DEEPSHA MENGHANI (@bigdatadipper) 's Twitter Profile
DEEPSHA MENGHANI

@bigdatadipper

Data Scientist at Microsoft #RStats #QuartoPub #DataViz … Opinions are my own. Pronouns - she/her

ID: 165833984

linkhttps://deepshamenghani.quarto.pub/dmenghani/ calendar_today12-07-2010 17:21:38

836 Tweet

438 Followers

457 Following

Jyoti (@geo_tei) 's Twitter Profile Photo

#30DayMapChallenge Day 23 – 3D #gif shows the monthly variations in tropospheric Nitrogen Dioxide column in and around India from November 2022 to October 2023. (1/3) #gis #map #nitrogendioxideconcentration #airquality #sentinel5p #no2

Vijay Jadhav (@vijay__jadhav) 's Twitter Profile Photo

#30DayMapChallenge | #Day23 | 3D An extensive collection of global earthquake events with magnitude 5.5 or higher (2000-2020) Made with: Flourish #3D #Map #Globe #Earthquake

DEEPSHA MENGHANI (@bigdatadipper) 's Twitter Profile Photo

Day 24: B&W #30DayMapChallenge Washington state, where are the people coming from and leaving to. Observable code: observablehq.com/d/aac5c362caaf…

Day 24: B&W #30DayMapChallenge  Washington state, where are the people coming from and leaving to.

<a href="/observablehq/">Observable</a> code: observablehq.com/d/aac5c362caaf…
DEEPSHA MENGHANI (@bigdatadipper) 's Twitter Profile Photo

Day 28: chart or map #30DayMapChallenge This right here is the reason I leave for work at 6:30 as after that even 5 min delay in leaving leads to additional 15 min delay in arrival! Observable plot: observablehq.com/d/4649e9509a44…

Day 28: chart or map #30DayMapChallenge This right here is the reason I leave for work at 6:30 as after that even 5 min delay in leaving leads to additional 15 min delay in arrival! 

<a href="/observablehq/">Observable</a> plot: observablehq.com/d/4649e9509a44…
DEEPSHA MENGHANI (@bigdatadipper) 's Twitter Profile Photo

Day 29 - population #30DayMapChallenge - the stark difference in Washington county land area and population concentration Observable notebook: observablehq.com/d/e862d99f7fdd…

Mark Kromer (@kromerbigdata) 's Twitter Profile Photo

Hey #Azure #DataFactory fans!! Just dropped another new #MicrosoftFabric video. Looking to learn ADF & Synapse concepts in Fabric Data Factory? Here is a video I put together to help get you started and it's less than 15 mins long, yay! Azure Data Factory youtube.com/watch?v=L59Ah_…

Hey #Azure #DataFactory fans!!  Just dropped another new #MicrosoftFabric video. Looking to learn ADF &amp; Synapse concepts in Fabric Data Factory? Here is a video I put together to help get you started and it's less than 15 mins long, yay!  <a href="/AzDataFactory/">Azure Data Factory</a>
youtube.com/watch?v=L59Ah_…
DEEPSHA MENGHANI (@bigdatadipper) 's Twitter Profile Photo

Day 30 - #30DayMapChallenge coming to a close with my favorite… the rail network in Europe, so I plotted the densest one! Observable code: observablehq.com/d/3387899f3101…

Day 30 - #30DayMapChallenge coming to a close with my favorite… the rail network in Europe, so I plotted the densest one!

<a href="/observablehq/">Observable</a> code: observablehq.com/d/3387899f3101…
Vijay Jadhav (@vijay__jadhav) 's Twitter Profile Photo

#30DayMapChallenge | #Day30 | Favorite Finally did it! 3D population density map. I've wanted to do this for a very long time, but as a non-programmer, it was a difficult task. Thanks to Milos Popovic for your tutorials; they helped a lot. #RStat #QGIS #3D #Maharashtra

#30DayMapChallenge | #Day30 | Favorite

Finally did it! 3D population density map. I've wanted to do this for a very long time, but as a non-programmer, it was a difficult task. Thanks to <a href="/milos_agathon/">Milos Popovic</a>  for your tutorials; they helped a lot.

#RStat #QGIS #3D #Maharashtra
DEEPSHA MENGHANI (@bigdatadipper) 's Twitter Profile Photo

#30DayMapChallenge - That’s a wrap folks. These challenges are so helpful to learn new things and most importantly to find that amazing community of support and growth. Observable collection of all plots: observablehq.com/collection/@de…

#30DayMapChallenge - That’s a wrap folks. These challenges are so helpful to learn new things and most importantly to find that amazing community of support and growth. 

<a href="/observablehq/">Observable</a> collection of all plots: observablehq.com/collection/@de…
Deepali Kank (@deepalikank) 's Twitter Profile Photo

#TidyTuesday week 50 - Holiday movies. Made a card-style graphic. Code for Interactive chart: observablehq.com/d/056bc8b01406… #dataviz

#TidyTuesday week 50 - Holiday movies. Made a card-style graphic. 
Code for Interactive chart: observablehq.com/d/056bc8b01406…
#dataviz
DEEPSHA MENGHANI (@bigdatadipper) 's Twitter Profile Photo

It was really fun to create a customer service chatbot with #OpenAI and #Python. Here's the first in-depth setup article on the steps and I am excited to for the next one - Fine tuning it with actual customer service support query dataset. Article 1: medium.com/@menghani.deep…

Ryan Hart (@ryanahart) 's Twitter Profile Photo

#TidyTuesday | Week 1 | Bring your own data (BYOD) Visualizing my past running 🏃‍♂️data using Strava's API and the GitHub (dark mode) code contribution chart for design inspiration. code: github.com/curatedmess/Ti… #rstats #dataviz

#TidyTuesday | Week 1 | Bring your own data (BYOD)    

Visualizing my past running 🏃‍♂️data using Strava's API and the GitHub (dark mode) code contribution chart for design inspiration.

code: github.com/curatedmess/Ti…

#rstats #dataviz
RuthMilligan (@ruthmilligan) 's Twitter Profile Photo

@TheRealRoyKent I do hope someone has shared the best data analysis with you ever done by DEEPSHA MENGHANI. Fucking brilliant. youtu.be/AbuK2F57NEs?si…

Milos Makes Maps (@milosmakesmaps) 's Twitter Profile Photo

You won't believe this map of South America's rivers that I made 🤯. It shows the different sizes of the rivers using HydroSHEDS data. Look at the Amazon river. It's huge! 😍 Watch my video to learn how I did it and some cool tips for your own projects:🔗lnkd.in/eczCDTkd

You won't believe this map of South America's rivers that I made 🤯. It shows the different sizes of the rivers using HydroSHEDS data. Look at the Amazon river. It's huge! 😍

Watch my video to learn how I did it and some cool tips for your own projects:🔗lnkd.in/eczCDTkd