Analysis of ‘Covid-19 Weekly Trends In Europe - Latest Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/anandhuh/covid19-weekly-trends-in-europe-latest-data on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Content

This dataset contains data of weekly trend of Covid-19 in Europe (January 01 - January 07, 2022)

Attribute Information

1. Country/Other
2. Cases in the last 7 days
3. Cases in the preceding 7 days
4. Weekly Case % Change
5. Cases in the last 7 days/1M pop
6. Deaths in the last 7 days
7. Deaths in the preceding 7 days
8. Weekly Death % Change
9. Deaths in the last 7 days/1M pop
10. Population

Source

Link : https://www.worldometers.info/coronavirus/weekly-trends/#weekly_table

Other Updated Covid Datasets

Link : https://www.kaggle.com/anandhuh/datasets

Please appreciate the effort with an upvote 👍

Thank You

--- Original source retains full ownership of the source dataset ---

Google Trends allows you to study the trends and patterns of search queries on Google. Google Trends represents the absolute number of searches relative to the total number of searches in a defined period of interest. The number retrieved ranges from 0 to 100, where 100 is the highest relative search term for a given search query in the period of interest. 2The data was collecte rom January 2018 to January 2022.

Analysis of ‘Archive: COVID-19 Vaccination Demographic Trends by Report Date, National’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e53fe1ad-8016-40c7-bbe0-2c9fd55e8663 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This data dictionary provides information about archived demographic trend data for people receiving COVID-19 vaccinations in the United States at the national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.

These data have been archived to provide historical demographic trend data for COVID-19 vaccine recipients prior to CDC converting the Vaccination Demographic Trends site to using data based on the date of vaccine administration. Previously, the Vaccination Demographic Trends site presented trend data by the date the vaccination was reported to CDC.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Fitness Trends Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/aroojanwarkhan/fitness-data-trends on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

The motivation behind collecting this data-set was personal, with the objective of answering a simple question, “does exercise/working-out improve a person’s activeness?”. For the scope of this project a person’s activeness was the measure of their daily step-count (the number of steps they take in a day). Mood was measured in either "Happy", "Neutral" or "Sad" which were given numeric values of 300, 200 and 100 respectively. Feeling of activeness was measured in either "Active" or "Inactive" which were given numeric values of 500 and 0 respectively. I had noticed for a while that during the months when I was exercising regularly I felt more active and would move around a lot more. As opposed to when I was not working out, i would feel lethargic. I wanted to know for sure what the connection between exercise and activeness was. I started compiling the data on 6th October with the help Samsung Health application that was recording my daily step count and the number of calories burned. The purpose of the project was to establish through two sets of data (control and experimental) if working-out/exercise promotes an increase in the daily step-count or not.

Content

Date Step Count Calories Burned Mood Hours of Sleep Feeling or Activeness or Inactiveness Weight

Acknowledgements

Special thanks to Samsung Health that contributed to the set by providing daily step count and the number of calories burned.

Inspiration

"Does exercise/working-out improve a person’s activeness?”

--- Original source retains full ownership of the source dataset ---

The dataset contains the monthly consumer price index for the entire national community (NIC) by purchase frequency and the cyclical and trend percentage changes, calculated on the prices recorded in the Municipality of Milan. The NIC index is the indicator used to measure inflation. The source of the data is the monthly ISTAT survey on consumer prices. The basis of the indices is the year 2015=100. The universe of reference is the entire population present in the area and the set of all goods and services purchased by households at an effective market price. Starting from January 2016, the NIC consumer price indices are classified according to the new ECOICOP classification (European Classification of Individual Consumption according to Purpose), attached to the new European framework regulation of harmonized consumer price indices. Conjunctural variation: variation compared to the previous period. Trend change: change compared to the same period of the previous year. The path to use to find the original dataset on sisi.comune.milano.it is: sisi.comune.milano.it - ​​Prices and Consumption - Consumer prices - Price index since 2016

In January 2025, the unadjusted consumer price index (CPI) of all items for urban consumers in the United States amounted to about 317.67. The data represents U.S. city averages. The base period was 1982-84=100. The CPI is defined by the United States Bureau of Labor Statistics as “a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services”. The annual consumer price index for urban consumers in the U.S. can be accessed here. Consumer Price Index The Consumer Price Index (CPI) began in 1919 under the Bureau of Labor Statistics and is published every month. The CPI for all urban consumers includes urban households in Metropolitan Statistical Areas and regions with over 2,500 inhabitants, as well as non-farm consumers living in rural regions. This index was established in 1978 and includes about 80 percent of the U.S. population. The monthly CPI of urban consumers in the United States increased from 292.3 in May 2022 to 304.13 in 2023. Inflation tends not to impact everyone equally for a variety of reasons, including geography - CPI often differs between regions, with a high of 287.49 in the Western region as of 2021. There are also disparities in inflation between income quartiles, in which inflation is generally felt more heavily by lower income households. The annual CPI in the United States has increased steadily over the past two decades, from 140.3 in 1992 to 292.56 in 2022. A forecast of the CPI expects this positive trend to continue, reaching 325.6 by 2027. As of March 2023, the CPI of the nation’s education had increased by 3.5 percent. Further, in the same month costs of recreation, rent, housing, medical care, and food and beverages, gasoline, and transportation increased. Comparatively, the CPI in Hong Kong reached 103.3 in 2022.

Google Mobility Changes: Parks: United States: Maine data was reported at 174.000 % in 30 Sep 2022. This stayed constant from the previous number of 174.000 % for 29 Sep 2022. Google Mobility Changes: Parks: United States: Maine data is updated daily, averaging 85.500 % from Feb 2020 (Median) to 30 Sep 2022, with 934 observations. The data reached an all-time high of 546.000 % in 04 Jul 2022 and a record low of -58.000 % in 29 Jan 2022. Google Mobility Changes: Parks: United States: Maine data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Parks.

Google Mobility Changes: Parks: United States: West Virginia data was reported at 75.000 % in 30 Sep 2022. This records a decrease from the previous number of 82.000 % for 29 Sep 2022. Google Mobility Changes: Parks: United States: West Virginia data is updated daily, averaging 49.000 % from Feb 2020 (Median) to 30 Sep 2022, with 942 observations. The data reached an all-time high of 281.000 % in 29 May 2022 and a record low of -41.000 % in 17 Jan 2022. Google Mobility Changes: Parks: United States: West Virginia data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Parks.

Google Mobility Changes: Parks: United States: Missouri: St. Louis data was reported at 1.000 % in 30 Sep 2022. This records an increase from the previous number of -3.000 % for 29 Sep 2022. Google Mobility Changes: Parks: United States: Missouri: St. Louis data is updated daily, averaging 5.000 % from Feb 2020 (Median) to 30 Sep 2022, with 937 observations. The data reached an all-time high of 160.000 % in 08 Mar 2020 and a record low of -70.000 % in 01 Jan 2022. Google Mobility Changes: Parks: United States: Missouri: St. Louis data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Parks.

Google Mobility Changes: Parks: United States: Washington: Jefferson County data was reported at 124.000 % in 30 Sep 2022. This records an increase from the previous number of 91.000 % for 28 Sep 2022. Google Mobility Changes: Parks: United States: Washington: Jefferson County data is updated daily, averaging 41.000 % from Feb 2020 (Median) to 30 Sep 2022, with 666 observations. The data reached an all-time high of 251.000 % in 10 Sep 2022 and a record low of -52.000 % in 02 Jan 2022. Google Mobility Changes: Parks: United States: Washington: Jefferson County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Parks.

Analysis of ‘Google Search Trends 2021’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/tunguz/google-search-trends-2021 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

Google Trends of search terms is a useful proxy for the most popular topics at any given time. This dataset contains many of the top such worldwide searches in 2021.

--- Original source retains full ownership of the source dataset ---

The monthly Consumer Price Index (CPI) for pet food in Italy, where the year 2015 equals 100, grew with some minor fluctuations between January 2022 and November 2024. It increased from 100.6 in January 2022 to a peak of 120.8 in January 2024. As of November 2024, the monthly CPI had reached 119.9 points. Inflation is measured through the construction of the consumer price index, that measures changes in prices of a ‘basket’ of goods and services, which is representative of households consumer expenditure in a specific year.

In May 2025, global inflation rates and central bank interest rates showed significant variation across major economies. Most economies initiated interest rate cuts from mid-2024 due to declining inflationary pressures. The U.S., UK, and EU central banks followed a consistent pattern of regular rate reductions throughout late 2024. In early 2025, Russia maintained the highest interest rate at 20 percent, while Japan retained the lowest at 0.5 percent. Varied inflation rates across major economies The inflation landscape varies considerably among major economies. China had the lowest inflation rate at -0.1 percent in May 2025. In contrast, Russia maintained a high inflation rate of 9.9 percent. These figures align with broader trends observed in early 2025, where China had the lowest inflation rate among major developed and emerging economies, while Russia's rate remained the highest. Central bank responses and economic indicators Central banks globally implemented aggressive rate hikes throughout 2022-23 to combat inflation. The European Central Bank exemplified this trend, raising rates from 0 percent in January 2022 to 4.5 percent by September 2023. A coordinated shift among major central banks began in mid-2024, with the ECB, Bank of England, and Federal Reserve initiating rate cuts, with forecasts suggesting further cuts through 2025 and 2026.

This statistic displays the monthly Consumer Price Index (CPI) of garden equipment in Italy from October 2017 to August 2022, where the year 2015 equals 100. Since January 2022, the CPI experienced a rapid increase, reaching to 109.2 points in August 2022.

Google Mobility Changes: Parks: United States: Tennessee: Knox County data was reported at 11.000 % in 30 Sep 2022. This records a decrease from the previous number of 18.000 % for 29 Sep 2022. Google Mobility Changes: Parks: United States: Tennessee: Knox County data is updated daily, averaging 14.500 % from Feb 2020 (Median) to 30 Sep 2022, with 934 observations. The data reached an all-time high of 157.000 % in 17 Sep 2022 and a record low of -64.000 % in 06 Jan 2022. Google Mobility Changes: Parks: United States: Tennessee: Knox County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Parks.

This dataset tracks annual science proficiency from 2021 to 2022 for Jones Blackhurst Jan L Elementary School vs. Nevada and Clark County School District

Google Mobility Changes: Retails & Recreation: United States: Georgia: Elbert County data was reported at -11.000 % in 08 Jul 2022. This records a decrease from the previous number of -6.000 % for 21 Jan 2022. Google Mobility Changes: Retails & Recreation: United States: Georgia: Elbert County data is updated daily, averaging -7.000 % from Feb 2020 (Median) to 08 Jul 2022, with 89 observations. The data reached an all-time high of 20.000 % in 01 Mar 2020 and a record low of -55.000 % in 01 Jan 2021. Google Mobility Changes: Retails & Recreation: United States: Georgia: Elbert County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Retail & Recreation.