Google Search Central’s Post

Very interesting discussion about how Google is using data science to measure quality and make improvements, how search behavior is changing over time, and how to think about E-E-A-T and the Search Quality Rater Guidelines! #seo #google

When you’re in a new domain building out foundational research or looking to gather large amounts of raw data from several data sources, one methodology always sticks out —Grounded Theory. Checkout my article for more 👉 https://lttr.ai/AMgfT #UserExperience #UXResearch

👉Data Science uses real-life examples that everyone can relate to. Join us as we explore how data science powers personalized recommendations and enhances user experiences. #whatisdatascience #datascience #dataScienceexplained #IIDST

When you’re in a new domain building out foundational research or looking to gather large amounts of raw data from several data sources, one methodology always sticks out —Grounded Theory. Checkout my article for more 👉 https://lttr.ai/AOYqh #UserExperience #UXResearch

When you’re in a new domain building out foundational research or looking to gather large amounts of raw data from several data sources, one methodology always sticks out —Grounded Theory. Checkout my article for more 👉 https://lttr.ai/AMXtU #UserExperience #UXResearch

The Art of Data Science: Crafting Better Data Visuals Affordances, accessibility, and aesthetics in data visual design

The Art of Data Science: Crafting Better Data Visuals Affordances, accessibility, and aesthetics in data visual design

Level up your data analysis this #FeatureFriday! 🔝 HEAVY Immerse introduces multi-layer geocharts, letting analysts see complex relationships at a glance. 🤔 Imagine visualizing massive datasets on a single map, with each layer revealing a new dimension. Uncover hidden insights and make data exploration seamless. Ready to see the power of layered geospatial data? Learn more about Heavy Immerse! 📊 https://bit.ly/45tcu8y #DataAnalysis #BigData #DataScience #GeoCharts

Working with real-world data is a whole different ball game from tidy Kaggle datasets. Noise, bias, and unpredictability are the norm. The ability to deal with this complexity and a vision to transform chaos into clarity are vital skills in the data landscape. #DataScience #DataEngineering Consider an example of public-populated data: inconsistencies abound. Variations in entries, sourced from diverse origins, become breeding grounds for error. One way to prevent this is thoughtful UI design which involves providing users with predefined options to select from, rather than allowing free-form input wherever applicable. By guiding users towards standardized choices, errors and inconsistencies in data entry can be minimized, ultimately leading to cleaner and more reliable datasets.

Hey LinkedIn! If you’re new to following me, I will be using my blog to experiment with mixing prose and interactive data visualization, and improving the user experience of data vis on the web. The visualizations I author can be on any topic - if you have an interesting data set or are interested in some particular topic, let me know in the comments.