mastodon.world is one of the many independent Mastodon servers you can use to participate in the fediverse.
Generic Mastodon server for anyone to use.

Server stats:

8.5K
active users

#advancedanalytics

0 posts0 participants0 posts today

Did you know that India is one of the fastest-growing major economies in the world? 🇮🇳 Meanwhile, the USA remains the largest economy by nominal GDP. 🇺🇸

Both countries face unique challenges but have the potential for continued economic growth.

I have created an extensive article on this topic for those who want to dive deeper into the GDP comparison between the USA and India.

Click this link for detailed information: statisticsglobe.com/gdp-usa-vs

Missing values are a common challenge in data analysis, and properly reporting them is a critical step in understanding your data. By examining the patterns and proportions of missing values, you can assess the potential impact on your analysis and decide how to handle them effectively.

The attached image, created using the VIM package in R, illustrates the proportion of missing values across variables.

More: eepurl.com/gH6myT

I recently discovered the tidyplots package in R, and it’s impressive how effortlessly it enables you to create beautiful, publication-ready plots.

The example visualizations shown here were created by the package author, Jan Broder Engler, and are featured on the tidyplots website: jbengler.github.io/tidyplots/

Click this link for detailed information: statisticsglobe.com/online-cou

Bring your ggplot2 visualizations into 3D with rayshader! This extension adds powerful 3D plotting capabilities to R, making it easy to transform standard visuals into interactive and visually engaging data representations.

The visualizations shown here are taken from the rayshader package website: rayshader.com/

Click this link for detailed information: statisticsglobe.com/online-cou

Standard deviation is one of the most important concepts in statistics, providing a way to measure how spread out data points are around the mean. It helps in understanding data variability, which is critical for interpreting trends and patterns.

Image credit to Wikipedia: en.wikipedia.org/wiki/Standard

Interested in learning further? Check out my online course on Statistical Methods in R. Check out this link for more details: statisticsglobe.com/online-cou

Basic boxplots are often not the best way to visualize your data! They can hide important information, such as the distribution of individual data points or group-specific differences.

The attached visual showcases several ways to enhance boxplots.

All of these examples were created using ggplot2 and extensions in R.

Click this link for detailed information: statisticsglobe.com/online-cou

Multivariate interpolation estimates unknown values based on multiple variables, making it useful in physics, finance, and machine learning. It allows for smoother approximations and more accurate predictions in multidimensional spaces.

Visualization: en.wikipedia.org/wiki/Multivar

Want to expand your knowledge of Statistics, Data Science, R, and Python? Subscribe to my newsletter for more insights! Link: eepurl.com/gH6myT

Combining Principal Component Analysis (PCA) with k-means Clustering in R can significantly enhance your data analysis by reducing dimensionality and improving clustering performance.

Check out my article created with Cansu Kebabci: statisticsglobe.com/pca-before

I've also created a video: youtube.com/watch?v=nzhSjOKSGC8

Furthermore, I offer an extensive online course on PCA: statisticsglobe.com/online-cou

Principal Component Analysis (PCA) before Linear Regression can greatly enhance your data analysis process.

By incorporating PCA before performing linear regression, you can streamline your analysis pipeline and build more robust models that capture the essential relationships within your data.

I've developed an in-depth course on PCA theory and its application in R programming.

Further details: statisticsglobe.com/online-cou

Heterogeneous Treatment Effects (HTE) are a game-changer in A/B testing that often gets overlooked.

The visualization recently shared by Leihua Ye highlights that some segments of users, like the top and bottom 5%, might show vastly different outcomes.

For regular updates on data science, statistics, Python, and R programming, subscribe to my free email newsletter! Check out this link for more details: eepurl.com/gH6myT

Did you know that the top 10 economies in the world together account for over two-thirds of the global GDP? 🌍 These countries play a pivotal role in shaping the global economic landscape.

I have created an extensive article on this topic for those who want to dive deeper into the GDP comparison among the top 10 economies. More information: statisticsglobe.com/gdp-worldw

Unlock insights with Amazon QuickSight! This powerful analytics tool empowers businesses to visualize and understand their data better. With interactive dashboards and real-time data analysis, QuickSight enables informed decision-making and drives business growth. Experience the benefits of advanced analytics with QuickSight today! allcode.com/allcode-an-amazon-

allcode.comAmazon QuickSight Business Intelligence Partner | AllCodeAllCode is an Amazon QuickSight and will help you implement QuickSight to make the most of Business Intelligence on AWS.