using MySQL Workbench for the remaining parts of the tutorial.Congratulations! MySQL Workbench is installed.On the home screen of MySQL Workbench, click on Local Instance 3306. Proceed with the installation with the other default settings. Logic pro x mac torrentRight-click on new_schema and select Table Data Import Wizard. After downloading the file from this link, you can use the MySQL Workbench Table Import Wizard using the instructions below. In this example, let’s upload a comma-separated values (CSV) file that contains data on Netflix titles. For Mac users, the shortcut is Command+Enter.For the schema to show up, right-click on the schema panel and hit ‘Refresh’.Now that we’ve created a schema, we are ready to create a table inside the schema. Check the drop table if it exists. Select new_schema and name the table netflix_titles. In the next step, select Create new table. TV-PG)Total duration - in minutes for movies or number of seasons for TV showsWe can now query the entire table to check if the table has been imported correctly.To do some, simply run the query SELECT * FROM new_schema.netflix_titles This query means select all columns from the table called netflix_titles that exists in the schema called new_schema. For this example, we’ll be using SQL to find out some interesting facts about movies and TV shows on Netflix using this dataset from Kaggle.This dataset contains the following columns.Whether the title is a movie or a TV ShowTV Rating of the movie / show (e.g. From here on, click next until you see a confirmation that the data has been imported completely.Now that we are done with the preparation work, we are ready to say Hello World using MySQL. Is used to indicate the relationship between the new_schema and netflix_titles. FROM is a keyword used to indicate the source of data.•. * is used to indicate that all columns are selected. What is the average number of seasons of a TV show (not movies) on Netflix? Which Netflix titles are released in the year 2018? is optionally used to end a query script.We can now answer some interesting questions such as: SELECT * FROM new_schema.netflix_titlesWhat if we’d like to find out titles that are released in 2016, 20 only? To do that, we need a new operator called IN. SELECT * FROM new_schema.netflix_titlesWhat if you’d like to find Netflix titles that are released between 20? That’s easy—we can use the BETWEEN and AND operator as such. However, we only select the rows of data where the release_year is 2018.Here, notice that WHERE is a keyword used to include only certain rows that fulfill the criteria and exclude those that do not.Instead of the equal operator ( =), we can also use other operators, such as greater than ( >), less than ( =), at most ( ).For instance, if we want to find netflix titles that are released after 2018, we can use the SELECT * FROM new_schema.netflix_titlesOn the other hand, to select only Netflix titles released before or in 2018, the query is. SELECT * FROM new_schema.netflix_titlesThis query means select all columns from the table called netflix_titles that exists in the schema called new_schema. Which Netflix titles are released in the year 2018?To answer this question, we can run the following query. What is the distribution of the year of release of Netflix titles?1. SELECT title, release_yearIf you run this query, you should see that the film ‘Pioneers: First Women Filmmakers’ was released in 1925.The query above translates to find all titles and the corresponding release_year and arrange the results in ascending order of the release_year. The following question will illustrate this.We can answer this using the following query. SELECT * FROM new_schema.netflix_titlesWHERE release_year IN (2016, 2017, 2019) Now, what if we want to find the oldest title on Netflix? To do so, we’ll need to arrange the rows in descending order of release year.
0 Comments
Leave a Reply. |
AuthorChelsea ArchivesCategories |