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Beiträge, die mit datascience getaggt sind


The Open Notebook: Using Open Data to Sharpen Science Stories. “Many reporters are familiar with the idea of using data to bring nuance and depth to a story. They may draw from public government data, such as census data or COVID-19 dashboards, for example. But, as my team’s research suggests, journalists aren’t widely utilizing the vast troves of freely accessible data that researchers […]

https://rbfirehose.com/2025/01/30/the-open-notebook-using-open-data-to-sharpen-science-stories/


I'm in contact with a recruiter who is looking to fill 5 to 8 data science roles. If you're in the market, DM me, and I'll put you in contact with him. The pay is decent, and it's on-site in either Virginia or the San Francisco Bay area.

Oh, and please boost for reach. Jobs are hard to come by, and you might be saving someone's life.

#DataScience
#MachineLearning
#FediHire
#FediHired
#GetFediHired
#GetFediBHired
@datasciencejobs


📊 Struggling to find the row with the max value in R? My new post has you covered! Learn 3 methods: which.max(), base R subsetting, and slice_max() from dplyr. Perfect for R programmers of all levels! 🖋️✨

Read & comment here: https://www.spsanderson.com/steveondata/posts/2024-12-10/

#R #RStats #Programming #DataScience #Tips #Blog
Code snippet in a dark-themed editor demonstrating how to use the which.max() function in R to select the row with the maximum value. The example creates a data frame with columns ID and Value, and identifies the row where the Value column is at its maximum.


🔢 Struggling to identify the column with the highest value in your R data frame? This guide has you covered with step-by-step examples using max.col(), apply(), and more!

💡 Start coding smarter today: https://www.spsanderson.com/steveondata/posts/2024-12-09/

#R #RStats #Programming #DataScience #Code #Blog
A code snippet displayed in a dark-themed code editor. The R code assigns column names corresponding to the maximum values in each row of a data frame (df) to a variable max_col_names using colnames(df)[max_col], and prints the result using print(max_col_names). The editor has visual indicators for close, minimize, and maximize buttons.


Missing values giving you a headache? 😩 Whether it’s replacing with the mean, median, or zeros, this guide will boost your R skills! 📊 Learn how to clean up your data like a pro and make your analysis shine. ✨
📖

Dive in here: https://www.spsanderson.com/steveondata/posts/2024-12-02/

#R #RStats #Programming #DataScience #Coding #Blog #RProgramming
A code snippet displayed in a dark-themed editor window shows how to replace missing values (NA) in a vector in R. The code defines a vector v with values c(10, NA, 20, 30, NA, 50). It calculates the mean of the non-missing values using mean(v, na.rm = TRUE) and assigns it to mean_v. Then, it replaces the NA values in v with mean_v. The updated vector v is printed at the end. The editor window features a gray background with red, yellow, and green buttons in the top-left corner.


I invite #dataScientists and #computationalBiologists to contribute to Data All The Way! (https://dataalltheway.com). Share #tutorials, concepts, or projects (with code/Kaggle notebooks) under your name. I’ll help with editing and formatting. Contact me here or via the website to get started!

#DataScience #Bioinformatics #computationalbiology #blog #blogpost


🚀 Simplify your R programming workflow by mastering column deletion! Our latest guide covers multiple methods to remove columns from data frames. Perfect for data cleaning and manipulation.

Explore the full article here: https://www.spsanderson.com/steveondata/posts/2024-11-26/

#R #RStats #Programming #DataScience #Learn #Blog #select #subset #RProgramming #Coding #CodingTips
 A screenshot of R code demonstrating how to create a data frame and delete specific columns. The code creates a data frame with columns A, B, C, and D, and then uses the subset() function to remove columns B and D.


🛠️ Master the art of column comparison in R with practical examples and tips! Perfect for data analysis and ensuring data integrity. Read the full guide and let us know how it helps your projects! 📈💡

#R #RStats #Programming #DataScience #Tips #RProgramming #blog

https://www.spsanderson.com/steveondata/posts/2024-11-21/
Screenshot of R code comparing two columns in a data frame. The code creates a data frame with columns col1 and col2, then checks for equality using the == operator. The output shows a logical vector: TRUE, TRUE, FALSE, TRUE, FALSE.
Watercolor illustration of two construction workers in hard hats and reflective vests examining two large, rusted steel letters "R" at a construction site. The background features cranes and steel beams under a hazy sky.


I wrote a #blog post about using #polars with #python to look at some passwords

#datascience

https://thomasburgess.github.io/2024/11/04/Passwords-with-Polars.html


📊 Unlock the power of the $ operator in R! Perfect for beginners, this guide shows you how to access list elements and data frame columns effortlessly.

Dive in now: https://www.spsanderson.com/steveondata/posts/2024-11-06/

#R #RStats #Programming #DataScience #Code #RProgramming #blog