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clarke e beginner s guide data visualization 2022

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Textbook in PDF format Are you struggling with turning data into insights? Always relying on the faithful pie chart? If you want to learn 40+ different ways to visualize data and how to design them for success, this is the book for you. Data is the new oil. Data is essential for companies to predict trends, identify opportunities and be two steps ahead of the competition by providing them with important insights before they happen. But all this data would render useless without something called data visualization, the ability to turn raw information into meaningful insights. Mastering this skill will undoubtedly lead to better and faster business decisions. Whether you're a data scientist working in tech, transforming consumer behavior into valuable information, a product manager looking to enhance user experience, or brand new to the industry wondering where to start, data visualization is key. But, To unlock the door to successful data visualizations, you'll need to learn a few things, such as: How people process information The fundamentals of data visualization Over 40+ charts, so your tool belt is full A comprehensive design guide How to redesign a visual from bland to stunning And so much more…. Luckily all of these things are covered in Beginners Guide to Data Visualization No matter what industry you work in, there is always a need for better forecasting and understanding of a company's data. Those who develop data visualization skills will play a key role in an organization's growth and will lead the charge, carving a better path forward for company success. I'm sure you've asked yourself, "How on earth do I create these charts?!”. Considering that could be a topic for an entire book, We won't go through it step by step this time. But I can assure you not to panic. There are many programs to create stunning visualizations regardless of your expertise. Let's go through some of them so you can start getting your feet wet. Best options for beginners: - Excel Being the industry standard, I'm sure you've heard of Excel and its many capabilities. Excel is an easy way to take a spreadsheet of data and immediately turn it into a chart without any complex processes or code. - Flourish Flourish is another great option for data visualizations. Where excel lacks, flourish picks up the slack. More uncommon charts such as beeswarm plots and network diagrams are made easy with Flourish as they come pre-built, just waiting for your data. - Datawrapper Datawrapper is an online tool with one of the least barriers to entry. - Infogram Infogram offers interactive charts, infographics, maps, and many free templates to tell compelling data stories. It supports data uploads from google sheets, dropbox, MySQL and more. - PowerBI PowerBI is another great data visualization tool. It has the extra processing power to work with larger sets of data. Their dashboards can also be more customizable than Excel. It's essentially a more powerful Excel. - Tableau Tableau is one of the most used programs in the business world. Tableau excels at visualizing even the most extensive data sets without limitations on the number of data points or rows. - Python Python is a programming language with many built-in libraries that make it possible to visualize data. Libraries such as Matplitlib, Pandas visualization, Seaborn, and Plotly make it possible to curate your data into a wide array of dashboards and visuals. - R R is another statistical language used for the analysis and visualization of data. It connects with various libraries that, with some coding, you can turn your data into visual insights. Who Is This Book For? Project managers, data scientists, marketers, social media analysts, product managers… All these professionals and more would have a far easier time relaying information and insights if they learned the art of telling stories through data visualization. My passion has led me to create a series of books to give you the tools to tell captivating stories with data

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clarke e beginner s guide data visualization 2022

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