Data sources

Data-sources

Data sources are essential components in the field of data science, providing the raw information needed for analysis and decision-making. They can come from various origins, including public databases, APIs, and multimedia formats. Understanding the types of data sources available is crucial for effective data analysis, as the quality and relevance of the data directly impact the outcomes of any project. From government datasets to social media feeds, the diversity of data sources allows researchers and analysts to explore a wide range of questions and derive meaningful insights. Identifying and utilizing the right data sources is key to successful data-driven initiatives.

Simply Statistics

Here are places you can get data sets to analyze (for class projects, fun and profit!) Data Market Infochimps Data.gov Factual.com I’m sure there are a ton more…would love to hear from people.

Where do you get your data?

Simply Statistics

Here’s a question I get fairly frequently from various types of people: Where do you get your data? This is sometimes followed up quickly with “Can we use some of your data?” My contention is that if ...

Discover public data with the Data Source Handbook

Pete Warden's blog

I’m pleased to announce that the Data Source Handbook is now available from O’Reilly. It’s a compact ebook guide to the most useful APIs and bulk data sets I’ve found, packed with examples and advice....

Various data sources in Data Science — Overview and Usage

Analytics Vidhya

The core of data science is data. All decision making is data-driven in the present world which makes data and its usage an important element in organizations. From Analysing the health data in…

What’s in the data?

Towards AI

Unpacking the most popular open-source dataset used in LDM safety Text-to-image (T2I) generative AI models have revolutionized content creation by transforming text into photorealistic and imaginativ...

The Best Data is Free Data, Of Course

Towards Data Science

Commonly used data repositories for data science projects are Kaggle and the UCI Machine Learning Repository. However, many of the datasets available there are synthetic and not representative of the…...

Datasets

Machine Learning Glossary

Datasets Public datasets in vision, nlp and more forked from caesar0301’s awesome datasets wiki. Agriculture Art Biology Chemistry/Materials Science Climate/Weather Complex Networks Computer Networks ...

Stacked Pandas Bar Chart from US COVID-19 API Data

Analytics Vidhya

In the data science world, you often deal with many different types of data sources. These range from structured data sources like a comma separated file or a database to unstructured data sources…

The source of the cake dataset

R-bloggers

In statistics, there are a number of classic datasets that pop up in examples, tutorials, etc. There’s the infamous iris dataset (just type iris in your nearest R prompt), the Palmer penguins (the mod...

Joining Data Sources

Towards Data Science

Most “data science” in the real world involves creating a data set, a visualization, an application that requires pulling and joining data from very different sources to tell a cohesive story. Moving…...

The ideal data source and activities for developing data skills: Yourself

Towards Data Science

The ideal data source for developing data skills: Yourself An introduction to self-tracking and personal science Image by the author. I teach introductory data courses in a graduate program where stu...

Data Ingestion from 5 Major Data Sources using Python

Towards AI

Learn how to ingest data from 5 Major data sources using python. These data sources are RDBMS database, CSV, Parquet, XML, and CSV.