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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. ,
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parameters <lora:colorful-000004:1> , (xx) , 1girl , photography , masterpiece , best quality , 8K , HDR , highres , absurdres:1.2 , , 1girl , solo , multicolored_hair , pink_hair , long_hair , bangs , looking_at_viewer , Necklace , Veil , whole body , High-heeled shoes , (Hollow Wedding Dress:1) , (background sea) , (Beach) , (Flowers) , Smile , Negative prompt: lowres , bad anatomy , bad hands , text , error , missing fingers , extra digit , fewer digits , cropped , worst quality , low quality , normal quality , jpeg artifacts , signature , watermark , username , blurry , nsfw , paintings , sketches , (worst quality:2) , (low quality:2) , (normal quality:2) , Steps: 20 , Sampler: DPM++ SDE Karras , CFG scale: 7 , Seed: 1935898638 , Size: 512x768 , Model hash: b394832bf0 , Model: xxmix9realistic_v26 , Denoising strength: 0.7 , Clip skip: 2 , ENSD: 31337 , Version: v1.2.1 , Hires upscale: 2 , Hires upscaler: Latent postprocessing Postprocess upscale by: 4 , Postprocess upscaler: R-ESRGAN 4x+ Anime6B 后期处理 Postprocess upscale by: 4 , Postprocess upscaler: R-ESRGAN 4x+ Anime6B ,
A real perfect female anatomy made by beautiful and elegant pure white bio organic ceramic , hyper details , concept futuristic style and ecorchè style , cinematic lights , photo bashing , epic cinematic , octane render , extremely high detail , post processing , 8k , 3d , denoise , redshift style ,
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A real perfect female anatomy made by beautiful and elegant pure white bio organic ceramic , hyper details , concept futuristic style and ecorchè style , cinematic lights , photo bashing , epic cinematic , octane render , extremely high detail , post processing , 8k , 3d , denoise , redshift style ,
masterpiece , perspective , curious old secret pub in a dark old wood , water runs over the Weir , cascading buildings , red roses in the sunlight , mountains in the far background , animation art , dark fantasy , overgrown with lush vegetation , cinematic , smooth , detailed , hyperrealism , very small aperture , clear reflection , post production , post-processing , 8k , retouch , HDR , Super-Resolution , Soft Lighting , Ray Tracing Global Illumination , Lumen Reflections , pastel color palette , art deco , Bloodborne feeling , Pencil Sketch ,
photograph portrait of a young insanely beautiful woman staring at the camera , pop chic clothing , long reddish brown ponytail hair , top hourglass body , cinematic outdoors lighting , low angle medium shot , flirty and playful , vivid emotion , shallow depth of field urban city background , detailed peach fuzz , symmetric circular iris , subtle glitter makeup , detailed moisture , detailed droplets , detailed intricate hair strands , DSLR , ray tracing reflections , by Pino Daeni , by Larry Bud Melman , symmetrical face and body , cgsociety , gottfried helnwein and Irakli Nadar , eye reflections , focused , unreal engine 5 , vfx , post processing , post production , single face , Tanvir Tamim , ultra realistic photography , shot on Hasselblad X1D-50c , ISO 100 Negative prompt:cropped , out of frame , out of focus , off-centered , extra fingers , multiple faces , multiple body , spots on face , mutated hands , poorly drawn hands , poorly drawn face , mutation , deformed , ugly , blurry , bad anatomy , bad proportions , extra limbs , cloned face , disfigured , out of frame , ugly , extra limbs , bad anatomy , gross proportions , malformed limbs , missing arms , missing legs , extra arms , extra legs , mutated hands , fused fingers , too many fingers , long neck , watermark , trademark , logo , text , signature , ,
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3D cars in the night , dead center in frame , machined parts , microchip , super detailed wires and cogs , lace , power cables , in a cyberpunk city , angry expression , glowing eyes , smoke breathing , lifelike , esport , epic , cyan , Moody , Cinematic Lighting , 150mm , Lens Flare , Highly Detailed , Sharp Focus , Octane Rendering , HDRI , Intense , Dramatic , Warm Colors , Fiery Effect , Professional , IMAX , Studio Dark , Low Key , High Contrast , Flawless Detail Award-Winning , Expertly Rendered , Detailed Pupils , Tonal Grading , Post-Processing , Edge Light , Ultra-Realistic ,
masterpiece , perspective , curious old secret flooded castle , cascading armor shops and potion shops , art nouveau , animation art , dark fantasy , overgrown with lush vegetation , cinematic , smooth , detailed , hyperrealism , very small aperture , clear reflection , post production , post-processing , 8k , retouch , HDR , Super-Resolution , Soft Lighting , Ray Tracing Global Illumination , Lumen Reflections , pastel color palette , art deco , Bloodborne feeling ,
