NOTE: The finalanalytics.py was updated on march 9th, 2024 with comments. I had forgotten to upload the final code with detailed comments in this earlier. But it is the same code that was submitted
Booking Activity Analysis
This Python script analyzes booking data, providing insights into weekly booking activity through a visual representation. It processes booking data from a CSV file, calculates weekly booking counts, their z-scores, and visualizes the data using a bar chart. Each bar represents the number of bookings for a given week, with annotations for the booking count and its z-score. The script also highlights weeks with booking counts above a certain threshold.
Features Reading and processing booking data from a CSV file. Calculating weekly booking counts, including weeks with zero bookings. Computing z-scores for booking counts to identify outliers. Visualizing weekly booking activity with a bar chart. Annotating bars with booking counts and z-scores. Highlighting weeks with booking counts above the mean plus one standard deviation. Installation Before running this script, ensure you have Python installed on your system. This script requires Python 3.x and the following libraries:
Pandas Matplotlib SciPy
Usage Ensure your booking data is in a CSV file with at least the following columns: Created Date: The date the booking was created (in DD/MM/YYYY format). Modify the file_path variable in the script to point to the location of your CSV file
file_path = ""
Contributing Contributions to this script are welcome. Please fork the repository, make your changes, and submit a pull request.
License This script is provided "as is", without warranty of any kind, express or implied. Feel free to use and modify it for personal or commercial purposes.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.