Analyst Mindset - Episode 2

In this episode I’m analyzing particulate matter air pollution data generated by wildfire smoke, which is a topic a bit closer to my everyday life (as opposed to the previous episode).

[WmHenry]

Roger. Your open dialogues about your analytical processes, frustrations and all, is beyond encouraging. I greatly appreciate your free contributions, here and other places, to the data analytical field.

[bigbangdata]

Excellent resource for learning the tools, the methods, the thinking, the course corrections. Thank you Prof. Peng for these videos!

[bajsgrodan]

I enjoy these videos! I find myself pausing a lot to understand what is going on. Thank you for creating them!

[Aqoonyahanst]

Hi, Roger, I appreciated your effort and the work you do. I took few advanced courses of statistics, but not with software analysis side. I had a bit of experience with R, but I really want to focus heavily on it from now on. I bought your book "R Programming for Data Science", and it is consistent with the videos. Thank you very much, and I subscribed to your channel. Thanks again for the good work!

[ahmedmohamedsayedkamel]

Perfect!!! We really need more of these. We can't really find data analysis examples like these anywhere to guide us.

[crochetninja]

these are very well done! thank you. Exposing your thought process is very helpful to understand an expert mindset.

[madhavreddy]

thanks a lot, i am trying to follow all of your content available on all platforms..

[k_o_r_a_y]

Hey, if you use the exclude=NA argument in factor(), it gets rid of the annoying NAs as a factor level.

[mikenan]

Me watching this video is like my kids watching Minecraft videos.

[StalkingPlagiarist]

Great video, any way to get the data set to code along?

[AaronZull]

I find that almost every time you use brackets, i use filter(). is there an advantage to keep using the brackets? Oh, and love the sound track!

[annieliang]

Hi Prof.Peng, would you be able to share your R codes on your analystmindset website? Thanks!

[kirilldubovikov]

Thanks! It feels like you are watching a let's play for data analysis

[wesea]

Thanks! Really enjoyable. If the data aren't available then perhaps you can helps us with generating simulated data that would approximate the data you're working on. Don't want to add to your burden b/c these are great as is!

[marvinedmond]

Hi Roger, great vid! I'm curious as to why you did not first run analysis on your variables to get a sense of how many values were missing, for example, the NA values in your "smoke" variable. Wouldn't that help to determine what to do with the missing data? It seemed as if it was a second thought after you began plotting.

[eldersilva]

Tks for the video, they are very helpful!

[iamjameswong]

What kind of music do you like when you do these analysis. I mean seriously, it couldn't be this one

[yunhwang]

I am new to r. what does flag ="0" do in a mutate()?

[IanFrantz]

This might have worked. qplot (x, log2(x), geom = "boxplot", levels(x <- "1", "2"))

If anyone solves this please post the solution.

Levels have bitten me before when trying to sort descending alphabetic lists on the Y axis. This is other levels and factor code I've written:

[mockingbirdprep]

summary by the charts/plots would have been nice :)