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#datavisualization — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #datavisualization, aggregated by home.social.

  1. Salut, je cherche à amélioré cette vue 3D de données. Mon but ça serait de rassembler les points, les relier en une seule forme. Pour donner l’idée j’ai dessiné sur le graphique.

    Pour le faire j’ai utilisé #python et #matplotlib mais si c’est possible avec d’autre outil je suis prenneur aussi.

    Comment vous feriez ça ? Quel outil ?
    ( #boost apprécié :) )
    #dataviz #datavisualization #datascience

  2. Salut, je cherche à amélioré cette vue 3D de données. Mon but ça serait de rassembler les points, les relier en une seule forme. Pour donner l’idée j’ai dessiné sur le graphique.

    Pour le faire j’ai utilisé #python et #matplotlib mais si c’est possible avec d’autre outil je suis prenneur aussi.

    Comment vous feriez ça ? Quel outil ?
    ( #boost apprécié :) )
    #dataviz #datavisualization #datascience

  3. Salut, je cherche à amélioré cette vue 3D de données. Mon but ça serait de rassembler les points, les relier en une seule forme. Pour donner l’idée j’ai dessiné sur le graphique.

    Pour le faire j’ai utilisé #python et #matplotlib mais si c’est possible avec d’autre outil je suis prenneur aussi.

    Comment vous feriez ça ? Quel outil ?
    ( #boost apprécié :) )
    #dataviz #datavisualization #datascience

  4. Salut, je cherche à amélioré cette vue 3D de données. Mon but ça serait de rassembler les points, les relier en une seule forme. Pour donner l’idée j’ai dessiné sur le graphique.

    Pour le faire j’ai utilisé #python et #matplotlib mais si c’est possible avec d’autre outil je suis prenneur aussi.

    Comment vous feriez ça ? Quel outil ?
    ( #boost apprécié :) )
    #dataviz #datavisualization #datascience

  5. Salut, je cherche à amélioré cette vue 3D de données. Mon but ça serait de rassembler les points, les relier en une seule forme. Pour donner l’idée j’ai dessiné sur le graphique.

    Pour le faire j’ai utilisé #python et #matplotlib mais si c’est possible avec d’autre outil je suis prenneur aussi.

    Comment vous feriez ça ? Quel outil ?
    ( #boost apprécié :) )
    #dataviz #datavisualization #datascience

  6. is there a tool which would let me generate plots/charts and make a portable html page containing all the CSS, JS, SVG and data so that I could send one file and let the recipient explore it conveniently?

  7. is there a #dataVisualization tool which would let me generate plots/charts and make a portable html page containing all the CSS, JS, SVG and data so that I could send one file and let the recipient explore it conveniently?

  8. is there a #dataVisualization tool which would let me generate plots/charts and make a portable html page containing all the CSS, JS, SVG and data so that I could send one file and let the recipient explore it conveniently?

  9. is there a #dataVisualization tool which would let me generate plots/charts and make a portable html page containing all the CSS, JS, SVG and data so that I could send one file and let the recipient explore it conveniently?

  10. is there a #dataVisualization tool which would let me generate plots/charts and make a portable html page containing all the CSS, JS, SVG and data so that I could send one file and let the recipient explore it conveniently?

  11. How Can We Prevent AI Models From Cannibalizing Themselves When Human-Generated Data Runs Out? 

    Getty Images While the evolution of artificial intelligence (AI) systems has shown no sign of slowing, there's a growing concern that large language models (LLMs) will soon run out of human-made data to ingest and learn from. Once this happens, scientists say, AI models will increasingly rely on synthetic AI-made information, which will lead to an effect called "model collapse."......Continue reading... By:  Roland Moore-Colyer Source:  Live Science . Critics: A backdoor in a […]

    onlinemarketingscoops.com/2026

  12. How Can We Prevent AI Models From Cannibalizing Themselves When Human-Generated Data Runs Out? 

    Getty Images While the evolution of artificial intelligence (AI) systems has shown no sign of slowing, there's a growing concern that large language models (LLMs) will soon run out of human-made data to ingest and learn from. Once this happens, scientists say, AI models will increasingly rely on synthetic AI-made information, which will lead to an effect called "model collapse."......Continue reading... By:  Roland Moore-Colyer Source:  Live Science . Critics: A backdoor in a […]

    onlinemarketingscoops.com/2026

  13. How Can We Prevent AI Models From Cannibalizing Themselves When Human-Generated Data Runs Out? 

    Getty Images While the evolution of artificial intelligence (AI) systems has shown no sign of slowing, there's a growing concern that large language models (LLMs) will soon run out of human-made data to ingest and learn from. Once this happens, scientists say, AI models will increasingly rely on synthetic AI-made information, which will lead to an effect called "model collapse."......Continue reading... By:  Roland Moore-Colyer Source:  Live Science . Critics: A backdoor in a […]

    onlinemarketingscoops.com/2026

  14. How Can We Prevent AI Models From Cannibalizing Themselves When Human-Generated Data Runs Out? 

    Getty Images While the evolution of artificial intelligence (AI) systems has shown no sign of slowing, there's a growing concern that large language models (LLMs) will soon run out of human-made data to ingest and learn from. Once this happens, scientists say, AI models will increasingly rely on synthetic AI-made information, which will lead to an effect called "model collapse."......Continue reading... By:  Roland Moore-Colyer Source:  Live Science . Critics: A backdoor in a […]

    onlinemarketingscoops.com/2026

  15. How Can We Prevent AI Models From Cannibalizing Themselves When Human-Generated Data Runs Out? 

    Getty Images While the evolution of artificial intelligence (AI) systems has shown no sign of slowing, there's a growing concern that large language models (LLMs) will soon run out of human-made data to ingest and learn from. Once this happens, scientists say, AI models will increasingly rely on synthetic AI-made information, which will lead to an effect called "model collapse."......Continue reading... By:  Roland Moore-Colyer Source:  Live Science . Critics: A backdoor in a […]

    onlinemarketingscoops.com/2026

  16. Ho iniziato a costruire una dashboard di astrometria in Home Assistant per osservare il cielo direttamente dal salotto. Prima tappa: il Sistema Terra-Luna. Con API NASA, sensori di fase lunare e immagini dinamiche, la Luna non è mai stata così vicina. Progetto divulgativo, certo, ma spero utile per gli appassionati di cielo e stelle.

    #HomeAssistant #Astrometria #Astrofotografia #domotica #DataVisualization

    gabrielebaldassarre.com/home-a

  17. We're excited to announce that Stamen founder and CEO Eric Rodenbeck will be the keynote speaker at the #DataVisualizationSociety's #Outlier2026 conference next month!

    The conference is fully virtual this year. Register here! → buff.ly/prLR72t

    #dataviz #DataVisualization

  18. We're excited to announce that Stamen founder and CEO Eric Rodenbeck will be the keynote speaker at the #DataVisualizationSociety's #Outlier2026 conference next month!

    The conference is fully virtual this year. Register here! → buff.ly/prLR72t

    #dataviz #DataVisualization

  19. We're excited to announce that Stamen founder and CEO Eric Rodenbeck will be the keynote speaker at the #DataVisualizationSociety's #Outlier2026 conference next month!

    The conference is fully virtual this year. Register here! → buff.ly/prLR72t

    #dataviz #DataVisualization

  20. We're excited to announce that Stamen founder and CEO Eric Rodenbeck will be the keynote speaker at the #DataVisualizationSociety's #Outlier2026 conference next month!

    The conference is fully virtual this year. Register here! → buff.ly/prLR72t

    #dataviz #DataVisualization

  21. We're excited to announce that Stamen founder and CEO Eric Rodenbeck will be the keynote speaker at the #DataVisualizationSociety's #Outlier2026 conference next month!

    The conference is fully virtual this year. Register here! → buff.ly/prLR72t

    #dataviz #DataVisualization

  22. The "Grammar of Graphics" is a powerful concept that ggplot2 in R is built on. It breaks down the process of data visualization into layers.

    More info in a recent Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #datascience #statistics #ggplot2 #datavisualization #statisticsglobehub

  23. The "Grammar of Graphics" is a powerful concept that ggplot2 in R is built on. It breaks down the process of data visualization into layers.

    More info in a recent Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #datascience #statistics #ggplot2 #datavisualization #statisticsglobehub

  24. The "Grammar of Graphics" is a powerful concept that ggplot2 in R is built on. It breaks down the process of data visualization into layers.

    More info in a recent Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #datascience #statistics #ggplot2 #datavisualization #statisticsglobehub

  25. The "Grammar of Graphics" is a powerful concept that ggplot2 in R is built on. It breaks down the process of data visualization into layers.

    More info in a recent Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #datascience #statistics #ggplot2 #datavisualization #statisticsglobehub

  26. The "Grammar of Graphics" is a powerful concept that ggplot2 in R is built on. It breaks down the process of data visualization into layers.

    More info in a recent Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #datascience #statistics #ggplot2 #datavisualization #statisticsglobehub

  27. Taiwan’s climate is far more diverse than many people realize.
    Temperate lowlands, tropical south, and even tundra conditions in the highest mountains, all on one island.

    #Taiwan #Geography #Climate #Maps #datavisualization

  28. Taiwan’s climate is far more diverse than many people realize.
    Temperate lowlands, tropical south, and even tundra conditions in the highest mountains, all on one island.

    #Taiwan #Geography #Climate #Maps #datavisualization

  29. Taiwan’s climate is far more diverse than many people realize.
    Temperate lowlands, tropical south, and even tundra conditions in the highest mountains, all on one island.

    #Taiwan #Geography #Climate #Maps #datavisualization

  30. Taiwan’s climate is far more diverse than many people realize.
    Temperate lowlands, tropical south, and even tundra conditions in the highest mountains, all on one island.

    #Taiwan #Geography #Climate #Maps #datavisualization

  31. Taiwan’s climate is far more diverse than many people realize.
    Temperate lowlands, tropical south, and even tundra conditions in the highest mountains, all on one island.

    #Taiwan #Geography #Climate #Maps #datavisualization

  32. 've been working on my Arkansas food security dashboard in Tableau Public, and I wanted to show off some striking data.

    a.) A correlation between not having a HS Diploma/GED and unemployment data per county.
    b.) Obesity in Arkansas with ethnicity data included.
    c.) Data on the amount of people experiencing poverty across the general public, children, and the elderly.

    #gis #datavisualization #incomeinequality #poverty #arkansas #tableau #tableaupublic #data #dataanalysis

  33. 've been working on my Arkansas food security dashboard in Tableau Public, and I wanted to show off some striking data.

    a.) A correlation between not having a HS Diploma/GED and unemployment data per county.
    b.) Obesity in Arkansas with ethnicity data included.
    c.) Data on the amount of people experiencing poverty across the general public, children, and the elderly.

    #gis #datavisualization #incomeinequality #poverty #arkansas #tableau #tableaupublic #data #dataanalysis

  34. 've been working on my Arkansas food security dashboard in Tableau Public, and I wanted to show off some striking data.

    a.) A correlation between not having a HS Diploma/GED and unemployment data per county.
    b.) Obesity in Arkansas with ethnicity data included.
    c.) Data on the amount of people experiencing poverty across the general public, children, and the elderly.

    #gis #datavisualization #incomeinequality #poverty #arkansas #tableau #tableaupublic #data #dataanalysis

  35. 've been working on my Arkansas food security dashboard in Tableau Public, and I wanted to show off some striking data.

    a.) A correlation between not having a HS Diploma/GED and unemployment data per county.
    b.) Obesity in Arkansas with ethnicity data included.
    c.) Data on the amount of people experiencing poverty across the general public, children, and the elderly.

    #gis #datavisualization #incomeinequality #poverty #arkansas #tableau #tableaupublic #data #dataanalysis

  36. Confounder variables can distort the relationship between two variables and lead to misleading conclusions if they are not properly accounted for.

    Learn more in a recent Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #statistics #datascience #datavisualization #regression #analytics

  37. Confounder variables can distort the relationship between two variables and lead to misleading conclusions if they are not properly accounted for.

    Learn more in a recent Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #statistics #datascience #datavisualization #regression #analytics

  38. Confounder variables can distort the relationship between two variables and lead to misleading conclusions if they are not properly accounted for.

    Learn more in a recent Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #statistics #datascience #datavisualization #regression #analytics

  39. Confounder variables can distort the relationship between two variables and lead to misleading conclusions if they are not properly accounted for.

    Learn more in a recent Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #statistics #datascience #datavisualization #regression #analytics

  40. Confounder variables can distort the relationship between two variables and lead to misleading conclusions if they are not properly accounted for.

    Learn more in a recent Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #statistics #datascience #datavisualization #regression #analytics