WorldBank-Gender-Stats

Getting started

What is it?

This app makes a graph of ""Death rate,crude (per 1000 people)"" VS ""year"" of different countries using DASH plotly web framework.

It imports the data present in .csv file and make the graph using this data . It helps to see the data in graphical manner and helps for prediction .

WorldBank-Gender-Stats data present in Gender_StatsData.csv file http://databank.worldbank.org/data/download/Gender_Stats_csv.zip

Prerequisites

• Hasura CLI
• Git
• Python 3 and pip (required only for local development)

Installation

1. First install python version 3.6.3 or higher in your local machine.
2. Run "pip install Flask" in your cmd or terminal.
3. Run "pip install requests" in your cmd or terminal.
4. Run "python first.py" in your cmd or terminal
5. pip install dash==0.20.0
6. pip install dash-renderer==0.11.3
7. pip install dash-html-components==0.8.0
8. pip install dash-core-components==0.18.1
9. pip install plotly --upgrade

Deploy this project

$ hasura quickstart hasura/base-python-dash

$ cd base-python-dash

$ git add . && git commit -m "Initial Commit"

$ git push hasura master

Now, your app will be running at https://dash.YOUR-CLUSTER-NAME.hasura-app.io (replace YOUR-CLUSTER-NAME with the name of your cluster). To get the name of your cluster

$ hasura cluster status

Navigate to another page https://dash.YOUR-CLUSTER-NAME.hasura-app.io/app1 to see a graph.

Support

If you happen to get stuck anywhere, please mail me at [email protected]. Alternatively, if you find a bug, you can raise an issue here.