89.6K
DEdata 🤝 art @the.pudding
instead of just throwing numbers at you, it makes you *feel* the data. this is data storytelling at its finest
#datavisualization #storytelling #designskills #visualization #rabbithole #data
@designteamofone
#D3.js Data Visualization Examples
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28トレンドリール
(12)
89.5K
OKComment DATA to get this FREE AI Data visualisation tool.
There’s a new AI tool in town, and it’s completely free. Meet Julius AI, a data visualization tool that’s surprisingly powerful.
How powerful? It can handle huge amounts of data without breaking a sweat. No glitches. No hallucinations. I’ve tested it myself. For example, I gave it a simple CSV file and a short prompt. In seconds, it created an interactive map showing the happiness index across countries. Effortless.
The best part? You don’t need to be a tech wizard to use it. It’s as simple as giving directions to a friend. Just upload your data, type in what you want, and watch it work its magic. Bar charts, heat maps, scatter plots—you name it.
Think about how much time this could save. Hours spent fiddling with Excel or learning complex tools? Gone. Julius AI does the heavy lifting for you.
It’s like having a personal assistant for your data—one that doesn’t complain or need coffee breaks. Just results. Fast and accurate.
#aitools #juliusai #aidata #datavisualization #datavisualizationtools #ainews #aicommunity #aiindia #aigraphs #aidataanalytics #dataanalytics
@okaashish
187.7K
JEComment “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!
@jessramosdata
1.3M
CHJust 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
@chartosaur
16.8K
FEData 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.
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#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
@federicafragapane
22.2K
SOTop 3 data visualization packages 🤔
1️⃣ https://matplotlib.org
2️⃣ https://seaborn.pydata.org
3️⃣ https://ggplot2.tidyverse.org
Being able to visualize and tell the story is a key component of being a data scientist. With these 3 packages you can pretty much create any plot you can think of! Not only that, but these packages aren’t actually that bad to learn!
There are many other packages out there for data visualization as well, but these are my 3 favorites!
Drop a follow for more coding tips 🎯
#code #coding #datascience #tech #python
@softwarewithnick
627.3K
FEDesigning data visualizations
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#datavisualizations #editorialdesign #dataviz #infographic #graphicdesign #editorial #visualdesign #typography #graphicinspiration #design #infographie #datajournalism #illustrations #behance #designinspiration #digitaldesign #datavis #diagram #ddj #illustration #datavisualization #adobeillustrator #madewithillustrator
@federicafragapane
66.5K
X_Add ghis trick to your next presentation 👌.
#powerpoint #presentation #data #datavisualizations
@x_cimon_
1.5M
VOComment "Link" to get the links!
You Will Never Struggle With Data Structures & Algorithms Again
🔗 Explore these free visualization tools:
1️⃣ visualgo.net
2️⃣ cs.usfca.edu
3️⃣ csvistool.com
Stop memorizing code blindly. See every algorithm in action — arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and more. These interactive platforms show step-by-step exactly how data flows and how operations work.
Whether you’re preparing for coding interviews, studying computer science, or just starting with DSA, this is the fastest way to master the fundamentals.
Save this, share it, and turn complex algorithms into simple visuals you’ll never forget.
@volkan.js
112.5K
RECreate aesthetic data visualizations
Bar charts, heatmaps, many more all in minutes.
Perfect for reports, projects, dashboards, and content.
→ go here flourish.studio
Follow @reverelia for more data tools, productivity hacks, and useful websites.
What makes data less boring?
@reverelia
50.6K
DHVisualize your data in 4 simple steps using Power BI 🚀
1️⃣ Get Data – connect and import data from multiple sources
2️⃣ Data Modeling – build relationships so your data works together
3️⃣ Data Transformation – clean and shape your data for analysis
4️⃣ Visualization – turn insights into interactive dashboards
Save this for later, share with your team, and follow for more Power BI tips! 📊🔥
#PowerBI #DataAnalytics #BusinessIntelligence
@dhanyindraswara
78.6K
THData 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
@thephdstudent
✨ #D3.js Data Visualization Examples発見ガイド
Instagramには#D3.js Data Visualization Examplesの下にthousands of件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
#D3.js Data Visualization Examplesは現在、Instagram で最も注目を集めているトレンドの1つです。このカテゴリーにはthousands of以上の投稿があり、@volkan.js, @chartosaur and @federicafragapaneのようなクリエイターがバイラルコンテンツでリードしています。Pictameでこれらの人気動画を匿名で閲覧できます。
#D3.js Data Visualization Examplesで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @volkan.js, @chartosaur, @federicafragapaneなどがコミュニティをリード
#D3.js Data Visualization Examplesについてのよくある質問
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12リールの分析
💡 トップ投稿は平均898.1K回の再生（平均の2.6倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
🔥 #D3.js Data Visualization Examplesは高いエンゲージメント可能性を示す - ピーク時に戦略的に投稿
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長612文字
📹 #D3.js Data Visualization Examplesには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
✨ 多くの認証済みクリエイターが活動中（67%） - コンテンツスタイルを研究
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