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Excelling with Excel Advanced Excel Functions for Collection Analysis Charleston Conference 2013 Denise Pan University of Colorado Denver [email protected] Gabrielle Wiersma University of Colorado Boulder [email protected]

Excelling with Excel: Advanced Excel Functions for Collection Analysis

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Denise Pan (speaker), Gabrielle Weirsma (speaker)

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Page 1: Excelling with Excel: Advanced Excel Functions for Collection Analysis

Excelling with Excel

Advanced

Excel Functions for

Collection Analysis

Charleston Conference 2013

Denise Pan

University of Colorado Denver [email protected]

Gabrielle Wiersma

University of Colorado Boulder [email protected]

Page 2: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Journal Cancellation Project

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Goal: identify journal titles for cancellation from one publisher package

Objective: Cancel $7,000 or 8%

How:

based on cost per use

usage trends

impact factor and faculty input

Data sources:

ILS data including subscription costs (.txt)

COUNTER usage

reports (.xls)

Journal Citation

Reports (.txt)

Faculty feedback;

rank journals in order

of importance to

teaching/research

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University of Colorado Boulder | Denver

Importing Data

Text Import Wizard

Data Get External Data From Text

Delimited

Fixed width

File Origin

Import ILS sample data and SAVE

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University of Colorado Boulder | Denver

Data From Text

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Page 5: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Delimiter: What

separates your

data into columns

File Origin:

How is your data

encoded?

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Page 6: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Text Import Wizard–Step 1 of 3

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Page 7: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Text Import Wizard–Step 2 of 3

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Page 8: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Text Import Wizard–Step 3 of 3

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Page 9: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Create a

Copy

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Page 10: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Formatting Data

Convert data to a table:

Insert Table (select data)

Format as Table

Freezes first row

Creates filters

Automatically fills in formulas

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Page 11: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Insert Table (Ctrl +T)

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Page 12: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Highlight and Remove Duplicates

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Page 13: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Table Tools Add Total Row

(Ctrl + Shift + T)

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Page 14: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Average, Count, Max, Min,

Sum, and More Functions

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Page 15: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Connecting Data with VLOOKUP

lookup_value is the unique identifier or key that is in both spreadsheets (ISSN, record #, title)

Table_Array tells Excel where to look for the data Col_Index_Number tells Excel which column to you

want to pull data from and display in your spreadsheet

Range lookup TRUE approximate match (this is useful for titles or other

fields that might have slight variation) FALSE exact match (this is useful if you only want an

exact match and works well if you are using a numerical match point like ISSN)

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Page 16: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Add Usage Statistics with

VLOOKUP

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University of Colorado Boulder | Denver

Analyzing the Data

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Calculate cost

per use

Error messages:

#DIV/0!, #N/A,

#NAME?, #NULL!,

#NUM!, #REF!,

and #VALUE!

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University of Colorado Boulder | Denver

Calculate Cost Per Use

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Page 19: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

IFERROR

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Page 20: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Conditional Formatting

Insert data bars to visually represent the

cost of each journal

Insert icon sets to represent variation in cost

per use

Highlight Top 5% to identify journals for

cancellation

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Page 21: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Pivot Tables

& PivotCharts

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PivotTables can answer questions such as

What is the total usage for all journals by year?

What is the use for each journal title by year?

Which journal titles were not used ?

Which journal titles were used the most?

Workshop Scenario:

Usage Trends Journal (JR1): Successful Full-Text Article Requests

Page 22: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

PivotTables What is the total usage for all journals by year?… Summary by Year PivotTable

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Click on

to expand

list and see

journal titles

Shows how PivotTables: • Subtotal and summarize

data by categories and

subcategories.

• Expand and collapse levels

of data to focus your results

• Drill down to details from the

summary data.

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University of Colorado Boulder | Denver

Before building PivotTables… Create an All Data Worksheet

Multiple years of usage data in one worksheet

Suggestions for success

• Keep a copy of original source data in workbook

• Differentiate data by adding ‘Year’ column

• Don’t copy ‘Total for all journals’ row – inflates usage

• Name each column in row 1 (create header)

• Mind your column headings (carefully copy & paste)

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Page 24: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Try later at home Create Worksheet |All Usage 1. In the “4_At-Home”folder,

open the All_Data_try.xls

2. Create an “All Usage” worksheet

a) Copy header row & add year column to end

b) Copy & paste monthly usage for each title.

Note: do not copy “Total for all journals” row.

c) Add the year, repeat until completed

d) Add zero for N/A months (July-Dec 2013),

and shift values YTD Total, YTD HTML, YTD PDF

3. Compare your results to All_Data_FNL.xls

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Page 25: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Creating PivotTables

1. Select all

2. Insert PivotTable

3. Create new

worksheet

(Default)

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Page 26: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

What is the total usage for all journals by year?… Summary by year

4. Rename worksheet as

“Summary by year”

5. Drag and drop fields to

• Report Filter: YTD Total

• Row Labels: Year & Title

• Values: Title, YTD Total,

YTD HTML, YTD PDF

6. Change Value Field

Settings to Sum for

for YTD Total, YTD HTML,

YTD PDF

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Page 27: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

What is the use for each journal title by year?... Use by title PivotTable

1. Create a copy of “Summary

by year” worksheet

2. Change name to

“Use by title”

3. Move Year down and

Title up in Row Labels

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Page 28: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Which journal titles were not used ? Zero use titles PivotTable

1. Create a copy of

“Use by title”

worksheet

2. Change name to

“Zero use titles”

3. Change the

“YTD Total”

report filter

from (All) to 0

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Page 29: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Which journal titles were used the most?...Top 10 titles PivotTable

1. Create a copy of

“Zero use titles” worksheet

2. Change name to

“Top 10 titles”

3. Change the “YTD Total”

report filter to all

except 0 and (blank)

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Page 30: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

1. Create a copy of

“Zero use titles” worksheet

2. Change name to

“Top 10 titles”

3. Change the “YTD Total”

report filter to all

except 0 and (blank)

4. Select Row Labels

“Value Filters”

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Which journal titles were used the most?...Top 10 titles PivotTable

Page 31: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

1. Create a copy of

“Zero use titles” worksheet

2. Change name to

“Top 10 titles”

3. Change the “YTD Total”

report filter to all except 0

4. Select Row Labels

“Value Filters”

5. Select Top 10…

6. Filter by Sum YTD Total

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Which journal titles were used the most?...Top 10 titles PivotTable

Page 32: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

PivotTable to PivotChart Summary by Year

1. Click the PivotTable to display the PivotTable Tools, and the Options tab.

2. Click PivotChart.

3. In the Insert Chart dialog box, click the Column chart type and click OK.

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Page 33: Excelling with Excel: Advanced Excel Functions for Collection Analysis

University of Colorado Boulder | Denver

Creating PivotChart Summary by year

1. Using the “All Usage”

worksheet

2. Select all

3. Insert PivotChart

4. Create new

worksheet (Default)

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University of Colorado Boulder | Denver

Creating PivotChart Summary by year 5. Rename worksheet as

“Summary by year chart”

6. Drag and drop fields to

• Report Filter: YTD Total

• Row Labels: Year

• Values: YTD Total,

YTD HTML, YTD PDF

7. Change Value Field

Settings to Sum for

for YTD Total, YTD HTML,

YTD PDF

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