2.3. Tables: Organize Data With Clarity (Looker Studio Masterclass) - (Google Data Studio Tutorial)
6.4 هزار بار بازدید -
2 سال پیش
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In this video, I'm going
In this video, I'm going to teach you how to organize data with clarity using tables in Looker Studio. Tables can be a powerful way to communicate data and tell stories, and I'll show you how to make the most of them. We'll explore dimensions and metrics, learn how to add optional metrics, and navigate the updated tables interface. We'll also dive into techniques for highlighting values, such as heat maps, enabling bars, and setting targets, all to make your data easier to read and understand.
To further enhance your tables, we'll cover conditional formatting, which can help you quickly identify rows or categories of values based on specific criteria. With these techniques, you'll be able to create engaging, informative, and user-friendly tables that make your data shine.
00:00 The Role of Tables in Data Visualization
00:26 Time Series and Data Breakdown
00:44 Understanding Dimensions and Metrics
02:00 Recent Updates to Data Studio Tables
02:30 Identifying Trends with Tables
02:58 Heat Maps for Quick Value Identification
03:44 Using Bars to Enhance Data Reading
04:21 Setting Targets in Tables
05:01 Conditional Formatting in Tables
06:18 Q&A on Tables and Conditional Formatting
---
- Organize data using tables
- Explore dimensions and metrics
- Add optional metrics
- Navigate updated tables interface
- Highlight values with heat maps, bars, and setting targets
- Apply conditional formatting for quick identification of rows/categories
💬 http://lookerstudio.community → To get help with Looker Studio.
📩 http://lookerstudio.tips → To receive my Looker Studio tips & updates newsletter.
🔔 Subscribe and turn on notifications so you don't miss the future lessons!
Looker Studio Certification:
When you're ready, take the final exam to test your knowledge and become a certified Looker Studio Expert →
https://lookerstudiomasterclass.com/l...
Most of the time, we do not need a fancy visualization to communicate a thought. A table can be a perfect way of telling a story and a good complement to other visualizations to provide details.
In this lesson we’ll learn everything about tables! From simple rows and columns, to using heatmaps, bars, metric targets, optional metrics, and conditional formatting.
2.3. Tables in Looker Studio
Why Use Tables?
While visualizations are great, sometimes a table is the perfect way to communicate data and tell a story. Tables can provide a more detailed view, complementing other visualizations such as time series charts.
-- Understanding Tables
In Looker Studio, tables display dimensions in rows and metrics in columns.
Dimensions describe properties of entities, while metrics are numerical values that count or measure entities.
-- Table Features
Tables can include grand totals, pagination, row numbers, and optional metrics. With Looker Studio's recent update, you can now have up to 100 metrics in a table and enable horizontal scrolling for easier viewing.
-- Highlighting Values
To make tables easier to read, Looker Studio offers several ways to highlight values:
1. Heatmaps - Display the highest and lowest values with different shades of color. This helps quickly identify high and low values, but isn't ideal for comparing different values.
2. Bars - Show bars along with numbers in each column for easy comparison of values and identification of trends and patterns.
3. Targets - Set a target value for a metric, which can be configured under the style tab when a table is selected.
-- Conditional Formatting
Conditional formatting can be applied to tables to highlight rows or values based on specific criteria. For example, you can change the background color for new visitors or highlight transactions above or below a certain value.
To access conditional formatting settings, select a table and go to the style tab at the top. You can define multiple conditional formatting rules and choose whether to change the background color, font color, entire row, or just the matching column.
To further enhance your tables, we'll cover conditional formatting, which can help you quickly identify rows or categories of values based on specific criteria. With these techniques, you'll be able to create engaging, informative, and user-friendly tables that make your data shine.
00:00 The Role of Tables in Data Visualization
00:26 Time Series and Data Breakdown
00:44 Understanding Dimensions and Metrics
02:00 Recent Updates to Data Studio Tables
02:30 Identifying Trends with Tables
02:58 Heat Maps for Quick Value Identification
03:44 Using Bars to Enhance Data Reading
04:21 Setting Targets in Tables
05:01 Conditional Formatting in Tables
06:18 Q&A on Tables and Conditional Formatting
---
- Organize data using tables
- Explore dimensions and metrics
- Add optional metrics
- Navigate updated tables interface
- Highlight values with heat maps, bars, and setting targets
- Apply conditional formatting for quick identification of rows/categories
💬 http://lookerstudio.community → To get help with Looker Studio.
📩 http://lookerstudio.tips → To receive my Looker Studio tips & updates newsletter.
🔔 Subscribe and turn on notifications so you don't miss the future lessons!
Looker Studio Certification:
When you're ready, take the final exam to test your knowledge and become a certified Looker Studio Expert →
https://lookerstudiomasterclass.com/l...
Most of the time, we do not need a fancy visualization to communicate a thought. A table can be a perfect way of telling a story and a good complement to other visualizations to provide details.
In this lesson we’ll learn everything about tables! From simple rows and columns, to using heatmaps, bars, metric targets, optional metrics, and conditional formatting.
2.3. Tables in Looker Studio
Why Use Tables?
While visualizations are great, sometimes a table is the perfect way to communicate data and tell a story. Tables can provide a more detailed view, complementing other visualizations such as time series charts.
-- Understanding Tables
In Looker Studio, tables display dimensions in rows and metrics in columns.
Dimensions describe properties of entities, while metrics are numerical values that count or measure entities.
-- Table Features
Tables can include grand totals, pagination, row numbers, and optional metrics. With Looker Studio's recent update, you can now have up to 100 metrics in a table and enable horizontal scrolling for easier viewing.
-- Highlighting Values
To make tables easier to read, Looker Studio offers several ways to highlight values:
1. Heatmaps - Display the highest and lowest values with different shades of color. This helps quickly identify high and low values, but isn't ideal for comparing different values.
2. Bars - Show bars along with numbers in each column for easy comparison of values and identification of trends and patterns.
3. Targets - Set a target value for a metric, which can be configured under the style tab when a table is selected.
-- Conditional Formatting
Conditional formatting can be applied to tables to highlight rows or values based on specific criteria. For example, you can change the background color for new visitors or highlight transactions above or below a certain value.
To access conditional formatting settings, select a table and go to the style tab at the top. You can define multiple conditional formatting rules and choose whether to change the background color, font color, entire row, or just the matching column.
2 سال پیش
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