class: middle, inverse .leftcol30[ <center> <img src="https://eda.seas.gwu.edu/images/logo.png" width=250> </center> ] .rightcol70[ # Week 5: .fancy[Workshop & Proposal Feedback] ### <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:white;overflow:visible;position:relative;"><path d="M243.4 2.6l-224 96c-14 6-21.8 21-18.7 35.8S16.8 160 32 160v8c0 13.3 10.7 24 24 24H456c13.3 0 24-10.7 24-24v-8c15.2 0 28.3-10.7 31.3-25.6s-4.8-29.9-18.7-35.8l-224-96c-8-3.4-17.2-3.4-25.2 0zM128 224H64V420.3c-.6 .3-1.2 .7-1.8 1.1l-48 32c-11.7 7.8-17 22.4-12.9 35.9S17.9 512 32 512H480c14.1 0 26.5-9.2 30.6-22.7s-1.1-28.1-12.9-35.9l-48-32c-.6-.4-1.2-.7-1.8-1.1V224H384V416H344V224H280V416H232V224H168V416H128V224zM256 64a32 32 0 1 1 0 64 32 32 0 1 1 0-64z"/></svg> EMSE 4572/6572: Exploratory Data Analysis ### <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:white;overflow:visible;position:relative;"><path d="M304 128a80 80 0 1 0 -160 0 80 80 0 1 0 160 0zM96 128a128 128 0 1 1 256 0A128 128 0 1 1 96 128zM49.3 464H398.7c-8.9-63.3-63.3-112-129-112H178.3c-65.7 0-120.1 48.7-129 112zM0 482.3C0 383.8 79.8 304 178.3 304h91.4C368.2 304 448 383.8 448 482.3c0 16.4-13.3 29.7-29.7 29.7H29.7C13.3 512 0 498.7 0 482.3z"/></svg> John Paul Helveston ### <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:white;overflow:visible;position:relative;"><path d="M152 24c0-13.3-10.7-24-24-24s-24 10.7-24 24V64H64C28.7 64 0 92.7 0 128v16 48V448c0 35.3 28.7 64 64 64H384c35.3 0 64-28.7 64-64V192 144 128c0-35.3-28.7-64-64-64H344V24c0-13.3-10.7-24-24-24s-24 10.7-24 24V64H152V24zM48 192H400V448c0 8.8-7.2 16-16 16H64c-8.8 0-16-7.2-16-16V192z"/></svg> September 27, 2023 ] --- # .center[Avoid causal language in Research Question] .leftcol[ ## .center[Causal] > "How does weather affect / influence / impact metro ridership? ] .rightcol[ ## .center[Exploratory] > "What factors are associated / correlated with changes in metro ridership? ] --- # .center[Data are not "Valid" or "Invalid"] -- - Don't say "we believe the data are valid because..." -- - Instead, discuss possible sources of bias or other issues that could be present in the data. -- .leftcol[ ## .center[Poor assessment] > "Our data is valid because it comes from a government source" ] .rightcol[ ## .center[Better assessment] > "Although the data are from a government agency, we are skeptical that the data are unbiased or complete as the agency used self-reported numbers from a survey" ] --- # .center[Look for inspiration in existing studies] -- - It is okay to replicate **individual charts**. - You still have to find the data and write the code. -- .leftcol[ <center> <img src="images/mammal.png" width=80%> </center> ] .rightcol[ https://ourworldindata.org/large-mammals-extinction ] --- class: inverse ## Rest of today: .leftcol60[ Individual meetings w/JP - **Data Analysis Explorers**: Zeyu, Ji - **Data WizRds**: Ayomide, Sahalae, Youssouf, Ben Yimaj - **I.C.E.**: Marena, Federica, Sabina - **NS**: Nishanth, Sai Kiran - **Renewable Revolutionaries**: Pingfan, Abbey - **Systems Sigmas**: Bogdan, Rayyan, Ian, Collin - **Team A**: Abdullah, Jake, Arman, John - **Team B**: Harshita & Dilrose - **Team C**: Kejia & Jiaxin - **Tidy DC**: Arsema, Kaitlyn, Amna, & Lola ] .rightcol40[ While waiting, work w/.orange[Ben & Lydia] on: - Revising your writing. - Looking for more data. - Begin reading in / cleaning / exploring data. ]