In 2024, over ** million people in the United States took part in yoga. This represented an increase over the previous year's figure of **** million.

As of 2024, the most prevalent yoga pose on Instagram was the headstand, with over *********** posts being counted. Meanwhile, over ******* posts featured the king pigeon pose.

How Does Daily Yoga Impact Screen Time Habits

A Study of Daily Screen Time Behavior

By Taylor L Bailey [source]

About this dataset

This dataset contains data on daily minutes of screen time between April 17th and May 14th. With this dataset, you can gain insights into daily phone usage habits and determine the effect that regular yoga practice has on reducing phone use. By recording the amount of time spent using different types of apps -- such as social media, reading, productivity and entertainment -- you can understand how phone habits have changed over time. Moreover, this dataset captures my attempt to do at least 10 minutes of yoga every day for a period of 15 days from April 29th to May 13th. Did this experiment successfully reduce my screen time overall? Dive in deep and find out!

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How to use the dataset

How to use this dataset

This dataset contains information on daily minutes of screen time habits, categorized by type of usage, as well as the effect of yoga on those habits. This is useful for gaining insights into an individual's screen time habits and its variability with respect to doing yoga.

To start with, there are a few key columns to check out: Date (to keep track of the days in view), Week Day (to identify which day it is precisely), Social Networking/Reading and Reference/Other/Productivity/Health and Fitness (to determine how much time was spent in each category) and Yoga (whether or not any yoga was done that day).

You may find it helpful to analyze the daily data over a certain duration by creating separate datasets grouped by weeks or months. Additionally, tallying each person's total minutes per week or per month can show changes over long-term periods. As you will notice right away in viewing this dataset, consistency is important; if someone were tracking their smartphone use regularly but only measured twice during a month period or skipped days without setting aside any reference points prior, then this particular experiment would be somewhat difficult to draw conclusions from. It would be especially impactful if specific factors such as sleep hygiene were tracked along with practice evolution such us advanced yoga sequences tried out over time alongside different approaches at making screens off-limits during mealtime - all items that could bring interesting insight into our relationship with technology devices when looking at screentime fluctuations before and after our mediations become part of our daily routine

Research Ideas

• Track the impact of daily yoga on overall and category-specific screen time.
• Explore the relationship between day of the week and overall or category-specific screen time.
• Investigate how long it takes to establish a healthy habit, such as decreased phone usage, by looking at changes in average daily screen time over the period of a month or two months before and after beginning yoga practice, adjusting for weekly period effect

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Screen Time Data.csv | Column name | Description | |:--------------------------|:------------------------------------------------------------------------------------------| | Date | The date of the data entry. (Date) | | Week Day | The day of the week of the data entry. (String) | | Social Networking | The amount of time spent on social networking. (Integer) | | Reading and Reference | The amount of time spent on reading and reference activities. (Integer) | | Other ...

Financial overview and grant giving statistics of Yoga Research Foundation Inc

The statistic shows revenue of the yoga industry in the United States in 2012, 2015 and 2020. In 2015, yoga industry revenue amounted to **** billion U.S. dollars in the United States. Yoga revenue in the United States – additional information Widely practiced for mental and physical health and relaxation, yoga is a physical, mental, and spiritual discipline which includes breath control, meditation, and specific body postures. The market for yoga has been growing over the years, particularly in the U.S., where the practice has spread throughout the country. This growth in popularity of the practice can be observed in different aspects of this market in the U.S. The number of people practicing yoga, for example, is on the rise. In spring 2015, the number of people who practiced yoga or pilates within the last 12 months amounted to **** million in the U.S. In total, the number of people doing yoga in the U.S. is forecast to grow from ** million in 2008 to around ** million by 2020. Revenue of the yoga industry in the U.S. is projected to amount to around **** billion U.S. dollars by 2020, a significant increase from the 2012 figure, when the yoga industry generated around ***** billion U.S. dollars in revenue. As of 2015, yoga classes make up the majority of the industry’s revenue. Yoga and pilates classes together accounted for ** percent of all revenue generated by the yoga and pilates market in the U.S. The industry generated ** percent of its revenue from pilates and yoga accreditation training, and ** percent from merchandise sales.

The dataset comprises both images and videos depicting right and wrong postures for a variety of Yoga asanas. The focus of the dataset is on 10 specific Yoga postures, namely Anantasana, Ardhakati Chakrasana, Bhujangasana, Kati Chakrasana, Marjariasana, Parvatasana, Sarvangasana, Tadasana, Vajrasana, and Viparita Karani.

The Image dataset comprises a total of 11,344 compressed images (256 × 256 dimension) and is organized into 10 subfolders, each corresponding to a specific Yoga asana. Within each subfolder, there are two additional folders labeled "Right Steps" and "Wrong Steps". The "Right Steps" folder contains several subfolders, each representing a specific step in the right sequence of the Yoga asana and displaying the corresponding images. On the other hand, the "Wrong Steps" folder includes multiple subfolders, each showing images of an wrong steps in the sequence of the Yoga asana.

The Yoga asana video dataset consists of 8 videos for each posture, comprising 4 videos demonstrating the right posture from 4 different angles and 4 videos exhibiting the wrong posture from 4 different angles. This dataset includes a total of 80 compressed videos for 10 Yoga asanas, with 40 videos demonstrating the right postures captured from 4 different angles, and 40 videos illustrating the wrong postures from 4 different angles.

The dataset has advantages for various groups, such as app developers, machine learning researchers, Yoga instructors, and Yoga practitioners. Machine learning researchers can utilize this dataset to train computer vision algorithms in recognizing and categorizing various yoga postures automatically. App developers can use the dataset to generate yoga apps that present users with visual guidance on executing each posture and keeping track of their progress.

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This statistic shows the percentage of children aged 4 to 17 years in the U.S. who used yoga, meditation, or a chiropractor during the past 12 months in 2017, by ethnicity. In 2017, *** percent of non-Hispanic white children had used a chiropractor in the past year.

In 2024, around **** million people in Germany said that they often do yoga, this was a slight decrease compared to year before. The consumption and media analysis (Verbrauchs- und Medienanalyse) VuMA provides information on more than 1,000 brands and almost all products advertised in the media. The report provides data on usage and shopping behavior, media usage as well as opinions and attitudes of the German-speaking population aged 14 years and older.

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