The purpose of the COVID-19 Response Team Phone Survey is to fill in macroeconomic data gaps even while providing early evidence to motivate targeted policy and institutional initiatives. Facial expression surveys are no longer practical in the setting of the COVID-19 pandemic due to the threat of transmission and mobility constraints. Telephone surveys, on the other hand, are perfect for getting data fast and regularly Goddard et al., (2018). The World Economic Forum is trying to implement U.k and internally displaced people households contain essentially run by entrepreneurship, and formal businesses, in collaborative efforts with the U.k. of Statistical data, the United Nations Special Coordinator for Refugees, and investigators from the University of Southern California, San Francisco, to assess the influences of COVID-19 and better guide national policies in the U.k. The results and policy proposals for the first of three-collecting data rounds of the COVID 19 from UK households are reported in this note, combined with preliminary results for refugee households and microenterprises.

Thus, according to theories, lockdown measures may lead to both a drop and an increase in crime, particularly levels of violent violence, with some criminal offenses being more likely to increase and others being considerably more likely to decrease. This variable impact is supported by the empirical findings presented in this research brief, with various patterns emerging across countries and fraudulent practices in the short term when pandemic-related actions were undertaken. Numerous processes that have lowered or rampant crime, or matched opposite mechanisms with no noticeable changes, have most likely been driven by a range of policies and which was before situations. This video examines two sorts of criminal activity:

Data from 21 states demonstrate a wide range of patterns in the proportion of homicide victims documented when lockdown measures were implemented. When restriction restrictions were in place, the decline in murder trend in April 2020 in various nations was more than 25% more than the average reported in those months throughout the 2015–2019 period. However, once the precautions were lifted, the pre-lockdown pattern reappeared. In nations in Europe and other areas where data was available, homogeneous developments were obvious, but patterns in Latin America were highly diverse. As a result, drawing broad generalizations about the pandemic’s influence on the degree of deadly violence is challenging. Different levels of punitive laws imposed by governments, which was before economic circumstances, and the overall pervasiveness of particular archetypes of homicide, which in North America is often linked to criminal organizations and gangs, even though in Europe it is more strongly connected to personal and social and relatives’ violence, are all factors that could explain this homogeneity.

In today’s corporate environment, with such data being acquired via data analysis, we need the means to visualize that data so that we can understand it. Visualization tools help us understand data by presenting it in a graphical structure, including charts or diagrams. This makes it easier to spot trends, correlations, and outliers in large data sets by making the data easier natural to comprehend for the human mind.

By sharing information in the most effective manner possible, data visualization may help you in any business or job. Since it takes raw data, analyses it, and distributes it so that conclusions can be drawn, data visualization is an important part of the business analytics process. Computer scientists working in advanced statistics are developing learning algorithms to better arrange vital data into representations that are simpler to consume and assess. Visualization software, in particular, makes use of visual data to communicate information in a general, quick, and effective way Goddard et al., (2018). This technique may help firms figure out which areas need improvement, what variables influence customer happiness and discontent, and what to do about specific items. Stakeholders, business owners, and decision-makers may use graphical data to better estimate sales, earnings, and future growth.

Trend New cases for covid 19

Plot (datasetuk$newCasesBySpecimenDate,datasetuk$date,main=”GDP trend”, xlim=c(50,100), col=”chocolate”, border=”brown”)

Figure 1: New cases trend

The trend of GDP based on the COVID-19

Plot (datasetuk$newCasesBySpecimenDate, datasetuk$GDP,datasetuk$date,main=”GDP trend”, xlim=c(50,100), col=”chocolate&rdqu