Here's how you can unleash your creativity in data visualization as an entry-level professional.

A gestão focada em dados é uma estratégia importante para entrega de resultados. A partir do momento que usamos os dados como evidências para desenvolvimento dos times com certeza construiremos análises e entregas efetivas sem gerar informações com base em “achismos”. O básico é essencial para conectarmos as equipes na busca de estratégias com base em dados, mesmo diante da dificuldade de interpretação num primeiro momento é importante o treinar, aprender e reaprender. Com o tempo as conexões se estabelecem e geram insights positivos para aprender com eficiência e eficácia. O líder tem papel decisivo na aprendizagem do básico.

To unleash your creativity in data visualization as an entry-level professional, imagine you're an artist starting out in data visualization. You have different charts, colors, and stories at your disposal. Try new combinations like a painter experimenting with techniques. Your canvas is the data, and your charts are like brushstrokes bringing it to life. Challenge yourself to make complex things clear. Tell stories that grab attention and explain well. Be creative and let your imagination lead.

Creativity comes from within, however, creativity can be learnt by immersing oneself in the creativity of others, checking out what inspired them. One thing is to get colors concept from color palette, another thing is to know how to mix the colors in your report. I would say more practice of thinking and doing would help in having more ideas on visualization creativity. Last thing is every organization has their own color chart and when designing, one shouldn't forget to stick to the brand color and a little bit of spice would appeal the eyes.

Data visualization is an art form, but like any artist, you need a solid foundation before creating masterpieces. Here's your roadmap to kickstart your journey: Chart Type Savvy 📊: Learn when to use different charts. Bar charts excel at comparing categories, while line charts showcase trends over time. Color Theory for Impact 🎨: Colors aren't just decoration. Use color theory to create informative palettes, like blues for stability and greens for growth. Pro Layout Skills 🖼️: Master the art of positioning charts, titles, and legends for a clear visual experience. By mastering these concepts, you'll transform raw data into impactful narratives that resonate with your audience. Dive in and unleash the power of data visualization!

The important thing to remember in data reporting is your audience. Always ask the question what do they want to know, what level of information is required: High level, detailed transactional level etc. The second most important thing is to keep the reporting simple. Do not fall in the trap of too many funky graphs or tables. Sometimes less is more. Senior execs have limited time to digest information and therefore simplicity of message pitched at the right level is key to effective reporting

As an entry-level professional, unleash your creativity in data visualization by mastering one tool instead of being minimally effective in multiple tools. By focusing on a single tool, you can become highly skilled in its nuances, enabling you to create more sophisticated and impactful visualizations. Deep expertise in one tool allows you to fully explore its capabilities, streamline your workflow, and produce high-quality results. This approach not only enhances your creativity but also makes you more efficient and valuable in your role.

As someone just starting out, getting super good at every single data viz tool isn't the main goal. What's most important is really nailing down the core basics and fundamentals of how these tools work. Data analysis is kind of like a never-ending video game we're always leveling up in. We've got to keep upgrading our skills daily because the game never stops evolving and throwing new levels at us. A data analyst can't afford to stop learning and gaining experience. Once we feel solid on the fundamentals, that's when the fun part starts - we can start actually building our own projects and testing out all the custom cool features in tools like Power BI, Tableau, and Excel. I wish you all the best and success folks.

Based on my personal experience, working with different tools provides a broad insight into analyzing and understanding data. Over time, we learn which tools are most suitable based on a project's needs and requirements. Additionally, being in a dynamic environment, leveraging different tools is a great advantage for us.

Absolutely! Playing with data visualization tools is a fantastic way to get hands-on experience and explore the possibilities they offer. Whichever tool you choose to play with, remember to start simple and gradually explore more advanced features as you become more comfortable. Don't hesitate to experiment and have fun with your visualizations

In my idea, analyzing errors, finding the reason and trying to make the reports bette is the best way for learning new tools. Nowadays, we have a wide variety of online information and by a quick search we can learn too many valuable things even about our mistakes which caused error.

One thing I found helpful is keeping a "mistake journal." Documenting errors and their causes helps spot patterns and avoid repeating them. Actually, I disagree with the notion that errors alone refine skills; it's the reflection and corrective action that truly enhance expertise. An example I've seen is how a misplaced legend in a data visualization confused users, prompting a redesign that significantly improved clarity and impact.

Embracing errors is an essential part of the learning process, especially when working with data visualization tools. Current we have wide variety to search which help to decode the error and provide the way to solve that error. Key to fix the error is only the way you search it.

Los errores son parte del proceso creativo. No todas las visualizaciones saldrán perfectas la primera vez, y está bien que así sea. Enfócate en: - Iteración y aprendizaje: Cada error te enseña algo valioso sobre lo que funciona y lo que no. - Análisis Crítico: Reflexiona sobre lo que no salió bien, usa esta información para mejorar tus futuras visualizaciones. La aceptación de los errores fomenta un entorno de aprendizaje continuo, anima la interacción y pone en valor la innovación, lo cual es vital para el crecimiento en cualquier ámbito creativo.

Looking for different samples with the same target of data visualization is one of the helpful methods that I use. This way, I can identify the most important or interesting points in reports, as well as the key points in the same industry or field that need to be presented.

One of the best things to have inspiration is to search for what other people are doing. This lets you have insights on how to display data on your dashboards. One thing I also try to do is to recreate some dashboards and adapt them to my needs because it helps me sharpen my data visualization skills.

Actively seeking inspiration from diverse sources and engaging with the data visualization community, you'll continuously expand your creative horizons and refine your skills as a practitioner.

A good way (meaning from my point of view) is to have a concrete objective, goal. It is very hard to use methods and tools without purposes. Using them to produce a operative and efficient data visualisation leads to challenge our own limits and find the best solution to solve issues (and also prevent the future ones).

Staying inspired through various sources will surely drive creativity, while staying up to date with the latest trends. And as they say practice makes perfect, so practice practice, practice which will broaden and sharpen your data visualization skills.

Collaborating on team projects allows you to tackle larger and more complex visualization challenges that may be beyond the scope of individual work. By pooling resources, expertise, and creativity, teams can create more comprehensive, impactful, and polished visualizations that address multifaceted data stories and insights

As an entry-level professional, begin by exploring various visualization tools and techniques. Experiment with interactive elements like tooltips, filters, and drill-down to make your visualizations engaging and user-friendly. Remember, your work doesn't have to be overly complex, the goal is to convey effective insights even with simple data. Take time for self-reflection, analyze and critique your work. Seek feedback from peers/mentors on your visualizations, as constructive criticism can help you identify areas for improvement and refine your skills. By following this approach, you'll gradually build your expertise in data visualization and develop the skills to create impactful visualizations. These are the steps I used as a beginner.

Além dos pontos mencionados, é importante manter-se atualizado com as últimas tendências e práticas recomendadas em visualização de dados. Participar de conferências, webinars e workshops pode fornecer insights valiosos e novas ideias. Estabelecer uma rotina de aprendizado contínuo garante que você esteja sempre melhorando suas habilidades e se mantendo relevante na área.

Remember that each visualization has a purpose, so always have in mind who will use it and for what. Ask your team, involve the users and ask them what they want, need and expect. After you design the visualization, validate if users find it easy to use and understand. You can learn about design principles and user experience to make your visualizations easier to use and understand.

La visualización de datos es un campo donde la técnica se encuentra con el arte. Como principiante, permite que tu curiosidad y creatividad te guíen. Explora, experimenta y no tengas miedo de desafiar las normas, el error es parte del camino hacia tu objetivo. Cada gráfico que crees es una oportunidad para aprender y mejorar.

The art of data visualisation transforms raw data into compelling visual formats like charts and graphs, making it a crucial skill for aspiring data analysts, especially career changers or recent graduates. It enables analysts to uncover and communicate insights effectively, simplifying complex data and aiding better decision-making by highlighting trends and patterns. Mastering tools like Tableau and Excel offers a competitive edge, showcasing the ability to translate data into actionable business intelligence. Strong visualisation skills also enhance storytelling with data, bridging the gap between data and strategic decision-making, making it indispensable in the data-driven industry.