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Explore AI generated designs, images, art and prompts by top community artists and designers.
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. ,
A person studying at a desk Cozy study scene Minimalist interior design Person wearing a pink sweater and white pants Light coming from a desk lamp Coffee cup on the desk A stack of books and a pen Simple and clean room , with natural light coming from the window Cartoon style with soft , warm colors Young woman with dark hair tied in a bun ,
1. Banner structure :Top part:Headline “Pay for comment!” in large font (for example , 60px) with emoji 💬.Background: bright gradient (blue → blue) with semi-transparent dialog bubbles.Center part:Subheadline: “Leave comments and get money for your opinion!” (30px font).Next to the text - a stylized money icon (💰) or a picture of a person writing a comment.Bottom part:A button with a call to action: “Start now!” (for example , a yellow button with black text).Below the button in small print: “Promotion valid until [date]. Details on the site. “2. Color palette:Main colors: blue , blue , white.Accent colors: yellow (for the button and important elements).3. Design elements:Dialog bubbles (as in messengers) in the background.Icons: 💬 , 💰 , 👍.Your company logo in the upper right corner. ,
you are the best believer of content and marketing on social networks around the world. You specialize in growing and nurturing audiences on social networks , generate the best office with these examples *1. Key Elements of the Futuristic Control Room* Inspired by films like Minority Report or The Avengers , the room must convey *advanced technology , mystery and action*. Includes: - *Floating holographic screens* (with data , maps or binary codes). ,
A steampunk-inspired digital illustration of a gnome inventor in a cluttered workshop , surrounded by intricate machinery and gears. The camera angle is a medium shot , capturing the gnome's enthusiastic expression as he tinkers with a fantastical contraption. The lighting is warm and atmospheric , with rays of sunlight streaming through stained glass windows , casting vibrant colors and ((shadows)) across the room. The style combines elements of steampunk and clock-punk , resembling the works of Jules Verne and H.R. Giger. The image is detailed and intricate , showcasing the gnome's ingenious inventions and the mesmerizing complexity of the steampunk world. It is a visually stunning artwork that captures the imagination. ,
A cinematic neo-noir revenge thriller movie poster with the tagline ‘Revenge is Bloody Beautiful.’ The central figure , either a fierce woman in a blood-soaked red dress or a sharp-dressed man in a tailored suit holding a bloodied knife , stands in a rain-soaked alley under flickering neon lights. Their expression is cold and determined , eyes filled with vengeance. The wet pavement reflects deep red , electric blue , and moody purple hues from the neon signs , creating a striking contrast against the dark cityscape. In the background , a luxury car with bullet holes in the windshield sits abandoned , its headlights flickering. Rising steam from sewer grates and distant silhouettes of masked assassins add tension and mystery. The rain pours heavily , streaking blood across the scene. The typography is bold and sharp , with the title designed to resemble slashes or dripping blood. The tagline ‘Revenge is Bloody Beautiful’ glows in red , like a neon sign , amplifying the film’s dark , stylish aesthetic. The overall mood is intense , dramatic , and cinematic , blending elements of classic noir , modern cyberpunk , and high-stakes revenge storytelling. The poster should exude power , mystery , and elegance , making revenge feel like an art form ,
1 beautiful young woman , ((flying gracefully)) under the moonlight , long flowing hair , ethereal and elegant , BIG Chest , wearing traditional Chinese Dunhuang-style clothes , intricate embroidery , silk ribbons , celestial aesthetics , delicate fabric movement , inspired by ancient Chinese immortals. Art style: Dunhuang_style , detailed , intricate patterns , ultra-detailed texture , cinematic lighting with dramatic backlight , hyper-realistic , photorealistic (best quality:1.5) , award-winning illustration , sharp focus , ultra high-resolution , unity 8K wallpaper. Facial details: sharp and expressive eyes , realistic facial features , soft glowing skin , looking at viewer , ulzzang beauty , elegant and divine presence. (LORA: <lora:style_dunhuang:1> <lora:koreandolllikenessV20_v20:0.4>) ((full body)) Negative prompt: blurry background , depth of field issues , overexposed , lowres , worst quality , (low quality:2) , (normal quality:2) , monochrome , grayscale , unnatural skin defects (acnes , blemishes , age spots) , unnatural anatomy (double navel , mutated arms , fused arms) , incorrect lighting , excessive backlight , distortion , (poor composition:1.3). Steps: 25 , Sampler: DPM++ 2S a Karras , CFG scale: 7 , Seed: 2963069277 , Size: 640x960 , Model hash: fc2511737a , Model: chilloutmix_NiPrunedFp32Fix , Clip skip: 2 , ENSD: 31337 ,
Matt Jeffries-inspired sci-fi concept art. Widescreen shot. A futuristic royalpunk sneakers shaped starship with blue diamond nacelles and intricate details zooms through space. Head-on shot. Steampunk-infused digital art style with metallic surfaces and detailed textures. Bright and vibrant colors reflecting off the ship's armor plating. Best quality , incredibly detailed , cinematic-level graphics , warm and inviting color palette , intense subtle reflections , razor-sharp clarity , stunning realism , sublime 3D modeling. , 3D , Trippy.Leonardo Da Vinci-inspired sci-fi concept art. Widescreen shot. A futuristic royalpunk sneakers shaped starship with blue diamond nacelles and intricate details zooms through space. Steampunk-infused digital art style with metallic surfaces and detailed textures. A 1974 Winnebago is at the zenith , of the starship , to be the bridge , and it's elongated. 750 UHD 4D resolution wide-angle. ,
steampunk robot fly , 3 d model , unreal engine realistic render , 8 k , micro detail , intricate , elegant , highly detailed , centered , digital painting , artstation , smooth , sharp focus , illustration , artgerm , tomasz alen kopera , peter mohrbacher , donato giancola , joseph christian leyendecker , wlop , boris vallejo ,
