Where can I get datasets for data mining?

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Where can I get datasets for data mining?

Where can I find good datasets for data mining?

  • theinfo.org/
  • infochimps.org/datasets (some free, some paid)
  • ckan.org [Comprehensive Knowledge Archive Network]
  • www.datawrangling.com/some-datasets-available-on-the-web.html.
  • del.icio.us/pskomoroch/dataset.
  • news.ycombinator.com/item?
  • www.reddit.com/r/opendata.

Where can I find datasets for data analysis?

3 Best Sites to Find Datasets for your Data Science Projects

  1. Kaggle. You should be very familiar with Kaggle by now.
  2. Google Dataset Search. Just out of beta early this year (2020), the Google Dataset Search is the most comprehensive Dataset search engine available.
  3. Data.gov.

Where can I find data to practice?

6 Amazing Sources of Practice Data Sets

  • Kaggle:
  • United States Census Bureau:
  • India Census:
  • World Bank:
  • UC Irvine Machine Learning Repository:

How do you select datasets for data mining?

The dataset should be rich enough to let you play with it, and see some common phenomena. In other words, it must have at least a few thousand rows (> 3.5 − 4K), and at least 20 − 25 columns. Of course, larger is welcome. The dataset should have a reasonable mix of both continuous and categorical variables.

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What are the types of data sets in data mining?

Types of Data Sets

  • Numerical data sets.
  • Bivariate data sets.
  • Multivariate data sets.
  • Categorical data sets.
  • Correlation data sets.

What makes a dataset good?

The Quality of a Data Set. It’s no use having a lot of data if it’s bad data; quality matters, too. With that mindset, a quality data set is one that lets you succeed with the business problem you care about. In other words, the data is good if it accomplishes its intended task.

What are the different types of data sets?

What are public datasets?

A public dataset is any dataset that is stored in BigQuery and made available to the general public through the Google Cloud Public Dataset Program. Google pays for the storage of these datasets and provides public access to the data via a project. You pay only for the queries that you perform on the data.

What is a good data set?

A good data set has metadata or a data dictionary A good data set is one that has either well-labeled fields and members or a data dictionary so you can relabel the data yourself.

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How do you prepare a dataset for analysis?

Data Preparation Steps in Detail

  1. Access the data.
  2. Ingest (or fetch) the data.
  3. Cleanse the data.
  4. Format the data.
  5. Combine the data.
  6. And finally, analyze the data.

What is data quality in data mining?

Data quality refers to the overall utility of a dataset(s) as a function of its ability to be easily processed and analyzed for other uses, usually by a database, data warehouse, or data analytics system.

Where can I find large data sets for analysis?

Amazon makes large data sets available on its Amazon Web Services platform. You can download the data and work with it on your own computer, or analyze the data in the cloud using EC2 and Hadoop via EMR. You can read more about how the program works here. Amazon has a page that lists all of the data sets for you to browse.

What is the best tool to explore large data sets?

With Google Cloud, you can use a tool called BigQuery to explore large data sets. Google lists all of the data sets on this page. You’ll need to sign up for a Google Cloud account to see it, but the first 1TB of queries you make each month are free, so as long as you’re careful, you won’t have to pay anything.

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What is the best data set for data cleaning?

Using language, visual, and acoustic features, this UR-FUNNY data set is a great jumpoff point for data cleaning. There is an original and an updated version that removed noisy data instances so a great exercise would be to clean the original version, then compare your work to the available updates.

Where can I find good data sets for data visualization projects?

A good place to find good data sets for data visualization projects are news sites that release their data publicly. They typically clean the data for you, and also already have charts they’ve made that you can replicate or improve. 1. FiveThirtyEight