At aspaara a squad of superheroes work on giving superpowers to planning teams. As part of this, we give insights into data through our product dashboar – a true super-vision superpower. Join forces with us and generate the insights of the future!
Create a simple notebook that allows a planner to get insights into client and planning information.
You will find the corresponding data to display in planning.json, which
contains around 10k records.
The notebook should
- give an overview of the data
- provide in-depth statistics for at least one of the following attributes:
- booking grade
- office city
- skills
- industry
- give insights into what you find most noteworthy ;)
- ID: integer (unique, required)
- Original ID: string (unique, required)
- Talent ID: string (optional)
- Talent Name: string (optional)
- Talent Grade: string (optional)
- Booking Grade: string (optional)
- Operating Unit: string (required)
- Office City: string (optional)
- Office Postal Code: string (required)
- Job Manager Name: string (optional)
- Job Manager ID: string (optional)
- Total Hours: float (required)
- Start Date: datetime (required)
- End Date: datetime (required)
- Client Name: string (optional)
- Client ID: string (required)
- Industry: string (optional)
- Required Skills: array of key-value pair (optional)
- Optional Skills: array of key-value pair (optional)
- Is Unassigned: boolean (optional)
- Python
- Jupyter notebook (or similar)
- any other python library you want to use
- Please fork the project, commit and push your implementation and add
[email protected]as a contributor. - Please update the README with any additional details or steps that are requried to run your implementation.
- We understand that there is a limited amount of time, so it does not have to be perfect or 100% finished. Plan to spend no more than 1-2 hours on it.
For any additional questions on the task please feel free to email
[email protected].
We are looking forward to see what insights you can gain from the data!