Project 2 - Gender Bias in Science and Technical field
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Data Preparation:
- Ensure you have the dataset with the required information about literacy rates in Tamilnadu, including city-wise ranks, population, gender-wise population, and other relevant metrics.
- Load the dataset into Tableau and clean the data if necessary.
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Dashboard Layout:
- Begin by designing the layout of your dashboard to resemble an article or a story.
- Use appropriate titles, headings, and subtitles to convey the purpose and meaning of each visualization.
- Consider using text boxes and annotations to provide context and explanations for the data.
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Visualizations:
- Create visualizations that address the business requirements mentioned in the description.
- For example, you can create bar charts, pie charts, line charts, or any other relevant visualization to show the literacy rates in different cities and their ranks.
- Use filters and parameter controls to allow users to interact with the data and explore specific aspects.
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Gender Comparison:
- Create visualizations that compare the female population to the total population for each city.
- This can be done using a stacked bar chart or a grouped bar chart.
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Scholarship/Beneficiaries:
- Visualize the scholarship/beneficiary data for each city using appropriate charts like bar charts or treemaps.
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Institutions and Teachers:
- Show the number of institutions available in each city using a suitable chart.
- Display the number of teachers available in each city using a similar chart.
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Additional Elements:
- Add any other relevant data or insights that contribute to the overall understanding of literacy rates in Tamilnadu.
- Ensure that the visualizations are easily understandable and visually appealing.
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Storytelling:
- Arrange the visualizations in a logical order to tell a coherent and meaningful story about literacy rates in Tamilnadu.
- Use captions, annotations, and text to guide the audience through the insights.
Once you have designed your dashboard in Tableau following the above guidelines, you can save and share it with others to empower mission-driven organizations in their efforts to leverage data visualization for social change.