Imagine you are sharing your data with a company stakeholder. why might you display data with a data visualization instead of a table? select all that apply.

Optional: Familiar with data analytics? Take our diagnostic quiz Practice Get ready to take the next step in your data analytics journey with the question below! A clothing retailer collects and stores data about its sales revenue. Which of the following would be part of its data ecosystem? Select all that apply. The cloud that store its database Records of its inventory ✓ The databases of competing retailers The database of sales revenue ✓ The clothing retailer’s data ecosystem would include the database of sales revenue, the cloud that stores the database, and records of its inventory. A data ecosystem is the various elements that interact with one another in order to produce, manage, store, organize, analyze, and share data. What is the process of guiding business strategy using facts? Analytical planning Identification of data and decisions Data-driven decision-making ✓ Strategic improvement Data-driven decision-making is the process of guiding business strategy using facts. Fill in the blank: Curiosity, understanding context, having a technical mindset, data design, and data strategy are _____. They enable data analysts to solve problems using facts. thought processes business skills analytical skills √ personal insights Curiosity, understanding context, having a technical mindset, data design, and data strategy are analytical skills. They enable data analysts to solve problems using facts. The owner of a skate shop notices that every time a certain employee has a shi...

Summary. While a good presentation has data, data alone doesn’t guarantee a good presentation. It’s all about how that data is presented. The quickest way to confuse your audience is by sharing too many details at once. The only data points you should share are those that significantly support your point — and ideally, one point per chart. To avoid the debacle of sheepishly translating hard-to-see numbers and labels, rehearse your presentation with colleagues sitting as far away as the actual audience would. While you’ve been working with the same chart for weeks or months, your audience will be exposed to it for mere seconds. Give them the best chance of comprehending your data by using simple, clear, and complete language to identify X and Y axes, pie pieces, bars, and other diagrammatic elements. Try to avoid abbreviations that aren’t obvious, and don’t assume labeled components on one slide will be remembered on subsequent slides. Every valuable chart or pie graph has an “Aha!” zone — a number or range of data that reveals something crucial to your point. Make sure you visually highlight the “Aha!” zone, reinforcing the moment by explaining it to your audience. With so many ways to spin and distort information these days, a presentation needs to do more than simply share great ideas — it needs to support those ideas with credible data. That’s true whether you’re an executive pitching new business clients, a vendor selling her services, or a CEO making a case for change...

As a data scientist, you might evaluate your own work based upon accuracy, completeness, models, or some other criterion. But, if you’re not able to demonstrate the business impact of your analysis, it becomes worthless to stakeholders. Over the course of my career at Retina, Facebook, PayPal, and Booz Allen, my stakeholders have included four-star generals, c-suite executives, heads of business development, and vice presidents of marketing. Plus I had to manage their subordinate stakeholders, from marketing managers and business analysts to data scientists. On your team, designate a champion executive who is a data driven leader. Employing logic and reason, this executive should demonstrate how data can be an empowering force in the stakeholder’s organization. On the other side, you might have a business unit leader, their analyst, and a day-to-day point of contact. When sharing your data analysis with stakeholders, it’s crucial to set expectations and deliver the results so that all parties understand the value. Even if your analysis tells a positive story for the company, if your presentation leaves stakeholders with more questions than insights, your work won’t be recognized. This goes for both external and internal stakeholders. Unfortunately, stakeholder communication and management is a soft skill not taught in any academic curriculum. You need to have the skills to not only communicate your data science analysis but also to influence business decisions based upon t...

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• Albania • Belgium • Bosnia & Herz. • Česká Republika • Croatia • Danmark • Deutschland • Ελλάδα • España • France • Iceland • Ireland • Italia • Luxembourg • Magyarország • Montenegro • Nederland • Norge • North Macedonia • Österreich • Polska • Portugal • România • Россия • Schweiz (Deutsch) • Serbia • Slovenia • Slovensko • Suisse (Français) • Suomi • Sverige • Türkiye • Україна • United Kingdom History of Data Visualization The concept of using pictures to understand data has been around for centuries, from maps and graphs in the 17th century to the invention of the pie chart in the early 1800s. Several decades later, one of the most cited examples of statistical graphics occurred when Charles Minard mapped Napoleon’s invasion of Russia. The map depicted the size of the army as well as the path of Napoleon’s retreat from Moscow – and tied that information to temperature and time scales for a more in-depth understanding of the event. It’s technology, however, that truly lit the fire under data visualization. Computers made it possible to process large amounts of data at lightning-fast speeds. Today, data visualization has become a rapidly evolving blend of science and art that is certain to change the corporate landscape over the next few years. Why is data visualization important? Because of the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports. Data visualiza...

9. Question 9 You are querying a database of manufacturing company suppliers. The column name for supplier identification numbers is supplier_id. What is the correct clause to retrieve only data about the supplier with identification number 85317? 1 / 1 point SELECT supplier_id 85317 COLUMN supplier_id = 85317 WHERE supplier_id = 85317 FROM supplier_id 85317 Correct The correct clause is WHERE supplier_id = 85317. This clause tells the database to return only information about the supplier whose ID is 85317.