more links added

resources/data_viz/ds_journalism.qmd

@@ -20,6 +20,7 @@ A listing of data journalism practitioners and companies to follow:
 ### Books
 
 1)  [Telling Stories with Data: With Applications in R and Python](https://tellingstorieswithdata.com/)
+2) [Narrative and Numbers](https://pages.stern.nyu.edu/~adamodar/New_Home_Page/numbers&narrative.htm)
 
 ### Guides
 
@@ -33,15 +34,15 @@ A listing of data journalism practitioners and companies to follow:
 
 ### Dealing with math and stats in journalism
 
-1) [Math in Journalism](https://www.reportingwithnumbers.com/)
-2) [Number soup](https://www.niemanlab.org/2022/08/number-soup-can-we-make-it-easier-for-readers-to-digest-all-the-numbers-journalists-stuff-into-their-stories/)
-3) [Percent change versus percentage-point change](https://journalistsresource.org/home/percent-change-math-for-journalists/)
-4) [When journalists should care about p-values](https://rjionline.org/rji-fellowships/when-journalists-should-care-about-p-values/)
-5) [5 common research designs: A quick primer for journalists](https://journalistsresource.org/home/research-designs-types-primer/)
-6) [10 simple data errors that can ruin an investigation](https://journalistsresource.org/home/10-simple-data-errors-that-can-ruin-an-investigation/)
-7) [What’s standard deviation? 4 things journalists need to know](https://journalistsresource.org/media/standard-deviation-data-journalists/)
-8) [5 things journalists need to know about statistical significance](https://journalistsresource.org/home/statistical-significance-research-5-things/)
-
+1)  [Math in Journalism](https://www.reportingwithnumbers.com/)
+2)  [Number soup](https://www.niemanlab.org/2022/08/number-soup-can-we-make-it-easier-for-readers-to-digest-all-the-numbers-journalists-stuff-into-their-stories/)
+3)  [Percent change versus percentage-point change](https://journalistsresource.org/home/percent-change-math-for-journalists/)
+4)  [When journalists should care about p-values](https://rjionline.org/rji-fellowships/when-journalists-should-care-about-p-values/)
+5)  [5 common research designs: A quick primer for journalists](https://journalistsresource.org/home/research-designs-types-primer/)
+6)  [10 simple data errors that can ruin an investigation](https://journalistsresource.org/home/10-simple-data-errors-that-can-ruin-an-investigation/)
+7)  [What’s standard deviation? 4 things journalists need to know](https://journalistsresource.org/media/standard-deviation-data-journalists/)
+8)  [5 things journalists need to know about statistical significance](https://journalistsresource.org/home/statistical-significance-research-5-things/)
+9)  [Spotting Shady Statistics](https://www.theopennotebook.com/2017/12/05/spotting-shady-statistics/)
 
 ### Writing
 
@@ -53,6 +54,15 @@ A listing of data journalism practitioners and companies to follow:
 6)  [Telling Stories With Data: A Simple Math Guide](https://medium.datadriveninvestor.com/journalism-in-the-data-driven-world-a-simple-math-guide-32d106fc3041)
 7)  [Data Biographies: Getting to Know Your Data](https://gijn.org/2017/03/27/data-biographies-getting-to-know-your-data/)
 8)  [Putting data back into context](https://datajournalism.com/read/longreads/putting-data-back-into-context)
+9)  [How to Tell Science Stories with Maps](https://www.theopennotebook.com/2015/08/25/how-to-tell-science-stories-with-maps/)
+10) [How to Ace a 300-Word Story](https://www.theopennotebook.com/2013/10/22/how-to-ace-a-300-word-story/)
+11) [How to Research and Write Skillfully on Something You Know Nothing About](https://fancycomma.com/2020/07/04/how-to-write-about-something-you-know-nothing-about/)
+12) [9 Tips for Investigative Journalists to Improve Their Writing](https://gijn.org/stories/9-tips-for-investigative-journalists-to-improve-their-writing/)
+13) [Lay summaries needed to enhance science communication](https://www.pnas.org/doi/10.1073/pnas.1500882112)
+14) [The Art of the Essay](https://www.theopennotebook.com/2013/06/25/the-art-of-the-essay/)
+15) [Organizing your research: A scientist’s tips for journalists](https://journalistsresource.org/home/organizing-your-research/)
+16) [Where to begin? My guide to pitching a data story](https://kawan.kontinentalist.com/where-to-begin-my-guide-to-pitching-a-data-story/)
+17) [How to edit your own writing](https://kawan.kontinentalist.com/how-to-edit-your-own-writing/)
 
 ### Tools
 
@@ -79,6 +89,8 @@ A listing of data journalism practitioners and companies to follow:
 8)  [AP DataKit](http://datakit.ap.org/)
 9)  [Data Journalism Grants](https://pulitzercenter.org/grants-fellowships/opportunities-journalists/data-journalism-grants)
 10) [A community conference for data makers everywhere](https://csvconf.com/)
+11) [Lapis](https://lapis-story.com/)
+12) [Kontinentalist](https://kontinentalist.com/)
 
 ## Data Stories (Longform and In-depth articles)
 
@@ -120,3 +132,9 @@ A listing of data journalism practitioners and companies to follow:
 24) [Why are things expensive?](https://www.why-expensive.com/)
 25) [Getting a good job](https://apps.urban.org/features/job-quality-segregation-race-gender/)
 26) [Build a Voter](https://www.economist.com/interactive/uk-general-election/build-a-voter)
+27) [The real cost of seafood](https://kontinentalist.com/stories/the-real-cost-of-seafood)
+27) [How does rice get to your plate?](https://kontinentalist.com/stories/how-does-rice-get-to-your-plate)
+27) [Jakarta’s roadside food sellers](https://kontinentalist.com/stories/jakarta-roadside-food-sellers-challenges-in-future-technology)
+27) [ Exploring the lungs of Asia](https://kontinentalist.com/stories/forest-degradation-deforestation-and-conservation-in-asia)
+28) []()
+29) []()

resources/data_viz/ds_viz.qmd

@@ -21,8 +21,6 @@ This page provides a comprehensive collection of resources on data visualization
 
 ##### 6. [Data Visualization (D3.js)](ds_viz_d3js.qmd)
 
-
-
 ### Journalism and Storytelling
 
 ##### 1. [Data Journalism and Storytelling](ds_journalism.qmd)

resources/data_viz/ds_viz_general.qmd

@@ -30,13 +30,18 @@ A listing of data visualization specialists and companies to follow:
 5)  [Infogram](https://infogram.com/)
 6)  [PiktoChart](https://piktochart.com/)
 7)  [Genially](https://genially.com/)
+8) [Visual Data Storytellers](https://infogr8.com/)
+9) [Info We Trust](https://infowetrust.com/)
+10) [Smart Things](https://www.s-ings.com/)
+
 
 ## Data Visualization (General)
 
 ### Portfolios
 
-1) [PerThirtySix](https://perthirtysix.com/)
-
+1)  [PerThirtySix](https://perthirtysix.com/)
+2) [Romer Creative](https://romercreative.com/#home)
+3) [The Plot Line](https://theplotline.org/)
 
 ### Selecting the appropriate chart types
 
@@ -53,6 +58,7 @@ A listing of data visualization specialists and companies to follow:
 11) [Flourish Best Practices](https://flourish.studio/blog/dataviz-best-practice/)
 12) [Stephen Few Notes](https://www.perceptualedge.com/article-index.php)
 13) [11 Learnings From 11 Charts](https://3mw.albert-rapp.de/p/3mw-11-learnings-11-charts)
+14) [Friends Don't Let Friends Make Bad Graphs](https://github.com/cxli233/FriendsDontLetFriends)
 
 ### Selecting the appropriate colors
 

resources/data_viz/ds_viz_r.qmd

@@ -69,6 +69,8 @@ This page contains a list of resources focused on data visualization in R. There
 16) [The Good, the Bad and the Ugly: how (not) to visualize data](https://shirinsplayground.netlify.app/2020/10/goodbadugly/)
 17) [Six things I always Google when using ggplot2](https://ivelasq.rbind.io/blog/things-i-google/)
 18) [Visualise a billion rows of data in R with Apache Arrow](https://blog.djnavarro.net/posts/2022-08-23_visualising-a-billion-rows/)
+19) [Recreating the Storytelling with Data look with ggplot](https://albert-rapp.de/posts/ggplot2-tips/10_recreating_swd_look/10_recreating_swd_look.html)
+20) [Bar plot checklist](https://albert-rapp.de/posts/ggplot2-tips/16_bars_checklist/16_bars_checklist.html)
 
 ### Troubleshooting
 
@@ -106,6 +108,14 @@ This page contains a list of resources focused on data visualization in R. There
 28) [Improving a Visualization](https://jcarroll.com.au/2021/07/02/improving-a-visualization/)
 29) [ggplot theme for publication ready Plots](https://github.com/koundy/ggplot_theme_Publication)
 30) [WHY NOT DO THAT WITH R?](http://rich-iannone.github.io/DiagrammeR/)
+31) [How to Use hjust & vjust to Move Elements in ggplot2](https://www.statology.org/hjust-vjust-ggplot2/)
+31) [What do hjust and vjust do when making a plot using ggplot](https://stackoverflow.com/questions/7263849/what-do-hjust-and-vjust-do-when-making-a-plot-using-ggplot)
+32) [Top R Color Palettes to Know for Great Data Visualization](https://www.datanovia.com/en/blog/top-r-color-palettes-to-know-for-great-data-visualization/)
+33) [A Quick How-to on Labelling Bar Graphs in ggplot2](https://www.cedricscherer.com/2021/07/05/a-quick-how-to-on-labelling-bar-graphs-in-ggplot2/)
+34) [Avoid overlapping text with ggrepel](https://r-graph-gallery.com/package/ggrepel.html)
+35) [Theme elements](https://ggplot2.tidyverse.org/reference/element.html)
+36) [ggplot2 Theme Elements Reference Sheet](https://isabella-b.com/blog/ggplot2-theme-elements-reference/?s=03)
+37) [Understanding text size and resolution in ggplot2](https://www.christophenicault.com/post/understand_size_dimension_ggplot2/)
 
 ### Various graph types
 
@@ -126,14 +136,16 @@ This page contains a list of resources focused on data visualization in R. There
 15) [Beginners Cookbook for Interactive Visualization in R with highcharter](https://www.programmingwithr.com/how-to-create-animated-bar-race-charts-in-r/)
 16) [Combining maps and patterns](https://albert-rapp.de/posts/ggplot2-tips/25_maps_patterns/25_maps_patterns)
 17) [Sketchy waffle charts in R](https://nrennie.rbind.io/blog/sketchy-waffle-charts-r/)
+18) [How to use emoji in ggplot2 scatter plot](https://yuanxuanyang.medium.com/blog-mdyuanxuan-yang-a328348c4946)
+19) [An Introduction to emojifont package](https://cran.r-project.org/web/packages/emojifont/vignettes/emojifont.html)
 
 ### Great Tables
 
-1) [The Design Philosophy of Great Tables](https://posit-dev.github.io/great-tables/blog/design-philosophy/)
-2) [The grammar of tables in python (pandas) and R (gt)](https://karbartolome.quarto.pub/the-grammar-of-tables/)
-3) [Various Table Types in R](https://r-graph-gallery.com/table.html)
-4) [gtsummary](https://www.danieldsjoberg.com/gtsummary/index.html)
-5) [gtExtras](https://jthomasmock.github.io/gtExtras/)
+1)  [The Design Philosophy of Great Tables](https://posit-dev.github.io/great-tables/blog/design-philosophy/)
+2)  [The grammar of tables in python (pandas) and R (gt)](https://karbartolome.quarto.pub/the-grammar-of-tables/)
+3)  [Various Table Types in R](https://r-graph-gallery.com/table.html)
+4)  [gtsummary](https://www.danieldsjoberg.com/gtsummary/index.html)
+5)  [gtExtras](https://jthomasmock.github.io/gtExtras/)
 
 ## Good Data Viz Examples
 
@@ -155,7 +167,6 @@ This page contains a list of resources focused on data visualization in R. There
 16) [Data Storytelling in R](https://posit.co/blog/how-i-use-stories-to-share-data-at-meetings/)
 17) [Great Table: Cultivated Planet](https://github.com/BjnNowak/CultivatedPlanet/tree/main)
 
-
 ## Data aRtistry
 
 1)  [Getting started in #rtistry](https://ivelasq.rbind.io/blog/rtistry-intro/)

resources/data_viz/ds_viz_spatial.qmd

@@ -14,8 +14,21 @@ The Spatial Data Visualization page provides a list of books and tutorials for b
 5)  [GeoData](https://geodata.state.gov/geonetwork/srv/eng/catalog.search#/home)
 6)  [HDX](https://data.humdata.org/)
 
+## Books
+
+1) [Geocomputation with R/Python](https://geocompx.org/)
+2) []()
+3) []()
+4) []()
+5) []()
+
 ## Tutorials
 
 1)  [Spatio-Temporal Data Visualization](https://medium.com/@samvardhanvishnoi2026/spatio-temporal-data-visualization-my-top-3-techniques-by-experience-4b92113b97ea)
-2) [How to build an animated map of tweets about the NBA finals in R](https://www.storybench.org/build-animated-map-tweets-nba-finals-r/)
-3) 
+2)  [How to build an animated map of tweets about the NBA finals in R](https://www.storybench.org/build-animated-map-tweets-nba-finals-r/)
+3)  [Finding the most unique land cover spatial pattern](https://jakubnowosad.com/posts/2023-12-03-motif-bp8/)
+4)  [Map Africa using OSM data in R](https://milospopovic.net/map-africa-using-osm-data/)
+5)  [3D maps with sf and ggplot2 in R](https://milospopovic.net/3d-maps-with-r/)
+6)  [Animated map and lineplot with R](https://milospopovic.net/animated-map-and-lineplot-with-r/)
+7)  []()
+8)  []()

resources/ds_ml_ai/datasets.qmd

@@ -31,6 +31,25 @@ This page provides a comprehensive collection of resources on datasets that can
 14) [Rebecca Barter - List of Public Data Repositories](https://www.rebeccabarter.com/blog/2023-03-28-data_sources.html)
 15) [GapMinder](https://www.gapminder.org/)
 
+## Afro-Specific Data
+
+1) [Black Wealth Data Center](https://blackwealthdata.org/)
+2) [Africa Data Hub](https://www.africadatahub.org/)
+3) [Black Demographics](https://blackdemographics.com/)
+4) [New Population Counts for 62 Detailed Black or African American Groups](https://www.census.gov/library/stories/2023/10/2020-census-dhc-a-black-population.html)
+5) [African American Studies at Princeton](https://libguides.princeton.edu/c.php?g=84056&p=542224)
+6) [HBCU Rankings](https://www.usnews.com/best-colleges/rankings/hbcu)
+7) [HBCU Stats](https://nces.ed.gov/FastFacts/display.asp?id=667)
+8) [Origin Source of Black Immigrants](https://www.pewresearch.org/2022/01/20/the-caribbean-is-the-largest-origin-source-of-black-immigrants-but-fastest-growth-is-among-african-immigrants/)
+9) [About 6 million U.S. adults identify as Afro-Latino](https://www.pewresearch.org/short-reads/2022/05/02/about-6-million-u-s-adults-identify-as-afro-latino/)
+10) [Obesity in the African-American Community](https://www.apa.org/pi/oema/resources/ethnicity-health/african-american/obesity)
+11) [The economic state of Black America: What is and what could be](https://www.mckinsey.com/featured-insights/diversity-and-inclusion/the-economic-state-of-black-america-what-is-and-what-could-be)
+12) [Cancer statistics for African American/Black People 2022](https://acsjournals.onlinelibrary.wiley.com/doi/10.3322/caac.21718)
+13) [Resident population of the United States by race from 2000 to 2022](https://www.statista.com/statistics/183489/population-of-the-us-by-ethnicity-since-2000/)
+14) [Health of Black or African American non-Hispanic Population](https://www.cdc.gov/nchs/fastats/black-health.htm)
+15) [Black/African American Health](https://minorityhealth.hhs.gov/blackafrican-american-health)
+16) [HIV on Racial and Ethnic Minorities in the U.S.](https://www.hiv.gov/hiv-basics/overview/data-and-trends/impact-on-racial-and-ethnic-minorities)
+
 ## Machine Learning Training Data
 
 1)  [Datasets for Machine Learning and Deep Learning](https://sebastianraschka.com/blog/2021/ml-dl-datasets.html)
@@ -60,3 +79,4 @@ This page provides a comprehensive collection of resources on datasets that can
 15) [StatsBomb Open Data](https://github.com/statsbomb/open-data)
 16) [NCD Risk Factor Datasets](https://ncdrisc.org/index.html)
 17) [Food Systems Dashboard](https://www.foodsystemsdashboard.org/)
+18) [Global Energy Monitor](https://globalenergymonitor.org/)

resources/programming/frontend_dev.qmd

@@ -9,19 +9,35 @@ This page contains a list of resources focused on front-end development.
 
 ### HTML
 
+1)  [ ]()
+2)  [Learn HTML and CSS](https://v2.scrimba.com/learn-html-and-css-c0p)
+3)  [ ]()
+
 ### CSS
 
+1)  [ ]()
+2)  [Learn HTML and CSS](https://v2.scrimba.com/learn-javascript-c0v)
+3)  [ ]()
+
 ### Javascript
 
 1)  [Eloquent Javascript](https://eloquentjavascript.net/)
 2)  [Mozilla Javascript](https://developer.mozilla.org/en-US/docs/Web/JavaScript)
-3)  [ ]()
+3)  [Learn JavaScript](https://v2.scrimba.com/learn-javascript-c0v)
 4)  [ ]()
 
+### Combined
+
+1) [Standard - HTML/CSS/JS App](https://developer.dataiku.com/latest/tutorials/webapps/standard/index.html)
+
 ## Frameworks
 
 ### React
 
+1)  [React - The library for web and native user interfaces](https://react.dev/)
+2)  [Learn React](https://v2.scrimba.com/learn-react-c0e)
+3)  [ ]()
+
 ## Good Website Examples
 
-1) [KOST](https://www.kostgroup.co/)
+1)  [KOST](https://www.kostgroup.co/)

resources/programming/git_hub_cl_sql_docker.qmd

@@ -19,6 +19,7 @@ This page provides a comprehensive collection of resources focused on Git, GitHu
 8)  [Introduction to Git & Github](https://debadritaghosh.hashnode.dev/introduction-to-git-github)
 9)  [How to Use Git/GitHub with R](https://rfortherestofus.com/2021/02/how-to-use-git-github-with-r/)
 10) [git ready](https://gitready.com/)
+11) [An Intro to Git and GitHub for Beginners](https://product.hubspot.com/blog/git-and-github-tutorial-for-beginners)
 
 ### Books
 
@@ -38,7 +39,7 @@ This page provides a comprehensive collection of resources focused on Git, GitHu
 1)  [On undoing, fixing, or removing commits in git](https://sethrobertson.github.io/GitFixUm/fixup.html)
 2)  [Fixing Common Git Mistakes](https://maggieappleton.com/git-mistakes)
 
-## GitHub
+## GitHub and GitLab
 
 ### Basics
 
@@ -53,6 +54,7 @@ This page provides a comprehensive collection of resources focused on Git, GitHu
 1)  [Introducing GitHub Global Campus](https://github.blog/2021-09-01-introducing-github-global-campus/)
 2)  [Collaboration, version control and learning to commit](https://personalpages.manchester.ac.uk/staff/david.selby/rthritis/2021-03-12-git/)
 3)  [Making Your First GitHub R Project](https://codehorizons.com/making-your-first-github-r-project/)
+4) [Learn GitLab with tutorials](https://docs.gitlab.com/ee/tutorials/)
 
 ### Applications
 

resources/programming/programming.qmd

@@ -17,4 +17,6 @@ This page provides a comprehensive collection of resources on programming tools
 
 ##### 5. [Shiny](shiny.qmd)
 
-##### 6. [Front-End Development](frontend_dev.qmd)
+##### 6. [Streamlit and Dash](streamlit_dash.qmd)
+
+##### 7. [Front-End Development](frontend_dev.qmd)

resources/programming/shiny.qmd

@@ -27,12 +27,16 @@ This page provides a comprehensive collection of Shiny resources. On this page,
 2)  [Building Web Applications WITH SHINY](https://rstudio-education.github.io/shiny-course/)
 3)  [Building Shiny apps - an interactive tutorial](https://deanattali.com/blog/building-shiny-apps-tutorial/)
 4)  [Building Interactive World Maps in Shiny](https://rviews.rstudio.com/2019/10/09/building-interactive-world-maps-in-shiny/)
-5) [A webR powered Shiny app](https://nrennie.rbind.io/blog/webr-shiny-tidytuesday/)
+5)  [A webR powered Shiny app](https://nrennie.rbind.io/blog/webr-shiny-tidytuesday/)
 
 ### Tools
 
 1)  [HTML widgets flexdashboard](https://pkgs.rstudio.com/flexdashboard/)
 2)  [htmlwidgets for R](http://www.htmlwidgets.org/)
 3)  [RinteRface: HTML templates for Shiny](https://rinterface.com/)
 4)  [Loading screens for Shiny: waiter](https://waiter.john-coene.com/#/)
-5) [shinyscholar](https://simon-smart88.github.io/shinyscholar/)
+5)  [shinyscholar](https://simon-smart88.github.io/shinyscholar/)
+
+### Examples
+
+1) [Shiny in Life Sciences](https://pub.demo.posit.team/public/Life_Sciences_Shiny_Showcase/)