Please help!! How to extract specific rows of data from column for variable analysis?

C

collegestudent1

New Member
Joined
Nov 10, 2013
Messages
2
Hi, I have a huge data set that provides information on 10 variables for 125 countries over 10 years.
Sorry for the formatting:
[TABLE="width: 896"]
<colgroup><col width="64" span="14" style="width:48pt"> </colgroup><tbody>[TR]
[TD="width: 64"]country[/TD]
[TD="width: 64"]code[/TD]
[TD="width: 64"]year[/TD]
[TD="width: 64"]x1[/TD]
[TD="width: 64"]x2[/TD]
[TD="width: 64"]x3[/TD]
[TD="width: 64"]x4[/TD]
[TD="width: 64"]x5[/TD]
[TD="width: 64"]x6x[/TD]
[TD="width: 64"]7x[/TD]
[TD="width: 64"]8x[/TD]
[TD="width: 64"]x9[/TD]
[TD="width: 64"]x10[/TD]
[TD="width: 64"]x11[/TD]
[/TR]
[TR]
[TD]Albania[/TD]
[TD]ALB[/TD]
[TD="align: right"]2000[/TD]
[TD="align: right"]0.983642[/TD]
[TD="class: xl63, align: right"]4.74E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]96.96074[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]3.039257[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]4799.538[/TD]
[TD="align: right"]55.99678[/TD]
[TD="align: right"]3071856[/TD]
[/TR]
[TR]
[TD]Albania[/TD]
[TD]ALB[/TD]
[TD="align: right"]2001[/TD]
[TD="align: right"]1.047415[/TD]
[TD="class: xl63, align: right"]3.69E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]96.28927[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]3.710726[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]5126.29[/TD]
[TD="align: right"]56.80673[/TD]
[TD="align: right"]3077378[/TD]
[/TR]
[TR]
[TD]Albania[/TD]
[TD]ALB[/TD]
[TD="align: right"]2002[/TD]
[TD="align: right"]1.212927[/TD]
[TD="class: xl63, align: right"]3.69E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]95.27944[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]4.720564[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]5253.783[/TD]
[TD="align: right"]55.83105[/TD]
[TD="align: right"]3089778[/TD]
[/TR]
[TR]
[TD]Albania[/TD]
[TD]ALB[/TD]
[TD="align: right"]2003[/TD]
[TD="align: right"]1.381012[/TD]
[TD="class: xl63, align: right"]4.99E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]97.85657[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2.14343[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]5522.999[/TD]
[TD="align: right"]52.43145[/TD]
[TD="align: right"]3106701[/TD]
[/TR]
[TR]
[TD]Albania[/TD]
[TD]ALB[/TD]
[TD="align: right"]2004[/TD]
[TD="align: right"]1.316658[/TD]
[TD="class: xl63, align: right"]5.61E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]97.50268[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2.497324[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]5814.865[/TD]
[TD="align: right"]51.19481[/TD]
[TD="align: right"]3124861[/TD]
[/TR]
[TR]
[TD]Albania[/TD]
[TD]ALB[/TD]
[TD="align: right"]2005[/TD]
[TD="align: right"]1.464793[/TD]
[TD="class: xl63, align: right"]5.44E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]98.71395[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]1.286056[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]6101.608[/TD]
[TD="align: right"]47.74062[/TD]
[TD="align: right"]3141800[/TD]
[/TR]
[TR]
[TD]Albania[/TD]
[TD]ALB[/TD]
[TD="align: right"]2006[/TD]
[TD="align: right"]1.342914[/TD]
[TD="class: xl63, align: right"]5.52E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]98.31644[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]1.683563[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]6376.636[/TD]
[TD="align: right"]41.46697[/TD]
[TD="align: right"]3156607[/TD]
[/TR]
[TR]
[TD]Albania[/TD]
[TD]ALB[/TD]
[TD="align: right"]2007[/TD]
[TD="align: right"]1.417208[/TD]
[TD="class: xl63, align: right"]2.86E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]97.48252[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2.517483[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]6725.038[/TD]
[TD="align: right"]42.82199[/TD]
[TD="align: right"]3169665[/TD]
[/TR]
[TR]
[TD]Albania[/TD]
[TD]ALB[/TD]
[TD="align: right"]2008[/TD]
[TD="align: right"]1.297871[/TD]
[TD="class: xl63, align: right"]3.80E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]100[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]7216.156[/TD]
[TD="align: right"]44.44557[/TD]
[TD="align: right"]3181397[/TD]
[/TR]
[TR]
[TD]Albania[/TD]
[TD]ALB[/TD]
[TD="align: right"]2009[/TD]
[TD="align: right"]0.94181[/TD]
[TD="class: xl63, align: right"]5.21E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]99.9808[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0.019205[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]7427.845[/TD]
[TD="align: right"]42.92232[/TD]
[TD="align: right"]3192723[/TD]
[/TR]
[TR]
[TD]Algeria[/TD]
[TD]DZA[/TD]
[TD="align: right"]2000[/TD]
[TD="align: right"]2.87979[/TD]
[TD="class: xl63, align: right"]2.54E+10[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0.212498[/TD]
[TD="align: right"]96.74563[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]3.04187[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]6081.408[/TD]
[TD="align: right"]83.12298[/TD]
[TD="align: right"]30533827[/TD]
[/TR]
[TR]
[TD]Algeria[/TD]
[TD]DZA[/TD]
[TD="align: right"]2001[/TD]
[TD="align: right"]2.720701[/TD]
[TD="class: xl63, align: right"]2.66E+10[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0.259155[/TD]
[TD="align: right"]96.83005[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2.910798[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]6149.224[/TD]
[TD="align: right"]80.57404[/TD]
[TD="align: right"]30982214[/TD]
[/TR]
[TR]
[TD]Algeria[/TD]
[TD]DZA[/TD]
[TD="align: right"]2002[/TD]
[TD="align: right"]2.889575[/TD]
[TD="class: xl63, align: right"]2.77E+10[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0.206163[/TD]
[TD="align: right"]97.63455[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2.159288[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]6344.12[/TD]
[TD="align: right"]81.80203[/TD]
[TD="align: right"]31441848[/TD]
[/TR]
[TR]
[TD]Algeria[/TD]
[TD]DZA[/TD]
[TD="align: right"]2003[/TD]
[TD="align: right"]2.8995[/TD]
[TD="class: xl63, align: right"]2.96E+10[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0.896148[/TD]
[TD="align: right"]96.78063[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2.323222[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]6681.643[/TD]
[TD="align: right"]78.40738[/TD]
[TD="align: right"]31913462[/TD]
[/TR]
[TR]
[TD]Algeria[/TD]
[TD]DZA[/TD]
[TD="align: right"]2004[/TD]
[TD="align: right"]2.762471[/TD]
[TD="class: xl63, align: right"]3.13E+10[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0.8032[/TD]
[TD="align: right"]96.9984[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2.1984[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]6924.379[/TD]
[TD="align: right"]75.847[/TD]
[TD="align: right"]32396048[/TD]
[/TR]
[TR]
[TD]Algeria[/TD]
[TD]DZA[/TD]
[TD="align: right"]2005[/TD]
[TD="align: right"]3.257306[/TD]
[TD="class: xl63, align: right"]3.39E+10[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]1.636444[/TD]
[TD="align: right"]96.24945[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2.114109[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]7168.565[/TD]
[TD="align: right"]68.60744[/TD]
[TD="align: right"]32888449[/TD]
[/TR]
[TR]
[TD]Algeria[/TD]
[TD]DZA[/TD]
[TD="align: right"]2006[/TD]
[TD="align: right"]3.213461[/TD]
[TD="class: xl63, align: right"]3.52E+10[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0.618861[/TD]
[TD="align: right"]97.25203[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2.129109[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]7201.682[/TD]
[TD="align: right"]70.19635[/TD]
[TD="align: right"]33391954[/TD]
[/TR]
[TR]
[TD]Algeria[/TD]
[TD]DZA[/TD]
[TD="align: right"]2007[/TD]
[TD="align: right"]3.325072[/TD]
[TD="class: xl63, align: right"]3.72E+10[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0.607592[/TD]
[TD="align: right"]97.25777[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2.134638[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]7305.142[/TD]
[TD="align: right"]68.54884[/TD]
[TD="align: right"]33906605[/TD]
[/TR]
[TR]
[TD]Algeria[/TD]
[TD]DZA[/TD]
[TD="align: right"]2008[/TD]
[TD="align: right"]3.23296[/TD]
[TD="class: xl63, align: right"]4.02E+10[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0.70335[/TD]
[TD="align: right"]97.32826[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]1.968387[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]7367.172[/TD]
[TD="align: right"]65.58021[/TD]
[TD="align: right"]34428028[/TD]
[/TR]
[TR]
[TD]Algeria[/TD]
[TD]DZA[/TD]
[TD="align: right"]2009[/TD]
[TD="align: right"]3.47099[/TD]
[TD="class: xl63, align: right"]3.82E+10[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0.801152[/TD]
[TD="align: right"]97.60964[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]1.589213[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]7431.28[/TD]
[TD="align: right"]74.4745[/TD]
[TD="align: right"]34950168[/TD]
[/TR]
[TR]
[TD]Angola[/TD]
[TD]AGO[/TD]
[TD="align: right"]2000[/TD]
[TD="align: right"]0.685141[/TD]
[TD="class: xl63, align: right"]1.45E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]63.11419[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]36.88581[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2476.184[/TD]
[TD="align: right"]118.4365[/TD]
[TD="align: right"]13926373[/TD]
[/TR]
[TR]
[TD]Angola[/TD]
[TD]AGO[/TD]
[TD="align: right"]2001[/TD]
[TD="align: right"]0.676401[/TD]
[TD="class: xl63, align: right"]1.64E+09[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]62.08791[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]37.91209[/TD]
[TD="align: right"]0[/TD]
[TD="align: right"]2472[/TD]
[TD="align: right"]120.3824[/TD]
[TD="align: right"]14388244[/TD]
[/TR]
</tbody>[/TABLE]


As you can see, each country is listed ten times (once for each year) with the respective variable data.

I need to study the relationship (using a scatter plot) between two of these variables (x1 and x9) for all countries for year 2000 and 2009. I don't know how to isolate these data without individually highlighting each one, because not every row of data will be used. How do I extract a specific year (row) from each country so that I can compare these variables for that specific date? What is an efficient way to do this?
 
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Vidar said:
What about using an Autofilter or a Pivottable?
Click to expand...

I spent several hours this morning perusing the web for an answer and saw a few threads talking about those. I didn't really understand them. Our professor has given us no guidance on how to use Excel and I have no previous experience. Would you be able to explain how to use these, or do you know of a good online tutorial I could read?
 
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