waylon/pyDataVizDay
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Added Suresh's Exploritory Page

Browse source
This commit is contained in:
Walker Waylon Scott 2017-07-31 11:23:06 -05:00
parent 1af0763f2b
commit e55b144771
3 changed files with 5639 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

5
src/pyDataVizDay.py
View file

@ -102,8 +102,9 @@ def enthusiast():
@app.route('/Exploritory') @app.route('/Exploritory')
def exploritory(): def exploritory():
notebook = render_template('Exploritory_nb.html') title = render_template('Exploratory_Charts-Movie_Data-Latest_title.html')
return render_template('Exploritory.html', body=notebook) notebook = render_template('Exploratory_Charts-Movie_Data-Latest.html')
return render_template('Exploritory.html', body=title + notebook)
@app.route('/slides') @app.route('/slides')
def slides(): def slides():

5633
src/templates/Exploratory_Charts-Movie_Data-Latest.html Normal file
View file

File diff suppressed because it is too large Load diff

3
src/templates/Exploratory_Charts-Movie_Data-Latest_title.html Normal file
View file

@ -0,0 +1,3 @@
<br>
<h2> Exploritory Analysis in Python </h2>
This page is a guest post by Suresh Aluru, created directly from a jupyter notebook. This is a very powerful form of data visualization in python.It allows the user a platform for quick and easy iterations. While exploring a dataset the plots and tables instantly come to life, withoutre-running the entire script. It eliminates the need to setup any complexhtml css templates. The notebook can be simply saved as an html file, then served from a simple web server or shared via a static html file.