#Bianca Data Visualization Techniques

Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude! Here are the 3 types of projects you need: ↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables ↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one. ↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it Save this video for later + send to a data friend!

📊 Data Visualization Cheat Sheet | Complete Guide to Charts & Graphs In this guide, you’ll learn about: ✔️ Gantt Chart – Track project timelines and scheduling ✔️ Bar Chart – Compare categories easily ✔️ Highlight Table – Identify highs and lows quickly ✔️ Bubble Chart – Compare multiple variables visually ✔️ Line Chart – Show trends over time ✔️ Tree Map – Display hierarchical data ✔️ Scatter Plot – Find relationships and correlations ✔️ Pie Chart – Show proportions and percentages ✔️ Box & Whisker Plot – Understand distribution and outliers ✔️ Maps – Visualize geographic data ✔️ Waterfall Chart – Track cumulative values ✔️ Bullet Chart – Measure performance vs targets This cheat sheet is perfect for: 🎯 Data Analysts 🎯 Business Analysts 🎯 Excel & Power BI Users 🎯 Tableau Beginners 🎯 Students & Professionals #DataVisualization #DataAnalytics #ChartsAndGraphs #BusinessAnalytics #ExcelTips PowerBI Tableau DataAnalyst DashboardDesign AnalyticsLearning ExcelBooster

Just because you can make your chart look unique, doesn't mean you should. A good data visualization is about clarity, not just creativity. When every element - color, font, and shape - works against readability, you're not improving the story, you're burying it. Radial bar charts, for example, may look visually compelling, but they aren't always the best tool. While they do okay in displaying cyclical data, such as seasonal trends or annual sales patterns, their complexity can make your point harder to understand in other contexts. #Charts #Presentation #Viz #PPT #Excel #Graph #Consulting #Mckinsey #Bain #BCG #Vizualization #Slides #Chart #Graphs #Deck #GoogleSlides #StackedBarChart #BarChart #Education #Data #Anchoring #Likert #RadialChart

✦ Visualize Data like a Biz Analyst (Lesson 5 of 20) When I became a Biz Analyst at Spotify, these are the 3 Data Visualization rules I learned: 01 | The Call-out Box (0:18) – Put the insight directly on the graph so it tells the story fast. 02 | Color Focus (0:21) – Use gray for historical data, and bright/bold color for current data to help people focus on the ‘now’. 03 | Structured Titling (0:26) – Name your chart title [Y-Axis] by [X-Axis] so it’s easy to understand ↳ Lesson 5: Lean into your differences! Extroverts talk to think, but introverts think to talk. If you’re quiet, show them your perspective instead! 💾 SAVE this for your presentation, or SHARE it for your introverted friends! ___________ ✦ 商業分析師怎麼做圖? (第 5 課) 剛成為 Spotify 的商業分析師時， 我發現好的簡報都有這 3 個「數據視覺化」規則： 01 | 提示框 (0:18) – 直接在圖表上標註洞察，讓圖表自己快速說故事。 02 | 顏色運用 (0:21) – 用灰色淡化過去的數據，並用鮮艷/對比色標示現在的數據，引導觀眾專注於「當下」。 03 | 標題結構 (0:26) – 用 「Y 軸 by X 軸」 來命名圖表標題，讓內容一目了然（尤其當一份簡報有超過 10 張圖表時）。 ↳ 第 5 課：擁抱你的「特質優勢」！ E 人擅長邊說邊思考， I 人善於思考完才開口。 如果你也是 I 人，不用強迫自己變外向， 而是展現你獨特的「洞察力」！ 💾 儲存這篇下次簡報用，或分享給身邊的I人同事！ #businessanalyst #workingintech #datavisualization #womenintech

Instead Became “The” Data Analyst Save this Reel before you forget ✅ Learn complete Data Analytics from right guide So here is a complete plan to learn Data Analytics and find a job as a fresher 1️⃣ Get Familiar with Basic Math : Understand concepts like statistics, probability, and algebra. 2️⃣ Learn Excel :Start with basic functions and formulas, then move on to pivot tables and data visualization. 3️⃣ Master SQL : Learn how to extract, manipulate, and analyze data using SQL queries. 4️⃣ Explore Data Visualization Tools : Get hands-on experience with tools like Tableau or Power BI for creating insightful visualizations. 5️⃣ Understand Data Cleaning : Learn techniques to clean and preprocess data, ensuring its quality and accuracy. 6️⃣ Dive into Python: Learn Python programming language and libraries like Pandas, NumPy, and Matplotlib for data analysis and visualization. 7️⃣ Practice with Real Data: Work on projects using real datasets to gain practical experience and insights. 8️⃣ Learn Machine Learning Basics : Understand the fundamentals of machine learning algorithms and how to apply them to analyze data. 9️⃣ Stay Updated : Keep learning new techniques, tools, and technologies in the field of data analytics through online courses, books, and communities. 🔟 Build a Portfolio : Showcase your skills and projects through a portfolio to demonstrate your expertise to potential employers or clients. For free resources comment “Resources “ and and I will share the link with you Also let me know in comment box if you want to know how to get job as a data analyst with no experience [data analyst, jobs, freshers, roadmap]

Data visualisation book recommendation for anyone who wants to turn data into interactive stories, not just static charts 📊🌍💻 ✨ Teaches you how to move from spreadsheets to web-based visualisations ✨ Covers tools like Google Sheets, Datawrapper, Tableau Public, Chart.js & Leaflet ✨ Perfect if you want to communicate data clearly — even without heavy coding ✨Open-source so freely available online 📌 Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code — Jack Dougherty & Ilya Ilyankou 💭 Summary: This book shows you how to clean, analyse, and visualise data using practical tools — starting with spreadsheets and moving into customisable web-based charts and maps. It’s especially useful if you want to share your work online and make your data interactive, not just informative. If you’re learning data science, bioinformatics, or just want to present your work better, this is a great place to start 🤍 📌 Save this for later — I’ll be sharing more recommendations soon. #womeninstem #datavisualization #datascience #bioinformatics #tech

Want to present data like a pro? Here are 3 tricks (plus a bonus) that make your slides clear, confident, and impossible to ignore: 1️⃣ Write headlines, not titles. Headlines tell the story, not just the topic. 2️⃣ Use reference lines. Add benchmarks or targets so your audience instantly understands context and comparison. 3️⃣ Use color with purpose. Highlight what matters most so your audience’s eyes go exactly where you want them to. ✨ Bonus tip: Add annotations. Label the “why” behind the numbers, like “Q4 spike due to holiday promo.” It keeps people focused on the insight, not just the chart. Great presenters don’t just show data, they explain it visually. 🚨FYI: charts with reference lines can be tricky to create Comment the word DATA and I’ll send you my Google Sheets template! #datavisualization #presentationskills #presentationdesign #communicationskills #careeradvice

Repost to share with friends ♻️ Here’s how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it down to 3 minutes because instagram. One part that got cut off was the job market. Should I post a part 2? what are other skills that would you add to the list?? #dataanalysis #dataanalyst #sql #python

Data visualization design. The details are from a data visualization on the +500 documents included in the @unesco's Memory of the World Register. Designed for @la_lettura. • • • • • • • #datavisualizations #editorialdesign #dataviz #infographic #graphicdesign #editorial #visualdesign #typography #graphicinspiration #design #infographie #datajournalism #illustrations #behance #designinspiration #digitaldesign #datavis #diagram #ddj #illustration #datavisualization #adobeillustrator #unesco #adobeillustrator @adobedesign

Build your first AI-powered data analysis project with me! I used @repl.it for this one! #dataanalyst #dataanalysis #dataanalytics #replit #ai

Your data is boring? Let’s make it look like it belongs in a @netflix_in documentary! 🎬📊 Here are 3 data visualization tools you should know! 🚀 Tableau Public - The AI magic wand for interactive dashboards. Datawrapper - Create sleek charts and maps with ZERO coding. Infogram - Want stunning infographics in minutes? This tool has you covered. Stop showing ugly spreadsheets! Try these and let your data shine. 💫 Comment ‘Visual’ below and I’ll share the link to these tools. 💻👇 Don’t forget to follow @office_masters.in for more Excel with AI hacks! 💡 [data visualization, Tableau Public, Datawrapper, Infogram, AI tools, interactive dashboards, charts and maps, infographics, data transformation, Excel hacks] #DataVisualization #AItools #TableauPublic #Datawrapper #Infogram #DataScience #ExcelHacks #DataTransformation #AIinExcel #BusinessIntelligence

Dive into the captivating world of data visualization with ‘Seeing Theory.’ 🌐 Explore the art and science of visualizing data, making numbers come alive! 📈✨ Follow @thedataevangelist for more such content #dataanalyst #datascience #datavisualization #visualizations