September 10th, 2018
Branko Djordjevic
We are happy to present new datasets extracted from open-ml website. You can find them at our machine-learning datasets
September 5th, 2018
Anuar Ustayev
Check out a list of core datasets that are updated on a regular basis. From financial to reference data - it is the best place to find a wide range of up to date datasets.
August 31st, 2018
Anuar Ustayev
Great news! We’ve expanded our range of datasets to include sports data. You can find football data that includes all the major European leagues and ATP tennis data. The football datasets are...
August 23rd, 2018
Branko Djordjevic
We are happy to present a short description of ARFF format that is very useful for those interested in machine learning. In this post we shall explain some features of this format.
July 18th, 2018
Anuar Ustayev
If you are using data CLI tool for both personal and professional purposes, you would need to have more than 1 account. Below we explain how account configurations work and how you can...
July 16th, 2018
Branko Djordjevic
We have extracted 307 indicators from The World Bank and published them on DataHub:
The World Bank Open Data...
July 10th, 2018
Branko Djordjevic
As a platform dedicated to providing access to high quality data and tooling we need to measure how useful our users find DataHub’s services. Measurable values like how many users we have, site...
June 11th, 2018
Anuar Ustayev
Awesome pages are collections of data from DataHub and the web that are grouped and analyzed for your usage. Our goal is to cover all important subjects and users always can
May 25th, 2018
Svetozar Stojkovic
Branko Djordjevic
We have created a number of machine learning datasets that can be interesting for professionals and students from the field.
You can see our current machine-learning datasets at...
May 23rd, 2018
Anuar Ustayev
In this tutorial, we provide instructions on how to automate publishing your dataset via Travis-CI. If you prefer hosting and controlling your dataset on...
May 15th, 2018
Dmitry German
Anuar Ustayev
Here we explain how you can use JavaScript SDK for data deployment purposes. If you need a detailed step-by-step tutorial, please, go to this article:
May 14th, 2018
Anuar Ustayev
In this article we explain how easy is adding a datapackage.json file for your data. You need to have data tool installed - download...
April 19th, 2018
Dmitry German
To help users with creation of Data Packages we have implemented a descriptor validation tool:
https://datahub.io/tools/validate
Now...
April 11th, 2018
Anuar Ustayev
Rufus Pollock
Adam Kariv
We’re sharing an update on all the progress we made in the first quarter of 2018. We massively improved our data command line tool, sped up data deployment 5-100x and introduced...
March 26th, 2018
Dmitry German
Good day, dear data miners, scientists and statisticians!
During the last month we were focused on polishing the existing product - DataHub platform and the data-cli tool....
January 29th, 2018
Anuar Ustayev
We’ve integrated our pipelines system with the website to display more insights to our users. Any dataset you publish on DataHub could be in one of three states: processing,...
January 24th, 2018
Rufus Pollock
Anuar Ustayev
Users can now use the DataHub to validate their tabular data, for example checking that dates really are dates or that a column of daily revenue is always positive.
Data validation is also...
January 23rd, 2018
Meiran Zhiyenbayev
There are several graphs that illustrate pharmaceutical drug spendings from the list OECD countries. Data is clean and available in several formats such as csv, json,...
December 13th, 2017
Anuar Ustayev
Rufus Pollock
Today we are releasing support for private datasets on the DataHub. Private datasets are exactly that: private and visible and accessible only to their owners.
This feature...
December 1st, 2017
Anuar Ustayev
We are pleased to announce the launch of our new desktop application for DataHub users. The app brings drag and drop publishing of data. In addition, users can preview and validate their data prior...
November 16th, 2017
Meiran Zhiyenbayev
Anuar Ustayev
This tutorial demonstrates how to use Data Packages from R. We assume that you already know about Data Packages and its
November 14th, 2017
Anuar Ustayev
Rufus Pollock
Users can now import online data files directly into the DataHub using the data command line tool – and setup scheduled re-imports at the same time.
We’re very excited about...
November 3rd, 2017
Rufus Pollock
Meiran Zhiyenbayev
Anuar Ustayev
The “Core Data” project provides essential data for the data wranglers and data science community. Its online home is on the DataHub:
October 31st, 2017
Anuar Ustayev
You can now see publisher and dataset related events. As we are tracking processes happening in our system, users have ability to discover which publishers have been active or datasets are updated...
October 19th, 2017
Anuar Ustayev
We are now generating compressed versions of datasets so users can download a dataset as a single file. You can find it in the “Data Files” table in the showcase page. For example, you can have a...
October 18th, 2017
Anuar Ustayev
We are now generating preview versions of large datasets so your web browser does not crash by loading large amount of data. The preview versions consist of first 5k rows of datasets (if a dataset...
October 17th, 2017
Anuar Ustayev
As you know publishers can create various views using Vega visualizations in DataHub (learn more about views here). We have just upgraded our platform to use Vega...
October 16th, 2017
Anuar Ustayev
In this tutorial, we will explain how to push Excel data to the DataHub. When an Excel file is pushed, we can extract data from selected sheets for previewing and downloading in alternative...
October 11th, 2017
Meiran Zhiyenbayev
This post walks you through the major changes in the Data Package v1 specs compared to pre-v1. It covers changes in the full suite of Data Package specifications including Data Resources and Table...
October 4th, 2017
Anuar Ustayev
We’ve just added the functionality some basic information on how many datasets you have and how much space you are using.
You can see this information by logging in and visiting your...
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