15 May DJ2 workbook- Charlie Scrase
Visualizing data
Visualisation of data shown by:
Static infographics ( print and web)
Standalone charts / charts as stories
Interactive charts
Interactive data visualisation
Scrolling stories / scrollitelling
Interactive tools and dashboards
Animation
Coursework 1 : 80% 500 word feature with an infographic
Coursework 2 : 20 % punctuality and attendance
Introduction to Lynda.com- https://www.lynda.com
Important to know what subject you are going to cover and how you are going to show it
Facts , stats and lies
week 3 -11/02/18
Visualising data
Don’t just publish raw data
TELL A STORY!
DATA TERMINOLOGY
Datapoint –one piece of data – this apple costs 20p
Dataset –a whole array of data -Cost of all the fruit + veg in the supermarket
Variable –one dimension of the dataset- Cost of apples in the supermarket
Raw data – unprocessed, detailed , has not been manipulated or analysed
Aggregated data – grouped or combined from several measurements
AVERAGE –MEAN –MEDIAN –MODE
AVERAGE -(ARITHMETIC) MEAN -Add all and divide by number of entries
MEDIAN -The middle number or, if even number, the sum of the two middle divided by 2
MODE- Most frequent or common value.
Example
Quiz results of nine students: 91, 84, 56, 90, 70, 65, 90, 92, and 30
FIND THE AVERAGE -(ARITHMETIC) MEAN: Add all and divide by number of entries 74
FIND THE MEDIAN: The middle number or, if even number, the sum of the two middle divided by 2= 84
FIND THE MODE: Most frequent or common value = 90
Example Salaries in a finance department:
1. £38,000
2. £40,000
3. £40,000
4. £40,000
5. £44,000
6. £50,000
7.£55,000
8. £59,000
9. £68,000
10. £88,000 (Very long serving accountant)
11. £88,000 (Very long serving accountant)
12. £120,000 (CFO)
Different stories
Total: 730,000
• Average(Total/12): £60,833
• Median(Middle: 50k+55K/2): £52,500
• Mode(Most common): £40,000
Per cent v percentage point
20% of adults are smokers
The number of smokers increased by 5%
21% of adults are smokers
The number of smokers increased by 5 percentage points
25% of adults are smokers
“All statistics are a summary of a more complicated truth”
Tim Harford
Check the data
Always make sure that you are aware of context of the data
Week 4- telling business data stories
We learnt to look at business data and how we can use it to tell a story though a more visual means.
We also looked at different sources of finding business and other data stories.
We were also tasked to:
Find a story in the news this week and:
• Write how we would use data to develop it
• Explain the angle we want to take
• Research and find the data sets we want to include
Basic excel data manipulation
how to manipulate data
We also learned which charts are more compatible to which type of data concerned.
Week 5- finding data sets
We looked at how to find data sets and the sources included were:
ONS ( Office for national statistics)
EU Sources
And other international source and projects.
We were also tasked to:
• CHOOSE A DATASET FOR YOUR ASSESSMENT PROJECT
• WRITE AND PUBLISH 200 WORDS ON WHY WE CHOSE IT
• PRESENT Our DATASET AND INITIAL THOUGHTS ON POSSIBLE ANGLES
Excel data manipulation part 2- further data manipulation skills and pivot tables
We also learned to narrow down data and also sort out specific information out from lots of results.
Week 6- fighthoax
We were introduced to fighthoax and also that we are going to work with the fighthoax in relation to fake news and other events.
Our news topic of working with the fighthoax engine is Brexit and We are looking at Brexit from different sources.
Week 7
Fighthoax continued
Ryerson event
Dataset work continuing along nicely, found further data set on police numbers to correlate along side knife crime stats. Looking to include use of police time ,cuts and cuts to youth services in article piece. Sources of data and reasearch Home office Metropolitan police House of commons library worked with illustrator
Week 8
Working with data sets
With regard to this consider dataset- I have chosen from an editorial perspective and judge how information can be used in relation to my news story.
I will read more on backround information for issues in my article to produce ( police cuts , youth services and police time ) Week 9 Continued to work on data sets to put into inforgrapic form. learned adobe indesign. looked at tools for designing my infographic: Including: Linda Visme Venngage Piktochart Infogram Canva Two tone just before easter had a meeting with LJ, made changes suggested.
However after easter, had a meeting with Micheal and after this meeting started infographic from scratch on a different provider ( changing from Visme to inforgram)
The decision to change providers was neceesary to achieve the desired function that i wanted for my infographic. With regard to the feature writing, I learnt to try and remain impartial, whilst stating the facts and relevant points in relation to the feature topic.
