Bangladesh - Flooding and Cyclone#

For this analysis, two datasets are utilized:

1. Cyclone Remal Business Activity Trends Dataset

The dataset triggered by Cyclone Remal contains daily data from May 27th, 2024 to June 10th, 2024

The baseline date for this dataset is April 12, 2024 (45 days before the crisis).

2. Flood-Triggered Business Activity Trends Dataset

The Flood-Triggered Business Activity Trends dataset contains daily data from August 25th, 2024 - September 5th, 2024.

The baseline date for this dataset is July 11th, 2024 (45 days before the crisis).

Purpose of this Notebook:#

This notebook demonstrates the following analyses:

  • Visualizing Business Activity Data by Vertical for the National Population:
    Examining how different business sectors (verticals) have been impacted during and after the crisis.

  • Analyzing Changes in Business Activity by Region and Vertical:
    Visualizing how trends vary across administrative regions (Admin 2) and specific business sectors.

Data Information Summary#

This dataset provides insights into business activity at the GADM 2 level, covering 64 districts in Bangladesh.

Activity Quantile (activity_quantile):#

The activity quantile metric is used to measure changes in Business Activity.

  • Purpose: Measures changes in business activity relative to a baseline period.

  • Key Values:

    • 0.5: Normal activity (baseline level).

    • Above 0.5: Increased activity.

    • Below 0.5: Decreased activity.

Calculation Overview:#

  1. Compare daily activity of business pages to their baseline activity levels (quantiles).

  2. Aggregate and standardize these values to follow a normal distribution.

  3. Apply a cumulative probability transformation to derive a value between 0 and 1.

  4. Average results over 7 days to reduce daily noise.

  5. Provides equal weight to all businesses, avoiding bias from more active pages.

Visualizing Business Activity Data by Vertical#

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Analyzing Changes in Business Activity by Region#