Reproducible Data Analysis in Jupyter, Part 1/10: Loading and Visualizing Data

[@prraoable]

This kind of demonstration is just SO important - I hope this approach becomes mainstream in introducing Data Science concepts to the broader audience. The standard 'certification' programs focus too much on having people just write code without understanding the actual thought process behind how good code and analysis is conceptualized. THANK YOU JAKE.

[@RupertBruce]

Slick presentation by someone who clearly has a great experience with jupyter & python & data representation. Right on the 5min.Tidy.

Thanks Jake for doing these short tutorial videos. Very useful!

[@broken_arrow1813]

Thanks Jake. Your presentation of material is concise and easy to follow.

[@Swashque]

Thanks so much for doing this. Really helpful to see the change from exploration to something that gets packaged.

[@yasinalkan]

Thanks Jake for these great videos. Really appreciate it. By the way this is my first comment on KZbin since 5 years.

[@matthewhollander1978]

big fan of your work. pace is excellent. can't wait to get through this playlist.

[@kapilchhabria1727]

This man is doing god's work.

[@nicktids]

Thank you this series helped me understand how an analysis project could work.

[@lionhuang9209]

Always learn a lot from your tutorial videos.

[@georgejwright]

Jake. Trying to follow. Data now seems to be at different location - hard to find: URL="data.seattle.gov/api/views/65db-xm6k/rows.csv?accessType=DOWNLOAD" However my urlretrieve(URL, "Freemont.csv") results in a "ConnectionResetError". URLError: Wonder if you know how to beat that. Regards George

[@erdemalpkaya]

Hey Jake, your videos are fantastic! Please share more. Thank you

[@lowbias]

These videos are fantastic. Thank you!

[@pamthumbela562]

Brilliant tutorial. Many thanks.

[@broken_arrow1813]

One question. Have you done or would you do an analysis that incorporates dynamic data manipulation such as by use of ipywidgets. I'd really love to see something like that.

[@nalidbass]

For anybody trying to go though this themselves, you need to convert the index to datetime format using something like data.index = pd.to_datetime(data.index) before they can resample.

[@chrima758]

It worked thx: I did the following: import pandas as pd data = pd.read_csv('fremont.csv', parse_dates=True, index_col='Date') data.head() %matplotlib inline data.index = pd.to_datetime(data.index) data.resample('W').sum().plot();

[@DrMaribelSHandy]

GREAT video! 😀

[@ictfoodies5362]

How to connect Jupiter with sql server

[@ictfoodies5362]

Can you help me plZ

[@ictfoodies5362]

It’s a big problem