[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @JoachimSchork Joachim Schork Joachim Schork posts on X about represent, relationships, plotting, ai the most. They currently have XXXXXX followers and XXX posts still getting attention that total XXXXX engagements in the last XX hours. ### Engagements: XXXXX [#](/creator/twitter::1026075110569070593/interactions)  - X Week XXXXXX -XX% - X Month XXXXXXX +7.60% - X Months XXXXXXX -XXXX% - X Year XXXXXXXXX -XXXX% ### Mentions: X [#](/creator/twitter::1026075110569070593/posts_active)  - X Week X -XX% - X Month XX -XX% - X Months XXX +52% - X Year XXX +148% ### Followers: XXXXXX [#](/creator/twitter::1026075110569070593/followers)  - X Week XXXXXX +0.79% - X Month XXXXXX +2.70% - X Months XXXXXX +18% - X Year XXXXXX +53% ### CreatorRank: XXXXXXX [#](/creator/twitter::1026075110569070593/influencer_rank)  ### Social Influence **Social topic influence** [represent](/topic/represent) #505, [relationships](/topic/relationships), [plotting](/topic/plotting) #12, [ai](/topic/ai), [artificial intelligence](/topic/artificial-intelligence), [ben](/topic/ben), [finance](/topic/finance), [future](/topic/future), [events](/topic/events) **Top accounts mentioned or mentioned by** [@cansusg](/creator/undefined) [@yohaniddawela](/creator/undefined) [@awolwer](/creator/undefined) [@milosmakesmaps](/creator/undefined) [@kyleewalker](/creator/undefined) [@akshaypachaar](/creator/undefined) [@rgraphgallery](/creator/undefined) [@geostatsguy](/creator/undefined) [@tangming2005](/creator/undefined) [@rmarkdown](/creator/undefined) [@rappa753](/creator/undefined) [@mwkkhan1](/creator/undefined) [@jakubnowosad](/creator/undefined) [@martijntennekes](/creator/undefined) [@professorakston](/creator/undefined) [@soboleffspaces](/creator/undefined) [@josepmgarcia75](/creator/undefined) [@chiadikobiozor](/creator/undefined) [@hendrikjurges](/creator/undefined) [@omdatascience](/creator/undefined) ### Top Social Posts Top posts by engagements in the last XX hours "Understanding the difference between Artificial Intelligence (AI) Machine Learning (ML) and Deep Learning (DL) can be challenging. These terms are often used interchangeably but they represent distinct concepts. AI is the broadest category encompassing any system designed to mimic human intelligence. ML is a subset of AI that enables systems to learn from data while DL is a specialized part of ML that focuses on neural networks. 🔹 AI covers everything from simple rule-based systems to advanced models that reason make decisions and learn. It powers smart assistants chatbots and autonomous" [X Link](https://x.com/JoachimSchork/status/1994950268945846401) 2025-11-30T02:03Z 21K followers, 18K engagements "Spearman's rank correlation coefficient is a non-parametric measure that assesses how well the relationship between two variables can be described using a monotonic function. Unlike Pearsons correlation which assumes a linear relationship Spearman's method is more flexible and can handle non-linear correlations. ✔ Versatility: Spearman's coefficient is ideal for identifying relationships in data sets where variables are not linearly related but still show a consistent trend. ✔ Robustness: It is less sensitive to outliers making it more reliable in scenarios where extreme values might distort" [X Link](https://x.com/JoachimSchork/status/1996224416397578289) 2025-12-03T14:26Z 21K followers, 4275 engagements "Visualize Likert-type survey data with ease using ggstats and its gglikert() function. Whether you're analyzing responses to survey questions or exploring patterns in attitudes and opinions gglikert() provides a clear and effective way to represent Likert-scale data in R. Why use gglikert() ✔ Tailored for Likert data: Specifically designed to handle Likert-type items ensuring a structured and interpretable visualization. ✔ Detailed insights: Displays distributions of responses making it easier to understand trends and group differences. ✔ Customizable plots: Leverages ggplot2s flexibility to" [X Link](https://x.com/JoachimSchork/status/1997673967818035322) 2025-12-07T14:26Z 21K followers, 9500 engagements "Ever wondered how to visualize data sets like a pro in Python I've got you covered with a comprehensive tutorial on drawing pandas DataFrame columns in different plot types using the Matplotlib library. Heres what well explore: ✅ Plotting Basics: Dive into the fundamentals of plotting with pandas and understand why its crucial for data analysis. ✅ Line Plots: Discover how to showcase trends and patterns in your data effortlessly. ✅ Bar Plots: Learn how to compare different categories within your dataset using bar plots. ✅ Histograms: Explore data distribution and identify outliers with" [X Link](https://x.com/JoachimSchork/status/1997849368750109075) 2025-12-08T02:03Z 21K followers, 2813 engagements "Check out this R Shiny App by Ben Rottman designed to explore causality and regression: This tool helps you understand possible relationships between variables including noise confusion alternative effects mediation and interaction/moderation. A very nice tool for anyone looking to deepen their analysis skills The app is part of a larger open source Research Methods for the social sciences (osRMss) course: and in particular it is part of this module: Big thanks to Ben Rottman for creating these invaluable resources. You might also enjoy my free newsletter where I regularly post insights and" [X Link](https://x.com/JoachimSchork/status/1995137248862335308) 2025-11-30T14:26Z 21K followers, 14.1K engagements "The Kruskal-Wallis test is a non-parametric method used to determine if there are statistically significant differences in the distributions of three or more independent groups based on ranks. Unlike ANOVA it does not assume that residuals are normally distributed making it more flexible for analyzing data sets that do not meet this assumption. Advantages of Proper Use: ✔ Suitable for ordinal data or data sets where the normality assumption in residuals is not met. ✔ Does not assume homogeneity of variance offering more flexibility. ✔ Can be used with small sample sizes increasing its" [X Link](https://x.com/JoachimSchork/status/1995675042424799565) 2025-12-02T02:03Z 21K followers, 35.9K engagements "Time series analysis is a method used to analyze data points collected or recorded at specific time intervals. It helps identify trends patterns and fluctuations making it invaluable for forecasting and decision-making in various fields like finance healthcare and marketing. When handled properly time series analysis can: ✔ Help forecast future events such as stock prices or weather patterns leading to better planning. ✔ Reveal hidden patterns such as seasonality or cyclical behavior enabling more informed decision-making. ✔ Improve resource allocation by predicting demand or trends" [X Link](https://x.com/JoachimSchork/status/1996675132941627691) 2025-12-04T20:17Z 21K followers, 2563 engagements "Manually writing plotting code can slow down your workflow especially during quick data exploration. PlotAI lets you generate visualizations by simply describing them in natural language. PlotAI is a Python library developed by MLJAR that uses OpenAIs language models to turn simple text instructions into working visualization code. Whether you need a histogram scatter plot or boxplot just describe what you want and get the corresponding matplotlib code. It is especially helpful during early data exploration when you're testing ideas trying different views of your data or want to avoid writing" [X Link](https://x.com/JoachimSchork/status/1998036362746834966) 2025-12-08T14:26Z 21K followers, 5303 engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
@JoachimSchork Joachim Schork
Joachim Schork posts on X about represent, relationships, plotting, ai the most. They currently have XXXXXX followers and XXX posts still getting attention that total XXXXX engagements in the last XX hours.
Engagements: XXXXX #
- X Week XXXXXX -XX%
- X Month XXXXXXX +7.60%
- X Months XXXXXXX -XXXX%
- X Year XXXXXXXXX -XXXX%
Mentions: X #
- X Week X -XX%
- X Month XX -XX%
- X Months XXX +52%
- X Year XXX +148%
Followers: XXXXXX #
- X Week XXXXXX +0.79%
- X Month XXXXXX +2.70%
- X Months XXXXXX +18%
- X Year XXXXXX +53%
CreatorRank: XXXXXXX #
Social Influence
Social topic influence represent #505, relationships, plotting #12, ai, artificial intelligence, ben, finance, future, events
Top accounts mentioned or mentioned by @cansusg @yohaniddawela @awolwer @milosmakesmaps @kyleewalker @akshaypachaar @rgraphgallery @geostatsguy @tangming2005 @rmarkdown @rappa753 @mwkkhan1 @jakubnowosad @martijntennekes @professorakston @soboleffspaces @josepmgarcia75 @chiadikobiozor @hendrikjurges @omdatascience
Top Social Posts
Top posts by engagements in the last XX hours
"Understanding the difference between Artificial Intelligence (AI) Machine Learning (ML) and Deep Learning (DL) can be challenging. These terms are often used interchangeably but they represent distinct concepts. AI is the broadest category encompassing any system designed to mimic human intelligence. ML is a subset of AI that enables systems to learn from data while DL is a specialized part of ML that focuses on neural networks. 🔹 AI covers everything from simple rule-based systems to advanced models that reason make decisions and learn. It powers smart assistants chatbots and autonomous"
X Link 2025-11-30T02:03Z 21K followers, 18K engagements
"Spearman's rank correlation coefficient is a non-parametric measure that assesses how well the relationship between two variables can be described using a monotonic function. Unlike Pearsons correlation which assumes a linear relationship Spearman's method is more flexible and can handle non-linear correlations. ✔ Versatility: Spearman's coefficient is ideal for identifying relationships in data sets where variables are not linearly related but still show a consistent trend. ✔ Robustness: It is less sensitive to outliers making it more reliable in scenarios where extreme values might distort"
X Link 2025-12-03T14:26Z 21K followers, 4275 engagements
"Visualize Likert-type survey data with ease using ggstats and its gglikert() function. Whether you're analyzing responses to survey questions or exploring patterns in attitudes and opinions gglikert() provides a clear and effective way to represent Likert-scale data in R. Why use gglikert() ✔ Tailored for Likert data: Specifically designed to handle Likert-type items ensuring a structured and interpretable visualization. ✔ Detailed insights: Displays distributions of responses making it easier to understand trends and group differences. ✔ Customizable plots: Leverages ggplot2s flexibility to"
X Link 2025-12-07T14:26Z 21K followers, 9500 engagements
"Ever wondered how to visualize data sets like a pro in Python I've got you covered with a comprehensive tutorial on drawing pandas DataFrame columns in different plot types using the Matplotlib library. Heres what well explore: ✅ Plotting Basics: Dive into the fundamentals of plotting with pandas and understand why its crucial for data analysis. ✅ Line Plots: Discover how to showcase trends and patterns in your data effortlessly. ✅ Bar Plots: Learn how to compare different categories within your dataset using bar plots. ✅ Histograms: Explore data distribution and identify outliers with"
X Link 2025-12-08T02:03Z 21K followers, 2813 engagements
"Check out this R Shiny App by Ben Rottman designed to explore causality and regression: This tool helps you understand possible relationships between variables including noise confusion alternative effects mediation and interaction/moderation. A very nice tool for anyone looking to deepen their analysis skills The app is part of a larger open source Research Methods for the social sciences (osRMss) course: and in particular it is part of this module: Big thanks to Ben Rottman for creating these invaluable resources. You might also enjoy my free newsletter where I regularly post insights and"
X Link 2025-11-30T14:26Z 21K followers, 14.1K engagements
"The Kruskal-Wallis test is a non-parametric method used to determine if there are statistically significant differences in the distributions of three or more independent groups based on ranks. Unlike ANOVA it does not assume that residuals are normally distributed making it more flexible for analyzing data sets that do not meet this assumption. Advantages of Proper Use: ✔ Suitable for ordinal data or data sets where the normality assumption in residuals is not met. ✔ Does not assume homogeneity of variance offering more flexibility. ✔ Can be used with small sample sizes increasing its"
X Link 2025-12-02T02:03Z 21K followers, 35.9K engagements
"Time series analysis is a method used to analyze data points collected or recorded at specific time intervals. It helps identify trends patterns and fluctuations making it invaluable for forecasting and decision-making in various fields like finance healthcare and marketing. When handled properly time series analysis can: ✔ Help forecast future events such as stock prices or weather patterns leading to better planning. ✔ Reveal hidden patterns such as seasonality or cyclical behavior enabling more informed decision-making. ✔ Improve resource allocation by predicting demand or trends"
X Link 2025-12-04T20:17Z 21K followers, 2563 engagements
"Manually writing plotting code can slow down your workflow especially during quick data exploration. PlotAI lets you generate visualizations by simply describing them in natural language. PlotAI is a Python library developed by MLJAR that uses OpenAIs language models to turn simple text instructions into working visualization code. Whether you need a histogram scatter plot or boxplot just describe what you want and get the corresponding matplotlib code. It is especially helpful during early data exploration when you're testing ideas trying different views of your data or want to avoid writing"
X Link 2025-12-08T14:26Z 21K followers, 5303 engagements