#visualization tools

SAS is one of the leading software tools for data analysis, known for its ability to handle large datasets, provide deep statistical analysis, and generate comprehensive reports. A SAS tutorial can help you gain the knowledge and skills needed to master SAS programming, enabling you to use its powerful procedures and capabilities effectively. Whether you're just starting or looking to enhance your SAS skills, this comprehensive tutorial will guide you through key concepts in SAS programming, reporting, and data visualization.

Getting Started with SAS Programming

SAS programming may seem intimidating at first, but it is highly structured, and with the right foundation, anyone can become proficient. The first step in mastering SAS is to familiarize yourself with its basic concepts and syntax. The SAS environment consists of four main components: the Data Step, Procedures (PROCs), Macros, and the Output Delivery System (ODS).

The Data Step is where you create and modify datasets. This is where you load raw data and apply transformations such as cleaning, merging, or summarizing. Procedures (PROCs) are pre-built SAS functions used for various tasks such as statistical analysis, data manipulation, and reporting.

A SAS tutorial for beginners typically starts by explaining these components and guiding you through the basics of data input, variable assignment, and dataset management.

Mastering SAS Procedures

One of the key aspects of SAS programming is learning how to effectively use its procedures (PROCs). Procedures are predefined commands that allow you to perform a wide variety of tasks, from basic data manipulation to complex statistical analysis. Here are some key PROCs you will encounter in your SAS tutorial:

PROC SORT: Used to sort datasets based on specified variables.

PROC MEANS: Used for summarizing data, calculating mean, median, standard deviation, etc.

PROC FREQ: Used to calculate the frequency of categorical variables.

PROC REG: Used for performing regression analysis.

Mastering these basic procedures will help you quickly get results and insights from your data. As you become more proficient, you can explore more advanced procedures for statistical analysis, machine learning, and data modeling.

Reporting and Output Delivery

Reporting is another essential aspect of SAS programming. With SAS’s Output Delivery System (ODS), you can generate high-quality reports and customize the layout of your results. ODS allows you to produce reports in various formats, such as HTML, PDF, and Excel.

Using SAS tutorial resources, you will learn how to customize the appearance of your reports, filter the output, and even create multi-page reports. This is particularly useful for presenting results to stakeholders in an easy-to-understand format.

Data Visualization with SAS

Data visualization is crucial in turning complex data into a clear and engaging story. SAS offers a variety of tools for creating high-quality graphs and charts. The SGPLOT procedure is one of the most commonly used SAS procedures for creating visualizations.

In this SAS tutorial, you'll learn how to create bar charts, line plots, histograms, and scatter plots, all of which help you identify patterns and trends in your data. SAS also allows for more advanced visualizations like interactive graphs and dashboards.

Conclusion

Revolutionizing Retail with Data Visualization

This article will brief you on the methods to connect Facebook Ads to Looker Studio using Two Minute Reports (TMR). NOTE: You will require a Two Minute Reports trial or base plan to achieve this. Method 1: Connecting to Facebook Ads using TMR connector

Go to twominutereports.com and select Accounts placed at the top right corner. You will have the data connectors section open, choose the Facebook Ads connector.

Create a new Data Source by authorising your Facebook ads account and click save. Now, choose the query config section.

Create a new Query Config by adding your Facebook Ads data source and other attribution settings.

Now, choose Create Report, select your credentials, and click on Create Report from Scratch.

Your Looker Studio Report will now be created with your selected data source and Ad accounts.

Method 2: Using a pre-defined Facebook Ads template of TMR

Click here to view the entire Template Gallery.

Follow the first 3 steps of method 1.

Now, choose a Facebook Ads template for your use case listed below and authorise your data source and query config for the same.

Click on Create Report, and your Template will now be open with all your Facebook Ads data. You can add or modify the charts and fields present there and also change the date range according to your need.

The EP in my super self-indulgent self-insert fic! (Everything has been even further fictionalized here for sharing on tumblr). Previously mentioned in this post, which breaks down the process involved in creating the above visualization.

One of my major characters will be working with a side character on their EP; the above is the visualization I created in Milanote to track the process in broad strokes, with the finished album shown in the first column.

In this visualization, my character is referred to as “All the King’s Horses.” So I’ve tracked out everything he’ll be doing at this point, there may be more later.

In total I have seven elements in the main board for the EP:

The main character who’s involved and a breakdown of his responsibilities.

The cover.

The track listing, which includes writing credits and song length.

Guest artists; who did the artist ask to join them? What happened then?

Album production; at a high level, what’s involved.

Album promotion; at a high level, what’s involved.

Album credits, including studio, label, engineer, producer, and a list of artists and their credits.

The 6 Best Data Visualization Tools for Beginners

Graphs and charts aren’t complicated. Beginners won’t have to use complex calculations and graphing paper to build high-quality charts because graph makers will make this task easy for them. (more…)