From cf7dfacd84f7b6ef8a50f8c64fb04102a959b45b Mon Sep 17 00:00:00 2001 From: xinyi Date: Sat, 9 Dec 2023 18:12:22 -0500 Subject: [PATCH] welcome page --- docs/index.html | 22 ++++++++++++++-------- docs/project1.html | 20 ++++++++++---------- docs/project2.html | 20 ++++++++++---------- docs/project3.html | 20 ++++++++++---------- docs/project4.html | 20 ++++++++++---------- docs/project5.html | 20 ++++++++++---------- docs/project6.html | 20 ++++++++++---------- docs/project7.html | 20 ++++++++++---------- docs/scripts/automatic-script.html | 14 +++++++------- docs/search.json | 18 +++++++++--------- docs/welcome.html | 22 ++++++++++++++-------- index.qmd | 13 ++++++++++++- project1.qmd | 2 +- project2.qmd | 2 +- project3.qmd | 2 +- project4.qmd | 2 +- project5.qmd | 2 +- project6.qmd | 2 +- project7.qmd | 2 +- welcome.qmd | 13 ++++++++++++- 20 files changed, 145 insertions(+), 111 deletions(-) diff --git a/docs/index.html b/docs/index.html index 2db0707..eeca571 100644 --- a/docs/index.html +++ b/docs/index.html @@ -114,43 +114,43 @@ @@ -183,7 +183,13 @@

Welcome!

This webpage contains community contributions for Fall 2023 EDAV class at Columbia University.

There are 108 videos in total that are divided into 7 categories.

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Hopefully this will help you prepare for your final project!

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For the final project project, you’re welcome to first check out “1. Data Collection and Preprocessing” and “2. Data Visualization Techniques”, as these are all videos about the basic graphs, skills, and packages in R that are within the scope of the final project. There are also several subcategories in it.

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Other categories cover more advanced skills, which may not necessarily be within the scope of the final project, but are still extremely interesting, useful, and insightful!

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3. Interactive and Web-based Applications”: using Shiny App in R to create interactive online dashboards

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4. Outside of R”: Data visualization techniques outside of R, most of which are in Python

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5. Parameter Analysis of Visualization Techniques”: Dives into the mathematical foundation behind visualization techniques

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6. Programming Techniques and Tools”: diverse programming techniques ranging from speeding up codes in R to integrating R with VSCode and Latex

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7. Statistical Analysis and Modeling”: machine learning, modeling, and inference in R

diff --git a/docs/project1.html b/docs/project1.html index cb714ef..2cccc38 100644 --- a/docs/project1.html +++ b/docs/project1.html @@ -7,7 +7,7 @@ -EDAV Fall 2023 Community Contribution - Data Collection and Preprocessing +EDAV Fall 2023 Community Contribution - 1. Data Collection and Preprocessing