SlideShare uma empresa Scribd logo
1 de 20
Media.Monks Proprietary & Confidential 1
Data Studio - dynamic filtering - 2 use cases
Media.Monks Proprietary & Confidential 2
Make your dashboards interactive
with these techniques
Data Studio Dynamic Filters
Media.Monks Proprietary & Confidential 3
Filtering a Table
Media.Monks Proprietary & Confidential 4
Media.Monks Proprietary & Confidential 4
https://media.monks.com/careers
The careers section on
media.monks.com is extremely
popular. We want to make the
user experience optimal so we
measure filter usage.
Users search, choose one or
more locations, and one or more
teams to find roles they want to
apply for.
Media.Monks Proprietary & Confidential 5
The data exhaust from the open positions filters
tells us where, and what candidates are looking
for.
The GA4 data exhaust provides rich insights -
how can we democratise the data through a
Data Studio dashboard?
What are
people filtering
on?
Media.Monks Proprietary & Confidential 6
Media.Monks Proprietary & Confidential 6
Media.Monks Proprietary & Confidential 7
Media.Monks Proprietary & Confidential 7
GA4 Config
The chosen filter values are sent as event parameters with the hit.
Each filter type is recorded as a named event parameter that is registered as a Custom
Dimension:
Media.Monks Proprietary & Confidential 8
Media.Monks Proprietary & Confidential 8
Show multiple tables
With 5 filters, we might choose to show
5 tables in one report.
Busy, messy, harder to read and focus
on one filter type.
Filter Options
Filter one table
Choose the custom dimension to show
in the table using a filter.
How can the static table dimension
become dynamic?
Media.Monks Proprietary & Confidential 9
Media.Monks Proprietary & Confidential 9
Control > Fixed-size list
Create a Fixed-size list and populate it
with a parameter.
Add a parameter using the “ADD A
PARAMETER” link at the bottom of the list
of available fields:
Media.Monks Proprietary & Confidential 10
Media.Monks Proprietary & Confidential 10
Parameters are SO useful!
Name it, give it an ID, choose the data type
(Text, number (whole or decimal), Boolean).
Specify permitted values to build a list of
options.
These will then populate the Fixed-size list to
choose from. The label is visible to the user,
the value must match the custom dimension
name.
Media.Monks Proprietary & Confidential 11
Media.Monks Proprietary & Confidential 11
Rename Custom Dimensions if necessary
It doesn’t matter that the original event parameter or CD name choice wasn’t perfect, rename the fields in the
data source so that they match the values specified in the Fixed-item list parameter:
Media.Monks Proprietary & Confidential 12
Media.Monks Proprietary & Confidential 12
Create a formula to choose the dimension
Based on the chosen Filter value, the formula outputs the required Custom Dimension to populate the table:
Media.Monks Proprietary & Confidential 13
Media.Monks Proprietary & Confidential 13
Voila!
Media.Monks Proprietary & Confidential 14
Filtering a graph
Media.Monks Proprietary & Confidential 15
Choose which metrics you want to visualise.
Add them all, see a pattern in the aggregate.
Add selected metrics to compare.
You don’t need side by side or layered charts
with a filter to help clean the visualisation.
N metrics
1 filtered graph
Media.Monks Proprietary & Confidential 16
Media.Monks Proprietary & Confidential 16
Create a checkbox for each metric
Create a boolean parameter for each metric and assign it to the
appropriate checkbox
Media.Monks Proprietary & Confidential 17
Media.Monks Proprietary & Confidential 17
Create a formula for each metric that references the state of the
appropriate checkbox
Media.Monks Proprietary & Confidential 18
Media.Monks Proprietary & Confidential 18
Create a formula for each metric that references the state of the
appropriate checkbox
Media.Monks Proprietary & Confidential 19
Media.Monks Proprietary & Confidential 19
Voila!
Media.Monks Proprietary & Confidential 20
Questions?
Ask your favourite monk
doug.hall@media.monks.com

Mais conteúdo relacionado

Mais procurados

MPG MarTech Market Update - June 2022
MPG MarTech Market Update - June 2022MPG MarTech Market Update - June 2022
MPG MarTech Market Update - June 2022Madison Park Group
 
Managing Millions of Tests Using Databricks
Managing Millions of Tests Using DatabricksManaging Millions of Tests Using Databricks
Managing Millions of Tests Using DatabricksDatabricks
 
Why the hell do we need strategy?
Why the hell do we need strategy? Why the hell do we need strategy?
Why the hell do we need strategy? Eline Goethals
 
Paths to more personal and collaborative knowledge graphs
Paths to more personal and collaborative knowledge graphsPaths to more personal and collaborative knowledge graphs
Paths to more personal and collaborative knowledge graphsAlan Morrison
 
Taming the ever-evolving Compliance Beast : Lessons learnt at LinkedIn [Strat...
Taming the ever-evolving Compliance Beast : Lessons learnt at LinkedIn [Strat...Taming the ever-evolving Compliance Beast : Lessons learnt at LinkedIn [Strat...
Taming the ever-evolving Compliance Beast : Lessons learnt at LinkedIn [Strat...Shirshanka Das
 
Location Intelligence: The Secret Sauce for OOH Advertising
Location Intelligence: The Secret Sauce for OOH AdvertisingLocation Intelligence: The Secret Sauce for OOH Advertising
Location Intelligence: The Secret Sauce for OOH AdvertisingCARTO
 
Is Consent Mode Working.pdf
Is Consent Mode Working.pdfIs Consent Mode Working.pdf
Is Consent Mode Working.pdfDoug Hall
 
Web-Scale Graph Analytics with Apache® Spark™
Web-Scale Graph Analytics with Apache® Spark™Web-Scale Graph Analytics with Apache® Spark™
Web-Scale Graph Analytics with Apache® Spark™Databricks
 
10 Must-HAve GA4 Reports for SEO - Brighton SEO Apr 2023
10 Must-HAve GA4 Reports for SEO - Brighton SEO Apr 202310 Must-HAve GA4 Reports for SEO - Brighton SEO Apr 2023
10 Must-HAve GA4 Reports for SEO - Brighton SEO Apr 2023AccuraCast
 
Creating a data driven culture
Creating a data driven cultureCreating a data driven culture
Creating a data driven culturePoojitha B
 
GDO - Google Discover Optimization - (Congreso Web 2019)
GDO - Google Discover Optimization - (Congreso Web 2019)GDO - Google Discover Optimization - (Congreso Web 2019)
GDO - Google Discover Optimization - (Congreso Web 2019)David Esteve Ortiz
 
Introducing Databricks Delta
Introducing Databricks DeltaIntroducing Databricks Delta
Introducing Databricks DeltaDatabricks
 
Managing Data Science Projects
Managing Data Science ProjectsManaging Data Science Projects
Managing Data Science ProjectsDanielle Dean
 
Scaling and Modernizing Data Platform with Databricks
Scaling and Modernizing Data Platform with DatabricksScaling and Modernizing Data Platform with Databricks
Scaling and Modernizing Data Platform with DatabricksDatabricks
 
SEOWars: Rstudio aplicado a SEO #sob22
SEOWars: Rstudio aplicado a SEO #sob22SEOWars: Rstudio aplicado a SEO #sob22
SEOWars: Rstudio aplicado a SEO #sob22MJ Cachón Yáñez
 
The Importance of Metadata
The Importance of MetadataThe Importance of Metadata
The Importance of MetadataDATAVERSITY
 
Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)
Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)
Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)Sergey Karayev
 
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptx
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptxKnowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptx
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptxNeo4j
 

Mais procurados (20)

MPG MarTech Market Update - June 2022
MPG MarTech Market Update - June 2022MPG MarTech Market Update - June 2022
MPG MarTech Market Update - June 2022
 
Managing Millions of Tests Using Databricks
Managing Millions of Tests Using DatabricksManaging Millions of Tests Using Databricks
Managing Millions of Tests Using Databricks
 
Why the hell do we need strategy?
Why the hell do we need strategy? Why the hell do we need strategy?
Why the hell do we need strategy?
 
Paths to more personal and collaborative knowledge graphs
Paths to more personal and collaborative knowledge graphsPaths to more personal and collaborative knowledge graphs
Paths to more personal and collaborative knowledge graphs
 
Taming the ever-evolving Compliance Beast : Lessons learnt at LinkedIn [Strat...
Taming the ever-evolving Compliance Beast : Lessons learnt at LinkedIn [Strat...Taming the ever-evolving Compliance Beast : Lessons learnt at LinkedIn [Strat...
Taming the ever-evolving Compliance Beast : Lessons learnt at LinkedIn [Strat...
 
Location Intelligence: The Secret Sauce for OOH Advertising
Location Intelligence: The Secret Sauce for OOH AdvertisingLocation Intelligence: The Secret Sauce for OOH Advertising
Location Intelligence: The Secret Sauce for OOH Advertising
 
Is Consent Mode Working.pdf
Is Consent Mode Working.pdfIs Consent Mode Working.pdf
Is Consent Mode Working.pdf
 
Web-Scale Graph Analytics with Apache® Spark™
Web-Scale Graph Analytics with Apache® Spark™Web-Scale Graph Analytics with Apache® Spark™
Web-Scale Graph Analytics with Apache® Spark™
 
10 Must-HAve GA4 Reports for SEO - Brighton SEO Apr 2023
10 Must-HAve GA4 Reports for SEO - Brighton SEO Apr 202310 Must-HAve GA4 Reports for SEO - Brighton SEO Apr 2023
10 Must-HAve GA4 Reports for SEO - Brighton SEO Apr 2023
 
Creating a data driven culture
Creating a data driven cultureCreating a data driven culture
Creating a data driven culture
 
The last SERP #DSM20
The last SERP #DSM20The last SERP #DSM20
The last SERP #DSM20
 
GDO - Google Discover Optimization - (Congreso Web 2019)
GDO - Google Discover Optimization - (Congreso Web 2019)GDO - Google Discover Optimization - (Congreso Web 2019)
GDO - Google Discover Optimization - (Congreso Web 2019)
 
Introducing Databricks Delta
Introducing Databricks DeltaIntroducing Databricks Delta
Introducing Databricks Delta
 
Managing Data Science Projects
Managing Data Science ProjectsManaging Data Science Projects
Managing Data Science Projects
 
Scaling and Modernizing Data Platform with Databricks
Scaling and Modernizing Data Platform with DatabricksScaling and Modernizing Data Platform with Databricks
Scaling and Modernizing Data Platform with Databricks
 
SEOWars: Rstudio aplicado a SEO #sob22
SEOWars: Rstudio aplicado a SEO #sob22SEOWars: Rstudio aplicado a SEO #sob22
SEOWars: Rstudio aplicado a SEO #sob22
 
The Importance of Metadata
The Importance of MetadataThe Importance of Metadata
The Importance of Metadata
 
Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)
Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)
Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)
 
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptx
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptxKnowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptx
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptx
 
Medijska terminologija
Medijska terminologijaMedijska terminologija
Medijska terminologija
 

Semelhante a Data studio dynamic filtering

Using a Semantic and Graph-based Data Catalog in a Modern Data Fabric
Using a Semantic and Graph-based Data Catalog in a Modern Data FabricUsing a Semantic and Graph-based Data Catalog in a Modern Data Fabric
Using a Semantic and Graph-based Data Catalog in a Modern Data FabricCambridge Semantics
 
Watson data platform_sofia_20171017
Watson data platform_sofia_20171017Watson data platform_sofia_20171017
Watson data platform_sofia_20171017Mladen Jovanovski
 
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Denodo
 
Digital Asset Management Forum Chicago 2011
Digital Asset Management Forum Chicago 2011Digital Asset Management Forum Chicago 2011
Digital Asset Management Forum Chicago 2011Extensis
 
6 great competitive intelligence data sources
6 great competitive intelligence data sources6 great competitive intelligence data sources
6 great competitive intelligence data sourcesMartin Brunet
 
Informatica complex transformation i
Informatica complex transformation iInformatica complex transformation i
Informatica complex transformation iAmit Sharma
 
Unveiling The Powerhouse LinkedIn Data Scraper By AhmadsoftwareCom.pdf
Unveiling The Powerhouse LinkedIn Data Scraper By AhmadsoftwareCom.pdfUnveiling The Powerhouse LinkedIn Data Scraper By AhmadsoftwareCom.pdf
Unveiling The Powerhouse LinkedIn Data Scraper By AhmadsoftwareCom.pdfAqsaBatool21
 
The Commons: Leveraging the Power of the Cloud for Big Data
The Commons: Leveraging the Power of the Cloud for Big DataThe Commons: Leveraging the Power of the Cloud for Big Data
The Commons: Leveraging the Power of the Cloud for Big DataPhilip Bourne
 
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)Denodo
 
Looker Studio Data Contracts - Data.Monks.pptx
Looker Studio Data Contracts - Data.Monks.pptxLooker Studio Data Contracts - Data.Monks.pptx
Looker Studio Data Contracts - Data.Monks.pptxDoug Hall
 
Eu gdpr technical workflow and productionalization neccessary w privacy ass...
Eu gdpr technical workflow and productionalization   neccessary w privacy ass...Eu gdpr technical workflow and productionalization   neccessary w privacy ass...
Eu gdpr technical workflow and productionalization neccessary w privacy ass...Steven Meister
 
Data preparation and processing chapter 2
Data preparation and processing chapter  2Data preparation and processing chapter  2
Data preparation and processing chapter 2Mahmoud Alfarra
 
DATA CAPTURING TRAINING_FINAL.pptx
DATA CAPTURING TRAINING_FINAL.pptxDATA CAPTURING TRAINING_FINAL.pptx
DATA CAPTURING TRAINING_FINAL.pptxscokoye
 
Personium - Open Source PDS envisioning the Web of MyData
Personium - Open Source PDS envisioning the Web of MyDataPersonium - Open Source PDS envisioning the Web of MyData
Personium - Open Source PDS envisioning the Web of MyData暁生 下野
 
FAIR Metrics - Presentation to NIH KC1
FAIR Metrics - Presentation to NIH KC1FAIR Metrics - Presentation to NIH KC1
FAIR Metrics - Presentation to NIH KC1Mark Wilkinson
 
Enterprise Data Marketplace: A Centralized Portal for All Your Data Assets
Enterprise Data Marketplace: A Centralized Portal for All Your Data AssetsEnterprise Data Marketplace: A Centralized Portal for All Your Data Assets
Enterprise Data Marketplace: A Centralized Portal for All Your Data AssetsDenodo
 

Semelhante a Data studio dynamic filtering (20)

Using a Semantic and Graph-based Data Catalog in a Modern Data Fabric
Using a Semantic and Graph-based Data Catalog in a Modern Data FabricUsing a Semantic and Graph-based Data Catalog in a Modern Data Fabric
Using a Semantic and Graph-based Data Catalog in a Modern Data Fabric
 
Watson data platform_sofia_20171017
Watson data platform_sofia_20171017Watson data platform_sofia_20171017
Watson data platform_sofia_20171017
 
Microsoft big data_solution_brief
Microsoft big data_solution_briefMicrosoft big data_solution_brief
Microsoft big data_solution_brief
 
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
 
Dashboard Process
Dashboard ProcessDashboard Process
Dashboard Process
 
Digital Asset Management Forum Chicago 2011
Digital Asset Management Forum Chicago 2011Digital Asset Management Forum Chicago 2011
Digital Asset Management Forum Chicago 2011
 
6 great competitive intelligence data sources
6 great competitive intelligence data sources6 great competitive intelligence data sources
6 great competitive intelligence data sources
 
Evaluating FAIRness
Evaluating FAIRnessEvaluating FAIRness
Evaluating FAIRness
 
Informatica complex transformation i
Informatica complex transformation iInformatica complex transformation i
Informatica complex transformation i
 
Unveiling The Powerhouse LinkedIn Data Scraper By AhmadsoftwareCom.pdf
Unveiling The Powerhouse LinkedIn Data Scraper By AhmadsoftwareCom.pdfUnveiling The Powerhouse LinkedIn Data Scraper By AhmadsoftwareCom.pdf
Unveiling The Powerhouse LinkedIn Data Scraper By AhmadsoftwareCom.pdf
 
The Commons: Leveraging the Power of the Cloud for Big Data
The Commons: Leveraging the Power of the Cloud for Big DataThe Commons: Leveraging the Power of the Cloud for Big Data
The Commons: Leveraging the Power of the Cloud for Big Data
 
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)
 
Looker Studio Data Contracts - Data.Monks.pptx
Looker Studio Data Contracts - Data.Monks.pptxLooker Studio Data Contracts - Data.Monks.pptx
Looker Studio Data Contracts - Data.Monks.pptx
 
Eu gdpr technical workflow and productionalization neccessary w privacy ass...
Eu gdpr technical workflow and productionalization   neccessary w privacy ass...Eu gdpr technical workflow and productionalization   neccessary w privacy ass...
Eu gdpr technical workflow and productionalization neccessary w privacy ass...
 
Data preparation and processing chapter 2
Data preparation and processing chapter  2Data preparation and processing chapter  2
Data preparation and processing chapter 2
 
DATA CAPTURING TRAINING_FINAL.pptx
DATA CAPTURING TRAINING_FINAL.pptxDATA CAPTURING TRAINING_FINAL.pptx
DATA CAPTURING TRAINING_FINAL.pptx
 
Personium - Open Source PDS envisioning the Web of MyData
Personium - Open Source PDS envisioning the Web of MyDataPersonium - Open Source PDS envisioning the Web of MyData
Personium - Open Source PDS envisioning the Web of MyData
 
FAIR Metrics - Presentation to NIH KC1
FAIR Metrics - Presentation to NIH KC1FAIR Metrics - Presentation to NIH KC1
FAIR Metrics - Presentation to NIH KC1
 
Enterprise Data Marketplace: A Centralized Portal for All Your Data Assets
Enterprise Data Marketplace: A Centralized Portal for All Your Data AssetsEnterprise Data Marketplace: A Centralized Portal for All Your Data Assets
Enterprise Data Marketplace: A Centralized Portal for All Your Data Assets
 
BOLO2010 Portugal
BOLO2010 PortugalBOLO2010 Portugal
BOLO2010 Portugal
 

Último

Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptxAnupama Kate
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSAishani27
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxolyaivanovalion
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystSamantha Rae Coolbeth
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023ymrp368
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxStephen266013
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130Suhani Kapoor
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxfirstjob4
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Callshivangimorya083
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...Suhani Kapoor
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxolyaivanovalion
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxolyaivanovalion
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxolyaivanovalion
 

Último (20)

Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICS
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data Analyst
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docx
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptx
 
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptx
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptx
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFx
 

Data studio dynamic filtering

  • 1. Media.Monks Proprietary & Confidential 1 Data Studio - dynamic filtering - 2 use cases
  • 2. Media.Monks Proprietary & Confidential 2 Make your dashboards interactive with these techniques Data Studio Dynamic Filters
  • 3. Media.Monks Proprietary & Confidential 3 Filtering a Table
  • 4. Media.Monks Proprietary & Confidential 4 Media.Monks Proprietary & Confidential 4 https://media.monks.com/careers The careers section on media.monks.com is extremely popular. We want to make the user experience optimal so we measure filter usage. Users search, choose one or more locations, and one or more teams to find roles they want to apply for.
  • 5. Media.Monks Proprietary & Confidential 5 The data exhaust from the open positions filters tells us where, and what candidates are looking for. The GA4 data exhaust provides rich insights - how can we democratise the data through a Data Studio dashboard? What are people filtering on?
  • 6. Media.Monks Proprietary & Confidential 6 Media.Monks Proprietary & Confidential 6
  • 7. Media.Monks Proprietary & Confidential 7 Media.Monks Proprietary & Confidential 7 GA4 Config The chosen filter values are sent as event parameters with the hit. Each filter type is recorded as a named event parameter that is registered as a Custom Dimension:
  • 8. Media.Monks Proprietary & Confidential 8 Media.Monks Proprietary & Confidential 8 Show multiple tables With 5 filters, we might choose to show 5 tables in one report. Busy, messy, harder to read and focus on one filter type. Filter Options Filter one table Choose the custom dimension to show in the table using a filter. How can the static table dimension become dynamic?
  • 9. Media.Monks Proprietary & Confidential 9 Media.Monks Proprietary & Confidential 9 Control > Fixed-size list Create a Fixed-size list and populate it with a parameter. Add a parameter using the “ADD A PARAMETER” link at the bottom of the list of available fields:
  • 10. Media.Monks Proprietary & Confidential 10 Media.Monks Proprietary & Confidential 10 Parameters are SO useful! Name it, give it an ID, choose the data type (Text, number (whole or decimal), Boolean). Specify permitted values to build a list of options. These will then populate the Fixed-size list to choose from. The label is visible to the user, the value must match the custom dimension name.
  • 11. Media.Monks Proprietary & Confidential 11 Media.Monks Proprietary & Confidential 11 Rename Custom Dimensions if necessary It doesn’t matter that the original event parameter or CD name choice wasn’t perfect, rename the fields in the data source so that they match the values specified in the Fixed-item list parameter:
  • 12. Media.Monks Proprietary & Confidential 12 Media.Monks Proprietary & Confidential 12 Create a formula to choose the dimension Based on the chosen Filter value, the formula outputs the required Custom Dimension to populate the table:
  • 13. Media.Monks Proprietary & Confidential 13 Media.Monks Proprietary & Confidential 13 Voila!
  • 14. Media.Monks Proprietary & Confidential 14 Filtering a graph
  • 15. Media.Monks Proprietary & Confidential 15 Choose which metrics you want to visualise. Add them all, see a pattern in the aggregate. Add selected metrics to compare. You don’t need side by side or layered charts with a filter to help clean the visualisation. N metrics 1 filtered graph
  • 16. Media.Monks Proprietary & Confidential 16 Media.Monks Proprietary & Confidential 16 Create a checkbox for each metric Create a boolean parameter for each metric and assign it to the appropriate checkbox
  • 17. Media.Monks Proprietary & Confidential 17 Media.Monks Proprietary & Confidential 17 Create a formula for each metric that references the state of the appropriate checkbox
  • 18. Media.Monks Proprietary & Confidential 18 Media.Monks Proprietary & Confidential 18 Create a formula for each metric that references the state of the appropriate checkbox
  • 19. Media.Monks Proprietary & Confidential 19 Media.Monks Proprietary & Confidential 19 Voila!
  • 20. Media.Monks Proprietary & Confidential 20 Questions? Ask your favourite monk doug.hall@media.monks.com