1.4. Harnessing-the-Power-of-Spreadsheet-Analytics

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Harnessing the Power of Spreadsheet Analytics
Discover how to leverage spreadsheets for
powerful insights and data-driven decision making.
by Jitendra Tomar
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Introduction to Spreadsheet Analytics
Data Exploration
Data Visualization
Data Analysis
Uncover hidden patterns, trends, and
relationships in your data to understand its
meaning.
Transform raw data into compelling charts and
graphs that communicate insights effectively.
Apply formulas and functions to manipulate,
analyze, and summarize your data for meaningful
conclusions.
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Types of Data in Spreadsheets
Numerical Data
Textual Data
Date and Time Data
Quantitative data representing measurements,
counts, or values, such as sales figures,
inventory levels, or customer demographics.
Qualitative data representing descriptions,
labels, or categories, such as customer names,
product descriptions, or survey responses.
Represents specific points in time, used for
tracking events, scheduling, and analyzing
time-series data.
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Formulas and Functions for Data Analysis
SUM
AVERAGE
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Adds all numbers in a range of cells.
Calculates the average of a range of cells.
COUNT
IF
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Counts the number of cells in a range that
contain numeric values.
Performs a logical test and returns one value if
the test is true, and another value if the test
is false.
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Pivot Tables and Pivot Charts
Pivot Tables
Pivot Charts
Dynamically summarize large datasets, allowing
you to group, sort, and filter data to gain
insights.
Visualize pivot table data, offering interactive
charts that update automatically when the pivot
table is changed.
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Visualizing Data with Charts and Graphs
Bar Charts
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Compare values across categories using
rectangular bars.
Line Charts
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Track changes over time using connected data
points.
Pie Charts
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Show parts of a whole as slices of a circle.
Scatter Plots
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Show relationships between two sets of data using
points on a graph.
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Conditional Formatting for Insights
Highlighting Trends
Use color gradients to visually highlight trends
or patterns in your data.
Identifying Outliers
Use color changes to highlight data points that
fall outside a defined range.
Enhancing Clarity
Use icon sets to represent data values with
symbols, making your data easier to understand.
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Data Validation and Cleaning
Data Validation
Ensures data conforms to pre-defined rules,
preventing errors and inconsistencies.
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Data Cleaning
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Removes duplicates, corrects typos, and addresses
inconsistencies to improve data quality.
Data Transformation
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Transforms raw data into a more usable format for
analysis, including cleaning, standardizing, and
restructuring.
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Automating Spreadsheet Workflows
Macros
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Record and automate repetitive tasks,
streamlining your work process.
VBA
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Write custom code to create complex and tailored
spreadsheet automation solutions.
API Integration
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Connect spreadsheets to other tools and
platforms, automating data exchange and
processing.
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Integrating Spreadsheets with Other Tools
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Databases
Visualization Tools
Presentation Software
Import and export data between spreadsheets and
databases for comprehensive analysis.
Create dynamic and interactive visualizations
from spreadsheet data.
Embed charts and graphs from spreadsheets into
presentations for engaging storytelling.