Implement the Perspective open source code in preparation for data visualization

Overview

Task Overview | Installation Instructions | Link to Module 2

Introduction

Experience Technology at JP Morgan Chase

Try out what real work is like in the technology team JP Morgan Chase. Fast track to the tech team with your work.

Module 2 Task Overview

Use JP Morgan Chase's frameworks and tools Implement JP Morgan Chase’s Perspective open source code in preparation for data visualization

Aim:Take an incomplete setup of Perspective, i.e. a graph that updates manually, and make it work with the code from Task 1 such that it now updates automatically by continuously requesting from the server application

  1. Please clone this repository to start the task
  2. [goal-a] In the client application, observe that when new data feed is retrieved whenever you click the 'Start Streaming Data' button, the previous entry is re-entered into the table. Update the application so that the table does not have duplicated entries
  3. [goal-b] We also want the react app to keep continuosly requesting data from the python server. Currently, the data feed is called only once every time the 'Start Streaming' button is clicked. Change the application to continuously query the datafeed every 100ms when the 'Start Streaming' is clicked.
  4. [goal-c] Currently, the Perspective element only shows the data in table view after the data loads. Add Perspective configurations so that when the data is loaded, it shows the historical data of ask_price ABC in the Y line chart.
  5. Upload a git patch file as the submission to this task

Set up / Installation

In order to get the server and client application code working on your machine, follow the setup here

Note:This is the version of the JPM 2 exercise that uses Python 3. The Python 2.7 version is in this other repo

How to Run

Similar to Task 1, start the data feed server by running the python server.

Make sure your terminal / command line is in the repository first before doing any of this.

If you are using Windows, make sure to run your terminal/command prompt as administrator.

python datafeed/server3.py

If you encounter an issue with datautil.parser, run this command:

pip install python-dateutil

If you don't have pip, you can install it from: https://pip.pypa.io/en/stable/installing/

Run npm install && npm start to start the React application.

It's okay to have audit warnings when installing/running the app.

If you don't have npm (although you should if you followed the set up / installation part), you can install the recommended version alongside NodeJS from: https://nodejs.org/en/

The recommended version are node v11.0.0 and npm v6.4.1

Open http://localhost:3000 to view the app in the browser. The page will reload if you make edits.

Known Issues

Some users seem to be having trouble with the unzipped version of the node_modules back up for windows. This is the alternative unzipped version: https://drive.google.com/drive/folders/1wzIlt-OeiK6nYEHidsOGlpJ_KmeoPVXz

Note: You may need to (hard) refresh the link to the public gdrive to see all of the files/folders e.g. @jpmorganchase/perspective as it takes gdrive a bit to load them for you.

How to fix the code to meet the objectives

To make the changes necessary to complete the objectives of this task, follow this guide.

How to submit your work

A patch file is what is required from you to submit. To create a patch file, follow this guide. Then submit the patch file in the JPM Module 2 Page.

Owner
Abdulazeez Jimoh
Junior Software Engineer
Abdulazeez Jimoh
Geospatial Data Visualization using PyGMT

Example script to visualize topographic data, earthquake data, and tomographic data on a map

Utpal Kumar 2 Jul 30, 2022
A curated list of awesome Dash (plotly) resources

Awesome Dash A curated list of awesome Dash (plotly) resources Dash is a productive Python framework for building web applications. Written on top of

Luke Singham 1.7k Jan 07, 2023
Python code for solving 3D structural problems using the finite element method

3DFEM Python 3D finite element code This python code allows for solving 3D structural problems using the finite element method. New features will be a

Rémi Capillon 6 Sep 29, 2022
Painlessly create beautiful matplotlib plots.

Announcement Thank you to everyone who has used prettyplotlib and made it what it is today! Unfortunately, I no longer have the bandwidth to maintain

Olga Botvinnik 1.6k Jan 06, 2023
Certificate generating and sending system written in Python.

Certificate Generator & Sender How to use git clone https://github.com/saadhaxxan/Certificate-Generator-Sender.git cd Certificate-Generator-Sender Add

Saad Hassan 11 Dec 01, 2022
Data Visualization Guide for Presentations, Reports, and Dashboards

This is a highly practical and example-based guide on visually representing data in reports and dashboards.

Anton Zhiyanov 395 Dec 29, 2022
A shimmer pre-load component for Plotly Dash

dash-loading-shimmer A shimmer pre-load component for Plotly Dash Installation Get it with pip: pip install dash-loading-extras Or maybe you prefer Pi

Lucas Durand 4 Oct 12, 2022
An open-source tool for visual and modular block programing in python

PyFlow PyFlow is an open-source tool for modular visual programing in python ! Although for now the tool is in Beta and features are coming in bit by

1.1k Jan 06, 2023
Collection of data visualizing projects through Tableau, Data Wrapper, and Power BI

Data-Visualization-Projects Collection of data visualizing projects through Tableau, Data Wrapper, and Power BI Indigenous-Brands-Social-Movements Pyt

Jinwoo(Roy) Yoon 1 Feb 05, 2022
Draw datasets from within Jupyter.

drawdata This small python app allows you to draw a dataset in a jupyter notebook. This should be very useful when teaching machine learning algorithm

vincent d warmerdam 505 Nov 27, 2022
Python package for the analysis and visualisation of finite-difference fields.

discretisedfield Marijan Beg1,2, Martin Lang2, Samuel Holt3, Ryan A. Pepper4, Hans Fangohr2,5,6 1 Department of Earth Science and Engineering, Imperia

ubermag 12 Dec 14, 2022
Visualization ideas for data science

Nuance I use Nuance to curate varied visualization thoughts during my data scientist career. It is not yet a package but a list of small ideas. Welcom

Li Jiangchun 16 Nov 03, 2022
Python toolkit for defining+simulating+visualizing+analyzing attractors, dynamical systems, iterated function systems, roulette curves, and more

Attractors A small module that provides functions and classes for very efficient simulation and rendering of iterated function systems; dynamical syst

1 Aug 04, 2021
Regress.me is an easy to use data visualization tool powered by Dash/Plotly.

Regress.me Regress.me is an easy to use data visualization tool powered by Dash/Plotly. Regress.me.-.Google.Chrome.2022-05-10.15-58-59.mp4 Get Started

Amar 14 Aug 14, 2022
web application for flight log analysis & review

Flight Review This is a web application for flight log analysis. It allows users to upload ULog flight logs, and analyze them through the browser. It

PX4 Drone Autopilot 145 Dec 20, 2022
Visualize your pandas data with one-line code

PandasEcharts 简介 基于pandas和pyecharts的可视化工具 安装 pip 安装 $ pip install pandasecharts 源码安装 $ git clone https://github.com/gamersover/pandasecharts $ cd pand

陈华杰 2 Apr 13, 2022
Apache Superset is a Data Visualization and Data Exploration Platform

Apache Superset is a Data Visualization and Data Exploration Platform

The Apache Software Foundation 49.9k Jan 02, 2023
Mattia Ficarelli 2 Mar 29, 2022
basemap - Plot on map projections (with coastlines and political boundaries) using matplotlib.

Basemap Plot on map projections (with coastlines and political boundaries) using matplotlib. ⚠️ Warning: this package is being deprecated in favour of

Matplotlib Developers 706 Dec 28, 2022
Numerical methods for ordinary differential equations: Euler, Improved Euler, Runge-Kutta.

Numerical methods Numerical methods for ordinary differential equations are methods used to find numerical approximations to the solutions of ordinary

Aleksey Korshuk 5 Apr 29, 2022