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Summer vacation discounts banner. The background should include a vibrant image of a paradise beach with golden sand , turquoise waters , and a clear sky with the sun shining. Elements such as palm trees and a suitcase next to a sun lounger may also appear. The text should be large and attractive , with a bold title that says Summer of discounts! Below it , a subtitle with the offer: 'Take advantage of up to 50% OFFSummer vacation discounts banner. The background should include a vibrant image of a paradise beach with golden sand , turquoise waters , and a clear sky with the sun shining. Elements such as palm trees and a suitcase next to a sun lounger may also appear. The text should be large and attractive , with a bold title that says Summer of discounts! Below it , a subtitle with the offer: 'Take advantage of up to 50% OFF ,
Fairness means ensuring your analysis doesn't create or reinforce bias. This can be challenging , but if the analysis is not objective , the conclusions can be misleading and even harmful. In this reading , you’re going to explore some best practices you can use to guide your work toward a more fair analysis! Consider fairness Following are some strategies that support fair analysis: Best practice Explanation Example Consider all of the available data Part of your job as a data analyst is to determine what data is going to be useful for your analysis. Often there will be data that isn’t relevant to what you’re focusing on or doesn’t seem to align with your expectations. But you can’t just ignore it; it’s critical to consider all of the available data so that your analysis reflects the truth and not just your own expectations. A state’s Department of Transportation is interested in measuring traffic patterns on holidays. At first , they only include metrics related to traffic volumes and the fact that the days are holidays. But the data team realizes they failed to consider how weather on these holidays might also affect traffic volumes. Considering this additional data helps them gain more complete insights. Identify surrounding factors As you’ll learn throughout these courses , context is key for you and your stakeholders to understand the final conclusions of any analysis. Similar to considering all of the data , you also must understand surrounding factors that could influence the insights you’re gaining. A human resources department wants to better plan for employee vacation time in order to anticipate staffing needs. HR uses a list of national bank holidays as a key part of the data-gathering process. But they fail to consider important holidays that aren’t on the bank calendar , which introduces bias against employees who celebrate them. It also gives HR less useful results because bank holidays may not necessarily apply to their actual employee population. Include self-reported data Self-reporting is a data collection technique where participants provide information about themselves. Self-reported data can be a great way to introduce fairness in your data collection process. People bring conscious and unconscious bias to their observations about the world , including about other people. Using self-reporting methods to collect data can help avoid these observer biases. Additionally , separating self-reported data from other data you collect provides important context to your conclusions! A data analyst is working on a project for a brick-and-mortar retailer. Their goal is to learn more about their customer base. This data analyst knows they need to consider fairness when they collect data; they decide to create a survey so that customers can self-report information about themselves. By doing that , they avoid bias that might be introduced with other demographic data collection methods. For example , if they had sales associates report their observations about customers , they might introduce any unconscious bias the employees had to the data. Use oversampling effectively When collecting data about a population , it’s important to be aware of the actual makeup of that population. Sometimes , oversampling can help you represent groups in that population that otherwise wouldn’t be represented fairly. Oversampling is the process of increasing the sample size of nondominant groups in a population. This can help you better represent them and address imbalanced datasets. A fitness company is releasing new digital content for users of their equipment. They are interested in designing content that appeals to different users , knowing that different people may interact with their equipment in different ways. For example , part of their user-base is age 70 or older. In order to represent these users , they oversample them in their data. That way , decisions they make about their fitness content will be more inclusive. Think about fairness from beginning to end To ensure that your analysis and final conclusions are fair , be sure to consider fairness from the earliest stages of a project to when you act on the data insights. This means that data collection , cleaning , processing , and analysis are all performed with fairness in mind. A data team kicks off a project by including fairness measures in their data-collection process. These measures include oversampling their population and using self-reported data. However , they fail to inform stakeholders about these measures during the presentation. As a result , stakeholders leave with skewed understandings of the data. Learning from this experience , they add key information about fairness considerations to future stakeholder presentations. ,
Photo of a modern beach house nestled in the tropical jungles of Costa Rica , with a minimalist design that blends seamlessly with the natural environment... The house features a clean and sleek white facade , with large windows that offer breathtaking views of the turquoise waters and white sand beach... A wooden deck leads to a private infinity pool that merges with the ocean , creating a sense of tranquility and calmness... The warm tones of the surrounding vegetation and the soft light of the sun provide the perfect backdrop for a relaxing vacation... A group of friends is seen lounging on the deck , enjoying the cool ocean breeze and the sound of the waves crashing on the shore... --ar 16:9 --c 3 --q 5 --s 1000 - ,
a girl with blonde hair sitting in car filled butterflies , art by Rinko Kawauchi , in the style ofnaturalistic poses , vacation dadcore , youthfulenergy , a coolexpression , body extensions , flowersin the sky , analog film , super detail , dreamy lofiphotography , colourful , covered in flowers andvines , Inside view , shot on fujifilm XT4 --q 2 --v 5 --ar 3:4 ,
