🎁 New Features

This month we’ve built more Trends charts, a new Graph manager and a data enrichment to upsample survey data on top of a number of important improvements.

01. Trends: Recurrent Pattern Charts

We’ve added a new type of chart to Trends! Charts showing recurrent patterns are designed to reveal similarities in the way that quantitative data evolves over specific time periods.

These charts look a little like box plot charts and show the median and quartile range of values aggregated by hour, weekday, week, month, quarter or year. Recurrent patterns are great for spotting repeating trends like seasonal dips in property price, stock price increases in January or decreases in email open rates on Friday afternoons.

How can I start using it?

1. Open Trends in a project with date values.
2. Choose Recurrent Patterns.
3. Select a quantitative value to plot using the top dropdown menu.
4. Choose a time period to aggregate your data by.
5. That’s it. Switch between aggregations to see different perspectives.

02. New Graph Manager

The Graph Manager we’ve just built lives in your right sidebar, making it much easier to see changes you make in real-time. Just bring up the Graph Manager sidebar and watch your actions have immediate effect.

We feel this change makes it much faster and easier to adjust labels or change the size and color of nodes in a Graph.

How can I start using it?

1. Open a project with a Graph.
2. Click the settings icon at the top left of the Graph.
3. Change aspects of your project’s configuration.
4. See the changes in real-time.

03. New Enrichment: Upsample Survey Data

Survey data often needs to be weighed in order to adjust the influence of certain individuals in the final survey estimates. We’ve built an enrichment to scale survey datasets using a column containing predefined weights. 

Our enrichment uses the weights already in your survey data to produce a transformed dataset that adjusts the importance of respondents. Read more about the theory behind surveys and why we built this enrichment in our post here.

How can I start using it?

1. Open a survey dataset with a predefined weight column.
2. Choose any type of analysis using the project setup wizard.
3. Open the data enrichment tab and choose Upsample Survey Data.
4. Specify which variable contains your predefined weights.
5. Set a minimum number of rows required to scale your dataset considering its lowest weight.
6. That’s it. Graphext will transform your survey data.

04. New Tooltip for List Values

Lists are a special kind of data because they hold multiple values. We’ve added a new metric - Total Count - to tooltips associated with lists. Hover over a list value to see it.

Total Count shows the total number of times a value appears. Everything and Selection metrics refer to the number of rows featuring this value and don’t account for instances where a value occurs twice in one row.

How can I start using it?

1. Open a project with at least one list variable.
2. Find the list variable sidebar chart.
3. Hover over any value to inspect the Total Count metric.
4. That’s it. Start filtering your dataset to see this metric update dynamically.

🐞 Bug Fixes & Improvements

• Improved Graphext’s ability to recluster segmentations in big data projects.
• Improved the presentation and organisation of variables in our Text / Social Media > Topics analysis type.
• Add a new variable to Text projects. Length specifies the number of characters in a text value.
• Improved our method of ordering variable charts in Correlations.
• Improved our method of presenting charts without using decimals on either axis.
• Fixed presentational issues with the wizard’s display of creating project steps.
• Fixed a bug causing unexpected behaviour when a user tried to save a manual segmentation.

📖 Stories worth Sharing

01. 36 Data Podcasts to Follow in 2022

We’ve been curating big list of the best data media around. Here’s one on our favorite data podcasts. Read more.

02. When Dating Apps Met Survey Theory: Sampling, Weighting & Romance

A picture of a population is what most surveys hope to achieve. We're taking a look at the fundamentals of survey theory - sampling & weighting - through the lens of a Pew Research survey that examines American attitudes towards relationships and dating apps in 2021. Read more.