Filtergraph: A fast, flexible and sharable service for visualization in big data science (Data Visualization Summit Boston 2013)
•Descargar como PPTX, PDF•
1 recomendación•705 vistas
My talk from the Data Visualization Summit in Boston on September 12, 2013. This talk will explore Filtergraph, a web application being developed by Vanderbilt’s Initiative in Data-Intensive Astrophysics to conduct rapid and intuitive visualization of large multi-dimensional datasets. Filtergraph has been designed with an understanding of the cognitive workflow in big-data exploration, enabling users to quickly, easily, and intuitively delve into massive datasets and quickly find emergent patterns in the data. While Filtergraph was designed for astronomy research projects at Vanderbilt, including searches for extrasolar planets from databases involving millions of stars, Filtergraph has broad potential for generating flexible, colorful and interactive data-visualization portals using a wide variety of data sources. Currently, Filtergraph has more than 100 users in 20 countries. Filtergraph is freely available at http://filtergraph.vanderbilt.edu/.
Recomendados
Recomendados
Más contenido relacionado
Destacado
Similar a Filtergraph: A fast, flexible and sharable service for visualization in big data science (Data Visualization Summit Boston 2013)
Similar a Filtergraph: A fast, flexible and sharable service for visualization in big data science (Data Visualization Summit Boston 2013) (20)
Último
Último (20)
Filtergraph: A fast, flexible and sharable service for visualization in big data science (Data Visualization Summit Boston 2013)
- 1. A fast, flexible and sharable service for visualization in big data science Dan Burger Web Application Developer Vanderbilt University, Nashville, TN USA Twitter: @danburger dan.burger@vanderbilt.edu
- 2. my.vanderbilt.edu/keltsouth, web.mit.edu/newsoffice/2011/tess-nasa-award.html KELT TESS Transiting Exoplanet Survey Satellite Kilodegree Extremely Little Telescope
- 3. • Large amounts of data – Tens of columns – Millions of rows • Need for exploratory data analysis – Bad data, missing data, categories, biases, relationships, patterns
- 6. Five years of earthquake data
- 9. Title and description Filters Graph control Save and share Interactive plot
- 11. Click and drag to zoom in
- 13. Click to get more information
- 15. Spin around
- 25. New Message To: My colleagues Check out this data file! I hope this goes through... Large file (73 MB)
- 26. New Message To: My colleagues http://filtergraph.vanderbilt.edu/myfile It was so easy!
- 28. No plugins or software needed!
- 30. gnuplot and more... web2py.com, numpy.org, gnuplot.info, graphicsmagic.org
- 35. Thanks to: Keivan Stassun Rob Siverd Joshua Pepper Rachel-Chloe Gibbs Nathan Meyer Manodeep Sinha Martin Paegert Nathan De Lee Phillip Cargile Alyce Dobyns-Ladd Vanderbilt Initiative in Data-intensive Astrophysics NASA ADAP grant Images on slide 4 from Hipparcos data: http://filtergraph.vanderbilt.edu/hiptest
Notas del editor
- Good afternoon, my name is Dan Burger and I am a web application developer with the department of physics and astronomy at Vanderbilt University. Today I am going to talk about Filtergraph, a fast, flexible and sharable service for visualization in big data science. I started on this project as part of my master’s thesis research and now I manage it as a full-time staff member.
- For centuries people have looked into the skies and wondered if there are worlds out there similar to our own. In recent years we have built the technology to detect planets outside of our solar system, and I work with various collaborations that help find them.On the left is TESS, a collaboration between NASA and MIT with funding from Google that will launch into space around 2017 and look for exoplanets throughout the night sky.On the right is KELT South, a telescope owned by Vanderbilt and operated in South Africa. It has a twin, KELT North, which is owned by Ohio State and operated in Arizona. These telescopes are also designed to scout out for exoplanets.
- Filtergraph can produce three types of output: scatter plots, histograms and tables. The three variables shown here are the X-axis, Y-axis and color axis for the scatter plot. If I wanted to, I could add a fourth axis for the size of each point and a fifth axis to produce three-dimensional scatter plots.What if I wanted to only display some of the data? Well first, I could click on the green section here and enter in some criteria. The points will only show up if it meets the criteria. Another way is that I could click here and set the minimum and maximum bounds for the axis. The third way is perhaps the most fun...
- I can click and drag on the graph to zoom in.
- On that note I can also click on a point to get more information about that particular point.
- Here is a three dimensional scatter plot. For clarity I set the color and the z-axis to the same variable. With these controls I can spin it around.
- Setting the axis can be done with an editable combo box. As I start typing, some of these labels will disappear, leaving only the ones that match what I typed. These labels can also include a description.
- Setting the axis can be done with an editable combo box. As I start typing, some of these labels will disappear, leaving only the ones that match what I typed. These labels can also include a description.
- Setting the axis can be done with an editable combo box. As I start typing, some of these labels will disappear, leaving only the ones that match what I typed. These labels can also include a description.
- Here is a scatter plot of earthquakes in the Caribbean. With so many points it is hard to tell where they overlap.
- This is where the histogram views become useful. Here we can see that
- Filtergraph can also produce various types of histograms. Here is a one-dimensional histogram. The y-axis is the frequency of each bin.
- We can transform this to a surface map. This can be viewed from different angles as well.
- Finally, here is a table. The table can be sorted and exported to various file formats.
- Filtergraph also provides code so that you can easily embed portals on a web page.