#dataanalytic — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #dataanalytic, aggregated by home.social.
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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: https://en.wikipedia.org/wiki/Standard_deviation#/media/File:MultivariateNormal.png
Interested in learning further? Check out my online course on Statistical Methods in R. Check out this link for more details: https://statisticsglobe.com/online-course-statistical-methods-r
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Understanding probability distributions is key to making informed decisions in statistics and data science. Probability distributions describe how the values of a variable are expected to behave, making them crucial for interpreting data and predicting outcomes.
The visualization shown in this post illustrates the distributions.
Further details: https://statisticsglobe.com/online-course-statistical-methods-r
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When it comes to learning data science, statistics, and programming, having the right resources is essential.
You can find all links and further descriptions here: https://statisticsglobe.com/statistics-data-science-programming-resources
If you are looking for a structured course that helps you get started with these topics, you may check out my introduction to R programming course. Further details: https://statisticsglobe.com/online-course-r-introduction
#dataviz #dataanalytic #pythondeveloperjobs #visualanalytics #bigdata #rprogramming
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I've put together a comprehensive list of essential R programming functions, featuring 511 (!) tutorials and examples. This can serve as your go-to cheat sheet for mastering R programming!
All tutorials: https://statisticsglobe.com/r-functions-list/
Learn more by visiting this link: https://statisticsglobe.com/online-course-r-introduction
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Did you know that Africa is home to some of the fastest-growing economies in the world? 🌍 The continent's diverse economic landscape presents both immense opportunities and unique challenges. Let’s dive into the economic dynamics across Africa!
I have created an extensive article on this topic for those who want to dive deeper into the GDP comparison across Africa.
Learn more by visiting this link: https://statisticsglobe.com/gdp-africa-comparison
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Understanding the difference between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) can be challenging!
Visualization source: https://en.wikipedia.org/wiki/Deep_learning#/media/File:AI-ML-DL.svg
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Creating publication-ready plots in R is easier than ever with ggpubr. This extension for ggplot2 simplifies the process of generating clean and professional graphics, especially for exploratory data analysis and reporting.
Course link: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
#dataanalytics #rstats #dataanalytic #datavisualization #package #datasciencetraining #visualanalytics #datastructure #tidyverse #ggplot2
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The R programming language is, in my opinion, the best tool for statistical analysis and data visualization.
By enrolling in the course, you’ll receive lifetime access to:
- 20 video lessons on statistical methods & their application in R.
- Exclusive group chat for questions, support, and networking.
- Quizzes, projects, scripts, and additional resources to enhance your skills.Link: https://statisticsglobe.com/online-course-statistical-methods-r
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When building regression models, watch out for significant predictors! 🚨 Sometimes, variables that seem important might lose their significance when the model gets better.
See this link for additional information: https://statisticsglobe.com/webinar-data-analysis-visualization-r
#businessanalyst #dataanalytic #visualanalytics #dataviz #data #bigdata
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Completing another challenge in the course, I built a sales dashboard for a pizzeria. I used SQL for Etl, Figma to create the dashboad background and power bi for the measures and the report.
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Hey, I've created a tutorial on how to add significance levels to a ggplot2 plot using the ggsignif package in the R programming language. The tutorial shows examples for boxplots & barcharts: https://statisticsglobe.com/ggsignif-package-r
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Hey, I've created a tutorial on how to apply the aggregate function in the R programming language: https://statisticsglobe.com/aggregate-function-in-r/
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Hey, I've created an introduction on drawing scatterplots using the R programming language: https://statisticsglobe.com/r-scatterplot-xyplot
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Hey, I've published a tutorial on how to draw an interactive treemap using the plotly package in the Python programming language. The tutorial was created in collaboration with Ifeanyi Idiaye: https://statisticsglobe.com/plotly-treemap-python
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Hey, I've published a tutorial on how to draw an interactive treemap using the plotly package in the Python programming language. The tutorial was created in collaboration with Ifeanyi Idiaye: https://statisticsglobe.com/plotly-treemap-python
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Hey, I've published a tutorial on how to draw an interactive treemap using the plotly package in the Python programming language. The tutorial was created in collaboration with Ifeanyi Idiaye: https://statisticsglobe.com/plotly-treemap-python
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Drawing Histograms is so Simple in Python!
Drawing histograms in Python is so simple. Just import pandas, create a DataFrame and use the plot() function!
#python #pythonlearning #pandas #dataanalytic #coding #dataviz
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Hey, I've created a video tutorial on how to draw multiple boxplots in the same graph using the R programming language. The tutorial shows examples for Base R, ggplot2 & the lattice package: https://m.youtube.com/watch?v=K-GKhyy8KiY&feature=youtu.be
#tidyverse #package #rstats #datavisualization #datascientists #ggplot2 #dataanalytic