Infographic story

An Increased number of people are choosing apprenticeships over university

In the UK in the last 5 years the number of people starting apprenticeships has risen over the years and apprenticeships are winning more candidates than universities in the UK as the figures of people that are applying and enrolling to study a course at university remains stable.

The number of people starting apprenticeships has increased more than the numbers of people attending university in the UK. Even though in the years 2017/18 the amount of people starting apprenticeships fell drastically by around 90,000, the number of people starting apprenticeships was still higher than people going to university. This could be because people’s perceptions on apprenticeships are changing and they are seeing that apprenticeships success numbers are getting higher, in recent statistics produced there have been 276,200 apprenticeship achievements.

University numbers in recent years haven’t changed so much as they have stayed in the 500,000 mark but are slowly decreasing every academic year this can be due to many reasons.

The Savethestudent organisation had conducted a survey on university students to help other students on whether they wanted to attend university, the survey results showed that many students worry about finance and balancing university life as 78% worry about making ends meet, 61% who get a maintenance loan say it’s not enough to live off also 2 out of 3 students had saved money before just to go to university instead of saving they could’ve looked at other opportunities. The survey results can make other people that are looking to study at university in the UK get put off as a student life can be too stressful and people will look at choosing other pathways to get into their desired future job.

Science and maths apprenticeships have the lowest numbers of apprentices joining with around 780 apprentices, even though this number is very low there is not a lot of opportunities for science and maths apprenticeships. For example, a doctor would need to study at university and it’s a longer route to become a qualified doctor and can take many years.

In the years 2017/18 Business administration and law had the most competition due to becoming the most popular subject area in university, in the UK 1 in 7 students study business administration and law according to HESA. The number of apprentices completing an apprenticeship in this subject area is evidently higher with 215,530 apprentices joining in the years 2017 and 18.

The courses in both university and apprenticeships seem to be very similar but there are other factors on why numbers of people especially young people are not planning on studying at university which can be due to finance related issues, mental health and other underlying factors.

YouGov state that 1 in 4 students suffer from mental health problems. A TFL apprentice says, “mental health is a massive issue particularly for young people like me, I’m a dropout of uni because of stress with finance, I’m now doing an apprenticeship which I don’t have to pay for”. (Sadie Stuart)

Digital Journalism 2 Workbook

Week One

Introduction to Broadcast Journalism

Learnt what assessments we will have which were: CW1: Infographic 80% and CW2: professional conduct 20%

What is data?

Facts and statistics collected together for reference or analysis, records or measurements of something, data is also gathered and analysed in a rigorous, rule-governed way, using consistent units for each dataset, they are facts and normally refers to or represents something other than itself

Data Journalism, why do journalists use data?

IDJ, GDJ, Real-time Data Journalism

Week Two

  • Ways of visualising data
  • Static infographic (print+web)
  • Standalone charts/charts as stories
  • Interactive charts
  • Scrolling stories/’scrollitelling’
  • Interactive data visualisation
  • Interactive tools and Dashboards
  • Animation
  • Looked at visualising data
  • MP’s expenses scandal- which MP’s spend the most amount of money
  • Film scenes that were actually truthful and accurate to real life (Hollywood movies)
  • People who fought during the war, Soviet Union fighters, The Fallen of WW2
  • Gapminder- how many people are rich? How many people are poor? Ages, Income and life expectancy
  • Unsolved murder investigations
  • State of the Union speeches charts

Week Three

Don’t publish raw data.

Tell a story!

  • Florence Nightingale, 1857- Rose diagram of causes of death in the army
  • Improved hygiene
  • The context we see in the data is very important
  • “There are three kinds of falsehood: lies, damned lies, and statistics”- Mark Twain

Data terminology

  • Data point: one piece of data
  • Dataset: a whole array of data
  • Variable: one dimension of the dataset
  • 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

Week Four

  • Business data and developing data stories
  • FTSE stands for Financial Times Stock Exchange
  • Be colour aware
  • Finding data stories- heatmap
  • Found 3 stories on the news that can be developed by using data sets

Week Five

Finding data sets

We went over the homework we was set in week 4 on finding a current news story and then developing it into data and finding a news angle from the news story. 

Went through looking at data sets from official sources such as ONS, electoral commission etc.

Looked at international sources

Data visualisation, visual essays, visual stories-web, mobile

In the afternoon we had learn’t how to use Microsoft Excel 2016 and learn’t how to produce graphs such as a box and whisker plot, line graphs, pivot tables etc. We also worked on looking at data on crime in London which was real.

Week Six

This week we had fight hoax training by a guy who works for the company who came into university to teach us how to use the website. I learn’t that Fighthoax is a website that analyses news stories and big news data that have been published on the internet to detect whether they include false information in a matter of a few seconds.

I had started to research infographic ideas and I really liked the idea of doing an infographic story on knife crime in London as knife crime is known to be on a rise.

 

Week Seven

The class had introduced their ideas of their infographics to Michael and he had given us all pointers on the good things and ways we can make our work better by giving up suggestions. We then went into our Fighthoax groups that we had created from last week. In my group we were looking at Google News stories so we all had a task of looking for different news stories about Brexit on Google News so that we could do a manual analysis on Fighthoax.

 

Week Eight

We had started off the lesson by talking about the events that recently happened in the past week in New Zealand. Michael spoke about the editor’s code of practice and what we should be careful of when we are posting news, specifically in news stories that are sensitive.

We then went to discuss how far we have got on our infographic work and Michael gave us feedback. After this we got into our Fight-hoax groups and each individually analysed a news story.

In the afternoon with LJ we had been introduced to a software called InDesign and we had learn’t how to use it. We learn’t how to layout the page by splitting the page, adding text, changing the font size and lettering and adding pictures etc.

Week Nine

We started off the class looking at a online news article about Theresa May and then we had analysed it on Fight hoax in depth and spoke about each factor as a class. After this in my group we had looked for Brexit stories on Google News and had each individually analysed them on Fighthoax. We then went on to each individually discuss our datasets for our infographic and tell Michael how far we have got.

In the afternoon with LJ we had started to produce our infographics using the websites she had posted on Moodle, I had used Vengage to start creating my infographic.

Week Ten

We worked on Fighthoax and went through the final analysis of each groups stories that they analysed throughout the whole semester. We then went onto having a discussion about our infographics with Michael and everyone individually went through how far they had got. Then we had a lecture about script writing.

In the afternoon with LJ we had 1-2-1 meetings about our infographic and had shown LJ the work produced so far, I had shown my infographic I had created on Vengage and LJ had provided feedback

Week Eleven

We didn’t have any classes and instead we had a 1-2-1 meeting with Michael where we had to show our work we did on the infographic and infographic story during the Easter break. Michael had given me feedback and told me what looks good and what needs improving.

That evening I had worked on my infographic and the story and had improved what Michael said to do.

Week Twelve

No lesson, I had worked on updating and finishing off my workbook and making sure everything is ready for submission.

My Infographic and Infographic story

  • I started looking for sources on knife crime and had started to email for FOI and get raw data for my story and infographic. I then decided that I wanted to change my idea as my knife crime story was getting too broad and I wanted to do something that nobody in the class was doing. I then came up with the idea of looking at the rise in number of people choosing apprenticeships over university and I had looked at numbers.
  • I had told Michael that my idea for my infographic had changed to looking at apprenticeship and university numbers in the UK. He said this was fine, so later on that day after uni I had started to find raw data for apprenticeships and university and started researching.
  • I started sending out emails for raw data and they had replied back fairly quickly which was good.
  • After I had got my data, I had started to analyse each data set as there was raw data for university and one raw data set for apprenticeships. I did this through filtering my data on Excel to make it easier for me to analyse, it had also speeded up the process.
  • In my datasets I found that after analysing them the number of people attending university in the UK has not changed drastically and has stayed in the 500,000 mark but the number of people starting apprenticeships goes up each year.
  • I also have a friend that I know called Sadie who had left university due to mental health to start a TFL apprenticeship and I got her to say how she felt about starting an apprenticeship she said “mental health is a massive issue particularly for young people like me, I’m a dropout of uni because of stress with finance, I’m now doing an apprenticeship which I don’t have to pay for”.
  • I then started to write my story and then I made my infographic using a website called Vengage which was recommended by LJ.

My raw data that I had used:

Other sources I had used:

Workbook- Introduction to Broadcast Journalism

In this semester we will start learning about Broadcast Journalism and we will be writing up a weekly workbook of what we do each week. This page also includes my workbook of my VT and audio package.

Week One-Jan 29th

  • Introduction to the module
  • We got assigned into our VT groups, I was in a group with Kika, Ameera and Arun
  • Introduction to the Ipods, we got taught how to use the iPod, the stand and microphone etc. We also got told how to put away the equipment after use in the bag
  • Introduction to the reporter app

Friday- 1st Feb

  • Introduction to Photoshop

Week Two-5th Feb

10am-1pm

  • Learn’t about health and safety when filming
  • Overview of assessments for the module
  • Learn’t about filming GV’s also known as General Views

2pm-5pm

  • Learn’t about using sources- PA Mediapoint, IRN, BoB

Friday-8th Feb

Introduction to Premiere Pro

Week Three- 12th Feb

10am-1pm

Went around the university and filmed GV’s and made a VT about student life

Week Four-19th Feb

10am-1pm

  • Viewed every groups VT’s they produced and had editing ready for viewing in class
  • Learn’t about filming PTC
  • Prepared for our Brexit VT’s

2pm-5pm

  • Learn’t about story angles, audio production and podcasts

Week Five: 26th Feb

  • We went on a trip to Parliament and in the morning we was filming GV’s with our VT groups for a VT to show in class for next week.
  • In the afternoon with Michael we had recorded audio around Parliament, I did a walk around parliament explaining what was happening around me with natural background sound.

Week Six: 5th Mar

10am-1pm

  • Had a class discussion about last night’s news
  • Watched the Brexit VT’s
  • Planning an interview

2pm-5pm

  • Interviews and discussions

Week Seven: 12th Mar

10am-1pm

  • Had a class discussion about last night’s news
  • Looked at filming sit down interviews

2pm-5pm

  • Listened to our audio we all individually recorded from our Parliament trip

Week Eight: 19th Mar

10am-1pm

  • Looked at practising Vox pops
  • We looked at script writing and pitched our audio ideas to Michael

Week Nine: 26th Mar

10am-1pm

  • Looked at profile interviews
  • Compared different news programmes that show on different channels

2pm-5pm

  • Review of our submission packages, got feedback from Michael

Week Ten: 2nd Apr

10am-1pm

  • Spoke about our VT submissions and what is required in the VT’s
  • Introduction to Inception

2pm-5pm

  • Looked at radio packages

Week Eleven: 30th Apr

10am-1pm

  • Spoke about our VT package to Rebecca
  • Started prep for our live newsday

2pm-5pm

  • Spoke about our audio packages and how far we have got

Week Twelve: 7th May

10am-5pm

  • Newsday prep

Plans for our final VT submission (Group work)

  • In my VT group it was me, Kika, Arun and Ameera. The roles we all took up were for me to be the news editor, Kika to be the VT editor, Arun to be the reporter/researcher and Ameera was the camera person who had recorded GV’s and a PTC, Vox pops and interviews etc.
  • Before we broke up for Easter my group had all come up with individual ideas, the ideas we came up with were to film the new Tortilla place that opened opposite Southwark Station, the Tate late, art exhibition which takes place on the last Friday of the month or the London Marathon 2019
  • We then had pitched our ideas to Rebecca, and it was between the Tate Late or the Marathon and in the end, we had decided that the London Marathon would be the better option to pick.
  • The London Marathon was expected to be held on the 28thApril which would be during our Easter break so as news editor I had booked out an iPod to collect.
  • During the Easter holiday, I had planned where my group would meet on filming day and the time we would meet, I had researched the time the runners would start and where they would start running.
  • In the Easter holidays I had researched and thought of potential angles for the story and pitched it to my VT group.
  • Plan for filming day was to start at 9am at Greenwich.
  • On filming day, we had all followed our individual roles that had been assigned to us, we all had looked for suitable candidates to interview whilst we were at the marathon and made sure we asked for permission to interview and got their names.
  • Kika had the role of editing the VT, so I had made sure that Arun had written up a voiceover to record in time for Kika to put into the VT but before he sent it we had all listened to it and made sure that it was fine to put into the VT. During the editing process, I made sure that Kika was comfortable with the editing the VT and she had shown us the VT to make sure everyone was happy with it.
  • I had the role of making sure the VT package form was completed by each person in the group, I also had the duty to make sure that I sent it back to everyone in the group so that they could individually submit it.

London Marathon 28th April 2019, Tate Late, Best dressed runners

  • https://www.virginmoneylondonmarathon.com/en-gb/
  • 3 vox pops needed, voiceover, GV’s, PTC, 1 interview, Clear angle
  • Plans for my audio package

Audio Package (Individual)

  • Air pollution- what’s happening, is it too high? Effects and causes of air pollution?
  • Speak to 3 people: resident that lives in Southwark, two professionals
  • DR Audrey: 02075947319
  • Barrie Hargrove: Councillor for Peckham 07944117902
  • Harriet Harman: harriet.harman.mp@parliament.uk
  • Helen Hayes: helen.hayes.mp@parliament.uk
  • Neil Coyle: neil.coyle.mp@parliament.uk
  • Adele Morris- Southwark MP 02075254377
  • Sound effects: cars and busy traffic, sound in southwark
  • I had tried to contact the London Mayor during the Easter break to see if he could be interviewed by me to talk about air pollution and what he as London Mayor is doing to tackle air pollution in London. However, I was unfortunate as there was a very long process in trying to get into contact and make time for an interview due to the London Mayor Sadiq Khan’s priorities.
  • In the end I had interviewed Miriam Rafo resident of Southwark, Dr Audrey who is senior lecturer and works in Imperial College London with the air pollution team, her and her team mainly look at the health effects of air pollution and she told me she believes air pollution is not necessarily rising. I also had the chance to interview Barrie Hargrove who is a councillor in Southwark for the Peckham ward.
  • World Health Organisation say 9/10 people breathe polluted air, this kills 7 million people each year. https://www.who.int/news-room/detail/02-05-2018-9-out-of-10-people-worldwide-breathe-polluted-air-but-more-countries-are-taking-action

Profile Interview Learning Blog

For the profile interview we was required to film the interview with our VT group and then edit the VT individually. I learn’t the way we should position the camera and how we should angle the interviewee and what background we should have in the VT. I did the filming for the interview and I found that it was very good and straightforward. I then went onto editing the VT which I found quite hard as I’m very new to using the Adobe package Premiere but as I was editing I was learning too! Next time I film an interview I will film not just the interviewee talking, I will record what she does and how she does it by showing it on the VT. I could also still have a voiceover whilst I am showing GV’s of what the interviewee is doing.

What I learned as a Journalist

From producing my Brexit VT I have learnt:

  • If there is an argument there needs to be two sides of the argument shown in the VT and not one.
  • Be aware of lighting when recording outside as it may be too sunny where viewers can’t see
  • Natural sound is good to add to the VT as being a natural GV
  • There needs to be a range of different shots e.g. very close shots
  • Add facts or figures to the VT to make it more interesting

Choosing my dataset

The dataset that I have chosen to use for my assessment project is on knife crime statistics in London in the year 2018.

I chose these statistics as my dataset as not only will I look at just the year 2018 I will look at the last few years and also I will look at figures recorded of knife crime this year. This topic interests me as there has been a lot in the news about knife crime as it rapidly increased last year.

In the dataset I can find many angles some ways can be to show that knife crime is on the rise, not all knife crime may be recorded, crime is increasing and what could be the reason towards this and I can also differentiate crime rates and maybe uncover what type of crime is the highest in London.

Types of angles in a story

Picture that says News

News story: Brexit: MPs to have final vote by 12th March, says May

Types of angles

  • National angle: this story is major news across the whole country and across the world as Britain is planning on leaving the EU
  • Local angle: it can be seen to have a local angle as the vote is happening just in the UK, so this news story applies locally.
  • Timing and proximity: a date of the 12thMarch has been included in the story this is a time of when MPs will get a final vote on Brexit.
  • Consequence: May is allowing MPs to have a final vote to make sure MPs are happy to go through with Britain leaving the EU.

Using Data In A News Story

News story I found: UK employment hits record high

I would use data to develop this story by finding data that shows how people being in employment has risen in the last few years, I would also find data that shows how many people are unemployed. I would also maybe try to interpret reasons as to why more people are getting jobs and what could be the reason towards this.

The angle I would take is employment in the UK is rising and I would add data to show this and interpret.

The Office for National Statistics have published data that shows employment over the years has risen. Click here to see the data

How we approach statistical data

Reasoning is key

People to notice how they feel about a claim before they read it and notice their own emotional reaction and think about whether they should retweet it.

People highly biased by the way they processed information

Certain things that we want to be true

Inequalities rising- within the UK or globally, consumption, gender, race, pre-tax/post tax inequality- lots of different claims can be made

Look at correlation and causation- is there a link or is it a cause

Some data can be left out as you can’t convey what has been put in and what’s missing in the data

Try understanding data by looking at averages, so you can see a tiny fraction of what you can see

Understand the back story and think about where it has come from and why has it come up, why is data worth sharing.

Does it come from an academic source?

What is the process by which the data has come in front of you?

Be curious

The State of Union speeches

The infographic from The Atlantic website which has a post on the Language of the State of the Union. It shows how American presidents use words to reflect the twists and turns of American history. The chart provides information which is very clear as it’s labelled clearly by each Presidents name, however, the scale on the chart is very big which makes it very hard to understand how many words per million some Presidents have spoken for example, Andrew Jackson has spoken in between 0 to 200 words per million, but we don’t know the exact figure. The chart may be biased towards some presidents to make them look good to the public in American history as they have been colour coded in colours red and pinks which may look more vibrant and serious.

Another infographic is from the Vox, which also extrapolates words Obama had used during his time as president. This chart is much clearer and easier to read as the scales are much smaller and easier to understand. By looking at it straight away we can understand that Obama has spoken around 7,000 words. The colour they have used on the chart is also good as it’s not too much of a bright colour which makes it hard to see writing. The chart also goes onto add comparisons to other American Presidents.

The Washington Post have an infographic of looking at the frequency of a series of selected terms grouped into 7 topics. The data is very hard to understand as the colours red and blue both overlap at times in the data, this makes it hard for people to easily read the data. A good thing about it is that if you move around the data there is information explaining parts of the data to help people have a deeper understanding. This data has got good scales and topics are separated which is good and clear. However, it’s not the best type of infographic to use as it can be quite confusing and hard to extrapolate.

All infographics differ in approaching the data types used, they all have good things to them and bad as they can all be confusing but using good scales and colours makes it easier to understand the infographics.