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Professional Skills: Data Storytelling – 33310- JOUR 4401 – A School of Journalism and Communication Fall 2018 Day: Wednesday Time: 19:00-22:00 Location: Room 1105 Richcraft Hall (the TV Newsroom) Instructor: David McKie Work Address: CBC News 181 Queen Street Ottawa, Ontario Phone Number: 1-613-288-6523 (office) 1-613-290-7380 (cell) Email: david.mckie@cbc.ca Roger Martin IT Coordinator , ext. 7407 Teaching Assistant: Rebecca Bartlett & Meaghan Kenny Data journalism stories | What you will learn | Needs and Special Accommodations | Assignments and deadlines | Week one | Week two | Week three | Week four | Week five | Week six |Week seven | Week eight | Week nine | Week ten | Week eleven | Week twelve | Week thirteen | Assignment One | Assignment One |Assignment Two| Assignment Three |Readings | Additional Reading |Tutorials | Datasets | COURSE DESCRIPTIONThe goal of the Data Journalism Storytelling course is to teach students how to find and negotiate for data that is publicly available, or must be obtained formally or informally through a federal access-to-information, or provincial or municipal freedom-of-information request. We will analyse the records using the following: Excel; MySQL; DocumentCloud; Qgis; and ArcGISOnline; Taken together, these tools are packaged into a discipline called data journalism. Our textbook is The Data Journalist: Getting the Story. At the end of this term, students will become adept at searching for information, perusing and downloading files from government open-data websites, analyzing the material for story ideas, or for questions that could lead to stories or background information for interviews. As the course’s name suggests, there will be a heavy emphasis on storytelling, using words, maps, charts, video and sound. As such, we will begin each class with a story that has appeared in the news, either as an example of how data journalism was used, or how it could or should have been used. These discussions and in-class exercises will help students develop new analytical and storytelling skills. Specially designed tutorials based on data used in this class, and tutorials from The Data Journalist will be used to hone your newly-learned skills. The course will be comprised of three modules: spreadsheets (Excel); mapping (Qgis and ArcGIS Online) and database managers (MySQL) and web scraping. There will be three assignments ( please see chart below ). At the end of each segment, there will be an in-class tests worth five percent. This is a professional school, and you’ll be held to professional standards in both assignments and conduct. As a student of journalism, you must read and adhere to the school’s policies:
Undergraduates can find all three policies on this page https://carleton.ca/sjc/journalism/undergraduate-studies/resources-current-undergraduate-students/ Graduates can find all three policies here https://carleton.ca/sjc/journalism/graduate-studies/resources-current-students/ You are expected to be familiar with these policies and apply them to your work. Failure to abide by them will adversely affect your standing in the course. Requests for Academic Accommodation (TOP)You may need special arrangements to meet your academic obligations during the term. For an accommodation request, the processes are as follows: Pregnancy obligation Religious obligation Academic Accommodations for Students with Disabilities Survivors of Sexual Violence Accommodation for Student Activities For more information on academic accommodation, please contact the departmental administrator or visit: students.carleton.ca/course-outline Data Journalism Stories (TOP)Examples stories using data journalismCould devastate Rohingya camps Walmart: Thousands of police calls. You paid the bill. Is Canada ‘ripping us off’? Or is it the best U.S. trade partner?https://www.washingtonpost.com/graphics/2018/business/us-canada-trade-balance/?utm_term=.5d06e66050de CAJ Data Journalism finalistsUnfounded (The Globe and Mail) Easy Money: How Fraudsters can make millions off Canadian investors, get barely punished and do it again (The Globe and Mail) Ottawa nursing homes have seen at least 163 cases of abuse since 2012 (Ottawa-Citizen) Big corporate donors give big to the B.C. Liberals (Vancouver Sun) In search of Canada’s elusive shadow population (Discourse Media) 2017 Philip Meyer Award winnersDangerous Doses (Chicago Tribune) Too Broke for Bankruptcy No Place for Foreigners: Why Hanna is invited to view an apartment and Ismail is not Data Journalism Awards 2018 WinnersThe Startup Lisboa award for investigation of the year: Easy Money: How Fraudsters can make millions off Canadian investors, get barely punished and do it again (The Globe and Mail) Open Data: Who backs Canada’s Politicians (National Post) http://www.postmedia.com/2018/03/20/political-donations-database-allows-canadians-to-follow-the-money/ Data Journalism Awards 2018 ShortlistIs anything left of Mosul? (BBC News) In 558 days, President Trump has made 4,229 false or misleading claims (The Washington Post) Student ExamplesThe Halifax Explosion killed nearly 2,000 people. (Global News & Kings Journalism) The Ryerson School of Journalism, in partnership with The Toronto Star Pollution from Canadian refineries an ’embarrassment’ compared with U.S. General InvestigationsMedical Disorder, parts one and two (Toronto Star) http://projects.thestar.com/doctor-discipline/part-2/index.html http://projects.thestar.com/doctor-discipline/part-3/index.html People have a right to ‘as much transparency as possible’ when it comes to doctors’ pasts, health minister says Rachel Browne (Vice News) Jacques Marcoux and Katie Nicholson (CBC Manitoba) Nael Shiab (L’Actualité) http://lactualite.com/societe/2018/01/23/philippe-couillard-vous-fait-il-perdre-ou-economiser-de-largent-notre-robot-journaliste-repond-a-vos-questions/ Canada’s Highest Paid CEO’s (The Globe and Mail) To gain access to a running, up-to-date list of the latest data journalism stories, please click here. Stories from open-data sitesStreetcars account for half of deadly TTC collisions with pedestrians, cyclists Streetcars account for half of deadly TTC collisions with pedestrians, cyclists As #NearMissToronto picks up steam with cyclists and pedestrians on Twitter, we map your tweets of near death Census-related storiesReport reveals alarming — and growing — racialized income divide in GTA Stories about data journalismIn the dark: The cost of Canada’s data deficit Divorce and marriage data crucial for understanding Canada’s public health, researchers argue Health-care data in the cloud? Early adopter took a giant leap, and it paid off The data game: How information on everything from flight patterns to parking lots can reveal valuable clues about where the market is heading Morning Update: Canada’s firearm data gap; Trump’s new China trade threat Poor flood-risk maps, or none at all, are keeping Canadian communities in flood-prone areas WHAT YOU WILL LEARN (TOP)1) How to find data on government open-date web portals 2) How to use a spreadsheet to analyze statistics 3) How to create a pivot table 4) How to use advanced functions in Excel 5) How to use technical skills such as exporting tables from PDFs into Excel 6) How to use MySQL 7) How to advance your numeracy skills 8) How to use Tableau Public 9) How to use Qgis , ArcGIS Online, and the web platform, OpenStreetMap 10) How to scrape a website 11) How to become effective storytellers Assignments and Deadlines (TOP)Assignments in this course are governed by the provisions of the document Ethics and Standards in the School of Journalism and Communication. There are four assignments, each with a deadline. Lateness will be penalized with the deduction of a half a grade for every day the story is overdue, though exceptional circumstances will be taken into account. Questions or appeals about your grade on assignments or other graded components of the course should be raised with the instructor no later than seven business days after the grade has been issued, as explained in the university’s academic regulations (2.7 and 2.8). Your final course grade is based on grades earned throughout the term on the assignments and other graded components listed in the syllabus. This means requests to raise an overall course grade at the end of the term or year cannot be considered. Standing in a course is determined by the course instructor subject to the approval of the Faculty Dean. This means that grades submitted by an instructor may be subject to revision. No grades are final until they have been approved by the Dean. There is no final examination. Each assignment has two components, all of which will figure in the grade: A. A description of how the documents and data were obtained, why they were useful and how the material was analyzed B. The resulting story Final standing in this course is determined by the course instructors subject to the approval of the Dean of Public Affairs. This means that final grades submitted by the instructors may be subject to revision. No grade is final until it has been approved by the Dean. Academic Integrity This course abides by Carleton University’s Academic Integrity Policy. Acts of academic dishonesty include, but are not restricted to, plagiarism and unauthorized resubmission of work, and will be dealt with accordingly. Plagiarism is a serious offence, which cannot be resolved directly between the student and the course instructor. If an academic offence is suspected, it will be referred to the Office of the Dean of the Faculty of Public Affairs. The Associate Dean of the Faculty will conduct a rigorous investigation, including an interview with the student, when an instructor suspects a piece of work has been plagiarized. Penalties are not trivial. They can include a final grade of “F” for the course.
For undergraduates: Undergraduate Calendar section 12.0 Academic Integrity http://calendar.carleton.ca/undergrad/regulations/academicregulationsoftheuniversity/ or http://carleton.ca/senate/wp-content/uploads/Academic-Integrity-Policy1.pdf For graduates: General Regulations, Section 19, of the Graduate Calendar http://calendar.carleton.ca/grad/gradregulations/
GRADESA+ 90-100 A 85-89 A- 80-84 B+ 77-79 B 73-76 B- 70-72 C+ 67-69 C 63-66 C- 60-62 D+ 57-59 D 53-56 D- 50-52 For undergraduates: The passing grade for this course is a grade of C Questions or appeals about your grade on assignments or other graded components of the course should be raised with the instructor no later than seven business days after the grade has been issued, as explained in the university’s undergraduate academic regulations (2.7 and 2.8). Your final course grade is based on grades earned throughout the term on the assignments and other graded components listed in the syllabus. This means requests to raise an overall course grade at the end of the term or year cannot be considered. Standing in a course is determined by the course instructor subject to the approval of the Faculty Dean. This means that grades submitted by an instructor may be subject to revision. No grades are final until they have been approved by the Dean. ******* For graduates: The passing grade for this course is a grade of B minus Informal questions or appeals about your grade on assignments or other graded components of the course should be raised with the instructor no later than seven business days after the grade has been issued. For information about the formal Grade Review process, please see the Graduate Regulations: http://calendar.carleton.ca/grad/gradregulations/administrationoftheregulations/#15 Standing in a course is determined by the course instructor subject to the approval of the Faculty Dean. This means that grades submitted by an instructor may be subject to revision. No grades are final until they have been approved by the Dean. Ethics and Professional Standards
Undergraduates can find all three policies on this page https://carleton.ca/sjc/journalism/undergraduate-studies/resources-current-undergraduate-students/ Graduates can find all three policies here https://carleton.ca/sjc/journalism/graduate-studies/resources-current-students/ You are expected to be familiar with these policies and apply them to your work. Failure to abide by them will adversely affect your standing in the course. Academic Advice For undergraduates: If you have questions about the journalism program, degree requirements, your standing in the program or your academic audit, you should contact your Undergraduate Administrator Joan Thompson at or Undergraduate Supervisor Mary McGuire at For graduates: If you have questions about the journalism program, degree requirements, your standing in the program or your academic audit, you should contact your Graduate Administrator Mary Choueiri at or Graduate Supervisor Chris Dornan at COMMUNICATIONS WITH STUDENTSThis will be done primarily through email correspondence and phone calls, given that I do not have an office at Carleton University. The protocol will dictate that emailed queries will be answered as promptly as possible, if possible within the hour. As such, it will be important for you to regularly check your email account for updates regarding assignments, new datasets or class work. You’ll also be required to use your Carleton University account, not a second account such as gmail. PROFESSIONALISMWe’ll conduct ourselves as professional journalists. That means attending class, showing up on time; being prepared and ready to make a meaningful contribution based on the preparation work you’ve been assigned; paying attention to your instructor and colleagues and ignoring email correspondence, Facebook, text messages, Twitter, and promptly responding to emails from the instructor. You’ll also be expected to stay on top of current events, which is part of your obligation as a journalist. If your absence is due to a medical reason, you may be required to provide a doctor’s note. If it’s for an internship, then you’ll have to provide details. You are expected to attend ALL classes. If personal reasons prevent you from attending a specific class, please let me know in advance via email. REQUIRED SUPPORT RESOURCESThe course would be taught in the TV computer lab, using the overhead projector. As the school possesses an ArcMap licence, we are be able to use the mapping software, which is installed on the desktops. We also use the open-source software, Qgis. The library’s Maps, Research Support Services is well positioned to provide support to faculties including journalism and communications. OUTLINEWeek One(TOP)Sept. 5What we will cover: Introduction to the course Installing needed software (Excel, MySQL, QGIS, ArcGIS Online) A discussion about open data Making an informal access-to-information request for a federal dataset Sorting and filtering using Statistics Canada’s incident-based crime statistics by detailed violations data LINKS: Informal Access to Information requests Canadian police dismissing fewer sexual-assault cases Statistics Canada’s data tables Despite looming legalization, cannabis possession charges remain a reality Information on the changes made on Statistics Canada’s website, Statistics Canada’s incident-based crime statistics by detailed violations data Statistics Canada’s cannabis consumer prices TREB loses Supreme Court bid to appeal release of real estate sold figures Week Two(TOP)Sept. 12WHAT WE WILL COVER A continuation with Statistics Canada data tables Using ratios and numeracy fundamentals Downloading a table from an open data site and sorting and filtering Pivot tables Links Global Affairs INFORMAL REQUEST for Records About Marijuana Legalization A2016 00470 Loss of part-time jobs drives Canada’s unemployment rate, but full-time work rises In sobering news for the Ford government, Ontario lost 80,000 jobs in August Welcome to My StatCan StatCan release schedules Labour Force Survey, August 2018 Annual demographic estimates by census metropolitan area, age and sex, based on the Standard Geographical Classification (SGC) 2011 Annual safety reports (City of Ottawa) 2017 Tabular Transportation Collision Data – 2017_collisions_xlsx (City of Ottawa) Week Three(TOP)Sept. 19WHAT WE WILL COVER Strategies for negotiating for more detailed sets than the ones posted on A continuation of pivot tables, using the City of Ottawa’s collision data Calculating percentages An introduction to specialized functions used to analyze data Combining research with other primary sources Using DocumentCloud LINKS: Annual safety reports (City of Ottawa) Ottawa’s Strategic Road Safety Action Plan City of Ottawa Transportation Collision Data Ottawa Collision Data – MacOdrum Library Temporary Foreign Worker Program work permit holders by top 50 countries of citizenship and sign year¹, 2007 to 2016 https://www150.statcan.gc.ca/n1/pub/81-599-x/81-599-x2016011-eng.htm Universities Canada Ontario releases its annual Sunshine List of top public sector salaries Public sector salary disclosure 2017: all sectors and seconded employees https://library.carleton.ca/find/gis/geospatial-data/ottawa-collision-data Week Four(TOP)Sept. 26WHAT WE WILL COVER Continuation specialized functions LINKS: Sunshine List analysis reveals $10,000 gender pay gap at Ottawa’s main universities Sunshine List so white: Minorities almost invisible among Ontario’s best-paid public servants Ontario’s sunshine list shows men far outnumber women — and women earn less SunshineLists Routine Disclosure and Active Dissemination Plans Bike Ottawa Interactive Maps Ottawa collisions mapped Week Five(TOP)Oct. 3WHAT WE WILL COVER Excel test Ottawa full-time equivalents Download QGIS archive An introduction to mapping with Rebecca Bartlett, a specialist from the Carlton library. Joining data tables and shapefiles in Qgis, using census data from Statistics Canada and a second, yet-to-be-determined government agency. LINKS Is Canada ‘ripping us off’? Or is it the best U.S. trade partner?https://www.washingtonpost.com/graphics/2018/business/us-canada-trade-balance/?utm_term=.5d06e66050de A majority of Torontonians now identify themselves as visible minorities Municipal Wards (Toronto’s open-data catelogue) Week Six(TOP)Oct. 10WHAT WE WILL COVER A continuation working with census data An introduction to OpenStreetMap Counting points in polygons A look-ahead to the assignment LINKS: Census Program Census Reference Materials Dictionary, Census of Population, 2016: Complete A to Z index Incompletely enumerated Indian reserves and Indian settlements 2016 Census Program release schedule 2016 Census Ward Data – 2016 Census by Wards Statistics Canada’s Crowdsourcing Program Using OpenStreetMap City of Ottawa address points Week Seven(TOP)Oct. 17WHAT WE WILL COVER A continuation of work with census data and Links: New census counts 25,502 unoccupied homes in Vancouver, for 15 per cent jump over 2011 Here’s Where Metro Vancouver’s 66,719 Unoccupied Homes Are [Interactive] Toronto Has Over 99,000 Unoccupied Homes, Here’s Where They Are [Interactive] About Better Dwelling Map of inadequate housing in Ottawa using ArcGIS Online infopigeonofficial
Week Eight (TOP) (Fall break)
Oct. 24Have a good break!! Week Nine (TOP)Nov. 1WHAT WE WILL COVER A mapping test Introduction to MySQL Importing data Simple select statements LINKS: Top complaints to City of Toronto’s 311 line and how to avoid a complaint against your home Ottawa 311 complaints 2018 Open Data Inventory (Federal) EmEditor UltraEdit Notepad++ TextWrangler Links: Week Ten(TOP)Nov. 7WHAT WE WILL COVER Joining tables in MySQL Links: Week Eleven(TOP)Nov. 15WHAT WE WILL COVER: A continuation of joining tables in MySQL LINKS: Ottawa nursing homes have seen at least 163 cases of abuse since 2012 (Ottawa-Citizen) Ottawa Food Safety Inspections Ottawa Public Health – Inspection Results Long-term care overview Retirement Homes Regulatory Authority Public Register Bereavement Authority of Ontario Week Twelve(TOP)Nov. 21WHAT WE WILL COVER Review of linking tables in MySQL Working with City of Ottawa parking-ticket data LINKS: Ottawa restaurants City parking tickets big business for private companies Parking hotspots (CTV News) This fire hydrant costs Toronto drivers the most in parking tickets (The Canadian Press) Week Thirteen(TOP)Nov. 28WHAT WE WILL COVER Creating tables and importing files into MySQL LINKS: Black market animal smuggling – ATIP
Out of date opioid data – Open Data
https://www.cbc.ca/news/ https://www.cbc.ca/news/ https://www.cbc.ca/news/ ‘We’re guinea pigs’: Canada’s oversight process for implanted medical devices stuns suffering patients ‘We’re guinea pigs’: Canada’s oversight process for implanted medical devices stuns suffering patients Insulin pumps linked to more reports of injury and death than any other medical device, records show Why many Canadians face long waits or big bills to have painful medical devices removed Patients stunned over lack of oversight for implanted medical devices | The Implant Files Canadian doctors sounding the alarm over Biocell breast implants | The Implant Files Health minister vows to strengthen oversight of medical devices after investigation reveals problems International Consortium of Investigative Journalists:‘Deeply concerned’ by Implant Files, Canada vows to strengthen medical device oversight Health Canada Releases Action Plan on Medical Devices Ottawa unveils plan to make medical devices like insulin pumps, pacemakers safer Health Canada introduces new safegaurds against faulty medical devices Health Canada announces oversight plan to improve safety of medical devices Assignment One(TOP)Qs AND As: What is the due date? Before class by midnight Sept. 28 What do I submit?
Should I check with you before using the data? Only if it’s one discussed outside of class. How should I analyze the data? Using the techniques that we’ve studied so far (filtering, sorting, percentage increases) What am I looking for in the story? A well-told yarn, with a sharp, crisp lead that makes the audience want to keep reading. Avoid using too many numbers. Think about the most important numbers, and concentrate on them. As writing coach Don Gibb once remarked, choose a number as carefully as you choose a quote. All your specific references (to studies, events, news conferences, etc.) MUST be hyperlinked to the original source. For instance, if you are referring to a study that states a certain fact, then there should be a hyperlinked reference to the original document. What I want to see is evidence of solid research. DO NOT LINK TO NEWS REPORTS THAT SIMPLY REFER TO THE STUDY IN QUESTION. Should the story emerge from the data? Yes. Don’t make an assumption, and then use a dataset to try to test it. Have faith that you’ll be able to find newsworthy patterns in your dataset by using the techniquest that we’ve learned. If there are no patterns, then perhaps you should keep looking. Should the story have any interviews? Yes, at least two, including someone who is directly or indirectly impacted by the trend that you’ve identified. So get the data work completed early enough to allow for enough time to find the right characters for your story. You have plenty of time to complete the assignments, so finding the right characters should be feasible. Should one of the interviewees be an expert? Yes. For a story about crime, it could be a knowledgeable police officer, a criminologist , lawyer, trade expert or professor. The expert MUST not be an advocate. Seek out credible, non-partisan voices. Will I lose marks for having less than one interview? Yes, half a grade. Should I have any visualizations? Absolutely. We’ll explore visualizations more in-depth as the term progresses. For this assignment, there should be at least two, including a picture of the subject of your story. Infogr.am with its shallow learning curve might be the easiest option for this story. If you are already familiar with other visualization tools, please feel free to use them. Will I lose marks for neglecting to submit visualizations, or at least the minimum number of them? Yes, half a grade. Will I lose marks for failing to reach or exceed the word limit? It’s not a big deal if you’re 20 or so words over or under the limit. However, anything longer than 650 is too long and should be trimmed. Can I submit a draft? Yes. However, because this is a large class, I will accept ONLY ONE per student, and will not accept a draft less than 48 hours BEFORE the due date. Remember, a draft can be point form, or even an explanation of where you intend to take the story, if you’re running out of time. Your assignment should not be your first draft. What is the deadline? Midnight Sept. 28. Anything after that will be considered late and docked half a mark. Extensions will be only be granted for exceptional circumstances. However, we must have a conversation. Assignment Two (TOP)Qs AND As: What’s the due date? By midnight Oct. 30 What do I submit?
This assignment will be based on Statistics Canada’s 2016 census. What’s the topic? The characteristics of the census tract that you choose to highlight, focusing on factors such as the reason for the particular concentration of people in the area of town that you’ve identified. How many interviews do I need? At least two. One must be the person who is involved in the story; for instance, someone who embodies the trend. Must the interview with the central character be in person? Yes. How will the audience know if I’ve conducted the interview in person? If there is the kind of colour, description, and photographs that we’ve discussed in the feedback to previous assignments. For instance, what was the decor of the individual’s office or home. What does it look like? Will I be required to use visualizations? At least two. The map that you have created in Qgis uploaded to ArcGIS Online; and a photo of the person featured in your story. Will I required to hyperlink key references in my text to the original source? Absolutely! And even better if readers can find the document(s) on DocumentCloud. Can I submit outlines and drafts? Yes, but given the size of the class, I can only review one version. Will I be docked half a grade for neglecting to submit any of the required elements? Yes. Will I be docked half a grade for neglecting to give my visualizations titles, cite sources or provide cutlines for my photographs? Yes. Will I be docked half a grade for a late submission? Yes. Will I lose marks for failing to reach or exceed the word limit? It’s not a big deal if you’re 20 or so words over or under the limit. However, anything longer than 650 is too long and should be trimmed. Remember: Keep it simple. Tell a story!! Assignment Three (TOP)Qs AND As: What’s the due date? By midnight Nov. 30 What do I submit?
How is the assignment to be submitted? You will upload the story to a WordPress assigned category . What’s the topic? Any dataset that we have discussed in the MySQL section. How many interviews do I need? At least two. One must be an expert; the other must be involved somehow. Do I have to do extensive work in MySQL? No, just the initial data work to obtain the table you want, which can be then exported as a csv file. Will I be required to use visualizations? Yes, at least two. If you’re using a picture, make it a good size that spans the width of the story. Will I be required to hyperlink key references in my text to the original source? Absolutely! Can I submit outlines and drafts? Yes, but given the size of the class, I can only review one version, using the same criteria outlined in the assignment one Q and A. Will I be docked half a grade for neglecting to submit any of the required elements? Yes. Will I be docked half a grade for neglecting to give my visualizations titles, source citations and cutlines? I didn’t for the first assignment. But will for this one. Will I lose marks for failing to reach or exceed the word limit? It’s not a big deal if you’re 20 or so words over or under the limit. However, anything longer than 650 is too long and should be trimmed. Remember: Keep it simple. The fewer numbers, the better. Tell a story!! Readings(TOP)Week One: Week two: Week three: Week four: Week five: Week six: Week seven: Chapter 5 Week eight: Week nine: Week ten: Week eleven: Week twelve: Additional Reading (TOP)Week one: 10 principles for data journalism in its second decade Week ten: MySQL Crash Course Tutorials(TOP)From week one: To obtain the Statistics Canada tutorial on using data tables, please click here. From week two: From week three: To download the DocumentCloud tutorial, please click here. To read read the email chain that lead to informal request To obtain the tutorial on calculating per cents, please click here. To obtain the specialized functions tutorial, please click here. From week four: To obtain the questions we used for our pivot table exercise using ACOA data, please click here. To download the Infogram tutorial, please click here. From week five: To download the tutorial for downloading Qgis, please click here. Introduction to QGIS and Basic Geoprocessing Skills Joining census data to census tracts in QGIS CH7 – QuickTourQGISDesktop.pdf NOTE: the Toronto wards link in the tutorial needs to be updated, in the meantime, please select 25 Ward Model – December 2018 (MTM 3 Degree Zone 10, NAD27 CH7 – Selecting Featuresin QGIS Desktop.pdf CH7 – The Data Journalist: Selecting Features in QGIS Desktop.pdf From week six: Spatial joins using Ottawa collision data and ward 2014 shape file From week seven: Instructions for adding point features to Qgis.pdf For Kent Jacob’s tutorial on downloading Open Street Map data, please click here. To download the QGIS geocoding tutorial, please click here. To download the ArcGIS Online tutorial for Story Map Journal templates ( beginning at Exercise: 7 on page 28 ), please click here. From week nine: To download the Windows version of MySQL installation tutorial, please click here. To download the Mac version of the MySQL installation tutorial, please click here. Click here to see the YouTube tutorial on downloading 311 complaints data from the city of Ottawa’s open data portal and uploading it to MySQL. The accompanying PPT presentation and MySQL scripts used to create the are the next two links, respectively. PowerPoint to accompany MySQL tutorial using 2017 311 data.pptx Queries for Ottawa 311 data 2013-2017.sql CH5 – Making Tables and Importing Data into MySQL.pdf CH5 – Getting Started with Queries in MySQL.pdf From week ten: Tutorial for querying Ottawa inspections data in MySQL.pdf Appendix A:Data Integrity and Cleaning.pdf From week eleven: From week twelve: ParkingTicketScriptsAndDataForClass.zip From week thirteen: Datasets(TOP)From week one: From week two: To obtain a zipped folder containing the City of Ottawa’s collision data, From week three: To obtain a zipped folder containing more detailed collision data the City of Ottawa To download the workbook for the The Data Journalist- Getting the Story_updated.xlsx OntarioPublicSectorSalaryDisclosure_2014-16.xlsx DefectiveVehicleComplaints.xlsx Ward_12-Rideau-Vanier_Crimes Against The Person.pdf From week four: From week five: Or download the zipped folder that contains the text file above. From week six: Pedestrians hit by Ottawa ward 2014-2017_Tutorial.zip From week seven: From week eight: From week nine: Files for Mapping Test for upload.zip The hyperlinked 311 file below contains the combined csv tabes from July 5, 2018, to the end of Oct 2018, taken From week ten: From week twelve: From week thirteen: |
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