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Stat 157 Homework 2 due on Monday 2013-10-21 at 11:59pm
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Need a Group #31

Open chocoho opened 10 years ago

chocoho commented 10 years ago

Hello,

I posted on the facebook group for visualizers saying that I needed a group yesterday, but no one has responded.

If you're in group and have a spot open, please let me join!

My email is c.ho@berkeley.edu

Thanks!

aculich commented 10 years ago

Did you find a group yet?

chocoho commented 10 years ago

No I have not.

Sent from my iPhone

On Nov 2, 2013, at 19:31, Aaron Culich notifications@github.com wrote:

Did you find a group yet?

\ Reply to this email directly or view it on GitHub.

aculich commented 10 years ago

Other than posting to the visualizers facebook group what else have you tried?

The Visualizers are meeting at 5pm for Office Hours.

You should try to find a group before then by looking for a group that has a small number of people that you can join. Between now and then you could also focus on an area of visualization skills by reading the Plotting and Visualization Chapter of the Python for Data Analysis book. And since you will be using data to plot you might also want to read the Time Series chapter which will be very relevant for us.

chocoho commented 10 years ago

I posted on Github and the visualized groups. I don't know too many people in class, so I'm not sure where else to ask.

I have a review session for another classes midterm at 5pm today, but I am free from 3-5 if any of the other groups are meeting.

In the meantime, I will go over the chapters you've sent me.

Sent from my iPhone

On Nov 3, 2013, at 8:01, Aaron Culich notifications@github.com wrote:

Other than posting to the visualizers facebook group what else have you tried?

The Visualizers are meeting at 5pm for Office Hours.

You should try to find a group before then by looking for a group that has a small number of people that you can join. Between now and then you could also focus on an area of visualization skills by reading the Plotting and Visualization Chapter of the Python for Data Analysis book. And since you will be using data to plot you might also want to read the Time Series chapter which will be very relevant for us.

\ Reply to this email directly or view it on GitHub.

aculich commented 10 years ago

Glad to hear you've tried some other avenues to get the group figured out for yourself. Come to office hours early, starting at 1pm through 7pm-ish, so you'll be able to find a group and a way to contribute.

Another option to consider is offering your skills to the presenters group since the visualizers are the most closely aligned with that group. You can help them with integration by collecting stories from individual groups (either by talking to people and/or looking through all the github repositories and issue trackers. And tying all of those individual stories together into a big picture. In fact, if you were to use a whiteboard to sketch out the big picture visually so we can all understand what this data science pipeline looks like in more detail, then that would be extremely valuable!

Just make sure you don't operate in isolation. Even if you are working by yourself physically, make sure the work you're doing is visible to everyone in some way-- Github is a great way to ensure that with the background repo:

https://github.com/stat157/background/issues

In fact, you could begin collecting links to repos and other materials and add it all to the background wiki and README.md:

https://github.com/stat157/background/wiki

aculich commented 10 years ago

At 11am I am going to send out another announcement on bSpace. Unless I hear from you otherwise I am going to ask everyone to add their SMART Goals, any links to their repositories, list of people & roles in their group (modeled after Issue #3), and a status update about where they think they are and where they are headed... they'll add that to the Background repo issue tracker and tag it with the green "SMART Goal" tag I created.

With the status update they should indicate if they're stuck on any ROADBLOCKS and/or anticipate breakdowns (either because the group isn't working out very well or there are technical problems). That should help you see where you might be able to help out in an existing group and it will also help the presenters start collecting things in a central place.