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
A D3.js plugin that produces flame graphs from hierarchical data.

d3-flame-graph A D3.js plugin that produces flame graphs from hierarchical data. If you don't know what flame graphs are, check Brendan Gregg's post.

Martin Spier 740 Dec 29, 2022
A Scheil-Gulliver simulation tool using pycalphad.

scheil A Scheil-Gulliver simulation tool using pycalphad. import matplotlib.pyplot as plt from pycalphad import Database, variables as v from scheil i

pycalphad 6 Dec 10, 2021
Make scripted visualizations in blender

Scripted visualizations in blender The goal of this project is to script 3D scientific visualizations using blender. To achieve this, we aim to bring

Praneeth Namburi 10 Jun 01, 2022
Typical: Fast, simple, & correct data-validation using Python 3 typing.

typical: Python's Typing Toolkit Introduction Typical is a library devoted to runtime analysis, inference, validation, and enforcement of Python types

Sean 171 Jan 02, 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
An interactive dashboard for visualisation, integration and classification of data using Active Learning.

AstronomicAL An interactive dashboard for visualisation, integration and classification of data using Active Learning. AstronomicAL is a human-in-the-

45 Nov 28, 2022
Customizing Visual Styles in Plotly

Customizing Visual Styles in Plotly Code for a workshop originally developed for an Unconference session during the Outlier Conference hosted by Data

Data Design Dimension 9 Aug 03, 2022
Simple function to plot multiple barplots in the same figure.

Simple function to plot multiple barplots in the same figure. Supports padding and custom color.

Matthias Jakobs 2 Feb 21, 2022
Some method of processing point cloud

Point-Cloud Some method of processing point cloud inversion the completion pointcloud to incomplete point cloud Some model of encoding point cloud to

Tan 1 Nov 19, 2021
Visualization Library

CamViz Overview // Installation // Demos // License Overview CamViz is a visualization library developed by the TRI-ML team with the goal of providing

Toyota Research Institute - Machine Learning 67 Nov 24, 2022
Custom ROI in Computer Vision Applications

EasyROI Helper library for drawing ROI in Computer Vision Applications Table of Contents EasyROI Table of Contents About The Project Tech Stack File S

43 Dec 09, 2022
基于python爬虫爬取COVID-19爆发开始至今全球疫情数据并利用Echarts对数据进行分析与多样化展示。

COVID-19-Epidemic-Map 基于python爬虫爬取COVID-19爆发开始至今全球疫情数据并利用Echarts对数据进行分析与多样化展示。 觉得项目还不错的话欢迎给一个star! 项目的源码可以正常运行,各个库的版本、数据库的建表语句、运行过程中遇到的坑以及解决方式在笔记.md中都

31 Dec 15, 2022
mysql relation charts

sqlcharts 自动生成数据库关联关系图 复制settings.py.example 重命名为settings.py 将数据库配置信息填入settings.DATABASE,目前支持mysql和postgresql 执行 python build.py -b,-b是读取数据库表结构,如果只更新匹

6 Aug 22, 2022
Realtime Web Apps and Dashboards for Python and R

H2O Wave Realtime Web Apps and Dashboards for Python and R New! R Language API Build and control Wave dashboards using R! New! Easily integrate AI/ML

H2O.ai 3.4k Jan 06, 2023
High-level geospatial data visualization library for Python.

geoplot: geospatial data visualization geoplot is a high-level Python geospatial plotting library. It's an extension to cartopy and matplotlib which m

Aleksey Bilogur 1k Jan 01, 2023
A simple project on Data Visualization for CSCI-40 course.

Simple-Data-Visualization A simple project on Data Visualization for CSCI-40 course - the instructions can be found here SAT results in New York in 20

Hugo Matousek 8 Oct 27, 2021
Debugging, monitoring and visualization for Python Machine Learning and Data Science

Welcome to TensorWatch TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Micr

Microsoft 3.3k Dec 27, 2022
Color scales in Python for humans

colorlover Color scales for humans IPython notebook: https://plot.ly/ipython-notebooks/color-scales/ import colorlover as cl from IPython.display impo

Plotly 146 Sep 25, 2022
Visualization of numerical optimization algorithms

Visualization of numerical optimization algorithms

Zhengxia Zou 46 Dec 01, 2022
PyFlow is a general purpose visual scripting framework for python

PyFlow is a general purpose visual scripting framework for python. State Base structure of program implemented, such things as packages disco

1.8k Jan 07, 2023