Please follow the link to the site to search, browse and view San Francisco data.
How to Use DataSF
The DataSF website has these features:
If you are new to this site, the first step is to Register.
Once registered, you will need to log in to participate and contribute to the DataSF website; if you are not, you will prompted to log in.
Comment on a dataset
First, you must be logged in to contribute to the DataSF website; if you are not, you will prompted to log in. To share your thoughts on a dataset:
- Click 'Comment' to share your thoughts on the dataset
- A word of warning: once submitted, your comment will be published on the site immediately, and cannot be edited, only retracted by a moderator
- With that in mind, click Submit comment to publish it
Rate a dataset
Any user (registered or not) can rate a dataset from 1 (poor) to 5 (excellent). The dataset's current rating is displayed at all times and you can add your own rating when you view a dataset. To rate, click on a star. Your vote is added immediately.
Note that you cannot change your rating once it is submitted.
Search for datasets
Datasets and comments can be found by keyword search or browsing.
- Type a word into the search box in the top right hand corner of the page
- Click Search
- Any datasets that contains your keyword (either in the dataset description, tags or comments) will be displayed
You can search by browsing categories or tags:
- Click a topic in the 'Categories' area in the top of the page (e.g. Housing, 311, etc)
- A list of datasets relevant to that category will be displayed
- Results are sortable by highest rated, newest (most recent), and oldest
If you can't find what you're looking for, please submit a suggestion for the dataset.
Save datasets or Subscribe to a category
If you want to keep an eye on a particular dataset, we have a couple of options for you. If you click on 'Save' located near the bottom of the dataset description it will appear in your profile page under the 'Saved' tab along with any of your other saved datasets.
You can also subscribe to a category by clicking on the RSS icon
(1) improve access to data
(2) help our community create innovative apps
(3) understand what datasets you'd like to see
(4) get feedback on the quality of our datasets.