Yesterday I had a presentation ‘Data visualization vs. information management’. The core of the presentation were two examples which I present below. The punch line comes down to a simple statement: It is not enough to present data graphically; its presentation must…
https://deepsense.ai/wp-content/uploads/2019/02/Data-visualization-vs.-information-management.jpg3371140Przemyslaw Biecekhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgPrzemyslaw Biecek2015-06-11 07:00:132021-01-05 16:53:46Data visualization vs. information management
I’m forming a group of students and grads interested in data analysis: The MI^2 (square) Group. The name comes from the fact that we have students from MIM University of Warsaw and MINI Warsaw Technical University. We are playing with different projects and ideas…
https://deepsense.ai/wp-content/uploads/2019/02/Is-there-a-limit-to-athletes’-abilities-in-athletic-running-events.jpg3371140Przemyslaw Biecekhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgPrzemyslaw Biecek2015-05-28 06:30:232021-01-05 16:53:51Is there a limit to athletes’ abilities in athletic running events?
I’ve recently worked on an interesting problem. There are two types of mice. We select three animals of each type. We want to examine an effect of given treatment on nerve cells, more specific: on their dendritic spines (small protrusions located at neurons). From…
https://deepsense.ai/wp-content/uploads/2019/02/Mice-post-hoc-tests-and-diffograms.jpg3371140Przemyslaw Biecekhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgPrzemyslaw Biecek2015-05-22 06:30:462021-01-05 16:53:56Mice, post hoc tests and diffograms
The first team’s data analysis marathon took place on last Saturday. Almost 60 participants turned up to take part in it (representing various levels of proficiency in the art of data analysis and different regions of Poland –most were from Warsaw but there were…
In just four days’ time we are going to start a marathon of teams’ data analysis. This time it’s a local Warsaw event, but next time? It’s up to us! Let us sum up what we know about that event.
https://deepsense.ai/wp-content/uploads/2019/02/The-marathon-of-teams’-data-analysis.jpg3371140Przemyslaw Biecekhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgPrzemyslaw Biecek2015-05-06 14:48:272021-01-05 16:54:06The marathon of teams’ data analysis
Last week we tried to find out what is the color of the cars with the highest engine power. It turned out that black and black metallic are most popular colors of the fastest cars. Yet engine power is not all. We still may explore the relation between color and brand.
RECOMB 2015, a conference devoted to computational molecular biology (with emphasis on computational), came to an end yesterday. Many interesting papers were presented, yet this post was inspired by a conversation that I had the pleasure to have during dinner break…
https://deepsense.ai/wp-content/uploads/2019/02/What-color-car-is-the-fastest.jpg3371140Przemyslaw Biecekhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgPrzemyslaw Biecek2015-04-16 06:30:482021-01-05 16:54:15What color car is the fastest?
Two weeks ago we showed how to scrap data from IMDB database with the use of rvest package. Last week we showed a shiny application, that compares ratings from two selected groups of users. Today we are going to finish the IMDB trilogy. This time I am going to show how to create an ggvis plot based on IMDB data.
Last week’s post showed how to download data on ratings of over 200 television series. The rating was broken down by gender and age of the user. The application presented below allows for selection of any two age/gender groups of users and comparison of their ratings…
https://deepsense.ai/wp-content/uploads/2019/02/You-should-not-watch-these-movies-with-your-wife-or-girl.jpg3371140Przemyslaw Biecekhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgPrzemyslaw Biecek2015-03-19 06:30:392021-01-05 16:54:24You should not watch these movies with your wife / girl
Data harvested from the web pages is a source of interesting information. Pulling data used to require quite a lot of resilience and misshapen Perl scripts struggling with messy sources of web pages. Today’s web pages more and more frequently comply meet the standards. There are also more and more civilized tools for parsing websites.
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Data visualization vs. information management
/in Data science /by Przemyslaw BiecekYesterday I had a presentation ‘Data visualization vs. information management’. The core of the presentation were two examples which I present below. The punch line comes down to a simple statement: It is not enough to present data graphically; its presentation must…
Is there a limit to athletes’ abilities in athletic running events?
/in Data science /by Przemyslaw BiecekI’m forming a group of students and grads interested in data analysis: The MI^2 (square) Group. The name comes from the fact that we have students from MIM University of Warsaw and MINI Warsaw Technical University. We are playing with different projects and ideas…
Mice, post hoc tests and diffograms
/in Data science /by Przemyslaw BiecekI’ve recently worked on an interesting problem. There are two types of mice. We select three animals of each type. We want to examine an effect of given treatment on nerve cells, more specific: on their dendritic spines (small protrusions located at neurons). From…
The marathon of teams’ data analysis – wrap-up
/in Data science /by Przemyslaw BiecekThe first team’s data analysis marathon took place on last Saturday. Almost 60 participants turned up to take part in it (representing various levels of proficiency in the art of data analysis and different regions of Poland –most were from Warsaw but there were…
The marathon of teams’ data analysis
/in Data science /by Przemyslaw BiecekIn just four days’ time we are going to start a marathon of teams’ data analysis. This time it’s a local Warsaw event, but next time? It’s up to us! Let us sum up what we know about that event.
Colors of cars
/in Data science /by Przemyslaw BiecekLast week we tried to find out what is the color of the cars with the highest engine power. It turned out that black and black metallic are most popular colors of the fastest cars. Yet engine power is not all. We still may explore the relation between color and brand.
What color car is the fastest?
/in Data science /by Przemyslaw BiecekRECOMB 2015, a conference devoted to computational molecular biology (with emphasis on computational), came to an end yesterday. Many interesting papers were presented, yet this post was inspired by a conversation that I had the pleasure to have during dinner break…
IMDB + ggvis, a happy couple
/in Data science /by Przemyslaw BiecekTwo weeks ago we showed how to scrap data from IMDB database with the use of rvest package. Last week we showed a shiny application, that compares ratings from two selected groups of users. Today we are going to finish the IMDB trilogy. This time I am going to show how to create an ggvis plot based on IMDB data.
You should not watch these movies with your wife / girl
/in Data science /by Przemyslaw BiecekLast week’s post showed how to download data on ratings of over 200 television series. The rating was broken down by gender and age of the user. The application presented below allows for selection of any two age/gender groups of users and comparison of their ratings…
R, rvest and web-harvesting
/in Data science /by Przemyslaw BiecekData harvested from the web pages is a source of interesting information. Pulling data used to require quite a lot of resilience and misshapen Perl scripts struggling with messy sources of web pages. Today’s web pages more and more frequently comply meet the standards. There are also more and more civilized tools for parsing websites.