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--- | ||
name: Bug report | ||
about: Create a report to help us improve | ||
name: Bug Report | ||
about: Use to report a bug | ||
title: '' | ||
labels: '' | ||
labels: bug | ||
assignees: '' | ||
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--- | ||
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**Describe the bug** | ||
A clear and concise description of what the bug is. | ||
## Bug Report | ||
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### Description | ||
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Provide a brief overview of the bug encountered. Describe the behavior observed when the bug occurs and explain the behavior expected when the bug is not present. | ||
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### Reproducibility | ||
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- [ ] The bug is reproducible. | ||
- [ ] The bug is intermittent. | ||
- [ ] The bug occurs only under specific conditions. | ||
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#### Steps to Reproduce | ||
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1. List the steps to reproduce the bug. | ||
2. Be as detailed as possible to help with replication. | ||
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#### Screenshots / Error Messages (if applicable) | ||
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Insert any relevant screenshots or error messages related to the bug. | ||
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**To Reproduce** | ||
Steps to reproduce the behavior: | ||
1. Go to '...' | ||
2. Click on '....' | ||
3. Scroll down to '....' | ||
4. See error | ||
#### Environment | ||
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**Expected behavior** | ||
A clear and concise description of what you expected to happen. | ||
- **Operating System**: [e.g., Windows 10, macOS, Linux] | ||
- **Browser (if applicable)**: [e.g., Google Chrome, Firefox, Safari] | ||
- **Application Version/Commit**: [e.g., v1.2.3, Git commit hash] | ||
- **Additional Environment Details**: [e.g., hardware specifications, network conditions] | ||
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**Screenshots** | ||
If applicable, add screenshots to help explain your problem. | ||
### Additional Context | ||
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**Desktop (please complete the following information):** | ||
- OS: [e.g. iOS] | ||
- Browser [e.g. chrome, safari] | ||
- Version [e.g. 22] | ||
Provide any additional context or information about the bug. | ||
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**Smartphone (please complete the following information):** | ||
- Device: [e.g. iPhone6] | ||
- OS: [e.g. iOS8.1] | ||
- Browser [e.g. stock browser, safari] | ||
- Version [e.g. 22] | ||
### Possible Fix | ||
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**Additional context** | ||
Add any other context about the problem here. | ||
If you have suggestions for a fix, please describe them here. |
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# See https://pre-commit.com for more information | ||
# See https://pre-commit.com/hooks.html for more hooks | ||
repos: | ||
- repo: https://github.com/pre-commit/pre-commit-hooks | ||
rev: v3.2.0 | ||
hooks: | ||
- id: trailing-whitespace | ||
- id: end-of-file-fixer | ||
- id: check-yaml | ||
- id: check-added-large-files | ||
- id: check-ast | ||
- id: check-json | ||
- id: detect-aws-credentials | ||
args: [--allow-missing-credentials] | ||
- id: detect-private-key | ||
- repo: https://github.com/igorshubovych/markdownlint-cli | ||
rev: v0.39.0 | ||
hooks: | ||
- id: markdownlint | ||
name: Markdownlint | ||
files: \.(md|mdown|markdown)$ | ||
args: [ | ||
"--disable=MD013", # line-length | ||
"--disable=MD033", # no-inline-html | ||
] | ||
- repo: https://github.com/codespell-project/codespell | ||
rev: v2.2.4 | ||
hooks: | ||
- id: codespell | ||
name: codespell | ||
description: Checks for common misspellings in text files | ||
exclude: > | ||
(?x)^( | ||
.*\.json| | ||
)$ | ||
args: ["-L", "gost,"] # ignore words | ||
- repo: https://github.com/astral-sh/ruff-pre-commit | ||
rev: v0.2.1 | ||
hooks: | ||
- id: ruff | ||
types_or: [python, pyi, jupyter] | ||
args: [--fix] | ||
- id: ruff-format | ||
types_or: [python, pyi, jupyter] |
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#pst-back-to-top { | ||
background-color: #3eacad; | ||
} | ||
} |
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# Analysing Business Activity Trends in Egypt | ||
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[Business Activity Trends](https://dataforgood.facebook.com/dfg/tools/business-activity-trends#methodology) are a crisis-triggered dataset released by Meta. The dataset is relesed at a national level. [GADM shpefiles](https://gadm.org/) are slightly different from the official shapefiles used in this project from [HdX, UNOCHA](https://data.humdata.org/dataset/cod-ab-tur). COVID-19 triggered dataset is used in this analysis. | ||
[Business Activity Trends](https://dataforgood.facebook.com/dfg/tools/business-activity-trends#methodology) are a crisis-triggered dataset released by Meta. The dataset is relesed at a national level. [GADM shpefiles](https://gadm.org/) are slightly different from the official shapefiles used in this project from [HdX, UNOCHA](https://data.humdata.org/dataset/cod-ab-tur). COVID-19 triggered dataset is used in this analysis. | ||
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Business Activity Trends During Crisis uses data about posting activity on Facebook to measure how local businesses are affected by and recover from crisis events. Given the broad presence of small businesses on the Facebook platform, this dataset aims to provide timely estimates of global business activity without the common limitations of traditional data collection methods, such as scale, speed and nonstandardization. This is a crisis-triggered dataset i.e., it has been created by Meta to support humanitarian relief for post COVID in Egypt. Details about this dataset can be found on [Meta's Data For Good page](https://dataforgood.facebook.com/dfg/tools/business-activity-trends). | ||
Business Activity Trends During Crisis uses data about posting activity on Facebook to measure how local businesses are affected by and recover from crisis events. Given the broad presence of small businesses on the Facebook platform, this dataset aims to provide timely estimates of global business activity without the common limitations of traditional data collection methods, such as scale, speed and nonstandardization. This is a crisis-triggered dataset i.e., it has been created by Meta to support humanitarian relief for post COVID in Egypt. Details about this dataset can be found on [Meta's Data For Good page](https://dataforgood.facebook.com/dfg/tools/business-activity-trends). | ||
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The Business Activity Trends dataset was provided by [Meta](https://dataforgood.facebook.com/dfg/tools/business-activity-trends) through the proposal [Egypt Country Economic Monitor](https://portal.datapartnership.org/readableproposal/427) of the [Development Data Partnership](https://datapartnership.org). The data consisted of daily business activity quantile information at a GADM 2 level broken down by business vertical. Each cell (row) of the dataset contains data on the daily activity within a polygon-vertical combination. | ||
The Business Activity Trends dataset was provided by [Meta](https://dataforgood.facebook.com/dfg/tools/business-activity-trends) through the proposal [Egypt Country Economic Monitor](https://portal.datapartnership.org/readableproposal/427) of the [Development Data Partnership](https://datapartnership.org). The data consisted of daily business activity quantile information at a GADM 2 level broken down by business vertical. Each cell (row) of the dataset contains data on the daily activity within a polygon-vertical combination. | ||
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**The COVID-19 triggered Business Activity Trends dataset contains daily data from March 1, 2020 to Nov 29, 2022 at the national level. Activity quantile is used to measure the business activity trends in this dataset.** | ||
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