In this webinar, I will go through the benefits and limitations of Data Studio, tips and tricks for turning spreadsheets into cool reports, and share some hot dashboard templates
How to go viral on a budget using Digital PR.pptxAlexHickson3
The document discusses how to go viral on a budget using public relations (PR). It recommends tying a product or idea into a current trend, validating the trend, identifying the target audience, crafting a compelling pitch, and developing an effective outreach strategy. Specifically, it outlines how the author launched an unknown brand called "2020 Scent" that generated over £20,000 in revenue with a campaign costing under £10 by tying scented products to viral trends from that year.
How SEO changes, as we say bye bye to cookiesAccuraCast
Slides from AccuraCast MD, Farhad Divecha's presentation at Brighton SEO.
In his talk, Farhad discussed how the removal of third-party cookies will affect SEO and advised delegates on practical, actionable things they can do to best equip their business to overcome the potential challenges involved.
BrightonSEO - NLP for SEOs - How to optimise your content for BERT.pptxJosephineHaagen
How have robots learned to read? This talk goes over the process within natural language processing, how BERT works, and how these learnings can be applied to content optimisation.
Martin McGarry - SEO strategy c/o England manager Gareth SouthgateMartin McGarry
This document outlines an SEO strategy inspired by Gareth Southgate's plan to improve the England football team. It presents a three step target setting framework: 1) Be competitive in 6-12 months, 2) achieve tournament success in 1-2 years, and 3) be number one in 2-3 years. Key metrics such as visibility, site health, traffic, and time on page are identified and targets are set for each step. Accompanying tasks are mapped to the metrics and timeline to execute the plan, such as link campaigns, technical fixes, and content updates. The strategy aims to provide structure through measurable goals and accountability.
Kleecks - AI-Martech as a game changer-DEF.pdfKleecks
This document discusses how AI and automation can revolutionize the SEO value chain. It argues that AI can enable a symbiotic relationship between SEO strategy and technical implementation by powering automated competitive analysis, strategy suggestions, and one-click fixes. This represents a new approach that can improve time-to-market and optimize implementation timescales through a no-code model.
PubCon, Lazarina Stoy. - Machine Learning in Search: Google's ML APIs vs Open...LazarinaStoyanova
The document discusses Google's ML APIs versus OpenAI's APIs and their applications for SEO and digital marketing tasks. It provides examples of how natural language processing APIs from Google and OpenAI can be used for tasks like text analysis, sentiment analysis, document classification, translation and content transformation. While both Google and OpenAI APIs are useful, the document recommends choosing the right API for each specific task based on its capabilities and limitations in order to get the best results.
This document discusses the value and uses of hyperlinks. It explains that hyperlinks can help understand a person's influence, interests, and peers. Hyperlinks also allow you to find influencers around a topic or identify the authors of a news site. The key takeaway is that having access to true link data and understanding how to analyze link information can provide new insights.
SEO Automation Without Using Hard Code by Tevfik Mert Azizoglu - BrightonSEO ...Tevfik Mert Azizoglu
#xpath
#googlesheets
#zapier
– How can non-coder SEOs make their own mini SEO tools?
– Is coding knowledge essential for SEO automation?
This presentation is about how you can create custom SEO automation that includes complex functionalities like crawling, data extraction, and building reports automatically by using those outputs.
#importxml
#n8n
#openai
#seoautomation
Links: https://twitter.com/mertazizoglu/status/1512471375352639491
Swipe left: Why your content is getting ghostedEleni Cashell
Creating engaging content is a tricky thing, and even if your work is perfectly targeted to your audience, with all the SEO research to back it up, it doesn’t guarantee engagement.
In this talk, Eleni will showcase some of the mistakes she’s made and seen first-hand, explain why this isn’t getting engagement, and reveal how to fix it. From making content more accessible and inclusive, to key research methods that are often ignored, this talk will show you how to turn content that’s being ghosted and ignored, into something that creates meaningful connections.
The Value of Featured Snippets (BrightonSEO 2023).pdfNiki Mosier
The document discusses featured snippets in Google search results. It begins by explaining what featured snippets are and their value for searchers. It then provides tips for developing a featured snippet strategy, including focusing keyword research on question keywords and optimizing content with headers, images, and schema markup. The document concludes by emphasizing the importance of keyword research and checking all SEO best practices to start winning featured snippets.
Data Pitfalls - Brighton SEO - Katie Swann.pptxKatieSwann5
We always hope to see our digital PR campaigns take off, but sometimes they can take off in the worst way.
From inaccurate data to misleading headlines, there are plenty of ways that we can fall into data-related pitfalls.
I explore some of the most common data dangers and how to avoid them so your campaigns don’t end up on the wrong side of digital PR Twitter, keeping you and your clients happy!
Will Critchlow's presentation at BrightonSEO October 2022.
At SearchPilot, we run huge numbers of tests. It's natural to look first to the winning tests, but there is a lot we can learn from the tests that fail - both the inconclusive ones and the negative outcomes.
Learn how we run SEO tests, how we analyse winners and losers, and take advantage of the lessons we have learned from dozens of losing tests. Take away actionable insights you can use in your own testing or SEO program.
How to leverage indexation tracking to monitor issues and improve performanceSimon Lesser
Understanding and diagnosing indexation issues is vital to SEO success, but until very recently, getting good data was nearly impossible. Google’s newly-introduced URL Inspection API opens a new world of possibilities for tracking indexation. In this talk, Simon explores how to leverage this data to monitor status, spot changes, and catch issues in realtime — no coding required!
Agile SEO: Prioritise SEO Activities with Cadence and Risk RadiusParth Suba
An SEO professional can learn on how to improve their relationship with developer and get technical SEO errors solved without a hassle
This talk is about prioritising SEO activities based on regular cadence and at the same time calculating the risk radius of the high level decisions taken.
About me: I have 7 years of experience in SEO, I work as an independent SEO consultant, co-host of #SEOTalk Twitter chat (which is India's oldest digital marketing Twitter chat up and running since 2012).
If you have any questions, please feel free to reach out me on Twitter: @parthsuba77 and send me an email on parthsuba77[at]gmail[dot]com
How to Incorporate ML in your SERP Analysis, Lazarina Stoy -BrightonSEO Oct, ...LazarinaStoyanova
Google conducts 800,000 experiments and improvements to search annually to optimize search results for users. In 2021 alone, Google made 5,000 improvements to search. As of August 2022, 92% of all search queries are handled by Google. The document then provides an in-depth overview of how to conduct a comprehensive search engine optimization (SEO) analysis, including competitor analysis, entity analysis, sentiment analysis, search intent analysis, language use analysis, and rank analysis. It recommends leveraging tools like Google APIs, Data for SEO, and GPT-3 to automate the analysis and provide classifications. The analysis is intended to guide content and keyword strategy execution rather than replace it.
BrightonSEO October 2022 - Log File Analysis - Steven van Vessum.pdfSteven van Vessum
This document discusses how log file insights can help companies improve their crawling, indexing and organic marketing performance. It outlines some of the common issues companies face like not understanding search engine behavior and not reflecting on their past work. With log file insights accessible in real-time and automatically distilled, companies can answer critical questions to speed up their crawl times, see how search engines are handling their updated content and troubleshoot issues. The presenter promotes their solution, ContentKing, which provides real-time log file analysis from CDN logs to help companies learn what search engines know and keep sharpening their SEO strategies.
The document discusses the challenges of scaling great content. It states that while scaling basic content is easy, scaling high-quality content is difficult. It recommends systematizing, standardizing, and streamlining content production processes to help overcome these challenges. This includes outlining processes, reviewing drafts, editing, and publishing content according to standardized steps.
How to get more traffic with less content - BrightonSEOAnna Gregory-Hall
I want you to go away after this with a really clear view on why less definitely is more, what you can do to decide what actually is too much content to have on your site, and how to go about reducing the number of pages you’ve got.
Ultimately, you’re here to find out how to reduce the amount of work you have to do in the long-run to get the same amount or more traffic.
Data-driven SEO & content strategy to reduce your customer acquisition costsadlift
With digital marketing spends soaring, there’s now an even bigger need for reducing costs per customer acquisition. On average, a brand can reduce its acquisition costs by 55% if they drive significant traffic and transactions via organic search and great content marketing. This session will provide you with tactics to implement a robust, data driven content and SEO strategy that drives ROI.
District Data Labs Workshop
Current Workshop: August 23, 2014
Previous Workshops:
- April 5, 2014
Data products are usually software applications that derive their value from data by leveraging the data science pipeline and generate data through their operation. They aren’t apps with data, nor are they one time analyses that produce insights - they are operational and interactive. The rise of these types of applications has directly contributed to the rise of the data scientist and the idea that data scientists are professionals “who are better at statistics than any software engineer and better at software engineering than any statistician.”
These applications have been largely built with Python. Python is flexible enough to develop extremely quickly on many different types of servers and has a rich tradition in web applications. Python contributes to every stage of the data science pipeline including real time ingestion and the production of APIs, and it is powerful enough to perform machine learning computations. In this class we’ll produce a data product with Python, leveraging every stage of the data science pipeline to produce a book recommender.
Google Data Studio is a tool for data visualization and analysis. It allows users to connect to various data sources, including Google Sheets, and build interactive reports and dashboards. The document provides an introduction to Google Data Studio and its key building blocks, such as data sources, dimensions, and metrics. It explains how to access and navigate Data Studio, and discusses why users should first manipulate data in Google Sheets before building reports in Data Studio for better performance.
Google Analytics with an Intro to Google Tag Manager for Austin WordPress MeetupRich Plakas
Google Analytics with an Intro to Google Tag Manager for Austin WordPress Meetup.
This was an intermediate session where we took a deeper look into Google Analytics. We also introduced Google Tag Manager as a better way to run tracking code on a website.
Integrating Structured Data (to an SEO Plan) for the Win _ WTSWorkshop '23.pptxBegum Kaya
This document provides an overview of structured data and how to plan and implement it effectively. It discusses the giant global graph and semantic web concepts. Schema.org is introduced as a way to add structured data tags to pages. The benefits of structured data like improved rankings and user experience are outlined. The document then covers how to plan structured data by auditing pages, identifying appropriate schema types and properties. Implementation tips around templating, testing and monitoring structured data are provided. Common pitfalls to avoid are also highlighted.
This document discusses how an organization transitioned from an idea of data-driven decision making to a practice of it within a few months by adopting the self-service business intelligence tool Metabase. It provides a case study comparing Metabase to Tableau in terms of user access, usability, data discovery capabilities, and facilitating data democratization. Key benefits of Metabase included its ease of use, low cost, and ability for any employee to create and share dashboards and metrics without needing specialized training or tool expertise. While not perfect, Metabase was effective for the organization's needs and helped increase weekly active usage among approximately 200 employees.
How to Boost Your SEO using Structured DataMartin Tang
This presentation is the slides when I presented for Developer Circles Penang from Facebook meetup in ACAT, Georgetown, Penang.
More info about this group can refer to: https://www.facebook.com/groups/DevCPenang/
Agenda of this deck:
1. What is Structured Data?
2. How structured data will improve my SEO?
3. How to implement to my website?
4. Tips & Suggestion
5. Q & A
SEO Server Log File Analysis - What You Should Be Looking For - Tea-Time SEO ...Authoritas
Get practical technical SEO advice from SEO experts: Hosted by Jason Barnard, "The Brand SERPs guy" with three great speakers: Tom Pool, Technical SEO Director at BlueArray; Faisal Anderson, Technical SEO EMEA @ LiveArea and Julien Deneuville, Owner / Freelance consultant @ Databulle.
In this short ~20 minute talk they present bite-sized technical SEO advice covering everything you need to know and more about server log file analysis and crawling for SEO. There talks are offered free to the SEO community working from home during the coronavirus pandemic.
Watch a recording of the stream to go with these slides here:
https://www.youtube.com/watch?v=Mw3YEYsVQOE
Visit https://www.authoritas.com for more SEO advice and SEO tools and data to help you drive more organic traffic to your ecommerce stores.
This document provides an agenda for a Google Analytics training session. The agenda includes topics such as getting started with Google Analytics, navigating the interface, audience, acquisition, behavior, and conversion reports. It also covers account administration, advanced tracking implementations, measuring content, importing and extracting data, and common applications of Google Analytics. The training emphasizes using Google Analytics for analysis rather than just reporting, and how to tell data-driven stories to different audiences. It provides best practices for setting up views and segments, understanding users, tracking campaigns and visitor engagement, and setting up conversion goals.
12 Things to do Before Your Company Dies : Conversion Conference London - Oct...Craig Sullivan
A roundup of all the things to help you maintain a competitive edge in experience design and conversion optimisation. With examples of companies putting this stuff together, the tools they are using and their project management approaches, this presentation delves deeper into the cultural aspects of CRO.
Build next generation apps with eyes and ears using Google ChromeAhmedabadJavaMeetup
This document outlines an agenda for a Big Data workshop, including an introduction to Big Data concepts and tools. The workshop will discuss why Big Data is important, what it is and isn't, and fears around working with large datasets. It will provide examples of Big Data in organizations and products. The workshop aims to be practical, focusing on real-world use cases and selecting the right technologies. References are included for further reading on topics like Hadoop, PostgreSQL, Cassandra, Storm and analyzing log data. Attendees will have an opportunity to discuss Big Data projects and challenges.
The document discusses setting up and using Google Analytics to track key metrics about a website. It provides step-by-step instructions for setting up a Google Analytics account and inserting the tracking code on website pages. It emphasizes that web analytics can provide objective data about what users actually do on a site, which can help inform improvements and demonstrate site value to senior management. It also outlines some best practices for using Google Analytics and limitations to be aware of.
The document discusses various topics related to artificial intelligence (AI) and web technologies. It begins with some icebreaker questions about careers and how AI may impact jobs in the future. It then provides explanations of MidJourney, an AI image generation model, and how it works. ChatGPT, an AI chatbot, is introduced and examples are given of how it can be used to generate blog content or website designs. The document concludes with brief discussions of GPT-4, an imagined future version of GPT-3, and SENSEI, a new AI photo editing tool.
This talk was held at the 11th meeting on April 7 2014 by Karolina Alexiou.
Analysis of big data is useless (and a lot harder to sell) when you can't measure whether the resulting insights are correct. In order to develop sophisticated data analysis methodologies tailored to your particular use-case, you need to be able to figure out what works and what doesn't. It is crucial to gather data independently to your analysis (ground truth) and compare it to your results using the correct metrics and account for biases. The sheer volume of data means that you also need to have a strategy for slicing and dicing the data to isolate the really valuable parts, and also, a keen eye for visualization so that you can quickly compare methodologies and support the validity of your insights to third parties.
The speaker discusses the importance of evaluating big data analysis to improve projects. They recommend getting a second opinion on methodology or using another data source for verification. A case study on estimating traffic congestion is presented where ground truth sensor data was collected and compared to estimates using metrics to provide feedback. Lessons include ground truth not being easy to obtain, using the right tools like Python and pandas for evaluation, and having an iterative workflow for timely feedback.
This document contains the resume of Nilesh Vaghela, an SEO executive. It outlines his skills and experience in on-page optimization, off-page link building, keyword research, competitor analysis, and reporting. It provides details of his 3+ years of experience in SEO for companies like Webmyne Systems and Adit Advertising. It also lists the various tools he is proficient with like Google Analytics, SEMrush, Ahrefs, and more. The resume aims to showcase Nilesh's abilities and strategies for improving a website's organic search performance and rankings.
Web analytics tools like access logs, JavaScript-based solutions, and web bugs can provide information about web activity, but all have limitations. Access logs record actual interactions but are impacted by bots and caching. JavaScript-based solutions rely on browser capabilities and settings and may not record all interactions. Both are affected by differing user behaviors. It's important to understand the limitations of the analytic method used and maintain skepticism of results, as the metrics may not precisely measure activity due to various issues like one-directional links and bot traffic.
Rahul Garg- SEO Complete Project Report Free DownloadRahul Garg
Search engine optimization (SEO) is the art and science of publishing and marketing information that ranks well for valuable keywords in search engines like Google, Yahoo! Search, and Microsoft Live Search.
Join 20-year SEO veteran Ryan Huser as he explores the transformative intersection of Generative AI and SEO in his talk, ""Generative AI: The new Wild West of SEO"". The presentation will discuss how tech giants Bing and Google have enhanced the search experience using Generative AI. It will also unpack the wealth of options available to marketers, and how they can use these innovations for content creation and search engine optimization. Ryan's talk promises to offer invaluable insights into the emerging landscape of AI-driven SEO, emphasizing its profound implications for digital marketing strategies.
1) Data blending is the process of joining and transforming data from multiple different data sets and sources to provide a more complete picture for making critical business decisions.
2) It is important because companies have dozens to hundreds of different data sources that are rarely analyzed together, leaving decisions to be made without a full picture.
3) Skills needed for data blending include using tools like Google Sheets to perform joins, groups, and transforms on data from databases and other sources to produce merged data sets for analysis.
This document provides a 10 step methodology for conducting an SEO audit of a website. The 10 steps include: 1) baseline assessment, 2) keyword analysis, 3) competitor analysis, 4) technical analysis, 5) page-level analysis, 6) content analysis, 7) UX analysis, 8) backlink analysis, 9) tracking and reporting, and 10) prioritization. For each step, key activities and objectives are outlined to evaluate different aspects of the website's SEO performance and identify areas for improvement.
Similar to Data Studio for SEOs: Reporting Automation Tips - Weekly SEO with Lazarina Stoy (20)
How We Added Replication to QuestDB - JonTheBeachjavier ramirez
Building a database that can beat industry benchmarks is hard work, and we had to use every trick in the book to keep as close to the hardware as possible. In doing so, we initially decided QuestDB would scale only vertically, on a single instance.
A few years later, data replication —for horizontally scaling reads and for high availability— became one of the most demanded features, especially for enterprise and cloud environments. So, we rolled up our sleeves and made it happen.
Today, QuestDB supports an unbounded number of geographically distributed read-replicas without slowing down reads on the primary node, which can ingest data at over 4 million rows per second.
In this talk, I will tell you about the technical decisions we made, and their trade offs. You'll learn how we had to revamp the whole ingestion layer, and how we actually made the primary faster than before when we added multi-threaded Write Ahead Logs to deal with data replication. I'll also discuss how we are leveraging object storage as a central part of the process. And of course, I'll show you a live demo of high-performance multi-region replication in action.
Cómo hemos implementado semántica de "Exactly Once" en nuestra base de datos ...javier ramirez
Los sistemas distribuidos son difíciles. Los sistemas distribuidos de alto rendimiento, más. Latencias de red, mensajes sin confirmación de recibo, reinicios de servidores, fallos de hardware, bugs en el software, releases problemáticas, timeouts... hay un montón de motivos por los que es muy difícil saber si un mensaje que has enviado se ha recibido y procesado correctamente en destino. Así que para asegurar mandas el mensaje otra vez.. y otra... y cruzas los dedos para que el sistema del otro lado tenga tolerancia a los duplicados.
QuestDB es una base de datos open source diseñada para alto rendimiento. Nos queríamos asegurar de poder ofrecer garantías de "exactly once", deduplicando mensajes en tiempo de ingestión. En esta charla, te cuento cómo diseñamos e implementamos la palabra clave DEDUP en QuestDB, permitiendo deduplicar y además permitiendo Upserts en datos en tiempo real, añadiendo solo un 8% de tiempo de proceso, incluso en flujos con millones de inserciones por segundo.
Además, explicaré nuestra arquitectura de log de escrituras (WAL) paralelo y multithread. Por supuesto, todo esto te lo cuento con demos, para que veas cómo funciona en la práctica.
Amazon DocumentDB(MongoDB와 호환됨)는 빠르고 안정적이며 완전 관리형 데이터베이스 서비스입니다. Amazon DocumentDB를 사용하면 클라우드에서 MongoDB 호환 데이터베이스를 쉽게 설치, 운영 및 규모를 조정할 수 있습니다. Amazon DocumentDB를 사용하면 MongoDB에서 사용하는 것과 동일한 애플리케이션 코드를 실행하고 동일한 드라이버와 도구를 사용하는 것을 실습합니다.
Lajpat Nagar @ℂall @Girls ꧁❤ 9873777170 ❤꧂VIP Ruhi Singla Top Model Safe
Data Studio for SEOs: Reporting Automation Tips - Weekly SEO with Lazarina Stoy
2. Who is Lazarina Stoy?
● I’m a Technical SEO & Innovation Manager
● I’m also a Freelancer in Growth & Analytics
● I dabble in Data Science more frequently now than
ever
● I work with clients from different niches, with
different site size, and different problems
● Working with data helps recognizing patterns (and I
love it!)
@lazarinastoy | lazarinastoy.com
3. Fun fact about Lazarina
● Loves animals and plants (living with 🐶🐱🐱)
● Practiced karate for more than 10 years
● Loves swimming and yoga
● Worked in Hospitality in 3 countries (over 7 years!)
● Used to collect mugs (had to abandon my
collection)
4. ● Data Studio Benefits & Limitations
● Reporting Automation Tips & Tricks
● How to Turn Spreadsheets into Beautiful
Reports
● Templates You Should Add To Your Arsenal
5. 5
Are you guilty of any of these?
“I’m not really that good with
data.” “Not really an analytics
person, myself.”
“I wish I have more time for fun
automation and advanced tech
projects… but I’m too busy.”
“I manually report on data in
spreadsheets, or slides each
week/month”
7. Benefits
Why even bother?
● Visualise data any way you want, easily
● Pull data from multiple sources.
● Blending data sources for enhanced
understanding.
● Share & export Data Studio reports easily.
● Easy-to-read & pretty to look at
● Dynamic reporting
● Fresh data, at the tip of your fingers
● Build interactive experiences.
● Use free Data Studio templates
● Very easy to learn with free Google Data
Studio tutorials.
https://www.webfx.com/blog/marketing/what-is-google-data-studio/
8. ● No more than 5 data sources for blending, all of which
should share a joining key.
An alternative would be to blend data offline and use
automation tools to ease the process.
● Incorporating many data sources will likely cause
reports to break.
● Beware of sampling
● Errors when copying filters
● The useability of connectors highly depends on their
internal database schema.
An alternative would be to use APIs, instead of connectors,
whenever possible (learn how here 🔗 ).
● Data Blending uses left outer join.
As a workaround, perform complex data augmentations in
GSheets or Big Query, depending on the size and complexity
of the data and your infrastructure capacity.
● Data Blending uses left outer join.
As a workaround, perform complex data augmentations in
GSheets or Big Query, depending on the size and complexity
of the data and your infrastructure capacity.
Limitations
Things you need to know about
https://lazarinastoy.com/data-studio-limitations/
9. 📢 Update
Yesterday, Data Studio
Announced 4 new blending
Options 🔥
(also, follow this DS wizard:
Mehdi Oudjida
@wissi_analytics)
https://medium.com/@lazarinastoy/data-studio-introduces-new-dat
a-blending-options-a-game-changer-for-data-visualisation-627c725
d98c3
21. Turning Spreadsheets into dashboards🛠
https://lazarinastoy.com/
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