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Deze oefening maakt deel uit van de cursus

Gegevens analyseren in Tableau

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Learn best practices for organizing fields into dimensions and measures and how to configure date and time fields for trend analysis. All the while, you’ll use Calculated Fields, quick table calculations, and highlight actions to elevate your visualizations and reveal the hidden insights.

Exercise 1: Data preparation Exercise 2: Non-aggregating numerical dimensions Exercise 3: Preparing the data Exercise 4: Measures and calculated fields Exercise 5: Highlighter Exercise 6: Calculated Fields to extend data Exercise 7: DATEDIFF function Exercise 8: Weekday or weekend?Exercise 9: Highlighter for multiple rows Exercise 10: Visualizations for exploratory analysis of trends Exercise 11: Discrete or continuous time analysis?Exercise 12: Discrete time analysis and Quick Table Calculations Exercise 13: Low usage trends Exercise 14: Weekly pattern by user type Exercise 15: Slicing and dicing Exercise 16: Weekday trends by gender and time of day Exercise 17: Bubble chart Exercise 18: Scheduling a promotional discount

In this chapter, you’ll get to know more about Divvy users. Learning about them provides valuable information toward successful and continued engagement. To do this, you’ll build bar charts, KPI charts, and histograms with variable bin width. You’ll create additional insights by adding filters to your visualizations.

Exercise 1: Wie zijn je klanten?Exercise 2: Ontbrekende informatie Exercise 3: Gebruikersgegevens verkennen Exercise 4: Maak kennis met de Divvy-gebruikers Exercise 5: Filters toevoegen Exercise 6: Een KPI-dashboard bouwen

Huidige oefening

Exercise 7: Gebruikers-KPI's opmaken Exercise 8: Een gebruikersdashboard maken Exercise 9: Het dashboard verbeteren Exercise 10: De verdeling van gebruikers Exercise 11: Het juiste diagramtype kiezen Exercise 12: Verdelingen visualiseren Exercise 13: Een histogram gebruiken Exercise 14: Een lijndiagram gebruiken Exercise 15: Werken met bins Exercise 16: De bin-grootte aanpassen Exercise 17: Leeftijd van day pass-gebruikers verkennen

Dive deeper into maps and elevate geographic data with layers and density. You'll customize Tooltips and learn how to embed them with more information. You'll also learn more about Quick Table Calculations and apply them to your visualizations.

Exercise 1: Interactive mapping of customer activity over time Exercise 2: Customer activity in motion Exercise 3: Visualizing concentration of activity Exercise 4: Tableau's new density mark type Exercise 5: Layering and total dock utilization Exercise 6: Splitting the map Exercise 7: Enhancing the map Exercise 8: Overlaying the maps Exercise 9: Quick table calculations for ranking Exercise 10: What goes where?Exercise 11: Combining characteristic and quick table calculations Exercise 12: Adding details without noise Exercise 13: Breaking out by customer type Exercise 14: KPIs and time segments Exercise 15: Charting station KPIs Exercise 16: From bubbles to donuts Exercise 17: Analyzing our results

Expand your Tableau toolbox with groups, sets, and parameters. You'll create groups using Lasso selection and Calculated Fields. You'll also use Parameters to enable users to dynamically input changes to your visualizations. Finally, you'll create Sets and compare your findings to an external weather data source.

Exercise 1: Groups Exercise 2: Groups for regions Exercise 3: Lasso selection Exercise 4: Editing groups Exercise 5: Creating seasonal groups Exercise 6: Seasons Exercise 7: Ranking dashboard Exercise 8: Embedding in the tooltip Exercise 9: Parameters and sets Exercise 10: Parameter characteristics Exercise 11: Parameters Exercise 12: Replacing rank with a parameter Exercise 13: Color by parameter Exercise 14: Sets Exercise 15: Set for windiness Exercise 16: Divvy trips and windiness Exercise 17: Divvy trips and temperature