Belajar nulis inggris
this two graph show that trend from the value of fuel export adn value of selecter export by one country from 2000 to 2005.
the trend of value food export in million dollars was increased form 200–2005 but still under 10.000 million dollars. Its clearly different with the trend of manufacture goods export that have a fluctuative trend in 2000 until 2005. The value of manufactured goods was fall down and up with the rage of 15.000 until 25.000 million dollars. In the same range years, the trend of fuel was decreased very significant from 50.000 million dollars fall to 20.000 million dollars.
this selected export graph have a comparison with fuel export graph where the graph fuel is only fuel export and its the total of the fuel, but the graph of selected export is describe about the trend of three kind of thing that have been expoted in 2000 until 2005.
The value of total fuel decreased 50.000 form 300.000 to 250.000 in 2000–2002. This value increased very significant in a one year from 2002 until 2003 with the amount of increasing is 100.000 million dollar. But three years after that, the amount of increasing is lower than 2002–2003, the increasing from 2003 to 2004 nearly same with the increasing form 2004 to 2005 with the amount of increasing is 50.000 million dollars.
As we know from this graph, theres something happen with the fuel in the 2002 year because this year be the minimum value of the fuel export. If we compare another thing that exported in the same year, food and manufactured goods were increasing from the last year (2001). So we can analyse what happen with the fuel in 2002.
An other interesting data in this graph is the different trend from the fuel export in one graph and another graph. The first graph show that the fuel was increased again in 2002 to 2005 with the value of increased was more than 150.000 million dollars. But the other graph show that the trend of fuel was decreasing in 2002 until 2005 with the value of decreased was 50.000 million dollars. It will be a good finding to identified wht=at the reason behind this data.
