#datavisualization

[anasabdin]

If you were an owner, CEO, senior manager, or any stakeholder, would you find this #pixelart chart presented by your data analyst useful and engaging?

[vizcart]

I love this map, and this atlas too. I think is one of the best result we achieved with the shaded relief maps, and I hope to find more time to find vintage maps on Mediterranean sea and coutries.

If you like our work, want to see our daily updates (or want to say hello to our studio), consider to follow our Instagram or Twitter account. Otherwise if are interested in our prints or have a custom request check our shop.

[missfisherindata]

I finally had some free time due to ✨carnival✨ and deployed the Miss Fisher visualization site that I had only posted screenshots of so you guys can play around with them. I really enjoy seeing them in motion and I hope that you do too! 😊

Some tips of how to use the site:

On the left, select the category of visualizations that you would like to see (the home page is pretty useless as of now hehe)

The legend of each visualization also serves as a filter, so if you click on the box that shows the color of each item you can deselect it from the visualization so that it's easier to see other information inside the graph.

Please open on desktop for a better experience!

There are some new visualizations there that I never posted before, so please check it out! I would love your feedback!

[what-about-zaladane]

Entropy, Intuition, and The Art & Science of Shuffling A Tarot Deck (Or: How Many Times Should You Shuffle It, Mathematically?)

This post is specifically about riffle shuffling -- not overhand or pile shuffles.

tl;dr: If you care about randomness and making sure all the cards have a fair chance of coming up, 9-10 times.

But how much should you really care about randomness?

Let's back up.

Mathematicians Gilbert, Shannon and Reed developed a model of randomness for riffle shuffling (i.e. the snappy type of shuffling you do with a playing card deck). They found that the first few shuffles of a deck of playing cards only rearrange the order of the cards a little…but by the 7th shuffle, the deck's order is almost indistinguishable from random.

You might ask -- but a tarot deck has 26 more cards! Does that matter?

Yes, it does.

Each added card increases the permutation space of the deck. You go from 52! (a number with 68 digits) to 78! (a number with ~115 digits). The number of possible orderings explodes -- as does the time and effort it takes to "mix" those orderings.

The Math

If you do a perfect riffle shuffle, the deck becomes increasingly mixed. The GSR Theorem uses total variation distance from uniform randomness to measure just how mixed it is. Total Variation Distance is a number between 0 and 1 that tells you how different two probability distributions are. The two distributions we are comparing are:

The probability distribution of the deck after n shuffles

A perfectly random deck, where every single card has an equal chance of being in every position.

What do different values of TVD mean?

If TVD = 1 -> the two distributions are completely different

If TVD = 0 -> the two distributions are essentially the same

Imagine you’re drawing the top card of a tarot deck after shuffling.

If the deck isn’t well shuffled yet, certain cards are more likely to be on top.

If the deck is perfectly shuffled, every card has exactly a 1 in 78 chance to show up.

Total Variation Distance measures:

"How far are we from that perfect 1-in-78-for-every-card situation?"

TVD is basically asking: how unfair is this shuffle still?

If you shuffle enough times, you'll get close to 0.

TVD Convergence Chart

Here’s what the convergence of TVD looks like for 52- and 78-card decks:

You can see that the first few shuffles don't bring us much closer to a totally "fair" deck -- but once we hit 4 or 5 shuffles, we start to converge to 0 rather quickly!

Back to the Shuffling

GSR modeled the distribution of permutations using the random riffle shuffle model, which assumes:

You cut the deck into two halves with a binomial split

You then interleave the cards in all possible ways

(Btw: This gives you a Markov chain on the symmetric group S_n, where n is the number of cards. If you just flinched at that sentence -- don't worry about this! Forget you read it! It doesn't come up again in the post.)

What about a 78-card Deck?

According to Bayer & Diaconis (1992) in “Trailing the Dovetail Shuffle to its Lair��:

The number of riffle shuffles needed to mix a deck of n cards is approximately:

So 9 to 10 riffle shuffles are needed to randomize a 78-card tarot deck.

Okay But…How Important is Randomness in Tarot, Anyways?

Honestly, it depends on you.

If you believe in pure chance, then randomness is the point. You want the cards to speak without being nudged by muscle memory or old orderings.

But if you believe in "divine" order, then even imperfect shuffles are sacred. Every shuffle is a divination. Every card is a mirror.

So shuffle 3 times. Shuffle 9. Shuffle until the deck feels right.

But just keep in mind: mathematically, 10 riffle shuffles are optimal if you want to approach full chaos. And chaos is very good at telling the truth.

What Do I Do Personally?

You'll notice that the graph of TVD converges pretty fast after about 6-7 shuffles. Personally, when I'm feeling the need to completely reset the deck, I shuffle 10 times. Any other time, I shuffle 8. I'd love to tell you that there's some fantastic reason for this, but it's mostly because I'm Chinese-American and I'd probably do everything eight times if I could. :D

[oneechanblog]

分散型データサイエンティストの事例 | Oneechanblog Podcast

[atloteam]

Döntőbe jutott a világ legfontosabb információdizájn-versenyén, az Information is Beautiful Awardson az "És megremeg a Föld" című interaktív munkánk a "Humanitarian" kategóriában. A döntőben többek között a Reuters, az USA Today, a Texty.org, a Világbank, a Voilá és a Graphicacy dizájnstúdió munkáival versenyzünk az arany, az ezüst és bronz elismerésért. https://atlo.team/wp-content/uploads/2023/02/foldrengesatlasz.html https://www.informationisbeautifulawards.com/showcase?acategory=humanitarian&action=index&award=2023&controller=showcase&page=1&pcategory=short-list&type=awards

[fraoula1]

𝐓𝐨𝐩 5 𝐅𝐮𝐭𝐮𝐫𝐢𝐬𝐭𝐢𝐜 𝐒𝐢𝐝𝐞 𝐇𝐮𝐬𝐭𝐥𝐞𝐬 𝐟𝐨𝐫 𝐓𝐞𝐜𝐡𝐢𝐞𝐬 𝐢𝐧 2025

In today’s fast-paced tech world, side hustles can be a fantastic way for professionals to boost their skills and earn extra income. With advancements in artificial intelligence, remote working, and a growing need for tech solutions, 2025 is filled with exciting possibilities for tech enthusiasts.

This post dives into five promising side hustles, supported by data and trends. Techies can capitalize on their expertise and thrive in these areas.

1. Remote IT Support

With businesses shifting to hybrid work models, the demand for remote IT support has skyrocketed. According to a report from the International Data Corporation (IDC), the global IT services market is set to hit $1 trillion by 2025, hinting at tremendous opportunities in this field.

Techies with skills in troubleshooting can offer services to both businesses and individuals. The TechServe Alliance notes that the demand for IT support roles surged over 10% last year, making this a vibrant market.

Starting a remote IT support hustle is easy. Freelancing platforms like Upwork and Fiverr allow techies to find clients quickly. Depending on the complexity of the service, they can earn between $25 and $150 per hour while enjoying the flexibility to work on their own schedule.

2. Cybersecurity Consulting

As cyber threats evolve, companies increasingly prioritize cybersecurity. A report from Cybersecurity Ventures predicts that costs from cybercrime could reach $10.5 trillion annually by 2025. This statistic underscores the growing need for cybersecurity professionals.

Techies with experience in cybersecurity can offer their services to businesses looking to protect sensitive data. A survey by Proofpoint found that 55% of organizations fended off phishing attacks, indicating a strong demand for seasoned professionals.

In this consulting niche, technology experts can earn between $100 and $500 per hour, based on their experience and project complexity. Earning certifications, like the Certified Information Systems Security Professional (CISSP), can significantly boost credibility and income potential.

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3. Software Development and Mobile App Creation

As the world becomes more mobile-first, demand for software and app development is expected to rise. Statista reports that the global app economy may generate over $407.31 billion in revenue by 2026, presenting a lucrative chance for techies skilled in coding.

Developers can enter this space through freelancing or by launching their own projects. Tools like React Native and Flutter allow for efficient cross-platform application development, saving both time and resources.

Freelancers can charge between $50 and $200 per hour based on expertise and project scope. For those willing to turn a side hustle into a full business, the income from app sales and in-app purchases can be enormous.

4. Data Analysis and Visualization

Data remains one of the most valuable assets today, with analytics aiding decision-making. The global data analytics market might reach $300 billion by 2026, creating fertile ground for techies skilled in data analysis.

Freelance data analysts can help companies extract valuable insights from their data. Utilizing tools like Tableau, Power BI, and R can help create compelling visualizations, making their services even more attractive.

Data analysts typically charge between $40 and $150 per hour depending on analysis complexity. Mastering data storytelling enables techies to transform raw data into practical insights, positioning themselves as key assets for businesses.

5. E-Learning Course Creation

The rapid growth of online learning has made creating and selling e-learning courses a sought-after side hustle. The global e-learning market is anticipated to reach $375 billion by 2026, driven by rising demand for skill development.

Techies can harness their knowledge to develop courses on platforms like Udemy or Teachable. Topics can range from programming languages to software tools and emerging technologies, such as AI and machine learning. Statista reported that 42% of online course creators are tech professionals, showing the market's strong bias toward technical education.

Successful courses can generate substantial passive income, sometimes yielding thousands of dollars. Since course creation has low overhead, techies can concentrate on producing high-quality content and devising effective marketing strategies.

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Unlocking New Opportunities in Tech

The side hustles mentioned offer exciting paths for tech-savvy individuals aiming to enhance their skills and income in 2025.

As technology keeps evolving, the need for skilled professionals in IT support, cybersecurity, software development, data analysis, and e-learning will continue to grow.

By leveraging their expertise and using the right platforms, techies can build rewarding side hustles that provide financial perks and opportunities for personal and career growth.

Whether solving challenging problems for clients, creating innovative apps, or imparting knowledge, the potential for side hustles in the tech sector is vast. The key is to find a niche that aligns with personal interests, engage in continuous learning, and embrace the entrepreneurial spirit in this dynamic environment.

In a landscape where technology is at the center of everyday life, techies hold a unique position to lead future innovations. Engaging in these side hustles will not only keep them relevant but also equip them for the challenges and opportunities that lie ahead.

[ankitparmar09]

Is your billing dashboard secretly costing you?

A billing dashboard should offer effortless access to calls, usage, and charges. We transformed our client's Open-Source VoIP Billing Dashboard. Here’s how. 1. Confusing Layout ❌ Data hard to scan. ✔ Clear, structured data for better readability. 2. Weak Visuals ❌ Slowed decision-making. ✔ Enhanced data visualization with trend charts. 3. Limited Insights ❌ Users had to dig for key details. ✔ Custom filters & date range options for deeper insights. 4. Outdated UI ❌ Created unnecessary friction. ✔ Modern UI & improved hierarchy for easy scanning. A great UX isn’t just about looking good. It’s about working smarter. What’s the biggest UI/UX issue you’ve faced with dashboards? Let’s discuss below!

[laramzp]

The system is showing its seams (2023)

[anandshivam2411]

What Drives Data Analyst Salaries? An In-Depth Analysis

Educational Background: Higher degrees (master's or Ph.D.) often lead to better salaries than a bachelor’s.

Experience Level: More years of experience typically result in higher compensation.

Industry: Analysts in finance, healthcare, and technology generally earn more than those in retail or education.

Location: Salaries vary by geographic area, with major cities typically offering higher pay.

Skills and Specializations: Proficiency in data visualization tools (like Tableau or Power BI), programming languages (Python, R), and machine learning boosts earning potential.

Certifications: Relevant certifications, including PMP certification and other project management certifications, can enhance salaries.

Company Size: Larger firms often provide better salaries and benefits.

Market Demand: Increased demand for data analysts typically drives up salaries.

In conclusion, several key factors influence data analyst salaries, including educational background, experience level, industry, geographic location, skills and specializations, certifications, company size, and market demand. By understanding these elements, aspiring data analysts can strategically focus on enhancing their qualifications and expertise to improve their earning potential.

[everythingaboutbiotech]

Do you like my after-version of this graphics?

I came across this graphics in Nature Chemical Biology Journal.

I improved this graphics through following rules: ⭐Clarify the message ⭐Restructure the composition ⭐Simplify the components ⭐Create intentional color palettes ⭐Refine the text style

[generative-turbo-automata]

[vizcart]

Shaded relief of the Europe. This one will be changed soon with a shaped version where borders will be shown.

If you like our work, want to see our daily updates (or want to say hello to our studio), consider to follow our Instagram or Twitter account. Otherwise if are interested in our prints or have a custom request check our shop.

[outsourcingwise]

Unleashing the Power of Data Analytics & Reporting: A Guide to Enhanced Decision-Making

In today's fast-paced business landscape, data reigns supreme. Every click, purchase, and interaction generate a wealth of valuable information waiting to be analysed and utilized. The ability to harness this data effectively through analytics and reporting can make all the difference between thriving and merely surviving in the competitive marketplace.

The Role of Data Analytics & Reporting

Data analytics involves examining raw data to draw conclusions and insights, while reporting involves presenting these findings in a structured format to facilitate decision-making. Together, they provide businesses with the necessary tools to understand customer behaviour, optimize processes, and drive strategic initiatives.

Importance of Data Analytics:

1. Informed Decision-Making: By analysing past trends and patterns, businesses can make data-driven decisions rather than relying on intuition or guesswork.

2. Competitive Advantage: Companies that leverage data analytics gain a competitive edge by identifying opportunities for growth, improving efficiency, and mitigating risks.

3. Enhanced Customer Experience: Understanding customer preferences and behavior enables personalized marketing efforts, leading to higher customer satisfaction and loyalty.

Significance of Reporting:

1. Communication of Insights: Reports serve as a means to communicate key findings, trends, and metrics to stakeholders, facilitating understanding and alignment across the organization.

2. Performance Tracking: Regular reporting allows businesses to monitor performance against goals and objectives, enabling timely adjustments and course corrections.

3. Compliance and Accountability: Reporting plays a crucial role in meeting regulatory requirements, ensuring transparency, and holding individuals and departments accountable for their actions.

Leveraging Outsourcingwise Consulting's Training for Data Analytics & Reporting

In the realm of data analytics and reporting, staying abreast of the latest tools, techniques, and best practices is essential for success. This is where Outsourcingwise Consulting's training programs come into play, offering comprehensive courses designed to equip professionals with the skills needed to excel in this field.

Cutting-Edge Curriculum:

Outsourcingwise Consulting's training curriculum covers a wide range of topics, including:

- Data Collection and Preparation: Understanding data sources, cleaning, and transforming raw data into usable formats.

- Statistical Analysis: Applying statistical methods to uncover patterns, correlations, and trends within the data.

- Data Visualization: Communicating insights effectively through charts, graphs, and dashboards.

- Reporting Tools: Utilizing industry-leading reporting tools such as Tableau, Power BI, and Google Data Studio to create compelling reports.

- Advanced Analytics Techniques: Delving into predictive analytics, machine learning, and AI for more sophisticated analysis and forecasting.

Hands-On Learning:

One of the key features of Outsourcingwise Consulting's training programs is their emphasis on practical, hands-on learning. Participants could work on real-world projects, applying their newly acquired skills to solve actual business problems. This experiential learning approach ensures that participants are not just theory-smart but also equipped with the practical know-how to tackle challenges in the workplace.

Expert Guidance:

The trainers at Outsourcingwise Consulting are seasoned professionals with extensive experience in the field of data analytics and reporting. They bring their wealth of knowledge and expertise to the training sessions, providing valuable insights, tips, and guidance to participants. Whether you're a beginner looking to build a solid foundation or an experienced professional seeking to deepen your skills, the trainers at Outsourcingwise Consulting are committed to helping you achieve your goals.

Career Advancement Opportunities:

In today's job market, proficiency in data analytics and reporting is in high demand across industries. By completing Outsourcingwise Consulting's training programs, participants not only enhance their skill set but also position themselves for career advancement opportunities. Whether it's securing a promotion within their current organization or transitioning to a new role in a different industry, the skills acquired through Outsourcingwise Consulting's training can open doors to exciting career prospects.

Conclusion

In conclusion, data analytics and reporting play a pivotal role in driving informed decision-making, enhancing organizational performance, and gaining a competitive edge in the marketplace. By leveraging Outsourcingwise Consulting's training programs, professionals can acquire the skills and knowledge needed to excel in this dynamic and rapidly evolving field. Whether you're a business leader seeking to unlock the full potential of your data or an aspiring data analyst looking to kick-start your career, Outsourcingwise Consulting offers the expertise and resources to help you succeed. Embrace the power of data analytics and reporting today, and chart a course towards a brighter, more data-driven future.

[iabac5115]

Certified Data Scientist: Mastering the Journey with IABAC

By becoming a certified data scientist, you open yourself up to a world of possibilities in the ever-changing world of technology. The International Association of Business Analytics Certifications (IABAC) plays a crucial role in this field by providing a recognized platform for professionals to validate their skills.

At the heart of data science is extracting valuable insights from huge amounts of data. Being certified by IABAC not only showcases your proficiency in handling complex data but also demonstrates your dedication to excellence. The certification process involves rigorous training and evaluation, ensuring that you are well-prepared to tackle practical challenges.

The Certified Business Analytics credential is a  recognized achievement that covers the complexities of both data science and business analytics. This certification indicates that the holder has a solid grasp of how to use data to drive business growth. It signifies not only technical expertise but also the capability to match data strategies with overall business goals.

The IABAC's Business Analytics Certification is an impressive achievement that highlights the importance of using analytics strategically to guide business choices. Individuals who possess this certification have a unique blend of technical skills and business knowledge, making them extremely valuable to organizations seeking data-oriented solutions.

The journey towards certification starts by building a strong foundation in data science principles. Aspiring candidates explore various topics like statistical analysis, machine learning, and data visualization. What makes IABAC stand out is its focus on practical application. The certification process includes hands-on projects, allowing individuals to apply their knowledge in real-world scenarios.

Certified data scientists who complete their training gain a prestigious credential and become valued members of a global community of experts. At IABAC.org, we offer networking opportunities that allow professionals to connect, collaborate, and stay updated on the latest industry trends.

[excelworld]