histograms 48
Plotting distriubtions
3 days ago by nelson
Alternatives to histograms
statistics
visualization
graphs
histograms
3 days ago by nelson
Histograms and Scatter Matrix
17 days ago by desaprobado
I added histograms to diagonals of the plot generated by pandas.tools.plotting.scatter_matrix function. The code used to generate this plot is presented below: import numpy as np import matplotlib.pyplot as plt import pandas df = pandas.DataFrame(np.random.randn(1000, 4), columns=['a', 'b', 'c', 'd']) pandas.tools.plotting.scatter_matrix(df, alpha=0.2) plt.show()
python
numpy
pandas
data
histograms
correlation
17 days ago by desaprobado
Retro-Histo: making an image fit your histogram! | Josh Millard . com
january 2012 by melorama
Josh Millard creates working software to create the "Histogram as Image" idea from the Ironic Sans post
image.processing
image.manipulation
photoshop
histograms
steganography
awesome
design
art
photography
from delicious
january 2012 by melorama
[1110.1462] Dynamic Clustering of Histogram Data Based on Adaptive Squared Wasserstein Distances
october 2011 by Vaguery
"…To cluster sets of histogram data, we propose to use Dynamic Clustering Algorithm, (based on adaptive squared Wasserstein distances) that is a k-means-like algorithm for clustering a set of individuals into K classes that are apriori fixed. The main aim of this research is to provide a tool for clustering histograms, emphasizing the different contributions of the histogram variables, and their components, to the definition of the clusters. We demonstrate that this can be achieved using adaptive distances.
Two kind of adaptive distances are considered: the first takes into account the variability of each component of each descriptor for the whole set of individuals; the second takes into account the variability of each component of each descriptor in each cluster. We furnish interpretative tools of the obtained partition based on an extension of the classical measures (indexes) to the use of adaptive distances in the clustering criterion function. Applications on synthetic and real-world data corroborate the proposed procedure."
classification
statistics
histograms
metrics
clustering
Two kind of adaptive distances are considered: the first takes into account the variability of each component of each descriptor for the whole set of individuals; the second takes into account the variability of each component of each descriptor in each cluster. We furnish interpretative tools of the obtained partition based on an extension of the classical measures (indexes) to the use of adaptive distances in the clustering criterion function. Applications on synthetic and real-world data corroborate the proposed procedure."
october 2011 by Vaguery
CIRCONUS the Blog
august 2011 by andydavies
What have I been doing? Making this sort of stuff point-n-click easy. (/winks @jrauser). #histograms #realtime #WPO
WPO
histograms
realtime
from twitter_favs
august 2011 by andydavies
401: Kepler: Earth-like planets by the score! - PDF
march 2011 by SPACE_MATH
Students use recent Kepler satellite data to estimate the number of Earth-like planets in the Milky Way galaxy.
06-08
percentages
histograms
re-scaling-sample-sizes
march 2011 by SPACE_MATH
Lessons Learned - 2: Histograms - Anything or more and less
november 2010 by Knusper2000
After I’ve covered basic plotting using matplotlib in this part I’ll show you two ways to display histograms of some data.
plotting
python
work
histograms
data
visualization
programming
opensource
november 2010 by Knusper2000
120 Benford's Law - PDF
may 2010 by SPACE_MATH
Students will explore a relationship called Benford's Law, which describes the frequency of the integers 1-9 in various data. This law is used by the IRS to catch fradulent tax returns, but also applies to astronomical data and other surprising situations.
08-10
calculating-frequency-tables
histograms
statistics
may 2010 by SPACE_MATH
327: WISE: Exploring Power-law Functions Using WISE Data - PDF
april 2010 by SPACE_MATH
Based on a recent press release of the 'First Light' image taken with NASA's new WISE satellite, students explore a practical application of a power law function to count the number of stars in the sky. An additional calculus-level problem is included for advanced students.
10-12
area
functions
histograms
unit-conversions
power-law
integration
april 2010 by SPACE_MATH
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