“COMP313/513 Assignment 1: Data analysis using pivot tables Due 23rd March 2015 I”

“COMP313/513 Assignment 1: Data analysis using pivot tables Due 23rd March 2015 I”

“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I”

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“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I”

“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I”

“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
In this assignment you will access data from a website in the form of plain text and use this to prepare
a spreadsheet. You will then construct pivot tables to analyse data and extract meaningful quantities.
Finally you will report the results of your analysis.
1 Prepare a spreadsheet
1. Go to the Bureau of Meteorology web site:
http://www.bom.gov.au/climate/dwo/201501/html/IDCJDW2004.201501.shtml
containing weather observations for Armidale in January 2015.
2. Click on the plain text version under Other formats. This links you to a plain text le of the
observation data.
3. Now copy and paste this text into a spreadsheet. Only copy the raw data and data headings not
the description at the beginning of the le. The data will probably all go into one column. If this
happens select the column (click on A) then look in the toolbar menu: Data ! Text to Columns.
Select the comma separator option and click o.k. Now delete the column that the original data was
copied into (column A) { this will re-format your spreadsheet to be easily readable if all goes well.
4. Now change all the numerical entries in the date column to January. This can be done by changing
only the rst cell copying it selecting the whole column then pasting. Save the spreadsheet le as
armidale jan.
5. Repeat steps 1-4 for the November 2014 data:
http://www.bom.gov.au/climate/dwo/201411/html/IDCJDW2004.201411.shtml
1
2 Construct pivot tables
6. Construct pivot tables as shown in class (Data ! Pivot Table) to complete the table shown below.
Format your numbers to 2 decimal places.
Date 9am Wind Minimum Maximum Average Maximum Average
Direction Temperature (C) Temperature (C) Temperature (C) Rainfall (mm)
November E ENE
ESE
November All
Others
January E ENE
ESE
January All
Others
3 Report results
7. What rainfall average maximum temperature and morning-wind-direction trends do you notice
for January? How do these change in November? How does the maximum temperature (not the
average maximum temperature) change in the two months listed?
8. Submit your spreadsheet/pivot-table les as a csv or equivalent and the formatted table/analysis
as a pdf. These les should be submitted through the COMP313/513 Moodle site:
http://moodle.une.edu.au/course/view.php?id=9965
2
PLACE THIS ORDER OR A SIMILAR ORDER WITH US TODAY AND GET AN AMAZING DISCOUNT “

The post “COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I”
appeared first on M Essays.

“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I”

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“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I”

“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I”

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“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I” 

“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I”

“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
In this assignment you will access data from a website in the form of plain text and use this to prepare
a spreadsheet. You will then construct pivot tables to analyse data and extract meaningful quantities.
Finally you will report the results of your analysis.
1 Prepare a spreadsheet
1. Go to the Bureau of Meteorology web site:
http://www.bom.gov.au/climate/dwo/201501/html/IDCJDW2004.201501.shtml
containing weather observations for Armidale in January 2015.
2. Click on the plain text version under Other formats. This links you to a plain text le of the
observation data.
3. Now copy and paste this text into a spreadsheet. Only copy the raw data and data headings not
the description at the beginning of the le. The data will probably all go into one column. If this
happens select the column (click on A) then look in the toolbar menu: Data ! Text to Columns.
Select the comma separator option and click o.k. Now delete the column that the original data was
copied into (column A) { this will re-format your spreadsheet to be easily readable if all goes well.
4. Now change all the numerical entries in the date column to January. This can be done by changing
only the rst cell copying it selecting the whole column then pasting. Save the spreadsheet le as
armidale jan.
5. Repeat steps 1-4 for the November 2014 data:
http://www.bom.gov.au/climate/dwo/201411/html/IDCJDW2004.201411.shtml
1
2 Construct pivot tables
6. Construct pivot tables as shown in class (Data ! Pivot Table) to complete the table shown below.
Format your numbers to 2 decimal places.
Date 9am Wind Minimum Maximum Average Maximum Average
Direction Temperature (C) Temperature (C) Temperature (C) Rainfall (mm)
November E ENE
ESE
November All
Others
January E ENE
ESE
January All
Others
3 Report results
7. What rainfall average maximum temperature and morning-wind-direction trends do you notice
for January? How do these change in November? How does the maximum temperature (not the
average maximum temperature) change in the two months listed?
8. Submit your spreadsheet/pivot-table les as a csv or equivalent and the formatted table/analysis
as a pdf. These les should be submitted through the COMP313/513 Moodle site:
http://moodle.une.edu.au/course/view.php?id=9965
2
PLACE THIS ORDER OR A SIMILAR ORDER WITH US TODAY AND GET AN AMAZING DISCOUNT “

The post “COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I”
appeared first on M Essays.

“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I”

“COMP313/513 Assignment 1:
Data analysis using pivot tables
Due 23rd March 2015
I”