Community Data Science Workshops (Fall 2014)/Day 3 projects: Difference between revisions
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* '''Option 1:''' '''More advanced data munging and visualization using Python and Google Docs''' — This talk will continue directly from lecture and we will use the same dataset of the metadata from all the Wikipedia articles about Harry Potter. | * '''Option 1:''' '''More advanced data munging and visualization using Python and Google Docs''' — This talk will continue directly from lecture and we will use the same dataset of the metadata from all the Wikipedia articles about Harry Potter. | ||
* '''Option 2:''' [[Community_Data_Science_Workshops/Saturday_May_31st_Matplotlib_Session|Data visualization with Matplotlib]] — In this session we will focus on making beautiful and nuanced plots using a powerful graphing library within Python. We'll be using a dataset with examples from analysis using the gender of subjects of 180,000 biography articles on Wikipedia | * '''Option 2:''' [[Community_Data_Science_Workshops/Saturday_May_31st_Matplotlib_Session|Data visualization with Matplotlib]] — In this session we will focus on making beautiful and nuanced plots using a powerful graphing library within Python. We'll be using a dataset with examples from analysis using the gender of subjects of 180,000 biography articles on Wikipedia | ||
* '''Option 3:''' '''Self-directed project room''' — If you have an idea for a project to build or analyze a dataset and you think you can work 70-80% indepedently on it, this is the room for you. Mentors will be around to help you as you get stuck and to give you advice! | * '''Option 3:''' '''Self-directed project room''' — If you have an idea for a project to build or analyze a dataset and you think you can work 70-80% indepedently on it, this is the room for you. Mentors will be around to help you as you get stuck and to give you advice! If are looking for more detailed help with, say, the Twitter API, then this is the room for you. | ||
Revision as of 07:00, 17 November 2014
In the afternoon sessions, there will once again be three options:
- Option 1: More advanced data munging and visualization using Python and Google Docs — This talk will continue directly from lecture and we will use the same dataset of the metadata from all the Wikipedia articles about Harry Potter.
- Option 2: Data visualization with Matplotlib — In this session we will focus on making beautiful and nuanced plots using a powerful graphing library within Python. We'll be using a dataset with examples from analysis using the gender of subjects of 180,000 biography articles on Wikipedia
- Option 3: Self-directed project room — If you have an idea for a project to build or analyze a dataset and you think you can work 70-80% indepedently on it, this is the room for you. Mentors will be around to help you as you get stuck and to give you advice! If are looking for more detailed help with, say, the Twitter API, then this is the room for you.
