tudoujunha / gemini-google-extension

Chrome extension to view Gemini results alongside Google search
https://gemini.tudoujunha.com
GNU General Public License v3.0
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Web link at bottom of article is no longer helpful #18

Closed jxplvnvusa closed 1 month ago

jxplvnvusa commented 4 months ago

Gemini said:

"rnoaa" is likely referring to the R package "rnoaa". This package provides an interface to access data from the National Oceanic and Atmospheric Administration (NOAA) in R. It allows you to retrieve various types of data, including:

Here's how you might use the "rnoaa" package:

  1. Install and load the package:

    install.packages("rnoaa")
    library(rnoaa)
  2. Retrieve data using functions:

    • ncdc_stations(): Find weather stations by location or station ID.
    • ncdc_data(): Retrieve weather data from a specific station.
    • ghcnd_stations(): Find Global Historical Climatology Network (GHCN) stations.
    • ghcnd_data(): Retrieve data from GHCN stations.
    • ncdc_imagery(): Retrieve satellite imagery.
    • noaa_oceandata(): Retrieve oceanographic data.
  3. Process and analyze the data:

    • Use R's built-in data manipulation and visualization tools to analyze the retrieved data.

Example: Retrieve daily average temperature data for the past year from a specific weather station:

# Find the station ID for a weather station in your location
station_id <- ncdc_stations(location = "New York City", datasetid = "GHCND")$id

# Retrieve daily average temperature data for the past year
daily_temp <- ncdc_data(stationid = station_id, datasetid = "GHCND", datatypeid = "TAVG", startdate = "2022-01-01", enddate = "2022-12-31")

# Process and plot the data
daily_temp %>% 
  mutate(date = as.Date(date)) %>% 
  ggplot(aes(x = date, y = value)) +
  geom_line() +
  labs(x = "Date", y = "Average Temperature (°C)")

To get started with the "rnoaa" package, check out the documentation on the CRAN website: https://cran.r-project.org/package=rnoaa

That link returned the following message:

Package ‘rnoaa’ was removed from the CRAN repository.

Formerly available versions can be obtained from the archive.

Archived on 2024-02-24 as issues were not corrected in time.

A summary of the most recent check results can be obtained from the check results archive.

Please use the canonical form https://cran.r-project.org/package=rnoaa to link to this page.

tudoujunha commented 4 months ago

The problem of false hallucinations produced by large language models will be very troublesome if we want to improve it from a product perspective. I currently have no development plans. Maybe you can try openai's model and see.