Remove Comparison Remove Metrics Remove Technique
article thumbnail

How Nonprofits Can Tell Powerful Stories Through Data Visualization 

Allegiance Group

AARPs data set presented an interesting information design challenge: the numbers and percentages for the various metrics didnt use a consistent scale. A high number on one metric could mean poor performance. A high number on another metric, however, could be cause for celebration.

Story 52
article thumbnail

Spreadsheet Aerobics: Actionable Measurement for Social Media

Beth's Blog: How Nonprofits Can Use Social Media

One participant on my Facebook page, Maggie Leifer McGary discovered this as well about her nonprofit's fan page (check out her case study ) While it is possible to go back and download an export of daily metrics from the Facebook insights tool from the beginning, it can be a huge pain. I look at the following metrics: Total Interactions.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How Do I Say It With Charts?

Beth's Blog: How Nonprofits Can Use Social Media

For step 1, she suggested using Juice Analytics chart chooser tool. I wanted to learn more about what particular chart format is better suited to visualize a particular comparison or insight from social media data. Time Series Comparisons. More in bar charts in excel.

Chart 107
article thumbnail

Real-time tracking of wildfire boundaries using satellite imagery

Google Research AI blog

Fire scars are obtained after a fire has been contained and are more reliable than real-time fire detection techniques. We compare our models to official fire scars using the precision and recall metrics. We then average each metric across all fires. Test set metrics comparing our models to official fire scars.

Track 108
article thumbnail

Google Research, 2022 & beyond: Algorithmic advances

Google Research AI blog

We proposed a 2-hop spanner technique , called STAR , as an efficient and distributed graph building strategy, and showed how it significantly decreases the number of similarity computations in theory and practice, building much sparser graphs while producing high-quality graph learning or clustering outputs.

Research 110
article thumbnail

Streamline Data Pipelines: How to Use WhyLogs with PySpark for Data Profiling and Validation

Towards Data Science

To avoid this, we often use data profiling and data validation techniques. We can examine various metrics for each column, like their mean values. mean.value Next, we’ll also calculate the mean directly from the dataframe for comparison. We can examine various metrics for each column, like their mean values.

Profile 98
article thumbnail

Imagen Editor and EditBench: Advancing and evaluating text-guided image inpainting

Google Research AI blog

Imagen Editor depends on three core techniques for high-quality text-guided image inpainting. Each example consists of (1) a masked input image, (2) an input text prompt, and (3) a high-quality output image used as reference for automatic metrics. For text-image alignment, Imagen Editor is preferred in all comparisons.