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
erdantic is a simple tool for drawing entity relationship diagrams (ERDs) for Python data model classes

erdantic is a simple tool for drawing entity relationship diagrams (ERDs) for Python data model classes. Diagrams are rendered using the venerable Graphviz library.

DrivenData 129 Jan 04, 2023
Bioinformatics tool for exploring RNA-Protein interactions

Explore RNA-Protein interactions. RNPFind is a bioinformatics tool. It takes an RNA transcript as input and gives a list of RNA binding protein (RBP)

Nahin Khan 3 Jan 27, 2022
coordinate to draw the nimbus logo on the graffitiwall

This is a community effort to draw the nimbus logo on beaconcha.in's graffitiwall. get started clone repo with git clone https://github.com/tennisbowl

4 Apr 04, 2022
High performance, editable, stylable datagrids in jupyter and jupyterlab

An ipywidgets wrapper of regular-table for Jupyter. Examples Two Billion Rows Notebook Click Events Notebook Edit Events Notebook Styling Notebook Pan

J.P. Morgan Chase 75 Dec 15, 2022
A small timeseries transformation API built on Flask and Pandas

#Mcflyin ###A timeseries transformation API built on Pandas and Flask This is a small demo of an API to do timeseries transformations built on Flask a

Rob Story 84 Mar 25, 2022
Gaphas is the diagramming widget library for Python.

Gaphas Gaphas is the diagramming widget library for Python. Gaphas is a library that provides the user interface component (widget) for drawing diagra

Gaphor 144 Dec 14, 2022
cqMore is a CadQuery plugin based on CadQuery 2.1.

cqMore (under construction) cqMore is a CadQuery plugin based on CadQuery 2.1. Installation Please use conda to install CadQuery and its dependencies

Justin Lin 36 Dec 21, 2022
An intuitive library to add plotting functionality to scikit-learn objects.

Welcome to Scikit-plot Single line functions for detailed visualizations The quickest and easiest way to go from analysis... ...to this. Scikit-plot i

Reiichiro Nakano 2.3k Dec 31, 2022
Matplotlib colormaps from the yt project !

cmyt Matplotlib colormaps from the yt project ! Colormaps overview The following colormaps, as well as their respective reversed (*_r) versions are av

The yt project 5 Sep 16, 2022
Official Matplotlib cheat sheets

Official Matplotlib cheat sheets

Matplotlib Developers 6.7k Jan 09, 2023
Visualize large time-series data in plotly

plotly_resampler enables visualizing large sequential data by adding resampling functionality to Plotly figures. In this Plotly-Resampler demo over 11

PreDiCT.IDLab 604 Dec 28, 2022
A customized interface for single cell track visualisation based on pcnaDeep and napari.

pcnaDeep-napari A customized interface for single cell track visualisation based on pcnaDeep and napari. 👀 Under construction You can get test image

ChanLab 2 Nov 07, 2021
Sprint planner considering JIRA issues and google calendar meetings schedule.

Sprint planner Sprint planner is a Python script for planning your Jira tasks based on your calendar availability. Installation Use the package manage

Apptension 2 Dec 05, 2021
NorthPitch is a python soccer plotting library that sits on top of Matplotlib

NorthPitch is a python soccer plotting library that sits on top of Matplotlib.

Devin Pleuler 30 Feb 22, 2022
NW 2022 Hackathon Project by Angelique Clara Hanzel, Aryan Sonik, Damien Fung, Ramit Brata Biswas

Spiral-Data-Visualizer NW 2022 Hackathon Project by Angelique Clara Hanzell, Aryan Sonik, Damien Fung, Ramit Brata Biswas Description This project vis

Damien Fung 2 Jan 16, 2022
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

100 pandas puzzles Puzzles notebook Solutions notebook Inspired by 100 Numpy exerises, here are 100* short puzzles for testing your knowledge of panda

Alex Riley 1.9k Jan 08, 2023
nvitop, an interactive NVIDIA-GPU process viewer, the one-stop solution for GPU process management

An interactive NVIDIA-GPU process viewer, the one-stop solution for GPU process management.

Xuehai Pan 1.3k Jan 02, 2023
Automate the case review on legal case documents and find the most critical cases using network analysis

Automation on Legal Court Cases Review This project is to automate the case review on legal case documents and find the most critical cases using netw

Yi Yin 7 Dec 28, 2022
Kglab - an abstraction layer in Python for building knowledge graphs

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, p

derwen.ai 466 Jan 09, 2023
script to generate HeN ipfs app exports of GLSL shaders

HeNerator A simple script to generate HeN ipfs app exports from any frag shader created with: GlslViewer GlslEditor The Book of Shaders glslCanvas VS

Patricio Gonzalez Vivo 22 Dec 21, 2022