Week 11 – Mon., April 2 and Wed., April 4

Graph/Chart Assignment (Worth 14 quiz points) due Monday, April 2 

In Class:

Some data viz tools to add to your toolbox:
Google Trends – What topics are trending in Google search and news
Data Gif Maker – Make simple gif maker to show percentage
Google Public Data Explorer  – A collection of public data sets
Census Reporter – Tool for navigating and visualizing Census data
Election DataBot – Election info from ProPublica and Google
ProPublica Represent – Track voting records and campaign donations of representatives
Making Maps with Google My Maps and Fusion Tables

Revised Assignments/Grading for rest of the semester 
Final Project Overview

Assignments:
In-Class Assignment: Making a Shape Map with Google Fusion Tables (Worth 5 quiz points) due Wed., April 11
Final Project – Step 1: Story Pitch and Data Plan (Worth 10 points) due Wed. April 11

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UPDATE: Revised Assignments for Spring 2018

Completed:
Quiz 1 – 15 points
Quiz 2 – 20 points
Quiz 3 – 45 points
RU Safety Overview story – 50 points
Graph/Chart Exercise – 6 points
Chart/Graph Assignment – 14 points

To Come:
In-Class Shape Map Assignment – 5 points
Quiz 4 – 25 points

Final Project Story Pitch and Data Plan – 10 points
Final Project Outline and Chart Sketch – 10 points
Final Project First Draft – 25 points
Final Project Final Draft – 65 points
Final Project Presentations – 5 points

Participation/Attendance – 30 points

TOTAL – 325 points

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Final Project Overview – Spring 2018

Goal:

To produce a publishable feature story using data and visualizations.

Deadlines:

The Final Project is worth a total of 115 points. You must meet deadlines for each of the required parts. All work must be submitted on time to get credit. No late work accepted.

There are five parts to this assignment. (See detailed requirements for each below.)

  1. Story Pitch and Data Plan (Worth 10 points) – Due Wed., April 11 at start of class
  2. Outline and Chart Sketch (Worth 10 points) – Due Wed., April 18 at start of class
  3. First Draft (Worth 25 points) – Due on Wed., April 25 at end of class
  4. Final Draft (65 points) – Due on Wed, May 2 at 10:15 am
  5. Presentations (5 points) in class on Wed, May 2 from 10:15 am to 12:15pm

Requirements:

-Follow this process:

datajournalism_5cs1

-Must be a story that you need several weeks to report. No “day after” stories. It must be a feature article that requires analysis, reporting, writing and visualization.

-Your goal is a publishable article. Pick a publication that you think would publish an article on your topic, even if it’s The Whit. Write your article for that publication. After the semester ends, pitch it to that publication. (If a 12-year-old can do it, so can you.)

-You must obtain data from a reliable source or collect it yourself.

-You must do original reporting to flesh out the data. You must use at least five (5) other sources of information, including interviews/quotes from at least three (3) people who are knowledgable about your topic.

-Final written article (approx. 750-1000 words) will consist of:

  • Compelling, descriptive headline that uses key words
  • An image that pulls reader into the story (If you don’t take it yourself it must be Creative Commons)
  • Strong lead that starts with a real person and real events.
  • Nutgraph that states story angle. What is your story?
  • Cosmic graph – a sentence or two that puts your story in a larger context. Why should reader care?
  • Methodology – A sentence or two that tells reader how you got your data.
  • Organized story structure with key findings
  • Quotes from at least three sources will something relevant and compelling to say
  • At least one chart, graph or visualization that supports the story
  • Clean copy – no grammar or spelling errors
  • A spreadsheet of your original data

Sample projects from previous semesters:

In the past, students have also done stories about adjunct vs. full-time faculty ratio at Rowan, the best cities for millennials, the rise in student debt among Rowan students, how NASCAR decides where to host its races, and the worst horror movies of all time. If it is a newsworthy topic and you can find data and people to talk to, you can do it.

Here are some examples to explore:

Continue reading

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Final Project – Step 1: Story Pitch and Data Plan due Wed. April 11

Worth 10 points

Due Wed., April 11 at start of class

No late work accepted

Post your Pitch and Data Plan to rudatajstudent.wordpress.com in the following format…

Your Name’s Final Project Pitch and Data Plan

Pitch: Tell me:

  • What is your story?
  • Why is it interesting?
  • What publication are your writing for?
  • Why do you believe this data set will yield something newsworthy?

Sources of data: I’m using the following sources:

  • Source with link if available
  • Source with link if available (if needed)
  • Source with link if available (if needed)

Story framed as questions: I am looking to answer the following questions:

  • Question 1
  • Question 2
  • Question 3

It should look something like this…

Sam’s Final Project Pitch

Pitch: My story is about the NBA draft and how important draft position is too yielding a star player. It is interesting because there is the perception that teams need to get the first overall pick to draft a superstar, but many of the league’s star players today were drafted outside of the top 2, 5, and even 10 picks. I am writing it for a sports blog like SBNation. In addition to looking at exactly how important position, it is interesting because I will be comparing the results of my findings to the “Tanking” strategy that was employed by the Sixers over the last three years and find out if this draft based style of rebuild is a viable strategy for NBA teams.

Sources of data: I will be using the records of NBA drafts dating back to the 1970’s and player performance metrics such as MVP voting, scoring averages, First and Second All-NBA teams, Championships won, and more to create tiers of star players over the decades and then chart their draft positions.

-Scraping data from these draft record https://en.wikipedia.org/wiki/2016_NBA_draft

-Pulling stats from here http://www.basketball-reference.com/

-All-Time Player Rankings on sports websites

-Looking into the Draft Lottery Process and how it works

Questions: I am looking to answer these questions…

-At what draft position are NBA teams most likely to draft a superstar?

-How often do superstar players get drafted outside of the top 10?

-Is the Sixers “tanking” strategy a viable rebuild plan for NBA teams in the future?

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Revised Schedule for Rest of Spring 18 Semester

Week 13 – Mon., April 16 and Wed., April 18

In Class:
-Quiz #4 on Monday, April 16
-How to structure your story
-Final Project workdays

Assignments:
Final Project Step 2 – Outline and graphic sketch (Worth 10 points) – Due Wed., April 18 at start of class

Week 14 – Mon., April 23 and Wed., April 25

In Class:
-Optional class on Monday, April 25 I’ll be in the classroom to answer questions and help. Come if you wish.

Assignments:
Final Project First Draft (Worth 25 points) – Due on Wed., April 25 at end of class

Week 15 – Final Exam Week

-Final Project Final Draft (65 points) – Due on Wed, May 2 at 10:15 am

-Final Project Presentations (5 points) in class on Wed, May 2 from 10:15 am to 12:15pm

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Week 10 – Mon., March 26 and Wed., March 28

In Class:
-RU Crime Story rewrite due
-Review your sketches of charts
-My answers to chart drawing exercise
Charts and Graph Thought-Starters
Data Visualization 101 (Visage + Hubspot)
Intro to out-of-box Infographic Makers
-Test drive Google sheets chart using Spreadsheet comparing Rowan to other public universities in NJ

Graph/Chart Assignment (Worth 14 quiz points) due Monday, April 2 

-Guest Speaker: Steve Stirling, NJ.com on Wed., March 28

Assignments:

-For Wednesday’s guest speaker, check out Steve’s  LinkedIn profile and Twitter feed, skim assigned articles and read at least one thoroughly and come with a question connected to his work.

Graph/Chart Assignment (Worth 14 quiz points) due Monday, April 2 

 

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Graph/Chart Assignment due Monday, April 2

Worth 14 Quiz Points – Due Monday, April 2 at start of class.

Save your graphs as .jpgs. Attach all three in an email to me. No late work accepted.

Instructions:

Refer to the Charts and Graph Thought-Starter for ideas and to identify the appropriate charts.

Refer to the tips in Data Visualization 101

Use an infographic maker of your choosing. Save each graphic as an image that you will email  to me.

Find some data that you are interested in that you want to graph. If you aren’t feeling ambitious, you can use datasets that we have already used this semester like:

Make three charts:

1. Create a chart the shows composition. (Worth 4 points)

2. Create a chart that shows comparison. (Worth 5 points)

3. Create a chart that shows relationship. (Worth 5 points)

Each chart will be assessed on:

Function – Does it clearly convey information without additional text or explanation?

Completed – Does it have all necessary titles, labels, legends, etc to convey the information?

Appearance – Is visuality interesting and clear?

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