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6 changes: 5 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -159,7 +159,11 @@ Predictive Analysis: Incorporate external factors such as economic conditions us

![sale_trends_over_time](/screenshots/sales_trends_over_time.png)![sale_trends_over_time_plotly](/screenshots/sales_trends_over_time_plotly.png)
![total_value_by_category](/screenshots/total_value_by_category.png)![total_value_by_category_plotly](/screenshots/total_value_by_category_plotly.png)
![passing_pytests](/screenshots/tests_passing.png)
![passing_pytests](/screenshots/tests_passing.png)![terminal_console-outputs](/screenshots/terminal_console_output.png)

## PR Request and note:

> Initiate a PR reequest to Evans Biwott on this private repo. Along with the console output as seen in the screenshot there are also output files in the strategic_insights_recommendations/ folder and the bonus_questions/ folder along with the browser rendering via plotly which address the assessment questions and also some are extra work particularly the **/strategic_insights_recommendations/insights_overview.txt** file. Thanks for taking your time to go througn my work!


## ✨ Author
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1 change: 1 addition & 0 deletions src/kwanza_tukule_analysis.py
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Expand Up @@ -16,6 +16,7 @@ class KwanzaTukuleAnalysis:
cleaned_data (pd.DataFrame): Cleaned dataset after removing duplicates and handling missing values.
monthly_data (pd.DataFrame): Aggregated dataset for monthly trends.
stats_highlights (dict): Dictionary to store key statistics.
stats_highlights (dict): Dictionary to store key statistics.
"""

def __init__(self, file_path, sheet_name):
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