A data analysis web app that let's you upload csv files and perform various statistical tasks, such as linear regression, ploting, and t-tests. Features a RESTful API for managing resources.
Tech used: Server side: Django, Django REST framework, Numpy, Scipy, Pandas, Postgres Front-end: Angular.js, Foundation
Fortran compiler needed for scipy.
Installation on mac with HomeBrew: brew install gfortran
Install all dependencies with pip: pip install requirements.txt
/api/v0/datasets/ /api/v0/datasets/{dataset_id} /api/v0/datasets/{dataset_id}/variables/ /api/v0/datasets/{dataset_id}/variables/{variable_id}
Retrieve API Token from /api/v0/api-token-auth/
All requests require API token. You must add your token to the request header as follows:
curl -H 'Authorization: Token 35f79a7a3934a249ea2f1d2bdc5032ad2a0c5e3d’ ... rest of request ...
All of the data lives in the datasets. A user can have multiple datasets to store related data.
i) attributes: id: integer - read only name: string - The name of the dataset. owner: string - The user who owns the dataset. - read only
ii) Create a new dataset: POST /api/v0/datasets/
name: required file: optional - in csv form
Example request:
curl -i -X POST -H 'Authorization: Token 35f79a7a3934a249ea2f1d2bdc5032ad2a0c5e3d’ -F file='@analyzer_test.csv' -F name="mydataset" http://localhost:8000/api/v0/datasets/
iii) List all datasets for user GET /api/v0/datasets/
iv) Retrieve an existing dataset GET /api/v0/datasets/{dataset_id}
id: required
v) Update a dataset PUT /api/v0/datasets/{dataset_id}
dataset_id: required name: optional
vi) Delete dataset DELETE /api/v0/datasets/{dataset_id}
id: required
Variables contain metadata and the actual variable values. All variables are assigned to a dataset.
i) attributes
id: integer - read only name: string - The name of the variable. dataset: string - The id of the dataset containing the variable. datatype: string - The type of data that is stored in the variable. Can be string, boolean, integer, float or date. subtype: continuous or discrete values: array - The array containing the values of the variable. The primitives inside the array must be the same as the specified datatype.
ii) List all variables within a dataset GET /api/v0/datasets/{dataset_id}/variables/
dataset: required
iii) Retrieve an existing variable GET /api/v0/datasets/{dataset_id}/variables/{variable_id}/
dataset id: required variable id: required
iv) Update a variable PUT /api/v0/datasets/{dataset_id}/variables/{variable_id}/
dataset id: required variable id: required name: optional subtype: optional