Tessera

I’m looking to hire a summer intern that’s interested in #climateris!. If you like natural hazards, finance, and tech this is a great team to be on careers.moodys.com/insurance-ad...

I’ve been using edit mode for my #rstats code in position over the last week. Honestly, it feels like magic.

#CLIMATERISK JOBS Moody’s RMS has opened up hiring for a bunch of entry level roles in London, NYC and Edinburgh. These are positions across our model development, customer success (my org), and data science teams. If you are a grad or soon to be grad looking for work this could be for you!

Crystal Lewis@cghlewis.bsky.social · 12mo ago

I remembered seeing this and it came in so clutch cleaning up data that had a number of different data versions in it #rstats

dplyr::rows_update() and dplyr::rows_patch() continue to be super helpful functions when you want to fill missing data with data collected from another source. #rstats More examples: cghlewis.github.io/data-wrangli...

library(tidyverse)

# Review the original data

df

# A tibble: 5 x 4
id grade item1 item2
<dbl> <dbl> <dbl> <dbl>
1 22 3 4 5
2 23 3 5 4
3 24 4 2 1
4 25 5 NA NA
5 26 4 NA NA

# Review our additional dataset collected from a separate form
# Notice that the grade changed for ID 26 (from 4 -> 5)

extra_from

# A tibble: 2 x 4
id grade item1 item2
<dbl> <dbl> <dbl> <dbl>
1 25 5 2 3
2 26 5 4 5

# (01) Fill missing data with values from "extra_form" - don't update existing data

df %>%
rows_patch(extra_form, by = "id")

# A tibble: 5 x 4
id grade item1 item2
<dbl> <dbl> <dbl> <dbl>
1 22 3 4 5
2 23 3 5 4
3 24 4 2 1
4 25 5 2 3
5 26 4 4 5

# (02) Update all overlapping variables using the "extra_form" (i.e., ID 26 grade will go from 4 -> 5)

df %>%
rows_update(extra_form, by = "id")

# A tibble: 5 x 4
id grade item1 item2
<dbl> <dbl> <dbl> <dbl>
1 22 3 4 5
2 23 3 5 4
3 24 4 2 1
4 25 5 2 3
5 26 5 4 5

@fbabovic.bsky.social · 10mo ago

A cool job for the climate-data-finance nerds

Adam Austin@ataustin.bsky.social · 10mo ago

Hey data nerds! I've made a lateral move and my old role is open for applications. It's a data science leader role in home insurance (industry experience strongly preferred). Hybrid in the listed locations. Take a look! #RStats #python #dataScience thehartford.wd5.myworkdayjobs.com/en-US/Career...

Mark Gongloff @markgongloff.bsky.social · 11mo ago

Looks like Apache Sedona has been democratised for smaller datasets and local analyses. Looking forward to making my #rstats code go brrrr 🔥 sedona.apache.org/latest/blog/...

Introducing SedonaDB: A single-node analytical database engine with geospatial as a first-class citizen - Apache Sedona

Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of...

sedona.apache.org

When the world's biggest insurer says climate change has pushed traditional home insurance to its limits, it's already too late to start preparing. And we are in no way ready for a post-insurance world. Gift link to my column for @opinion.bloomberg.com www.bloomberg.com/opinion/arti...

Home Insurance as You Know It Is Doomed. You’re Not Ready.

The remedies for homeowners so far aren’t preparing them for a financially stable existence as the risk of disaster increases.

bloomberg.com

Oh my word. There is a r package for everything.

Post nicht verfügbar.

At the Minnesota state fair today, what’s this years must eat?

I am in Milwaukee for a wedding- no one told me it’s giving Williamsburg Brooklyn pre-2010

I will unfortunately not be able to make this years @climateproof.news happy hour due to pre-existing commitments but you should if you are a #climaterisk professional! luma.com/p1w9klj2

Climate Proof Adaptation Happy Hour · Luma

Join your friends at Climate Proof for an end-of-Climate Week drinks mixer! Reflect on a week of panels, tech demos, and awkward small talk with fellow readers…

luma.com

Simona Meiler@simonameiler.bsky.social · 12mo ago

Very cool paper! Happy to see stuff like this make it to the academic journals

What if companies disclosed climate risk the same way insurers analyze it: with event-based probabilistic models that show what could happen, when, and with what likelihood? Check out our new paper in Environmental Research: Climate to learn more! iopscience.iop.org/article/10.1...

New York climate week is on the horizon. Does anyone have any good #climaterisk sessions they can recommend?

@riskmarketnews.com · 12mo ago

This chat with @michaelwara.bsky.social was really great, very informative

🔥 New Risky Science Podcast: Stanford's Michael Wara on why California should BUY wildfire models, not build them 🎧pod.link/1825669405/e... #WildfireRisk #Insurance #California

I’m a big fan of #rstats but I am jealous of all the tools that are built python first.

I seem to be unable to open csvs or parquets using positron directly from file explorer with the “open with” function. Anyone else having this issue #rstats

#rstats has anyone added a new provider to ellmer? I see that it’s doable but I’m hoping to see if someone has blazed that trail for me and I can follow in their footsteps steps.

The “orange line is a climate risk scenario, indicating a recession which would be roughly twice as bad as the euro crisis, in line with the peak-to-trough in 2008-9 and only exceeded by the COVID-19 shock”. #climaterisk www.ft.com/content/79fc...

The ECB’s song of fire and flood keeps getting louder

But is anyone listening?

ft.com

That’s enough posts on how to speed up r for now. More nat cat musings to come!

Another #rstats gis hack: I’ve been trying to take a 2.5 mil spatial points, buffer them, and then union the buffers into one shape. Turns out if you just order those points by lat, lon you can cut down run time required by st_union() from 6.5 hours to just 5 minutes!! 🏎️🏎️

For the #rstats peeps: are there any packages/paradigms for multi agent systems? Python has things like langchain, do we have anything similar?