What are some interesting datasets?
11 websites to find free, interesting datasets
- FiveThirtyEight.
- BuzzFeed News.
- Kaggle.
- Socrata.
- Awesome-Public-Datasets on Github.
- Google Public Datasets.
- UCI Machine Learning Repository.
- Data.gov.
Where can I get visualization datasets?
Free Public Data Sets for Advanced Users
- Data.world.
- Kaggle.
- FiveThirtyEight.
- Buzzfeed.
- Data.gov.
- Reddit.
How can you make data visualization interesting?
8 Ways to Turn Good Data into Great Visualizations
- Know What You Want to Say.
- Construct a Good Story.
- Design for the Viewer’s Eye.
- Add Color to the Story.
- Don’t Crowd Your Audience.
- Establish Context.
- Combine Text with Tables & Charts.
- Make Your Visual Actionable.
What makes a dataset interesting?
“Fun” datasets concern topics that are of personal interest, and can be used to answer unexpected questions and explore relationships that aren’t immediately intuitive. Perhaps you start with a question or hypothesis, and then find a dataset to prove (or disprove) your theory.
What topics have lots of data?
50 Interesting Data Sets to Find Data You Need
- Business and Employment.
- Crime/Conflict/Drugs.
- Internet.
- Finance.
- Health.
- Entertainment.
- Government.
- Transportation.
Is kaggle beginner friendly?
Fun, beginner-friendly datasets | Data Science and Machine Learning | Kaggle.
Is kaggle safe?
The vast majority of Kaggle datasets are reliable. You can judge how reliable a dataset is by looking at its upvotes or by reviewing the notebooks shared using the dataset.
Is kaggle free?
Kaggle offers a free tool for data science teachers to run academic machine learning competitions.
How do you present data creatively?
Data can be presented in so many different ways, but here are 10 of the most creative ways to wow your audience.
- Polymer Sites.
- Whiteboard videos.
- Interactive infographics.
- Animated infographics.
- Interactive flowcharts.
- Interactive dashboards (with bars, charts and graphs)
- GIFs.
- Business timelines.
What good data looks like?
Attributes of high quality data Complete – all possible data that is required is present. Conformant – data is stored in an appropriate and standardized format. Consistent – there are no conflicts in information within or between systems. Timely – data is created, maintained and available quickly and as required.
What are the different types of data sets?
They are:
- Numerical data sets.
- Bivariate data sets.
- Multivariate data sets.
- Categorical data sets.
- Correlation data sets.
Where can I find large data sets?
Sources for Finding Large Datasets Page from the CISER Data Archive at Cornell Institute for Social and Economic Research. ‘Find, download, and use datasets that are generated and held by the Federal Government. ‘ U.S. government website with links to health-related datasets from a variety of health agencies.
Does Kaggle use R or Python?
And the best thing about Kaggle Notebooks is that: the user doesn’t need to install Python or R on their computer to use it. Almost all major libraries can be directly imported.
How much does Kaggle cost?
free
All of the resources on Kaggle are free.
Why did Google buy Kaggle?
Why Google Bought Kaggle. Google wants to make AI open to an ever-expanding network of application developers. (Think: “AI-Lite” – Developers can use and deploy machine learning algorithms in their applications without having to become machine learning experts.)
How do you visualize trends?
Visualization methods that show data over a time period to display as a way to find trends or changes over time.
- Area Graph.
- Bubble Chart.
- Candlestick Chart.
- Gantt Chart.
- Heatmap.
- Histogram.
- Line Graph.
- Nightingale Rose Chart.
What can be a creative way of presenting data analysis?
Venn Diagram If you need to make a comparison between 2 relatively simple data sets, Venn diagram can be your creative and cool solution. Venn diagram is an illustration that uses circles to shows logical relationships between two or more sets (grouping items).
What makes a great data visualization?
What Makes Data Visualization Good? A good visualization should establish two aspects of the data being presented: Show connections within the data that are too complex to explain with words. Make it easier for the audience to quickly understand the information presented and consider the outcomes from that data.
How to choose the right type of data visualization?
Change over time. If you mainly want to communicate change over time,we recommend these.
What are examples of data visualization?
Powerful examples of data visualization 1. Line chart. Line charts are one of the most common types of data visualization and have been around for a long time – for good reason. They are most effective at showing the progress of data over time.
What is data visualization and why is it important?
‘A Picture Is Worth a Thousand Words’. Famous sayings have a way of developing a life of their own.