Last year, COVID-19 changed the economy so fast that economists needed a different kind of data to help them understand it. Monthly indicators based on government survey data that take weeks to ...

For a long time, ever since financial institutions adopted technology, there has been a race to become a data warehouse of information. Let's take a look at how this applies in terms of high-frequency ...

Data sprawl has forced organizations to invest in more data security resources, and is drastically inflating data backup ...

In various industries and applications, it’s crucial to monitor the current and frequency of devices in real-time. These ...

Is it better to present data in percentages (80% of 70) or as a frequency (56 out of 70 times)? According to a new study, data presented in the frequency format leads to more accurate judgments. Is it ...

When it comes to forecasting long-horizon volatility, multistep-ahead iterated forecasts using higher-frequency data can be more efficient than one-step-ahead direct forecasts using lower-frequency ...

Quartiles are the values that divide a data set into quarters: Put the values in order Divide the list into four equal parts The Quartiles are at the divisions The interquartile range shows the range ...