Analyzing data can really help us understand what's happening in the fashion world. Here are some key points to think about:
Consumer Preferences: Surveys show that 62% of people like sustainable fashion. This means they want clothes that are good for the environment.
Sales Patterns: Data about sales shows that summer clothing sales go up by 30% from May to July.
Trend Analysis: We can use line graphs to see how online shopping has changed. For example, it went from 14% in 2010 to 27% in 2020.
Market Prediction: By using a method called regression analysis, we can guess what might happen in the future. For instance, we could see a 15% increase in athleisure wear over the next two years.
Overall, analyzing data helps designers and stores make smart choices in fashion.
Analyzing data can really help us understand what's happening in the fashion world. Here are some key points to think about:
Consumer Preferences: Surveys show that 62% of people like sustainable fashion. This means they want clothes that are good for the environment.
Sales Patterns: Data about sales shows that summer clothing sales go up by 30% from May to July.
Trend Analysis: We can use line graphs to see how online shopping has changed. For example, it went from 14% in 2010 to 27% in 2020.
Market Prediction: By using a method called regression analysis, we can guess what might happen in the future. For instance, we could see a 15% increase in athleisure wear over the next two years.
Overall, analyzing data helps designers and stores make smart choices in fashion.