P366: Lecture #1 Use of Excel for analysis Lei Chen, MD Jan 6, 2002.
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Transcript of P366: Lecture #1 Use of Excel for analysis Lei Chen, MD Jan 6, 2002.
P366: Lecture #1Use of Excel for analysis
Lei Chen, MD
Jan 6, 2002
Administration
• Course web site - www.usc.edu/go/phar366
- all course material will be posted there
• Group assignment - self selected groups
- max of 5 people per group
- submit group information in today’s lab
Class Objectives
• Provide students with the basic data management and statistical analysis skills
• An opportunity to apply basic statistical knowledge
• Practice, practice and practice
Structure of Course
Four major lectures, supplemented by lab
sessions
– Lec #1: Microsoft Excel– Lec #2: Basic Microsoft Access– Lec #3: Advanced Microsoft Access– Lec #4: SPSS
Introduction to Microsoft Excel
• An electronic spreadsheet program
• Very popular and widely used
• Multiple functions provided, such as graphing, statistical tools, financial analysis tools, data mapping tools, etc.
• We will use version Excel 97
Excel Basics
Understanding Excel 97 Screen– Excel icon– Title bar– Menu bar– Tool bars– Formula bar– Scroll bar
Excel Basics
Terminology– File
• a file is operated through a window • a file can have multiple worksheets
– Worksheet • a rectangular grid • maximum size for a worksheet is 66,536 rows by
256 columns• Can also store graphs
Excel Basics
Terminology– Cell
• addressable unit of a worksheet• can store different data types
numerical
text
date / time
formula,etc
Excel Basics
• Manipulating windowsMaximize, minimize, close
• Manipulating filesCreate, open, save
• Manipulating worksheetsInsert, delete, copy/move, rename
Excel Basics
• Where can I find the commands– Menu– Tool bar– Right mouse button
Entering data
• Cell by cellClick a cell, type, move to next cell to enter
more data
• Auto-completeUse of file handles to copy, or create a series
• Importing external file
Selecting data
• Selecting cells
• Selecting columns / rows
• Selecting a data block
• Selecting the whole worksheet
Editing Data
• Move a regionCut - paste, or drag - drop
• Copy a regionCopy – paste
• Paste special
• Insert cell / column / row
• Delete cell / column / row
• Undo / redo
Formatting Data
• First select a region you want to format
• Formatting cells – Formatting numerical data – Font type, style, size and color– background color– Alignment: left, center, right, text rotation – Others to improve the display
Formatting Data
• Formatting columns / rows– Determine row height and column width– Hide / uncover to simplify the view of a
complex worksheet
• Formatting entire worksheet– Hide / uncover– Selecting a background
Basic Data Processing
• Sort– You must select all columns/rows that you want to
remain related
• Filter– A quick and easy way to find and work with a subset
of data which meet the criteria you specify– The order of data will not change
• Name box• Add comments
Advanced Data Processing
• Graphics
• Excel formulas
• Excel analysis ToolPak
Graphics
• Follow the instructions
• Select the graph type you need
• Specify the data for X-axis and Y-axis
• Name X and Y axis, title the graph
Excel Formula
• Excel supports a variety of functions
• A formula can consist of function name, operators, cell references
• Copy a formula: use of fill handle
• All formulas start with “=”
Excel Formula
• Use of cell reference in a formula– Cell reference can be entered in two ways: typed, or selected using mouse– Relative reference change when you move or copy a formula– Absolute reference stay the same type in $ sign, i.e. $E$5
Excel Formula
• Examples– Arithmetic operations: sum, aver, max, min– Logical function, “if”
IF(A3=“PAXIL”, 1, 0)
IF(A3=“PAXIL”, 2, IF(A3=“Prozac”, 1, 0))– Calculate age using two dates
Excel AnalysisToolPak
• Go to “Tool” in menu, then Data analysis
• A variety of statistical analysis available
• Two examples– T-test– Regression
Example-Ttest
• Comparing two group means
• Sorting data first according to the intervention variable
Example - regression
• Prepare independent and dependent variables, including dummy variables
• Use Excel formula
• Specify the data as independent and dependent variables
• It is easy, isn’t it?
Summary
• Those are the Excel Basics
• Excel has limitations– If you wish to manage large or sophisticated
database, you may use Access– If you analysis is large or sophisticated, you
may want to use others, i.e. SPSS