Coffey & Code Episode 43: Let's Talk Data Visualization with Travis Tester

3:50AM Sep 21, 2022

Speakers:

Ashley Coffey

Keywords:

data

data visualization

tableau

bit

mental health clinics

travis

visualizing

people

tech

taught

education

skills

called

absolutely

big

super

vr

coffee

graphic design

certifications

Hello, and welcome to another episode of Coffee and code. I'm your host, Ashley coffee. I'm excited to have a really awesome guest on the show with us today. He is multifaceted. He is a data visualization expert. And his name is Travis tester. You're going to talk about data, and why it's important and how it can empower people to visualize data in their lives. So Travis, welcome to the show.

Thank you so much, Ashley. I'm really happy to be here. And real quick, before we begin, I'd like to give a shout out to Rebecca behind the scenes for helping out. Yeah, yeah.

Thank you, Rebecca. snaps to Rebecca. For those of you listening, Rebecca is my assistant. She's amazing. I do a lot of things. And I couldn't do a lot of what I do without her. So

thanks, Ray. Thanks for the shout out. They're pretty sure and also want to say I'm just big fan of the name of the podcast, coffee and code. I drink like a pot of coffee a day.

Oh, I love that. I love that. You're a brand advocate. Someone told me recently that I should call the listeners coffee beans. What do you think about?

I can dig it. I can dig it for sure.

Like Lady Gaga has little monsters got coffee beans? Yeah, absolutely.

Yeah, we turn coffee into code. And I have the lamest tech joke is in the morning, when I get my coffee, I say, installing Java. And then all my it co workers just laugh and roll their eyes at me. So yeah, I'm glad to be here. Coffee and code has been a long time coming. And just want to say hi to all the listeners.

Thank you, Travis. I'm so excited for you to be on here. Because data visualization isn't really a topic that I've dove into on the show and you're the perfect person for this. Data visualization is just a whole world I subscribed to the subreddit data is beautiful in a lot of other things. And I think that subreddit really convinced me the power of data visualization. So before we kind of dive in Travis, can you tell us a little bit more about yourself?

Yes, I currently work as a data analyst for a company called my care, integrated software solutions. They're based here in Oklahoma City. And prior to that I formally taught at the Oklahoma City University over there on 23rd and Blackwelder in the studio design department. I taught a lot of graphic design courses, publication courses, also web development and web design. And I also before that taught at UCLA and their fine arts department as well. And I taught a lot of like business management and digital media type courses. So pretty much Adobe instructor for five years or so for a lot of that. And some other technologies in there as well.

That's awesome. So I feel like you saw a lot of technology change during your course of teaching, right?

Oh, yeah. I mean, and then even just as a student to a lot of that was with social media and, you know, watched all the Creative Cloud products develop over a decade as a student and an educator there, and what designs come a really long way as well. You know, Webflow, super cool, not really using Squarespace or Wix or any of those other players anymore. So yeah, lots of different shifts have happened. different screen sizes. But yeah, lots of really cool new tech has happened the last decade, and the one coming up is going to be even crazier.

We really are on the like the doorsteps of the Fourth Industrial Revolution. And I feel like it's like, oh, it's gonna explode. It's gonna be exciting, be driven by AI and data. Exactly, which is why it's important to understand that data, because everything that we do, has a data point attached to it. I heard a wild statistic the other day that it wasn't data points, but it was like the amount of like marketing messages we get every day. It's 10,000.

Yeah, that blew my mind too. And I was like, No way. And then I woke up and I started trying to count throughout the day, as is probably true.

filed. So Travis, you've told us a little bit more about yourself. Now tell us a little bit more about what you do. Like what is your day to day look like? What are your your things that you're diving into data visualization wise?

Yeah. So my work as a healthcare analyst has been super, has a lot of variety to it. So predominantly, the most of this year, I've been working on cannabis related data for all the testing labs in the state of Oklahoma, making sure that they're being able to detect certain analytes in the product that they're able to And kinda trying to keep the quality assurance of that product high for cannabis consumers within the state. And by do other types of work too. But on the day in and day out, you know, build a lot of dashboards within a program called Tableau, which is owned by Salesforce, really powerful business intelligence tool, its competitor is Microsoft Power BI, if you've heard of that one as well. So those are the kinds of two players when it comes to visualizing your data in a business setting, or an organization. So if you're looking to grab some new skills, that's a great tool to put on your belt, Tableau, super big fan of it. It's changed my life learning how to use Tableau, but also do a lot of Yeah, it's it's super, it's gaining a lot of popularity, it's really fun, kind of a fun tool to use, and be a little wonky sometimes. But most programs, right, but

then you have, you just have so much possibilities. But I want to say like if anyone's listening, if you want job security, get a certification in Tableau or Power BI, and you're,

you kind of are for sure, it's, it's highly sought out skill. You know, data analysts is kind of an entry point into data, the world of data, and SQL, Tableau, those are the things that recruiters are looking for. Absolutely. But other than that, I do get to use a lot of UX and UI design, in my day to day, so I use Adobe XD for that. That helps a lot in designing dashboards and digital products for for data driven products, like a lot of apps, software's as a service, which is, you know, SAS and then you know, web design and web development, things like that, that are like kind of the front end of data entry, you know, for certain websites and things like that. And then we also get to do a little bit of programming and coding as well. You know, R and Python are in the mix, and obviously, greatly equal, yes, shout out to both of those. And obviously, tons of meetings and stand ups and agile sprints and discovery. And that takes up a lot of my day as well. But it's always fun, you know, you're the designing developing. Lately, what I've been learning is snowflake, the database, yes, data wake warehouse, it can do it all. It's a really impressive technology, it's super easy to use. So I'm starting to get into data engineering a little bit as well. And trying to be able to stand up databases load data in by creating, like pipelines, and then hooking up Tableau to those databases, and then visualizing it. So I'm starting to shift from Yeah, doing data analysts and data engineer work is kind of where my day to day kind of looks like right now.

Question for you. Would that be similar to Quartz Composer? Where Yeah, basically building a dashboard out of like, different circuits of information?

Yeah, very similar. Basically, good to know. Yeah. And so that's a little bit about what I do, or what I you know, the day to day looks like and what I've been doing this year, and I got some really cool work that I think you're gonna find really interesting coming up, I can tell a little bit about. So there's a lot of community, excuse me, there's a lot of mental health clinics here in the state of Oklahoma, as we know that, like our education is not very good. We don't get a lot of funding for mental health and, you know, some parts of the state of Arizona some very poor. So we'd have like a mental health problem within the state says, Yeah, because it isn't good. We could say that for sure. And so, a couple years ago, on a federal level, you might know about this, actually. And we might start jamming and talking a lot about this. But there was an initiative and a, you know, kind of a program that was created to help. I think there was maybe 13 states that signed up, kind of as the beta trial test run. And what they are doing is they are reporting with data on nine specific measures called UCI continuous quality improvements, essentially. And mental health clinics that report on these nine and meet a couple other criterias can apply at a federal level to get this designation called be CCBHC, which is a certified community behavioral health center or clinic. And Oklahoma is one of those states that's in this program, and a lot of

Oh, my gosh, I know exactly what you're talking

about. Yes. And so this is what most of my work revolves around, actually. Yes, this kind of stuff is

amazing. What Yes, what fulfilling work. Wow.

It's pretty cool. And if I left education, it was like, I want to do something I can still like make an impact. Right? That was definitely huge criteria. And so these mental health clinics as you can guess they just don't have the skilled technical IT workers as far as like data professionals. Go Oh within their companies to maybe achieve this CCBHC. So we have, like my company that I worked for is a DCO. It's a designated collaborating organization that is going to work with a lot of the mental health clinics in the state of Oklahoma to set up reporting on their data. And that's going to be done through Tableau and dashboarding. To report on these nine measures to the federal government, and then they should be able to receive funding in pretty much direct relation to their reporting. And their we're going to help them get these kinds of certifications so they can become CCBHC ease and give Oklahomans better care through mental health.

That is incredible. And also, I want to talk about the benefit of like job creation there too, because I have a feeling that a lot of people will learn from this process, whether that's learning how to, you know, input data, or learning a new programming skill like that, right there, I think is really powerful, kind of like a nice cycle. And in a positive way, that's really good to know. Thank you so much for sharing that.

Yeah. And I can, you know, share too much about that, like, on the day to day just because it's so much pH I kind of information, HIPAA and things like that. But it's nice to talk about, like the overall project, and like, you know, the 30,000 view foot of it up in the, you know, overhead and things like that.

100%. And for everyone listening, that's maybe in Canada or another country, Oklahoma is smack dab in the middle United States. And yeah, we're we're not really highly ranked in education, but we're working on it, and working on mental health as well. And the good news is, is that in the USA, we have a new mental health lifeline. It's the 988 line. So if you are someone that you know, is experiencing a mental health crisis, nine and eight is a good line that will get you connected immediately to resources and get you help. So wanted to put that out there. But, Travis, this is amazing. I feel like I could have an hour long conversation with you or more. But I want to I want to kind of circle back around to how do you how did you get involved in the world of data visualization? Can you tell us that story?

Yeah, that's a great question. And hopefully, some of your listeners find it inspiring. I would assume most of them are going to probably be the technical crowd. But if you do have listeners who are maybe a little bit more low tech or low code, or not as savvy with the tools, definitely inspiring story. So I was teaching at the time. I believe I was on both campuses for a while I was teaching simultaneously at one school during the day and then go into the other college campus at night to teach night courses. Wow. And yeah, so it was really fun before obviously, like, you know, C 19 kicked up. And then like, as the pandemic progressed, it just wasn't like as enjoyable. And we, you know, as the enrollment was down, and just, you know, class sizes were down and the one of the presidents that used to where the President used to had a big meeting with all the departments would call us in want to, well, we're, it's funny, it was we'd actually did on Zoom, because it's like, you know, middle of pandemic, and but we would meet with all the professors, university chairs and heads and then like the president themselves, and she kind of just came to each department, one by one, and a different zoom meeting was like kind of explaining, and you could look it up. I mean, UCLA has been having some serious budget issues for a while. And she kind of like tipped us off to that she said, you know, you know, just like budgets not looking good. And wasn't saying she we were a lot of us are about to get fired. But like I could kind of read between the lines. And I was adjunct at that time. So I was nervous. I was lower maybe on the totem pole. And so before just finding out and just like getting axed one day, I was like, I need to be proactive and look for something new. And so literally the next day, I'm on LinkedIn. And I see that Google had just released all these new professional cert like certifications. Literally that week, I think it was like Wednesday when I was on LinkedIn, and they dropped on Monday. And so they offered them through Coursera. And I think originally they had only an it kind of professional or support. And, and that was like the first one that they did. And then after they they they released a whole bunch more UX design, data analytics, project management and Android development. Those were the four that they dropped that one week. Wow. And I was a graphic designer. So I probably I probably should have went into UX design. But I looked at all of the courses and saw that data analytics paid the best. And so that's someone that I enrolled in. And so the next day, I was on my way to becoming a data analyst through that Google Analytics certificate. And that was through Coursera. And I had some data entry data entry experience in Excel for that. And to be honest, I kind of thought it was a little bit lame, I really didn't enjoy it. And then I got to the chapter on Tableau. And then I realized that we could visualize data. And that's what kind of helped me push through the certificate and the specialization, because working in just spreadsheets wasn't really doing it for me. And then we got to SQL. And super fun language for sure. But you know, it's just select from where it's pretty much, it's pretty much the language. Yeah, and I really wasn't having that fun with like the right, you know, or whatever the side, that's the more logical and that was one team that I creativeness as a graphic designer. And once they showed me Tableau, and I was like, Oh, I can do this, because I can take the business acumen, and kind of combined it with graphic design, and really help businesses like move the needle. And that's really what hooked me in. And that's how I got into the world of tech. And was really through that Google Data Analytics course.

That's such a cool origin story.

Yeah, it's kind of crazy. I mean, I've always been a tech kid, I grew up in the country where like, we didn't have neighbors and I didn't really like to play outside. So I was like gaming, and like, always on the computer as soon as we got internet and things like that. But I was never like a script, kind of like kitty or, you know, never did command line stuff. Essentially, it was always kind of just like someone who like to either create on the computer or just use it to entertain themselves. So you know, a lot of millennials can probably relate to that as far as being like, kind of techie, just because they used it. And so I just had to kind of learn how people were making these things and starting to learn like this, a little bit of computer science basics, as well. But yeah, I'm a I'm a certificate specialization kind of kid that came up and, you know, making double what I was as an educator a year ago, which is crazy.

That is wild. I love love, love, love, love the story for so many reasons. And thank you for sharing it. Yeah, my

wife is retiring next week.

Hey, that's exciting. Congrats to your wife.

She's quit and she's quit and I got a raise. So she's heading home.

Right? That's awesome. But like, what a great one, you turned a potentially negative situation to like, a situation where I have the power to change this, and you did, but like, what a beautiful intersection of graphic design background and data visualization. Like, if I take a step back and think about that, I couldn't think of two more complementary fields.

Yes, and that's the coolest thing about graphic data analytics is it, you gotta know, kind of a lot of different things to be honest. And I had a whole bunch of really disparate skills from my past that I was not able to combined in any shape, or form to be profitable or valuable to society. And it wasn't until I found this kind of career and profession that I was able to, like, tie in all those past experiences. And, like, still be able to use things I learned way long ago, and, you know, just kind of bundle and package it into one nice, you know, you know, package or box, which is really cool. So And

Coursera to like, if the fact that you I mean, I feel like the internet, obviously has democratized access to knowledge and education, yes. You can literally go on the internet and do it. And that's what you did. And I love that, yes, education

should be free. It's weird, I was a teacher for so long. And I just did not like the fact that there was this application process, and you have to have a bunch of money and the class sizes were at a certain place, a physical place with a physical cap on it, in my opinion, like, you know, information should be available to all in the classroom should be, you know, not have walls and shouldn't costs, you know, you shouldn't have to have rich parents or whatever to get that education. So, you know, it's really weird. I taught in college for so long, but I'm such a believer and you know, more accessible edge education, like you said, and not gatekeeping on it.

Yeah, shout out to our local libraries, the class physical structure where you're not expected to buy anything. And you can freely access information. So if you're listening in the US or actually under anywhere, check out your local library, learn some stuff, I think, I really think we're seeing this interesting transition, at least here in the US of this. Excuse me, college education is no longer the same thing that it meant. I would say 50 years ago, right? You can gain these skills with experience. I mean, there are of course going to be certain professions like being the medical profession, or an accountant or you do have to have these certifications and experience but with the technology, I think there's more opportunity for people and especially with hybrid work being here to stay in provides more opportunity for people to utilize those skills and their home and not have to go into a workspace and be able to control their environment.

Yes, yes, work is becoming less of this like place you go. It's more of this thing you do, right? Mm hmm. Like that?

Yeah, if you're results driven, doesn't matter where you're where you're physically located.

Yeah. And for those who don't, you know, we're haven't checked out. Coursera are unfamiliar with it. A lot of the specializations on there are taught by some of the leading universities. And we got John Johns Hopkins on there, you got Harvard, and Stanford and Duke and the rest. So you can get a really quality education online for little to nothing, you know, and some of these places even offer education for free. I mean, check out ces 50 on YouTube, you know, yeah. Crazy. They give that out for free. That's nuts.

You just finished it right? What did you think?

No, I'm like a third through it right now. But it is fantastic. And it has already upped my knowledge of like, data, like at a fundamental level, how it's created, how it's stored, how it's moved, those kinds of things.

Nice, nice. Well, this is a good segue for my next question. Did you feel like emerging tech like VR or AR helped you teach data vis to your students? One thing I want to think about and mentioned here is virtual Olympics. It's a software that I used when I was an emerging tech librarian at ODU. And I was looking for data visualization in VR. So did you feel like emerging tech helped you teach?

Um, so I wasn't able to teach something. So niche as data visualization to my students, I was a little bit more generalist in my graphic design education. And it was kind of just like, the fundamentals of design, essentially. So I didn't get to use a whole bunch of VR and AR like, in the classroom. But I do have a cool point that I want to bring up about this topic is like, data visualization does have this very tricky kind of scenario where they have to cross this very strange bridge for AR and VR in the future. Let me kind of explain it's they have a hurdle to overcome with the adoption of this VR and AR tech. Because like, traditionally 3d objects that are rendered or printed in like 2d, they kind of a negative, there's kind of a negative effect on like, the accuracy, I guess it's a perception type thing. So maybe, if you can think back to, if you've been in Excel, and you've seen some of those, like really horrible 3d bar charts, yes, we all have seen those, right? It's kind of difficult to find the exact percentage of that bar, where if you have them kind of, maybe in a row, or kind of like, stacked, forward and back. Anything that's, you know, imagine we're in 3d space, a bar chart that's in front of you, and one that's a little bit further away from you, the one that's closer to you, even if it's shorter, would appear a little bit bigger, like wider than something that's further away. Which might look smaller, even if it's taller. And so there's definitely like a little bit of a challenge there for date of is in the 3d Because I am really into 3d technology, love blender,

and unity, and a great available tool.

I'm saying any all CEUs 50s for free, blenders free ours free. Python is free. There's no excuses. You know,

true should have time and patience. Yeah.

And that's sometimes time is hard to find. That's for sure. That's for sure. This is

why when your free time you like to gameplay, right?

Oh, yeah, yeah, for sure. Um, but before we jump into that, I do think that some of the interaction that will come with VR, and xr will allow business owners to get a little bit more of a 360 view of their data. And like, it's kind of literal, you will be, but haven't been able to zoom in on like, coordinates or something like that, if you have like a really tight cluster of data. That could be kind of cool. So I think there will be some awesome use cases for data visualization in that 3d XR AR type environment. But there's definitely some obstacles and hurdles and accessibility challenges that lay there.

Absolutely, absolutely. And it's interesting to think about, you know, data visualization and that, you know, 360 way and I think there needs to be of course, you have to start with clean data and the foundation. And I think a lot of institutions have an issue with that and it's, it's about you know, focusing on the basics sometimes of the foundation before you take this next step into what is that next

thing infrastructure is everything. I mean, like 80% of my job is trying to, like, collect data and then clean it. And like 20% is the fun part of visualizing it.

Yeah, absolutely. Wow. And I think that with these different types of technologies, if you think about, for example, the Tobii, eye tracking, they're, they're very, they're a known company that makes an eye tracking headset. I don't want to misrepresent the data point here. But it's actually it's massive. It is the tick of a data points that you get from a phone or two dimensional web screen like you know, your heat maps and where a person visited a website, or looked at your you're gathering the available information off of the sensors on your phone, or your device or whatever it will with. With VR, there's so much there's infinitely more. And as these headset companies are building these technologies, there's more sensors that can gather more data points from you like, what button Did you press? What was your gaze, your positional gaze? What were you doing? Like, what were you looking at? What did you like, look away from you know, these massive amounts of data points can tell literally everything about me to advertising, right? If someone's target me, all the data is there. So I really hope that there's ethical data collection happening in the future. But I worry whenever you've got singular headset manufacturers like Mehta being first to market with a consumer, conveniently priced consumer level headset. So yeah, there's just a lot to think about there on on data privacy.

Yes. And being marketed at at this point is probably the the least nefarious use. You know, I'm saying and I mean, real quick, have you seen the video that came out this week that showed this AI camera that was able to show? Like, it showed people who were taking pictures on Instagram on the street, it was using, like, CCTV type thing? No, send that to me. Yeah. Well, cybersecurity for incident to me, but it was a pretty much a CCTV, you know, so it's using Street cameras, you know, on public streets. And it was some kind of algorithm program that was scanning through Instagram, uploaded pictures of influencers in big cities, and it would look for that photo. And then it would go on the CCTV footage and like, pretty much show that individual taking the photo like as they Yeah, the photo that they post. Yes, yes. It's crazy. It's really crazy. So I'll send that to you for sure. Oh, my Yes, my. That's what I'm not thinking about doom and gloom. I'm definitely gaming a bit.

Oh, wow. Sorry. I didn't mean to like dive in there so quickly. That's just wild.

Yeah, it is pretty crazy. Oh pinpointed it. Yeah. It's startling, startling.

No, I think about that often of I don't want to go into a tangent. But whenever you take a photo, right, just look like a random person takes a photo, on a plane on train, whatever. And if you think about the tertiary data in those photos, like for example, I don't know if anyone is familiar with photogrammetry. photogrammetry has been around for decades. But it's the process of taking photographs of a space or an object, and combining those photographs to generate a three dimensional model or a three dimensional space. So it's a great thing to use if you're archiving historical places, historical objects, but there are instances where, for example, recreations of historical objects or places that have been destroyed. They'll take like crowd sourced photographs from people that have gone on their vacations over the years. They recreate something based off of accounts, and they're using the tertiary data from people's random people's photographs or rebuild these things. Isn't that wild?

That is pretty crazy. And they're probably using a lot of different photos to do that, like a lot of different people's. Right, right. Hundreds. wildness.

Yeah, and I want to mention to everyone listening, that we've talked about some resources, and Travis has definitely given some amazing resources to you all today. So I will be including those in the show notes. And we'll mention a little bit more about them a bit further along. But Travis, kind of shifting a little bit here. I want to hear about what exactly that you're working on, that you can talk about. That's really getting you excited.

Yeah, absolutely. So we are gearing up for that big CCBHC push like, you know, at my work, which is pretty much the predominant you know, task on hand which I know we kind of dived into that as well. You know, but in my spare time I do enjoy making recently I've been trying to program better on C sharp and learning unity software. And so hopefully in the in the future, you can play some very chill indie games for me. So I'm excited about those projects as well. You know, I'm saying so, but there's a lot of

Virtual High five for that. Because if anyone is listening, another job security is learning unity. Because XR development is not going away. And the metaverse is going to be a $30 billion industry by 2020 2025.

Isn't that wild? Yes. And Unity Technologies will be at the forefront of that right? 100%. Yep. But

Python, your knowledge of Python comes in handy for that, too, I'm sure.

Oh, yeah, absolutely. That means a lot of unity programming isn't C sharp. But I mean, Python is like that language of the future that a lot of companies are placing really, really big bets on right now. So going all in on pythons definitely never a bad choice, especially in this climate for sure. There has been a lot of really cool innovations, though. And date of is this year that are like talk about?

Yeah, what are your favorites? Tell us your favorites.

So there is this, this gentleman named krill Benzie. And he's going to have a link in the PDF that I give to Ashley and everyone who's listened to the podcast, go check him out. He has a YouTube channel as well. He's on LinkedIn. But he's a data artist and also an AI researcher. Isn't that cool? Yeah. And so obviously, dealing with really complex, probably big data, and really complex algorithms and big data sets. And he's able to take some of that data and pipe it through certain software's and some of these are emerging tech, that are generating super crazy, beautiful data, our immune tokens, jaw dropping stunning, gorgeous pieces of work. And it's so cool to see how AI data, you know, data professionals are starting to create really impressive works of art through data. And it's fantastic. And, you know, we kind of talked about, you know, data is beautiful, the subreddit earlier where it's a great place to get some inspiration and see some cool stuff. But really awesome to see. These generate, you know, AI tools are generating stunning artworks that articulate and decipher, you know, arrays of tones and dots and shapes that are kind of like mapped according to the nature of that data set. And so the artworks are come out really hypnotic. And it's kind of proving that algorithms have a soul.

That's true. That's true. My I can attest, my husband has been playing with them for quite quite quite some time. I'll hear laughs every now and then, like 2am. What are you making? But you jogged my memory of something. And I want to ask you, if you saw it, it was an art installation at 21 C museum hotels. And I took a picture of it because it was a physical, mixed media, data visualization art piece. And what it was was like a box that was attached to a wall. And what they did is they took, like, led fiber optic cables, and put it on the inside. And then they piped in certain pieces of data through it as the data was coming through as represented in changes. So as Yeah, so basically, you would watch the piece of artwork, and it would change colors. Oh, sounds kind of a shame. Yeah, it was wild.

So it was like, you're seeing fiber optic cables, like transmitting data,

essentially. Yeah. So they were they were doing it by like color visualization, which they were layering together made it look like the data was traveling. It was fabulous. I'll have to send you a picture. I was just curious if you happen to see that when he was in town.

I'm not sure if I did. But I've been to the museum. Lovely place. Everyone should go check it out if you're local. But I don't know if I saw that exhibit in particular. So I'd love to see that material if you could afford it over.

For sure for sure. Well, lastly, before we kind of wrap today, I feel like we should do another podcast episode to talk about this. Maybe I'll do a bit of a mini minisode. But Travis, can you tell us what kind of resources would you have for those listening, that want to learn more about data visualization?

Yeah, absolutely. Check out coffee and code for the resource. They'll have all the goodies. I compiled a PDF for you browse through and it's got some of my favorite tools, some really cool data art tools as well and they're tools I use on the daily but you also are going to find and this is probably something I would recommend everyone to do. They're just to brighten up their day with a little bit more beautiful data is go to tableaus public page public.tableau.com And subscribe to visit the day, every day, you'll get a email sent to your inbox with really cool visualization that a data is designer made on Tableau and shared. And you just find some really super interesting stuff of people combining the program of Tableau with graphic design. And with data, like at least, I would say, at least three to four different software's go into making each one of these visualizations, minimum to be likely. But underneath that inbox, you're gonna, or underneath that PDF, you're gonna see an inbox inspiration with some of my favorite date of is and data related subscriptions to newsletters, so you just go through that list and subscribe to like eight or 10 different visualization and data, newsletters, and you're gonna have your finger on the pulse, and know exactly what's happening in the community and in the industry at any time. I did also include a couple of my favorite authors for books, and there's visualizations as well, a lot of female data visualization. Data professionals are on there, and they're just killing it. I know I mentioned krill earlier. But pretty much everyone else on the list is female, I think there's some really talented ladies out there in the data vis scene. Also a whole bunch of links to how to get involved. If you are a data professional and how to use your skills for good how to donate maybe some of your databases or programming or just you know your IT or, you know, tech skills to organizations, you're also going to find a couple of links on competitions to stay competitive and stay sharp on your data skills from clean data, to visualizing it and remaking really bad horrible visualizations into good ones. So there's all types of things in there to just find community. And to brush up on skills or to be inspired and just a lot of different rabbit holes, you can go down with this resource guide that I'm going to give to actually,

I love a good rabbit hole. And I'm sure listeners will as well. Thank you so much for putting that together.

It was my pleasure. And I really want to say thank you for having me on the show and really appreciate your time. And let me speak to your audience here on coffee and code. Oh,

Travis, thank you. I'm just so I'm so grateful that our paths have crossed and I continuously learn something new from you. I feel like each week I follow you on Instagram and for everyone. I'll put he'll put Travis's Insta handle in there so you can follow him as well. But yeah, thank you for everything that you do. Thank you for being a student of life and your lifelong learners. And for cultivating that knowledge but also showing and demonstrating that anyone can own their career path if they want to. They've got the keys to it. So thank you for all that you do. And thanks for coming on the show and telling us something new.

Absolutely. Thank you for having me and have a great night. Ashley.

Thank you