chandrachaan - Javascript

Chandrachaan is a Javascript library that provides an easy-to-use interface to interact with the Chandrayaan-2 mission's data. Chandrayaan-2 was India's second lunar exploration mission and Chandrachaan library allows you to explore the data collected by the mission using the power of Javascript.

Features

• Access raw data collected by the Chandrayaan-2 mission.
• Analyze the data using various Javascript libraries such as D3.js and Plotly.js.
• Visualize the data using maps, charts and plots.
• Filter the data based on various parameters such as location, altitude, temperature, etc.

Getting Started

To get started, you'll need to install Chandrachaan using npm:

npm install chandrachaan

Once installed, you can import the library using:

import Chandrachaan from 'chandrachaan';

const chandrachaan = new Chandrachaan();

Usage

Accessing Data

Chandrachaan provides various methods to access the data collected by the Chandrayaan-2 mission. Here's an example of how to access the temperature data:

const temperatureData = chandrachaan.getTemperatureData();
console.log(temperatureData);

Analyzing Data

Chandrachaan can be used with various Javascript libraries to analyze the data. Here's an example of how to use D3.js to create a bar chart of the temperature data:

import * as d3 from 'd3';

const temperatureData = chandrachaan.getTemperatureData();

d3.select('body')
  .selectAll('div')
  .data(temperatureData)
  .enter()
  .append('div')
  .style('height', d => d.temperature + 'px')
  .text(d => d.temperature + ' °C');

Visualizing Data

Chandrachaan also provides options to visualize the data using maps, charts and plots. Here's an example of how to use Plotly.js to create a scatter plot of the temperature data:

import Plotly from 'plotly.js';

const temperatureData = chandrachaan.getTemperatureData();

const trace = {
  x: temperatureData.map(d => d.longitude),
  y: temperatureData.map(d => d.latitude),
  mode: 'markers',
  marker: {
    size: temperatureData.map(d => 10 ** (d.temperature / 100)),
    color: temperatureData.map(d => d.temperature),
    colorscale: 'Viridis',
    reversescale: true
  }
};

const data = [ trace ];

Plotly.newPlot('myDiv', data);

Filtering Data

Chandrachaan also provides options to filter the data based on various parameters such as location, altitude, temperature, etc. Here's an example of how to filter the temperature data to show only records with temperature above 0 °C:

const temperatureData = chandrachaan.getTemperatureData();

const filteredData = temperatureData.filter(d => d.temperature > 0);

console.log(filteredData);

Conclusion

Chandrachaan is a powerful Javascript library that allows you to access, analyze, visualize and filter the data collected by the Chandrayaan-2 mission. With Chandrachaan, you can dive deeper into the data and discover new insights about the moon and its environment.