‫We're now going to look at a muddled answer for line graphs, which is, of course, a common piece
‫of visual information that you could see in your task.
‫One question a few of you have been asking for more of these modeled live writing type lessons.
‫And if you do want to see more of certain things, then let me know and I will try and update and create
‫new lessons for you.
‫OK, so let's go back to our checklist in red at the top, we have our structure and organization,
‫which as always, is your paraphrased introduction.
‫The overview and to detail paragraphs, of course, will need some clear grouping which we can think
‫about whilst we write our part underneath.
‫We have a few writing features such as our adverb, verb, adjective, noun agreements and of course,
‫mixed opener's in a different mix of sentence types to use in our writing.
‫So let's move on to our question.
‫The graph below represents the total exports of clothing from three different countries over a time
‫period, summarizes the information by selecting and reporting the main features and make comparisons
‫where relevant.
‫OK, so let's take a look at the visual information that we have.
‫And once again, begin with the title.
‫So our title says Clothing exports between 1990 to 2003 and then going to take a look at the line graph
‫and see if there is a key, which there is.
‫So the three countries are Colombia, Japan and Myanmar.
‫It's worth saying that once you get to your question, it's definitely worth looking around the graph
‫for visual information to get a better understanding of the data you've been showing.
‫So back to the key.
‫We've got these three countries, Colombia, Japan and Myanmar, and they are color coded onto our line
‫graph above.
‫On the y axis, we can see millions of dollars from zero to a thousand million dollars.
‫And on the x axis, we have our years from 1990, 2000, 2011, 2012 and 2013 from just taking a quick
‫snap.
‫Look at this data.
‫The big thing that stands out is Myanmar, which has gone from zero in 1990 and sprung up all the way
‫to 800 plus 900 million dollars.
‫That's just taking a very quick glance at the data we've been showing.
‫So once again, we now need to think about creating our plan.
‫OK, so we need to begin by grouping our data into the two groups, of course, that will correlate
‫with what I describe in each detail paragraph.
‫So here is the data that we have.
‫I could group by country, although if I was to Group Colombia and Japan in Group one and Myanmar in
‫Group two, that would mean detailed paragraph two would only discuss Myanmar.
‫So to be able to compare in each detail paragraph, I think it's better to use the data to give me more
‫idea about what I can compare in each detail paragraph.
‫So let's go with Group one as being 1990 to, let's say, 2000.
‫So I will compare in fact, 2011.
‫And then for Group two, I'm going to go with 2012 to 2013.
‫So in my first detailed paragraph, I will describe all three countries between the years of 1990 to
‫2000 to 2011.
‫And my second group, which will be detailed paragraph two, will be all three countries described again
‫in 2012 and 2013.
‫So let's move on to our overview and I need to think about a few general statements that I could write
‫about.
‫I think I'm going to split into Colombia and Japan and Myanmar.
‫So that's how I'm going to describe a very general trend for each of those two.
‫So if I do C.J. for Colombia and Japan and I'm going to say overall, no large changes.
‫Although we can see, for example, with Colombia, there is an increase, it's not quite as pronounced
‫as in Myanmar.
‫Japan very much stays the same, fluctuate round about 550 million.
‫And then we need to say something for me and myself, I just add an M and then I can say huge fluctuations,
‫huge fluctuations in exports, because we can see from Moema, they get to zero all the way up to hundred
‫and nine hundred and fifty.
‫Then a huge downturn to 350.
‫So there's a lot more differences in the export from Myanmar.
‫Myanmar in comparison to the other two countries.
‫So that's my plan.
‫Let's have a quick look.
‫On 1990 to 2011, Group two is 2012 to 2013.
‫So they are mid detail paragraphs.
‫My overview, I'm going to simply say that Columbia and Japan didn't see huge changes in their exports,
‫whereas Myanmar saw very drastic differences between the years in their exports of their clothes.
‫So it's time for me to move on to actually writing this report.
‫And I do feel that I have a good understanding about the information shown to me now.
‫OK, so let's begin with our paraphrased introduction, so return to the question, the first part of
‫the question.
‫The graph below represents the total exports of clothing from three different countries over a time
‫period.
‫So I need to use my understanding of synonyms to paraphrase and rewrite from my report the line graph.
‫So instead of saying the graph below the line graph, or I could say the given line graph, the given
‫line graph represents, let's say shows instead of represents the total exports of clothing.
‫So that's very similar to what the question has said.
‫But that's OK.
‫We don't need to paraphrase and change everything from three different countries over a time period
‫of 13 years.
‫And once again, I do apologize for the spelling there.
‫So let's read back our introduction paragraph.
‫The given line graph shows the total export of clothing from three different countries over a time period
‫of 13 years.
‫So I've paraphrased the question.
‫I've used some different expressions and language and I am happy with what I have written.
‫So let's move on to our overview paragraph.
‫You remember from the plan that the overview I grouped Colombia and Japan together and stated there
‫weren't huge differences, especially not in comparison to Myanmar.
‫I also mentioned in my plan that Myanmar saw huge fluctuations in their total exports of clothes.
‫So let's begin.
‫And of course, as always, overall, we can see that Colombia and Japan.
‫Didn't see.
‫Such huge fluctuations in comparison to Myanmar.
‫So that very simply just gives an overall idea of the data that's been shown and I've managed to do
‫it in one sentence.
‫Overall, we can see that Colombia and Japan didn't see such huge fluctuations in comparison to Myanmar
‫in and let's say what the fluctuations are.
‫I didn't see such huge fluctuations in clothing exports in comparison to Myanmar, let's say, whose
‫figures changed drastically over that time period.
‫Let's have one more read through.
‫Overall, we can see that Colombia and Japan didn't see such huge fluctuations in clothing exports in
‫comparison to Myanmar, whose figures change drastically over the time period.
‫So I think that gives a really nice overview of the visual information that we have.
‫It's also important to note that I haven't included any specific figures in the overview, which you
‫shouldn't do, we save that for the detail paragraphs which I'm going to move onto now, say, from
‫the plan, you remember that I grouped Group one as 1990, 2000 and 2011.
‫So in my first detailed paragraph, I'll be explaining and describing the data from the three countries
‫over these first three years.
‫So let's begin with in 1990, Colombia and Japan.
‫Colombia and Japan.
‫Had similar exports at around, let's say, 450 to five hundred and seventy million dollars in that
‫year.
‫On the other hand, a really good mix open that we can start with.
‫On the other hand, Myanmar had zero sales of clothing, some using sales, because I think I'm using
‫exports too much.
‫Myanmar had zero sales of clothing, had zero sales of clothing that I could say had no.
‫Had no sales of clothing at all.
‫On the other hand, Myanmar had no sales of clothing at all over the next in the next 10 years, in
‫the next 10 years to 2000, Myanmar's.
‫Myanmar's figure.
‫Rose, Myanmar.
‫Sorry, apologies for my rights in that Myanmar's figure rose drastically.
‫Rose drastically to 800 million dollars, let's say, from Colombia and Japan, which are very similar,
‫around 520, let's say, of 800 million dollars, over two hundred and fifty million more than both
‫Japan and Colombia.
‫OK, let's have a quick read through.
‫So we've done the first two years.
‫I also need to describe 2011.
‫In 1990, Colombia and Japan had similar export at around 450 to hundred and seventy million dollars.
‫On the other hand, Myanmar had no sales of clothing at all.
‫So that's 1990 down in the next year, in the next 10 years.
‫This is why it's important to read your writing back in the next 10 years to 2000.
‫Myanmar's figure rose drastically.
‫So I'm using these different features of language.
‫In the next 10 years to 2000, Myanmar's figure rose drastically to 800 million dollars, over 250 more
‫than both Japan and Colombia.
‫And what do we see until 2011?
‫So we can see that all countries saw some increase into 2011.
‫So let's keep it simple and just write that onto 2010.
‫Let's not start with onto all countries.
‫So an increase.
‫All countries saw an increase in an increase in exports in 2011, so I'm not being too specific there.
‫I'm just saying that all the countries had some kind of increase.
‫I think I've wrote quite a lot for my first detailed paragraph, and I could say that Myanmar was still
‫the highest.
‫All country saw an increase in exports in 2011, with Myanmar still the highest.
‫In total sales, I'm going to say, instead of export, so that's my first three years, don't I'm now
‫going to move on to describe 2012 to 2013.
‫So there is actually quite a big change between these two years of 2011 and 2012, and that is that
‫Myanmar's figure shoots all the way down to become the lowest once again, actually almost half or pretty
‫much exactly half of what Colombia is producing in clothing that year.
‫So Myanmar is at around 350 million dollars, whereas Colombia is at 700.
‫So that's probably something that I can use using this language of halves and quarters or whatever you
‫need to do for your report.
‫It shows the examiner at different understanding of the language.
‫So let's move on to detail paragraph two.
‫Let's begin with Myanmar saw a massive downturn in clothing production and clothing export, let's say
‫in 2012, falling to 300, falling to around 350 million dollars, half of Colombia's total sales.
‫Which stands at seven hundred million dollars.
‫And let's describe Japan in this year, so Japan decreased slightly.
‫To around, let's say, five hundred and sixty million dollars to around five hundred and sixty million
‫dollars million dollars.
‫So I've described all the information about 2012.
‫Let's move on to 2013.
‫Now we can see that both Colombia and Japan see steady decreases.
‫Where is Myanmar actually has another fluctuation.
‫So and Myanmar sees an increase.
‫So we can describe this, let's say by 2013, both Colombia and Japan continued to see a decrease in
‫exports.
‫Whereas another way to say, on the other hand, whereas Myanmar.
‫So a slight increase.
‫A slight increase, although he was still the lowest producer or exporter of clothes in 2013.
‫OK, I could go on to maybe describe, you know, that Colombia was the highest in the end and Japan
‫was second and gives some more figures.
‫But to be honest, I think I've gone into quite enough detail and have described lots of the main data.
‫So let's have a quick read through.
‫Wants more.
‫OK, so from the start, from my paraphrased introduction, and I can see from my checklist paraphrased
‫introduction.
‫Yes, overview, yes.
‫Detail paragraphs two.
‫Yes, sir.
‫I know that I've structured this in the right way.
‫Clear grouping.
‫This is my data, how I've grouped and described my data here.
‫So I know the examiner is going to find this quite easy to follow.
‫So let's read through.
‫The given line graph shows the total export of clothing from three different countries over a time period
‫of 13 years.
‫Overall, we can see that Colombia and Japan didn't see such huge fluctuations in clothing exports in
‫comparison to Myanmar, whose figures changed drastically over the time period.
‫So I've got some interesting vocabulary here to describe the trends in the visual information.
‫In 1990, Columbia and Japan had similar exports at around 450 to five hundred and seventy million dollars
‫in that year.
‫So I'm comparing these two countries and saying it's quite similar.
‫There is some difference.
‫Myanmar also on the other hand, Myanmar had no sales of clothing at all.
‫In the next 10 years to 2000, Myanmar's figure rose drastically to eight hundred million dollars.
‫Some moving on to this year now rose drastically to 800 million dollars, over 250 more than both Japan
‫and Colombia.
‫So comparing again making comparisons, all countries saw an increase.
‫They need to just get rid of that.
‫All countries saw an increase in exports in 2011, with Myanmar still the highest in sales, still the
‫highest in total sales.
‫So Myanmar is very high in 2011 for their exports.
‫In fact, the highest on the whole line graph.
‫That's something you could even mention.
‫But I have chosen not to.
‫Okay.
‫Myanmar saw a massive downturn in clothing exports in 2012, falling to around 350 million dollars,
‫over half, you could say half of Colombian's of Colombia's total sales, which sat at 700 million dollars.
‫So comparing this part of the day to Japan decreased slightly to around 560 million dollars.
‫So there's a slight decrease here.
‫By 2013, both Colombia and Japan continued to see a decrease in exports, whereas Myanmar saw a slight
‫increase, although it was still the lowest exporter of clothes in 2013.
‫So that rounds up this task, one report for lying graphs that I feel that I have definitely include
‫lots of information, specific information about this visual information, and I know that my features
‫checklist is well covered.
‫So the organization is there.
‫It's easy to read.
‫And I've got lots of specific information with some good language, such as where as an although and
‫different kinds of things in here.
‫So I'm pretty happy with this task.
‫One report.
‫See you in the next lesson.