World Bank API Python DashBoard

The project uses the data available from World Bank API Python for visualizations.

Limitation: No option to change World Bank API Database from DashBoard/GUI

Available Versions

Dash App

Multi App

In Multi App, the User can choose two indicators on x-axis and y-axis respectively. The user can look for multi-variable trends for economies.

• Trendline
  • OLS
  • Lowess
• Plots
  • Line
  • Scatter
• Add/Remove: Markers and Years
• Switch Axis Variables Button
• Indicator Descriptions (Info Button)
• Linear/Log Scales

Simple App

It is one variable App where user can only change y-axis variable while x-axis is by set to Year by default. It accepts only one indicator while it is possible to add as many economies as possible.

• OLS Trendline
• Linear/Log Scale

Possibility to Switch

It is possible to switch from Simple to Multi App or vice versa.

Limitation

If App was switched or refreshed, the selections will reset to default. The default settings can be changed from within scripts.

Download Graphs as .png

The interactive plotly has the option to download the graphs too.

Incredible Search

Default Database

World Bank API is set to World Development Indicators (WDI) Database, id=2, by the module developers. wb.source.info() provides the list of available Databases from World Bank API.

import wbgapi as wb
wb.source.info() #provide the list of DBs
wb.db # id number of current Database i.e: (WDI=2)

Globally

In case, of a different database request, the wb.db value has to be changed at the top of appSupport.py

wb.db = 1

Download & Install Conda

Install: Miniconda for GNU/Linux or Windows

GNU/Linux: Too Easy to Install

Windows 10

Take note of Miniconda3 installation path.

During Miniconda3 installation tick:

1. Add Miniconda3 to my PATH environment variable
2. Register Miniconda3 as my default Python 3.9

Windows 7

The Python interpreters <= 3.8 are compatible.

GNU/Linux

Install Git

sudo apt-get update
sudo apt-get install git

Download Github Repository

git clone https://github.com/mirbehroznoor/World-Bank-API-Python-DashBoard

Conda Environment

Python Dependencies

In environment.yml, the conda environment is named wbconda

cat environment.yml

name: wbconda
channels:
  - conda-forge
dependencies:
  - python==3.10
  - dash==2.3.1
  - wbgapi==1.0.7
  - plotly==5.7.0
  - pandas==1.4.2
  - black
  - pip
  - pip:
    - statsmodels==0.13.2
    - dash_bootstrap_components==1.1.0
    - dash-iconify==0.1.2

Create Conda Environment

bash build_env.sh

Run Python App

Simply run the app.py script. The App will open in the default browser after few seconds.

Manually

cd ~/path/to/World-Bank-API-Python-DashBoard
conda activate wbconda
python app.py

Automate

Write Bash Alias function

Find or create .bash_aliases in folder $HOME Directory. Insert the function snippet:

wbapp() {
    cd ~/path/to/World-Bank-API-Python-DashBoard
    conda activate wbconda
    python app.py
}

For shell to re-read the .bash_aliases file, run the following command:

source ~/.bashrc

Afterwards in Terminal, simply run:

wbapp

Windows 10 Instructions.txt

First Option:

Git for Windows

Install git for windows (with default options) Install: Git for Windows

Download World Bank API files from Github Repository

Add Conda Path

Open Git Bash Add conda.sh Path in Git Bash

#Type in Git Bash
. C:/Users/your-username/miniconda3/etc/profile.d/conda.sh

Setup Conda Env

Manually open extracted path in Git Bash:

cd ~ /path/to/World-Bank-API-Python-Dashboard
bash build_env.sh #Creates Conda Environment

Run the App

#Activates conda Environment
conda activate wbconda
#Runs Application
python app.py

Open in Browser

If the App does not open automatically in your favorite browser. Visit App URL:

localhost:8050

<OR>

http://127.0.0.1:8050

Close or Terminate Server

To exit Git Bash server press Ctrl + C in terminal <OR> To close Git Bash Enter exit

After Setup

To Re-run after initial installation (for later use or once Git Bash is closed): Open Git Bash Manually navigate to extracted files path

. C:/Users/your-username/miniconda3/etc/profile.d/conda.sh
conda activate wbconda
Python app.py

Second Option:

The following instructions may not be accurate

Install PyCharm

Create a Project

Use the Git Clone Option from PyCharm Stackoverflow: Import github Repository to PyCharm

Setup Conda Env within PyCharm

• For Conda Env: environment.yml
• For Pyevn Env: requirements.txt

Run the App.py

Share it with others!

• Linkedin
• Twitter
• Whoever can use it

Acknowledgments

• Towardsdatascience: Extract key from python dictionary
• Logrocket Blog: Data Visualization Interfaces Python Dash
• World Bank Blogs: Introducing wbgapi New Python Package Accessing World Bank Data
• Github: wbgapi
• Dash-Plotly: Interactive Graphing
• Dash-Plotly: Legend
• Dash-Plotly: Multi-Page Apps & URLs Support
• Stackoverflow: Prevent a callback from firing in dash
• Stackoverflow: Import github Repository to PyCharm
• Dash App Stylesheets: Dash Analytics Report