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Data Visualization

Meet other local people interested in Data Visualization: share experiences, inspire and encourage each other! Join a Data Visualization group.
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Frequently Asked Questions

Yes! Check out data visualization events happening today here. These are in-person gatherings where you can meet fellow enthusiasts and participate in activities right now.

Discover all the data visualization events taking place this week here. Plan ahead and join exciting meetups throughout the week.

Absolutely! Find data visualization events near your location here. Connect with your local community and discover events within your area.

Data Visualization Events This Week

Discover what is happening in the next few days

Primeros pasos en Inteligencia Artificial con AWS IA Latam
Primeros pasos en Inteligencia Artificial con AWS IA Latam
โœจ ยกLlega el primer meetup de AI Community LATAM! ๐Ÿ‡ต๐Ÿ‡ช๐Ÿค– Estamos muy felices de invitarte a nuestro primer evento de la comunidad, un espacio pensado para quienes quieren empezar a aprender Inteligencia Artificial desde cero y entender todo lo necesario para dar sus primeros pasos en este mundo increรญble. Speaker 1: Edson Chavez - TBD Speaker 2 Doris Manrique - 50 tรฉrminos de LLM que debes conocer Speaker 4: Luis Guerra - Do it Yourself con Kiro Hablaremos de: ๐Ÿ’ก Conceptos bรกsicos de AI ๐Ÿ› ๏ธ Herramientas para comenzar ๐Ÿš€ Oportunidades de aprendizaje y crecimiento ๐Ÿค Networking con personas que tambiรฉn aman la tecnologรญa Si te interesa la AI, estรกs empezando en tech o simplemente tienes curiosidadโ€ฆ este meetup es para ti โœจ Muy pronto compartiremos fecha, lugar y registro ๐Ÿ‘€ ยกQuรฉ emociรณn construir esta comunidad juntos! ๐Ÿ’œ

Data Visualization Events Near You

Connect with your local Data Visualization community

Data & Analytics Wednesday - Compensation Data
Data & Analytics Wednesday - Compensation Data
**People Analytics 101: Making Sense of Compensation Data** Compensation data is one of the most widely used and widely misunderstood forms of people analytics. The session will cover where compensation data comes from, including market pricing data, internal payroll data, and benchmarking sources, and how companies think about structuring and analyzing that information. We will explore how compensation data is leveraged to set salary ranges, manage internal equity, support hiring and retention, and align pay with business strategy. A portion of the session will address common data challenges and limitations, such as market noise, inconsistent job matching, and incomplete datasets, while keeping the primary focus on practical use rather than technical depth. The session will also look ahead at where the space is going, including the growing impact of pay transparency laws, expanding pay equity requirements, and emerging regulations in the US and Europe that require organizations to report on gender and pay gaps. The goal is to give attendees a clear mental model for how compensation analytics works today and why getting it right is becoming increasingly critical. (note: we are back at Rev1 this month!) **About Our Speaker** [Alex Moore](https://www.linkedin.com/in/alexscottmoore/) is the founder of [Moore Cooperative](https://moorecooperative.com/), where he advises organizations on compensation strategy, pay equity, and people analytics. His work focuses on helping organizations like the Ohio Supreme Court design, analyze, and communicate compensation systems that are data-informed, defensible, and aligned with organizational goals. Alex lives in Granville, Ohio and has three little kiddos. More info at [cbusdaw.com](https://cbusdaw.com)
CBusData - Ok I Want to Get Data into Fabric - Now What?
CBusData - Ok I Want to Get Data into Fabric - Now What?
I love my job and one of the main things I do is help customers get going with any of the data technologies at Microsoft. Right now there are a lot of my customers asking about Microsoft Fabric. It's hard to weave across all the shiny new options across the Fabric landscape, let alone figure out where it fits into your organization. In this session we'll focus on answering one question - how can I get data into Fabric? We'll talk through the "it depends" options and see some of the options in live demos.
COhPy Monthly Meeting
COhPy Monthly Meeting
**NEW LOCATION: Improving Office in Franklinton** Physical location: Improving Office 330 Rush Alley Suite #150 Columbus, OH 43215 Schedule: * 6:00 p.m.: Socialize, eat, and drink. Improving will be providing pizza and beverages. * 6:30 to 8:00 pm. Main meeting and presentation(s). See the handy Parking Map - we recommend street parking. [Street Parking Map](https://docs.google.com/presentation/d/1u2A4fLNlxwLJn0KA_hKc8bnFlFHLvsHBDh-_8wzX_tk/edit?usp=sharing) We meet on the last Monday of each Month. Presentations are given by members and friends of this group. If you would like to do a presentation (small or large) on a python topic, please contact centralohpython@gmail.com
Data Pipelines at the Advanced Photon Source
Data Pipelines at the Advanced Photon Source
**Abstract:** The Advanced Photon Source (APS) is an X-ray light source at Argonne National Laboratory where researchers perform imaging, diffraction and spectroscopy experiments at 68 specialized beamlines. APS recently completed a major upgrade that made it the brightest synchrotron in the world and upgraded many of the beamlines to take advantage of the dramatically brighter, more coherent beam. These new capabilities are increasing the facilityโ€™s raw data production from <10 PB/year before the upgrade to >100 PB/year once all instruments are back online. To meet this data challenge, the APS Beamline Data Pipeline project team is partnering with beamline staff to develop and deploy science data pipelines that use a common set of open-source software tools (many written in Python) to link instruments with the Polaris supercomputer at the Argonne Leadership Computing Facility (ALCF) for data processing. This talk will describe the APS data systems, our file-based and streaming pipeline templates, and some of the open-source software we use to extract scientific insights from beamline data. **Audience Takeaway:** Open source Python data acquisition and analysis tools are ubiquitous at the APS. Many of the packages that are mentioned can be found at [https://github.com/AdvancedPhotonSource](https://github.com/AdvancedPhotonSource). This is a *hybrid* event. To attend online, join us on Zoom here at 6pm: [https://numfocus-org.zoom.us/j/89399976851?pwd=UEgMUZXdYmKdK1x1dIPL6hwUYnp7NW.1](https://numfocus-org.zoom.us/j/89399976851?pwd=UEgMUZXdYmKdK1x1dIPL6hwUYnp7NW.1) **Sponsor**: Grainger will provide the meeting site, as well as snacks for the onsite participants. * **Address:** 222 W Merchandise Mart Plaza, 18th Floor, Chicago, IL 60654 * **Grainger's Overview:** W.W. Grainger, Inc., is a leading broadline distributor with over $17 billion in revenue. At Grainger, We Keep the World Workingยฎ by serving more than 4.5 million customers worldwide with maintenance, repair, and operating (MRO) products and services delivered through innovative technology and deep customer relationships. Our machine learning team builds broadly across search, recommendations, product matching, computer vision, and generative AI. * **Logistics**: To access the Grainger office, we require **first and last names** of those who RSVP'd by **Feb 11**. Please take the main elevators at the center of the Mart. Attendees will then present their **IDs** when they arrive at the front desk on the 18th floor.
Columbus PHP: Monthly Meetup
Columbus PHP: Monthly Meetup
Our monthly PHP meetup. A virtual shindig courtesy of Zoom. Check back here for the details around 6:15 pm
NFT AI ART Columbus
NFT AI ART Columbus
NFT's are here to stay folks! This is a group for like minded people interested in understanding, leveraging, using, creating for, profiting from, trading too i suppose, NFT's.. everything around them, complexity, fear and exploits, best practices and more. **PLUS** This group will talk AI ART tools, techniques, artists, video, audio, prototypes and more in the AI assisted production space- ART specifically, but we can get into any aspect of some of the cooler things happening in AI in general.
TBD
TBD
**Important time note:** Please plan on arriving between 5:30 and 6:00 as the elevators lock after 6 and you'll need to message us and we'll need to come get you. The building address is 4450 Bridge Park The entrance is 6620 Mooney St, Suite 400 **Abstract** TBD **YouTube Link** TBA