plotting dendogram

brief description: create a plot showing groups/clusters of architects who were born around similar times (i.e. a range of year)

method: there are variety of ways to create a plot that show group and cluster relationships

• dendogram
• parallel coordinate
• cluster plot
• orthogonal convex hull (a potential method)

in this post, dendogram is explored

plotting 2020 reading list

brief description: plot charts of 12-books I have read in 2020, based on enjoyment/usefulness.

1. scatter plot

#21Y002 self-teaching - encircling

brief description: encircling 

result:

#21Y001 self-teaching - scatterplot

brief description: scatterplot 

result:

plotting parallel categories – part 3

brief description: to create a comparative line plot of famous architects using multiple variables – year of birth, year in which one seminal work was completed and year of death. a plot showing progression of architecture career.

result: below images show initial results.

i started by learning how to manipulate texts/annotations in matplotlib. 

three points (x,y coordinates) are generated randomly, plotted with text

2021 RIBA P3 reading list

here are a list of books I have read to prepare for RIBA Part 3 exam:

1. Part 3 Handbook, Stephen Woodhouse
2. RIBA Architect's Handbook of Practice Management: 9th Edition, Nigel Ostime
3. Architects' Guide to Running a Practice, David Littlefield
4. Assembling a Collaborative Project Team, RIBA
5. Guide to RIBA Professional Services Contract 2018
6. JCT Contracts Discovery 
7. JCT Contract Administration Pocket Book (Routledge Pocket Books), Andrew Atkinson
8. Which Contract?, Sarah Lupton & Manos Stellakis 
9. Construction Contracts Q&A, David Shappell
10. Architects' Legal Handbook, Anthony Speaight & Gregory Stone
11. CDM 2015, Paul Bussey
12. Architects' Guide to Fee Bidding 

figures sketch

emo-sausage-ji 

for when you have too many emotions at once

plotting parallel categories – part 2

brief description: to create a comparative line plot of famous architects using multiple variables – year of birth, year in which one seminal work was completed and year of death. a plot showing progression of architecture career.

progress update > three methods. Seaborn vs. Pandas vs. Matplotlib

plotting parallel categories – part I

brief description: to create a comparative line plot of famous architects using multiple variables – year of birth, year in which one seminal work was completed and year of death. a plot showing progression of architecture career.

result:

plotting categorical variables

brief description: mapping of the relationship and timeline between science, technology and architecture

result:

hello world!

my name is mon thi han. i am an ARB registered architect and currently work for Foster+Partners in London. i gained postgraduate degree in architecture from the Bartlett, UCL (2017) and RIBA Part I from the Architectural Association School of Architecture (2012). i am originally from Myanmar. this blog is set up to record my personal research work. here I catalogue

• mini-projects using python scripting
• progress towards writing research interest/ abstract
• sketches
• annual reading lists and book reviews
• general 

would be delighted to receive feedbacks.

you can also find me on LinkedIn and Instagram.