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Hello @bryevdv and @pavithraes , This issue will provide you with the formal record of my outreachy's contribution to Bokeh community.
I have contributed to all three projects and completed all the associated microtasks.
For [Project] Create a blog post series: "Fundamentals of Data Visualization in Bokeh" #2 :
I have created three different files each containing different kinds of glyphs/graphs. All the files are in my repository and I have also made a separate gists for each of them.
i. Pie-chart.ipynb contains two pie charts (Gist link) :
a. The first pie chart contains the qualitative distribution of Payment methods among the passengers.(Image)
b. The second pie chart contains the qualitative distribution of number of passengers boarding a taxi.(Image)
ii. trip_analysis.ipynb contains a colourful visualization of average distance covered by a taxi vs average speed of the taxi (I tried to make the glyph look garden like, so its quite colourful),(Gist link)
iii. trip_analysis_2.ipynb contains a bar graph demonstrating the number of hours a taxi is working each weekday.(Gist link)
iv. Cross_tabulation.ipynb depicts the trend of payment types on different days of week.(Gist link)(image)
v. Donut_chart_trip_analysis.ipynb depicts the trends in toll payment according too the RatecodeID.(Gist link) .(Image)
Images for Donut chart, Pie charts and cross tabulations are in their respective folders in the mentioned repository.
vi. Stacked_splits.ipynb shows the frequency of usage of payment methods by weekdays. (Gist link)(Image)
Hi @KesharwaniArpita thanks for your patience and your contributions. Your recording is very thorough and clear and all of the microtasks are satisfied
Hello @bryevdv and @pavithraes , This issue will provide you with the formal record of my outreachy's contribution to Bokeh community.
I have contributed to all three projects and completed all the associated microtasks.
[Micro task] Set up your local development environment for Bokeh #4:
This task was further required for the successful completion of [Project] Improve Bokeh's documentation using the Diátaxis framework #1 and [Project] Improve the accessibility of Bokeh's Gallery examples #3
For [Project] Improve Bokeh's documentation using the Diátaxis framework #1 :
i. Setup the development environment
ii. Added metadata to setvalue.py , #12991
iii. Added metadata to arcs.py, #12989
iv. Updated lines.rst #13017
For [Project] Create a blog post series: "Fundamentals of Data Visualization in Bokeh" #2 :
I have created three different files each containing different kinds of glyphs/graphs. All the files are in my repository and I have also made a separate gists for each of them.
i. Pie-chart.ipynb contains two pie charts (Gist link) :
a. The first pie chart contains the qualitative distribution of Payment methods among the passengers.(Image)
b. The second pie chart contains the qualitative distribution of number of passengers boarding a taxi.(Image)
ii. trip_analysis.ipynb contains a colourful visualization of average distance covered by a taxi vs average speed of the taxi (I tried to make the glyph look garden like, so its quite colourful),(Gist link)
iii. trip_analysis_2.ipynb contains a bar graph demonstrating the number of hours a taxi is working each weekday.(Gist link)
iv. Cross_tabulation.ipynb depicts the trend of payment types on different days of week.(Gist link)(image)
v. Donut_chart_trip_analysis.ipynb depicts the trends in toll payment according too the RatecodeID.(Gist link) .(Image)
Images for Donut chart, Pie charts and cross tabulations are in their respective folders in the mentioned repository.
vi. Stacked_splits.ipynb shows the frequency of usage of payment methods by weekdays. (Gist link)(Image)
For [Project] Improve the accessibility of Bokeh's Gallery examples #3 :
I have tries this task in two ways:
i. Making a repository of plots I altered and opened a pull request for the same . There are three plots in the repository taken from bokeh's gallery:
a. Slope: Code can be viewed here
The changed plot looks like:
b. Histogram: Code can be viewed here
The changed plot looks like:
c. Jitter_plot: Code can be viewed here
The changed plot looks like:
ii. Opening a pull request for changing the colours in color_scatter.py, #13008
I reversed the order of colours in the plot.
Older plot:
Changed plot:
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