Thanks for sharing your progress Paul, the notebook looks great! By the way, did you know that in latest Apache Zeppelin instead of ``` print(titanic.head()) ``` one can use
``` z.show(titanic) ``` ? It would be a good opportunity to showcase this [1] and other features of the Python interpreter like recent SQL over PandasDataframe with built-in visualizations for easy exploratory analysis [2] thought this work, how do you think? 1. http://zeppelin.apache.org/docs/0.6.0/interpreter/python.html#pandas-integration 2. https://github.com/apache/zeppelin/blob/master/docs/interpreter/python.md#sql-over-pandas-dataframes -- Alex On Sat, Jul 23, 2016, 12:54 Paul Bustios Belizario <pbust...@gmail.com> wrote: > Thanks Moon, > > Here is my third notebook using the Titanic dataset: > > > https://www.zeppelinhub.com/viewer/notebooks/bm90ZTovL2J1c3Rpb3MvbG9jYWwvYmI0Y2EwNjVkMTI1NDY2Y2EzNTIzNThiZjViYzIxOWQvbm90ZS5qc29u > > Now, I'm working on the fourth notebook and updating my first notebook to > use z.show() > > Regards, > Paul > > On Sat, Jul 16, 2016 at 7:42 PM moon soo Lee <m...@apache.org> wrote: > > > Hi Paul, > > > > That would be very interesting! > > And like you mentioned, it's dataset that for starters. I think it's > super > > reasonable to have a notebooks with those data. > > > > Thanks, > > moon > > > > On Sat, Jul 9, 2016 at 11:09 AM Paul Bustios Belizario < > pbust...@gmail.com > > > > > wrote: > > > > > Hi community, > > > > > > I was searching some databases and chose [1,2] for the next notebooks. > > > These databases are not big, but are classic and educational for people > > who > > > are starting the path of data science. Additionally, through the > process > > of > > > machine learning, these databases can provide many graphics. > > > > > > What do you think? > > > > > > Regards, > > > Paul > > > > > > [1] https://www.kaggle.com/c/titanic > > > [2] https://www.kaggle.com/c/digit-recognizer > > > > > >
