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Analytics and Visualization

Sambodhi > Blog > Analytics and Visualization
05 May
Triangulation
Triangulation: The Key to Validating Data Analysis Findings

Triangulation is a powerful research method used to validate and strengthen research findings, using multiple techniques to investigate a research question.

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01 May
Pie charts
Pie Chart: A Revolutionizing Data Visualization Tool

Graphs and charts help us make educated decisions and solve problems when data is presented clearly and concisely. The pie chart is one example.

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27 Apr
Theory of Change
Theory of Change: The Importance of Planning for Success

Theory of Change (ToC) is a powerful tool that helps organizations and individuals understand how their efforts can lead to a desired outcome.

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21 Apr
Cost-benefit analysis
Cost-Benefit Analysis to Optimize Business Decision-Making

Cost-benefit analysis is a technique that is an indispensable business analytics tool based on a data-heavy research model.

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14 Apr
measures of central tendency
Measures of Central Tendency: Exploring Mean, Median & Mode

When you have a data set, it's important to understand what it represents and how it behaves by looking at the measures of central tendency.

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10 Apr
Word clouds
Word Clouds and Qualitative Data Analysis

With the amount of data available today, finding tools that help organize the data is crucial, one of them being word clouds.

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04 Feb
The Big Three of Modern Charting: Mapping the History of Data Visualization Through its Pioneers
The Big Three of Modern Charting: Mapping the History of Data Visualization Through its Pioneers

Visualization is not a new trend: it has existed since the advent of human existence in this world.

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27 Jan
Delving Deep in Data Visualization
Delving Deep in Data Visualization

Did you know that people tend to classify themselves as either visual or verbal thinkers?  

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31 Oct
Multiple Baseline Design: The concept, application, and analysis
Multiple Baseline Design: The concept, application, and analysis  

We frequently employ interrupted time series as an evaluation approach to create counterfactuals for impact evaluation.

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