# Row64

> Row64 is a real-time operational intelligence platform built for live system visibility and zero decision latency in time-sensitive operations.

## Training

- [Game Level Map](https://row64.com/training/game-level-map/index.md): Dashboard training uses play-testing data filtered over time. An example of interactive diagram building involves multiple layers. According to a Google Drive file, [example content link], this approach enables detailed analysis and visualization."
- [Cloud and Server Intro](https://row64.com/training/cloud-and-server-intro/index.md): Row64 is a cloud-based compute environment that enables users to run analytics and data science workflows. The video provides an overview of its setup, addressing questions from both Windows and Linux experts. It covers the installation and configuration process, including setup on cloud infrastructure and server deployment.
- [Profit](https://row64.com/training/profit/index.md): A high-level spreadsheet, dubbed "Dashboard", is being utilized to model company profit by linking two input data frames: Sales and Expenses, totaling over 1M records. Cross-filtering functionality integrates these datasets. With this training, users can effectively analyze and forecast company earnings.
- [Credit Card Fraud Detection](https://row64.com/training/credit-card-fraud-detection/index.md): **Row64 Credit Card Fraud Detection Use Case Setup Overview** A recent training video has been released, providing a comprehensive guide to establishing a credit card fraud detection use case within the Row64 platform. The video showcases the process of transforming data using Row64's data functions, allowing users to effectively analyze and identify potential fraudulent activity. The video demonstrates how to leverage Row64's drag-and-drop interface to build an interactive dashboard, enabling users to visualize and monitor key metrics in real-time. Additionally, the video highlights the importance of enabling the streaming service on the Row64 server, facilitating real-time analysis and monitoring of credit card transactions. By following the steps outlined in the video, users can effectively set up a credit card fraud detection use case in Row64, enhancing their ability to detect and prevent fraudulent activity. This is particularly crucial in today's digital landscape, where credit card fraud remains a significant concern for businesses and individuals alike.
- [Connect Database and Dashboard](https://row64.com/training/connect-to-a-database/index.md): Here is a summary of the article in 600 characters or less: Row64 dashboards can be effortlessly connected to a database source using Python and row64tools. This guide explores the performance benefits of using .ramdb files, ByteStream, and contiguous data storage, enhancing data processing efficiency.
- [Widgets](https://row64.com/training/widgets/index.md): An advanced dashboard with 2 data frames of input and many widgets. Create many kinds of widgets, from sliders and combo boxes to date ranges. Example content is here
- [Dashboard Basics](https://row64.com/training/dashboard-training/index.md): A comprehensive guide to crafting Row64 dashboards begins with simplifying cross-filtering functionality. Once established, advanced techniques are explored, including Recipes, Formulas, and Chart customization. By mastering these methods, users can unlock optimal dashboard performance and visualization capabilities.
- [Getting Started](https://row64.com/training/getting-started-training/index.md): Introduction to Row64 Dashboards: This tutorial covers basic dashboard building and data visualization techniques, including chart creation and cross-filtering. Example content is available for download.
- [Cell Towers](https://row64.com/training/cell-towers/index.md): Industry experts unveil a groundbreaking dashboard training solution that rapidly processes large datasets, covering 2M cell towers. The tool features cross-filtering capabilities, allowing users to explore associated data on a geographic map. With this innovative technology, companies can streamline data analysis, improving speed and scalability."
- [Sentiment](https://row64.com/training/sentiment/index.md): A dashboard training tool utilizes word clouds as a sentiment interface and analysis tool, allowing users to filter sentiments with interactive sliders. This advanced cross-filtering tool enables exploratory data analysis, offering a flexible and visual approach to understanding sentiment patterns.
- [Business Process Diagram](https://row64.com/training/business-process-diagram/index.md): A new training module provides interactive dashboard experiences using BPMN-style business process diagrams. Users can explore example content at the provided link, where diagrams respond to cross-filtering, allowing for dynamic exploration of complex processes.
- [Interactive Bubble Charts](https://row64.com/training/training-bubble-charts/index.md): In this tutorial, viewers learn how to utilize cross-filters in dashboard training to connect multiple filters to a bubble chart. The demonstration showcases an excellent application of interactive sliders. The provided link grants access to example content for in-depth exploration.
- [WSL2](https://row64.com/training/wsl2/index.md): WSL2 is a faster and more Windows-like alternative to VirtualBox, ideal for running Row64 Server locally on Windows machines. It offers a 10X speed boost and simplicity. This video showcases WSL2's features, combining it with Row64 for enhanced performance and usability.
- [Dense Sales Data](https://row64.com/training/dense-sales-data/index.md): A dashboard training exercise demonstrates speed and scalability with 1 million records, featuring cross-filtering, text search, and advanced record inspection. The example content is available at https://drive.google.com/file/d/1BXGVmH9qe0Lh3Il8aksChFmH3BEYHR7P/view?usp=drive_link.
- [Date Grouping](https://row64.com/training/date-grouping/index.md): Learn to enhance dashboard training by leveraging dates, cross-filtering, and formula columns. This tutorial utilizes a sample dataset, demonstrating how to create interactive and data-driven dashboards. Topics covered include date-based filtering, advanced calculations, and visualizing complex data relationships. Refer to the accompanying example content for hands-on practice."
- [Census](https://row64.com/training/census/index.md): A dashboard training example showcases interactive slider filtering of Census Data, utilizing layers to build a polished interactive map. Demonstrate effective use of layers to create interactive visualizations, improving analysis and decision-making."
- [Weather](https://row64.com/training/weather/index.md): A new dashboard training features an animated choropleth chart illustrating changing weather patterns over time. The play bar is accessible in the browser by moving the mouse near the map's bottom.
- [Seasonal (Advanced)](https://row64.com/training/seasonal-advanced/index.md): This advanced dashboard training features advanced data filtering, formula columns, and conditional formatting. It integrates raw data, using formulas for seasonal comparisons, which can be blended using a slider. The example content is publicly available at the provided Google Drive link.
- [Amazon](https://row64.com/training/amazon/index.md): A training overview is provided for using dashboards to filter large volumes of paragraph text. The process involves double-clicking on the text column to pop up a paragraph text window. The example content is available for reference at the provided Google Drive link.
- [R Squared](https://row64.com/training/rsquared/index.md): A basic dashboard training with two charts, some pane formulas & dataframe records. Discussion on getting started with cross-filtering.
- [Expenses](https://row64.com/training/expenses/index.md): A new dashboard training aims to simplify high-level analysis of expense records using spreadsheets. The tutorial provides hands-on examples, demonstrating how to extract insights and insights from financial data using Microsoft Excel or Google Sheets."

## Blog

> A collection of posts that share insights, ideas, and updates to the industry.

- [What Is A GPU Spreadsheet? A Complete Guide](https://row64.com/blog/what-is-a-gpu-spreadsheet-a-complete-guide/index.md): A GPU spreadsheet is a software that takes advantage of the graphics processing unit ( GPU) of a computer. The main benefit is improved speed and scale of calculations, but enabling the GPU isn't as simple as flipping a button. In order for any function to be allocated to a GPU it needs to actually be coded in its own language.
- [What Is Operational Intelligence and Is It Right for Your Business?](https://row64.com/blog/what-is-operational-intelligence-and-is-it-right-for-your-business/index.md)
- [Then Is Now - A6000 Reality Engine](https://row64.com/blog/then-is-now-a6000-reality-engine/index.md)
- [Fleet Management: How Operational Intelligence Avoids Vehicle Downtime](https://row64.com/blog/fleet-management-how-operational-intelligence-avoids-vehicle-downtime/index.md): Fleet management teams still struggle to see what’s happening in the moment, or act on it instantly. That's where Row64 can help.
- [What Is Visual Analytics and How Can It Help Your Business?](https://row64.com/blog/what-is-visual-analytics-and-how-can-it-help-your-business/index.md): Visual analytics is the means of exploring and analyzing data sets entirely within a visual interface. It's truly whatever helps you and your audience more quickly and clearly understand and convey the desired information, say experts.
- [LiDAR Data Is Everywhere. Closing the Detection Gap Is the Real Challenge.](https://row64.com/blog/lidar-data-is-everywhere-closing-the-detection-gap-is-the-real-challenge/index.md): LiDAR sensors are now more accessible, but is software able to process the dense mapping data fast enough to make it operationally useful? This post takes a look.
- [Unleash the Power of GPU Geo-Analysis For Business With Row64 ](https://row64.com/blog/gpu-analysis-for-business/index.md): Geo-analysis is transforming the way businesses make decisions by turning past numeric data into spatial insights. By leveraging visual information, organizations can uncover complex patterns and make decisions 5x faster. However, traditional geo-analysis software has been hindered by difficulty and slow performance. To address this, Row64 has developed GPU-accelerated data visualization, including fast Geoanalysis, to streamline the process.
- [Announcing our $4M Seed Funding Round ](https://row64.com/blog/announcing-our-dollar4m-seed-funding-round/index.md):  Row64, a pioneering enterprise software company, has raised a $4 million seed round led by Galaxy Interactive, with participation from Alumni Ventures and Differential Ventures. This significant milestone validates Row64's mission to empower businesses to make decisions with clarity and confidence in today's fast-paced, data-driven world. Founded to address the limitations of legacy business intelligence systems, Row64 has developed a real-time visual intelligence platform that enables enterprises to interact with and analyze massive datasets instantly. 
- [Row64 and Northern Lights Announce Strategic Partnership](https://row64.com/blog/northern-lights-and-row64-announce-strategic-partnership/index.md): New Partnership to Deliver Real-Time Operational Intelligence at Mission-Critical Speed.
- [Row64 and Carahsoft Partner to Deliver Real-Time 
Operational Intelligence to the Public Sector](https://row64.com/blog/row64-and-carahsoft-partner-to-deliver-real-time-operational-intelligence-to-the-public-sector/index.md): GPU-Accelerated Platform Delivers Unified Situational Awareness and 
Informed Decision-Making Across Critical Government Operations
- [Data Center CPU Trends](https://row64.com/blog/cpu-trends/index.md): As the artificial intelligence (AI) sector experiences rapid growth, the spotlight on data center hardware has largely been on Graphics Processing Units (GPUs). However, a closer examination reveals several significant trends with Central Processing Units (CPUs) that will fundamentally impact how software applications are created and deployed. A new video delves into these trends, shedding light on their potential implications for the development and rollout of software applications.
- [How Row64 Aids Fraud Prevention](https://row64.com/blog/blog-post-fraud-prevention/index.md):  This new video shows the use of Row64's real-time operational intelligence platform in fraud detection, helping teams spot threats the moment they appear.
- [Understand Customer Sentiment Using Product Review Data](https://row64.com/blog/customer-sentiment-from-product-review-data/index.md): Row64 Dashboards has released a new platform that enables easy sentiment analysis from varied text sources. The platform allows dynamic data interaction, sentiment analysis and filtering, and cross-filtering for deeper insights. The tool can analyze unstructured data from sources like product reviews, social media, and customer support interactions. With its advanced analytics capabilities, businesses can understand customer sentiment, improve products and services, and gain a competitive edge.
- [The Internet’s Best Data Visualizations 2022](https://row64.com/blog/the-internets-best-data-visualizations-2022/index.md): Data visualizations have been used to make the understanding of data easier, faster, and more intuitive. Ever since the world's first data visualizations credited to Flemish astronomer Michael Van Langren in 1644 data visualization has exploded with the amount of information on offer to the public, we thought it beneficial to highlight our favorite data visualisations to date. To make our list easy to digest we highlight each post' type of the data visualizer, as well as the source and link to original project.
- [Enter the Future of Data Visualization with Row64](https://row64.com/blog/enter-the-future-of-data-visualization-with-row64/index.md)
- [GPU Selection is Revolutionizing Dashboards](https://row64.com/blog/gpu-selection/index.md): Row64's real-time visual analytics enables companies to efficiently analyze large data sets, allowing users to drill down to record-level detail instantly. This eliminates the need for manual summarization or program integration, saving time and resources. The company demonstrates this capability with use cases in power grid management, demographic research, and organizational chart analysis, showcasing the vast potential of real-time data for businesses.
- [Leveraging the Synergy of SQL, Python, and A1 Notation for High-Speed Data Analysis](https://row64.com/blog/synergy-sql-python-a1/index.md): The following describes how Row64 dashboards combine Excel-style A1 notation with SQL databases to broaden the reach and power of dashboards for both technical and non-technical users. 
- [Row64 V2.0 - Redefining Data Speed, Visualization and Collaboration](https://row64.com/blog/row64-v20-redefining-data-speed-visualization-and-collaboration/index.md)
- [Row64 v3.5 Is Here!](https://row64.com/blog/v35-announcement/index.md): Row64 unveils version 3.5 of its real-time operational intelligence platform with enhanced Features and performance
- [Unveiling The Future of Geospatial Dashboards](https://row64.com/blog/geospatial-landing-page-v33/index.md): Geospatial analysis, a key component of data science, is expected to grow 17.7% by 2027. However, challenges persist: it's a complex skill to master, software struggles with large datasets and diverse data types. Our innovative, browser-based dashboard solves these issues, featuring: real-time cross-filtering, dynamic record inspection, and time-lapse animation capabilities.
- [The Enemies of Performance](https://row64.com/blog/the-enemies-of-performance/index.md): The increasing volume of data and advancements in computer hardware have created a significant challenge for businesses: processing and visualizing data efficiently. Despite the availability of powerful hardware, conventional dashboards often experience bottlenecks and slowdowns under high pressure. This is largely due to inefficient code and legacy architectures in visualization platforms. The era of relying solely on hardware improvements for speed gains is limited, as software inefficiencies can negate these benefits. Modern software development often prioritizes hardware improvements over performance coding, leading to missed opportunities for optimization. Legacy database code, developed for older hardware, struggles to integrate new performance technologies, making it difficult to achieve perfect optimization. Row64, a real-time visual business intelligence platform, addresses these challenges by employing modern performance principles and leveraging high-performance hardware. Its founding team, with a background in game technology, prioritizes performance and takes advantage of chip advancements to achieve high frame rates. Row64's custom stack, built from the ground up for maximum speed and scalability, taps into the full potential of modern hardware. The company has identified four major enemies of performance in streaming and dashboard software: memory allocation, cache misses, ignoring hardware, and garbage collection. Memory allocation is slow, and repeated requests and releases of memory incur a time penalty. Cache misses occur when the CPU requests data not present in cache, leading to slower searches through the memory hierarchy. Ignoring hardware opportunities, such as parallelization, GPU utilization, and caching optimizations, can also hinder performance. Garbage collection, while convenient, can introduce performance penalties and memory fragmentation. To combat these enemies, Row64 employs a unified memory approach, where data is vertically integrated, centralized, contiguous, and hardware-driven. Its vertically-integrated stack components share the same memory layout, reducing the need for copies and unnecessary memory allocation. Row64's data format, ByteStream, is optimized for contiguous memory, minimizing cache misses. The platform also utilizes a RAM database, RamDB, designed for high-speed data access and manipulation. Row64's Hybrid Engine adapts to underlying hardware, using optimal resources and providing a direct connection to the hardware. The platform is highly threaded and parallelized on both CPU and GPU, utilizing all available cores and parallelizing network communications and requests. By addressing the challenges of data processing and visualization, Row64 aims to elevate the standards for a new generation of dashboards and data visualization. Its design allows for high-speed data visualization, live streaming updates, and multi-tenancy, making it well-positioned to meet the growing demands of the industry.
- [Row64 At GTC 21](https://row64.com/blog/row64-at-gtc-21/index.md)
- [Introduction to Sentiment Analysis Using Product Review Data](https://row64.com/blog/sentimentforproductreview/index.md): Understanding sentiment with product review data
- [Pepperdine Graziadio Business School Students Pioneer Course Streamlining Data Science Using GPU Technology](https://row64.com/blog/pepperdine-graziadio-business-school-students-pioneer-course-streamlining-data-science-using-gpu-technology/index.md)
- [Integrated GPUs and the Rise of the GPU Dashboard](https://row64.com/blog/riseofgpudashboard/index.md): WebGL, has enabled high-quality graphics rendering and interaction in web browsers without plugins. WebGL 2.0, integrated GPUs, and browser updates have unleashed unprecedented browser-based visual quality and performance. This enables data exploration, visual analysis, and real-time tracking across various domains, making it accessible to diverse audiences.
- [Closing the Detection Gap in Circular Supply Chains](https://row64.com/blog/closing-the-detection-gap-in-circular-supply-chains/index.md): Most supply chains run on the same systems – ERP, TMS, WMS – which don't communicate in real time. That gap is quietly eroding margins across procurement, transportation, and fulfillment.
- [Physical Observability: The Missing Command Center for Physical AI](https://row64.com/blog/physical-observability-the-missing-command-center-for-physical-ai/index.md): AI can now interpret video, telemetry, environmental data, and geospatial context. The question is: do you have the command center to see and monitor it all?
- [Version 3.4 Highlights](https://row64.com/blog/version-34-highlights/index.md): A new software platform has been developed that enables users to work with vast amounts of data, including up to 1 billion records, in real-time. Key features include: Next-generation visual analytics capabilities, including automatic cross-filtering and support for complex data types such as images and text, Advanced geo-analysis tools and real-time data connections, Scalability, with a single instance server costing under $5,000, Simplified toolchain for data ingestion, analysis, and visualization, Compliance and security features, including HTTPS and fine-grain user roles and permissions, Accessibility for technical and non-technical users through a purpose-built IDE and Excel formulas, Robust API for multi-model input and AI automation, Cross-platform compatibility, including mobile and tablet support. This platform aims to revolutionize data application creation, debugging, and deployment by making it easy to work with large data sets and by providing a range of tools and features to support complex data analysis and visualization.
- [How Real-Time Operational Intelligence Can Improve AI Observability and Cut Costs](https://row64.com/blog/ai-observability-blog/index.md): AI failures happen in ways that traditional tools miss, requiring a new approach to observability and governance.  Row64 provides real-time, full-fidelity visibility into AI systems by streaming and visualizing every prompt, tool call, and inference as it happens. That means teams can detect anomalies instantly, control costs, and keep humans involved before small issues become big problems. 
- [From Reactive to Real-Time: How Operational Intelligence Is Transforming Warehouse Operations](https://row64.com/blog/from-reactive-to-real-time-how-operational-intelligence-is-transforming-warehouse-operations/index.md)
- [Maximizing Retail Performance with Real-Time Operational Intelligence](https://row64.com/blog/retail-optimization/index.md): Row64’s real-time platform gives retailers a live operational intelligence hub showing SKU trends, floor layout performance, inventory, and promotions, so decisions happen as events unfold.
- [Build Your Own Data Science Supercomputer](https://row64.com/blog/build-your-own-data-science-supercomputer/index.md)

## Careers

- [Data Engineer](https://row64.com/careers/data-engineer/index.md): Job Opportunity: Business Intelligence Solutions Developer
- [Low-Level Developer](https://row64.com/careers/low-level-developer/index.md): Row64 Seeks Talented Developers for Next-Generation Data Tools
- [Solutions Engineer](https://row64.com/careers/solutions-engineer/index.md): This is a job listing for a Solutions Engineer at Row64
- [Build Engineer](https://row64.com/careers/build-engineer/index.md): Build and Release Cycle Manager
- [Enterprise Account Executive](https://row64.com/careers/enterprise-account-executive/index.md): Enterprise Sales Executive Wanted: Drive Growth with Strategic Approach
- [Low-Level Web Developer](https://row64.com/careers/low-level-web-developer/index.md): Job Opportunity: Deploying Real-Time Visual Intelligence Technology
- [GPU Developer](https://row64.com/careers/gpu-developer/index.md): Data Science Team Seeks Expert in GPU Optimization to Shatter Visualization Records

## Resources

- [How to do a cohort analysis and churn analysis using Python and Row64](https://row64.com/resources/how-to-do-a-cohort-analysis-and-churn-analysis-using-python-and-row64/index.md): How to do a cohort analysis and churn analysis using Python and Row64
- [Effect of AWS on Amazon's Operating Income](https://row64.com/resources/effect-of-aws-on-amazons-operating-income/index.md): Effect of AWS on Amazon's Operating Income
- [Surface Charts](https://row64.com/resources/surface-charts/index.md)
- [Racing Bar Chart Animations (re-ordering bars)](https://row64.com/resources/racing-bar-chart-animations-re-ordering-bars/index.md)
- [ETL Techniques: How to group and sum data inside of a dataframe using Pandas and Row64?](https://row64.com/resources/etl-techniques-how-to-group-and-sum-data-inside-of-a-dataframe-using-pandas-and-row64/index.md): Group and sum data inside of a dataframe using Pandas and Row64
- [Build custom Row64 Data Science Recipes and Share Python code with your team Part #1](https://row64.com/resources/build-custom-row64-data-science-recipes-and-share-python-code-with-your-team-part-1/index.md): Build custom Row64 Data Science Recipes and Share Python code with your team Part #1
- [Top 15 Subreddit Subscriber Growth](https://row64.com/resources/top-15-subreddit-subscriber-growth/index.md): The Subreddit growth chart is a demonstration of row64 to tracking the fastest growing subreddits.
- [How to reorder columns inside of a dataframe using Pandas and Row64](https://row64.com/resources/how-to-reorder-columns-inside-of-a-dataframe-using-pandas-and-row64/index.md): How to reorder columns inside of a dataframe using Pandas and Row64
- [Connecting Dashboard to a Database](https://row64.com/resources/connect-dash-to-db/index.md): Connecting dashboards to databases
- [Geo Big Data Analysis](https://row64.com/resources/geo-big-data-analysis/index.md): Geo Big Data Analysis - 44 Million Cell Towers
- [Line Plots](https://row64.com/resources/line-plots/index.md)
- [Apple Sales By Product Type](https://row64.com/resources/apple-sales-by-product-type/index.md): Apple Sales By Product Type - Chart Showing The Impact of Apple Product Lines On Total Revenue Over Time.
- [How to sort and deduplicate/dedupe columns inside of a dataframe using Pandas and Row64](https://row64.com/resources/how-to-sort-and-deduplicatededupe-columns-inside-of-a-dataframe-using-pandas-and-row64/index.md): How to sort and deduplicate/dedupe columns inside of a dataframe using Pandas and Row64
- [Impact of COVID-19 on US Domestic Box Office](https://row64.com/resources/impact-of-covid-19-on-us-domestic-box-office/index.md): Impact of COVID-19 on US Domestic Box Office
- [How to load, combine and merge CSVs into a dataframe using Pandas, Row64, and the command prompt?](https://row64.com/resources/how-to-load-combine-and-merge-csvs-into-a-dataframe-using-pandas-row64-and-the-command-prompt/index.md): How to load, combine and merge CSVs into a dataframe using Pandas, Row64, and the command prompt?
- [Row64 Dashboard Performance: Contiguous Memory](https://row64.com/resources/dashboard-performance/index.md): performance optimization with contiguous memory
- [How much does your state contribute to federal taxes?](https://row64.com/resources/how-much-does-your-state-contribute-to-federal-taxes/index.md): How much does your state contribute to federal taxes?
- [Stream Graph](https://row64.com/resources/stream-graph/index.md)
- [Bar Chart](https://row64.com/resources/bar-chart/index.md)
- [Direct Python Pandas Dataframe Manipulation without any code](https://row64.com/resources/direct-python-pandas-dataframe-manipulation-without-any-code/index.md): Direct Python Pandas Dataframe Manipulation without any code
- [Density Plots](https://row64.com/resources/density-plots/index.md)
- [Logistic Regression with Row64](https://row64.com/resources/logistic-regression-with-row64/index.md)
- [Custom Recipe Creation Sharing Python Scripts with Team as a Data Scientist](https://row64.com/resources/custom-recipe-creation-sharing-python-scripts-with-team-as-a-data-scientist/index.md)
- [Radar](https://row64.com/resources/radar/index.md)
- [The Decline of CA's 10 Largest Water Resources](https://row64.com/resources/the-decline-of-cas-10-largest-water-resources/index.md): The Decline of CA's 10 Largest Water Resources
- [Tree Map](https://row64.com/resources/tree-map/index.md)
- [GPU Data Visualization](https://row64.com/resources/gpu-data-visualization/index.md)
- [How to change a single value or cell inside a dataframe using Pandas and Row64](https://row64.com/resources/how-to-change-a-single-value-or-cell-inside-a-dataframe-using-pandas-and-row64/index.md): How to change a single value or cell inside a dataframe using Pandas and Row64
- [Cleaning Time Data](https://row64.com/resources/cleaning-time-data/index.md): Cleaning Time Data
- [Row64 WSL2 Dashboards](https://row64.com/resources/row64-wsl2-dashboard/index.md): How to Setup a Dashboard Server on Windows with WSL2
- [Producer Price Index YoY Change](https://row64.com/resources/producer-price-index-yoy-change/index.md): The rampant growing cost of goods and services in the United States, YoY
- [Gender Pay Gap Analysis](https://row64.com/resources/gender-pay-gap-analysis/index.md): Gender Pay Gap Analysis - gender pay gap over time
- [Data Mining](https://row64.com/resources/data-mining/index.md)
- [Fast Data Science Recipies](https://row64.com/resources/fast-data-science-recipies/index.md)
- [Supply Chain Guided Tour](https://row64.com/resources/supply-chain-guided-tour/index.md): SUpply Chain Guided Tour
- [ETL Techniques: Extract data from a database and import it into dataframe using Pandas and Row64?](https://row64.com/resources/etl-techniques-extract-data-from-a-database-and-import-it-into-dataframe-using-pandas-and-row64/index.md)
- [GPU Data Cleaning](https://row64.com/resources/gpu-data-cleaning/index.md)
- [Example Animation: Racing Line Chart](https://row64.com/resources/example-animation-racing-line-chart/index.md)
- [GPU Dataframe Operations](https://row64.com/resources/gpu-dataframe-operations/index.md)
- [Big Data Text Search](https://row64.com/resources/big-data-text-search/index.md): Big Data Text Search - Product Review Example
- [Dash-Sql And Join](https://row64.com/resources/dash-sql-and-join/index.md): Leverage SQL to gather and prepare data with Row64 Dashboards.
- [State of Data Software Survey 2024](https://row64.com/resources/state-of-data-software-survey-2024/index.md): The survey conducted on data analysts revealed that Microsoft's Excel and Power BI are the most popular data analysis software, with 65% and 46% usage respectively. Tableau was also widely used by almost half of the respondents, while Qlik had a strong showing with 23% usage. Python, although not included in the survey, is growing in popularity among analysts. The survey found that data software lag persists, with ⅓ of respondents reporting software lag on every project and 94.2% reporting lag on at least some projects. This process can take up to 8 hours for almost a third of companies, and for the slowest 10%, it can take more than a full business day. Python is necessary for modern data analysts, but most respondents said that more Python programming expertise is holding back otherwise capable data analysts. Data visualization is crucial, but 88% of analysts said that the difficulty of making these visualizations is reducing the impact of their findings. The full survey results, including demographic data and access to all 17 questions, are available upon request.
- [Example Animation: Reordering Bar Charts](https://row64.com/resources/example-animation-reordering-bar-charts/index.md): Example Animation: Reordering Bar Charts
- [How to expand data science python skills to everyone with Row64?](https://row64.com/resources/how-to-expand-data-science-python-skills-to-everyone-with-row64/index.md)
- [GPU Spreadsheet](https://row64.com/resources/gpu-spreadsheet/index.md)
- [Menu Bar Tabs (Pandas Dataframe, Spreadsheet, and Notebook)](https://row64.com/resources/menu-bar-tabs-pandas-dataframe-spreadsheet-and-notebook/index.md): Menu Bar Tabs (Pandas Dataframe, Spreadsheet, and Notebook)
- [Python Radial Charts Tutorial Circular Bar Chart, Donut Chart, Pie Chart and Radar Plots in Row64](https://row64.com/resources/python-radial-charts-tutorial-circular-bar-chart-donut-chart-pie-chart-and-radar-plots-in-row64/index.md): Python Radial Charts Tutorial Circular Bar Chart, Donut Chart, Pie Chart and Radar Plots in Row64
- [Horizontal Bar Chart](https://row64.com/resources/horizontal-bar-chart/index.md)
- [GPU Charting](https://row64.com/resources/gpu-charting/index.md)
- [Seaborn PairPlot and Using Hue Parameter](https://row64.com/resources/seaborn-pairplot-and-using-hue-parameter/index.md): Seaborn PairPlot and Using Hue Parameter
- [GPU Financial Modeling](https://row64.com/resources/gpu-financial-modeling/index.md)
- [30 Million Rows](https://row64.com/resources/30-million-rows/index.md): 30 Million Rows - Test Load Speed and Filtering
- [Recipe Manager, Dependencies, PIP, Debugging: Python Libraries installed on demand, Debug Tools](https://row64.com/resources/recipe-manager-dependencies-pip-debugging-python-libraries-installed-on-demand-debug-tools/index.md): Recipe Manager, Dependencies, PIP, Debugging: Python Libraries installed on demand, Debug Tools
- [10 Million Rows](https://row64.com/resources/10-million-rows/index.md): 10 Million Row Performance Test
- [Geo Analysis](https://row64.com/resources/geo-analysis/index.md): Geo Analysis - Next gen graphics
- [Heat Map](https://row64.com/resources/heat-map/index.md)
- [Row64 Cloud & Server 101](https://row64.com/resources/row64-cloud-server-101/index.md): Overview of Row64 Server and cloud setup
- [ChatGPT as a programming assistant.](https://row64.com/resources/chatgpt-as-a-programming-assistant/index.md): Leveraging LLMs to generate code for Row64 python and SQL recipes
- [Bubble Plot](https://row64.com/resources/bubble-plot/index.md)
- [Dashboard-Sentiment](https://row64.com/resources/dashboard-sentiment/index.md): Use our dashboard sentiment analysis tools to quickly understand massive amounts of unstructured data.
- [Example Animation: Animated Donut Charts](https://row64.com/resources/example-animation-animated-donut-charts/index.md)
- [How to delete or remove columns inside of a dataframe using Pandas and Row64](https://row64.com/resources/how-to-delete-or-remove-columns-inside-of-a-dataframe-using-pandas-and-row64/index.md): How to delete or remove columns inside of a dataframe using Pandas and Row64
- [Use premade data science with templates learn Python Pandas and Data Viz](https://row64.com/resources/use-premade-data-science-with-templates-learn-python-pandas-and-data-viz/index.md): Use premade data science with templates learn Python Pandas and Data Viz
- [Disney Parks Annual Attendance](https://row64.com/resources/disney-parks-annual-attendance/index.md): Disney Park Annual Attendance over time
- [Spreadsheet Formulas](https://row64.com/resources/spreadsheet-formulas/index.md): Spreadsheet Formulas - Pokémon Go Geoanalysis
- [GPU GEO Analysis](https://row64.com/resources/gpu-geo-analysis/index.md): Explore large scale geo analysis in realtime with Row64 
- [Example Animation: Animated Line and Bar Charts](https://row64.com/resources/example-animation-animated-line-and-bar-charts/index.md)
- [Real vs. Normal Disposable Income](https://row64.com/resources/real-vs-normal-disposable-income/index.md): Animated Line Chart depicting the relationship between Disposable Income value and Value Adjusted for Inflation.
- [Row64 Dashboard Training - Overview](https://row64.com/resources/row64-dash-train-overview/index.md): Row64 Dashboard Training Overview
- [The Future of Data Visualization](https://row64.com/resources/data-visualization/index.md): High Speed interaction with massive data sets
- [Word Cloud](https://row64.com/resources/word-cloud/index.md)
- [Racing Line Chart Animations and Keyframe editing](https://row64.com/resources/racing-line-chart-animations-and-keyframe-editing/index.md): Racing Line Chart Animations and Keyframe editing
- [100 Million Rows](https://row64.com/resources/100-million-rows/index.md): 100 MILLION ROWS Load Speed
- [Cloropleth](https://row64.com/resources/cloropleth/index.md)
- [AECOM Museum Attendance 2012-2021](https://row64.com/resources/aecom-museum-attendance-2012-2021/index.md): AECOM Museum Attendance 2012-2021
- [Word Clouds in Realtime](https://row64.com/resources/word-clouds-in-realtime/index.md)
- [A1 Notation](https://row64.com/resources/a1-notation/index.md): Leverage Spreadsheets and A1 notation directly in your dashboards
- [Date Charting Features](https://row64.com/resources/date-charting-features/index.md)

## Root Pages

> Pages at the root of the website

- [Industry Use Cases](https://row64.com/solutions/index.md): When time-to-action is critical, Row64’s real-time data visualization makes all the difference for fast-paced operations.
- [Close the Detection Gap with Real-Time Operational Intelligence | Row64](https://row64.com/index.md): Every second between a critical event and operator action carries risk. Row64’s operational intelligence solution closes that gap by delivering an operational layer that eliminates decision latency in mission-critical environments.

## Products

- [The Row64 Stack](https://row64.com/products/index.md): Row64 optimizes for decision speed with a GPU-accelerated operational runtime, browser-based data visualization, and end-to-end APIs that any application can build on.
- [Pricing](https://row64.com/products/pricing/index.md)
- [Operational Intelligence Examples](https://row64.com/products/demos/index.md): Choose from the list below to interact with our live examples.
- [No Latency. No Limits.](https://row64.com/products/speed/index.md): Unlike fragmented stacks, Row64's components share one format. There's no overhead from transforming or copying data between layers — which is why it runs up to 100x faster on high-volume workloads.
- [One Canvas. Multiple Data Types. All Live.](https://row64.com/products/visual/index.md): Row64’s browser-based GPU-accelerated canvas brings live telemetry, geographic layers, warehouse data, and unstructured content together, so operators can see, filter, and act on what’s happening, without switching tools.
- [Built to Automate at Every Step](https://row64.com/products/extensible/index.md): Every capability in Row64's operational runtime is API-accessible — so teams can automate from signal to decision, without replacing existing infrastructure.