American Crystallographic Association’s Post

Discover our Cluster Explorer!💚 Ready to elevate your data analysis? With the #Cytolution Cluster Explorer, you can: ✨Identify the most significant markers for dividing subpopulations ✨Use state-of-the-art algorithms for data-driven decision making ✨Easily compare groups and extract meaningful biological insights from advanced algorithms - All with just a few clicks! 💡 Try our Cluster Explorer now and experience the future of data analysis! https://lnkd.in/e84rRx3M

Day 18 of GFG POTD Question: - Possible Paths in a Tree Topic: - Tree, Data Structures, union-find

Parquet data format is quantum format. You never know what is inside because whatever tool you use for reading already interprets the data :-D The problem we are dealing with right now is the problem of timestamps and timezones in the data :-)

My most interesting analysis and visualization of 240 stars in my dataset concluded with this plot of each type arranged systematically in a scatterplot from the highest to the lowest each data type with it's specific color choice

Day 12 of GFG POTD Question: - Largest subsquare surrounded by X Topic: - Matrix, Data Structures

Comparing the two clustering methods in #topologicpy : K_Means and DBSCAN. For this dataset, DBSCAN wins hands down and uncovers the three spirals while K_Means mixes points from different spirals., but it all depends on your data and the method parameters.

If you missed our webinar ‘How to optimise your Raman analysis’ then don’t worry, it’s now available on demand! In the webinar you’ll gain the knowledge to collect optimised Raman data so you can tailor your measurements to your specific samples. Our experts guide you through: - Sample preparation - Selecting the right laser wavelength - Choosing the right objective lens - Analysing the right sample areas - Optimising data quality - Data processing - Extracting results with data analysis Watch now: https://bit.ly/3JITiuF Tim Smith Sarah Shidler

When you put your homemade data pipeline into production, and then you try to add a few additional sources. Try Cribl instead: https://lnkd.in/eSTjS4yQ

https://lnkd.in/dRu_XKcN How the tanks that used to create havoc became quite less effective over time. That's the power of data. See this 2.5 minutes presentation #DataScience #dataanalytics

The power of data