update,
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31
.gitattributes
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31
.gitattributes
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*.mp4 filter=lfs diff=lfs merge=lfs
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*.zip filter=lfs diff=lfs merge=lfs
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*.7z filter=lfs diff=lfs merge=lfs
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*.tar.gz filter=lfs diff=lfs merge=lfs
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*.jpg filter=lfs diff=lfs merge=lfs
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*.png filter=lfs diff=lfs merge=lfs
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*.avif filter=lfs diff=lfs merge=lfs
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*.webm filter=lfs diff=lfs merge=lfs
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*.mkv filter=lfs diff=lfs merge=lfs
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# Documents
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*.doc diff=astextplain
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*.DOC diff=astextplain
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*.docx diff=astextplain
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*.DOCX diff=astextplain
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*.dot diff=astextplain
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*.DOT diff=astextplain
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*.pdf diff=astextplain
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*.PDF diff=astextplain
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*.rtf diff=astextplain
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*.RTF diff=astextplain
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*.gif filter=lfs diff=lfs merge=lfs
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*.GIF filter=lfs diff=lfs merge=lfs
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*.bmp filter=lfs diff=lfs merge=lfs
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*.BMP filter=lfs diff=lfs merge=lfs
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*.tiff filter=lfs diff=lfs merge=lfs
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*.TIFF filter=lfs diff=lfs merge=lfs
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*.wav filter=lfs diff=lfs merge=lfs
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*.WAV filter=lfs diff=lfs merge=lfs
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*.log filter=lfs diff=lfs merge=lfs
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1
.gitignore
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1
.gitignore
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**/~*.*
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7
gitUpdate.bat
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gitUpdate.bat
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git status .
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@pause
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git add .
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git commit -m"update yo006yo,"
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start git push
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gitUpdate.sh
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gitUpdate.sh
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#!/usr/bin/env bash
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set -ex
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git config --global http.version HTTP/1.1
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git config --global lfs.allowincompletepush true
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git config --global lfs.locksverify true
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git config --global http.postBuffer 5368709120
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git add .
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git commit -m 'update,'
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git push
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echo "done"
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7
meta.md
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7
meta.md
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---
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tags: [HKDI, pending, kaggle]
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---
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# yo006yo
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### Collect Open / Real-Time Data, Visualization and Analysis
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BIN
task1/ProjectBrief_EA_DigitalData_v1d.pdf
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BIN
task1/ProjectBrief_EA_DigitalData_v1d.pdf
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task1/package.json
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task1/package.json
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{
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"name": "yo006yo",
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"version": "1.0.0",
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"description": "",
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"main": "index.js",
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"scripts": {
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"test": "echo \"Error: no test specified\" && exit 1",
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"gitUpdate": "git add . && git commit -m'update,'&& git push"
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},
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"keywords": [],
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"author": "",
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"license": "ISC"
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}
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task1/quotation.md
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task1/quotation.md
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---
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tags: [pending, kaggle]
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---
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# task1
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## Brief
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### You are required to collect open data and real-time data.
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### Part 1: Jupyter notebook Data Analysis and suggestion of actionable items
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- Download the Top 200 common passwords by country 2021 database from www.kaggle.com
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- Manipulate and rearrange the data if necessary
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- Visualize the data using 8 or more charts using Python programming in Jupyter notebook.
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- The sunburst chart, heat map, and pair-plot must be used.
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- 1 or more 3D chart is essential.
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- 1 or more map, such as choropleth map in plotly should be displayed.
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- Analyze the charts (and data) which may reveal some facts to us.
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- Provide insights and suggest actionable items.
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- (You may add other related data set(s) to enrich your insights and suggestions.)
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### Part 2: Real-time data processing and visualization, in Jupyter notebook.
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- Collect and store real-time data using the API of HK Accident and Emergency waiting time (of Hospitals) in NoSQL database (e.g., MongoDB).
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- remarks : https://data.gov.hk/en-data/dataset/hospital-hadata-ae-waiting-time/resource/164c3478-1791-4f9e-94d9-70d2374a48e2
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- The data collection duration should be 3 or more days, within November and/or December.
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- The collection frequency should be every 15 minutes or less.
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- Create Jupyter Notebook to read data into a Pandas dataframe.
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- (You may export the data, using Mongo Compass, to a json file first.)
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- Process and visualize the data.
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- Produce 3 or more charts.
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- You are encouraged to use python 3D visualization techniques too.
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- Analyze the charts (and data) to reveal some facts.
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- Provide insights / comments / suggestions.
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### Items should include:
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- Exported collection(s) of the open data / samples of real-time data, from MongoDB
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- Jupyter Notebooks that visualize and analyze the data sets, with summary, conclusions and so on in Markdown.
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- Demonstrate data collection process and present all results / insights, in a video.
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- Upload everything to Moodle 1 week after the last lesson.
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