This report effectively organizes data by using grouping techniques that make comparisons clear and the information easy to follow. The approach can be explained simply as follows ⬇️
1. Grouping by Purpose of Water Use ✅
The report divides water usage into three categories—industrial, agricultural, and domestic. This structured arrangement allows for meaningful comparisons and a clear presentation of the data.
2. Grouping by Dominant Usage Trend ✅
- One group includes regions such as South America, Central Asia, Africa, and Southeast Asia, where agriculture is the primary water consumer.
- Another group consists of regions like North America and Europe, where industrial use predominates.
3. Grouping by Regional Similarities ✅
Instead of listing each region individually, the report groups regions with similar patterns together (for example, agriculture-dominant versus industry-dominant regions). This method reduces repetition and enhances readability.
4. Use of Percentage Ranges ✅
In the agriculture-dominant group, percentage ranges for water use (71%–88%) are presented collectively rather than on a region-by-region basis. This approach condenses the data and prevents overcomplicating the report.
This simple ability to group information can save a lot of time and help you focus more on criteria other than Task Achievement.
@dilshodbekravshanov ✈️
1. Grouping by Purpose of Water Use ✅
The report divides water usage into three categories—industrial, agricultural, and domestic. This structured arrangement allows for meaningful comparisons and a clear presentation of the data.
2. Grouping by Dominant Usage Trend ✅
- One group includes regions such as South America, Central Asia, Africa, and Southeast Asia, where agriculture is the primary water consumer.
- Another group consists of regions like North America and Europe, where industrial use predominates.
3. Grouping by Regional Similarities ✅
Instead of listing each region individually, the report groups regions with similar patterns together (for example, agriculture-dominant versus industry-dominant regions). This method reduces repetition and enhances readability.
4. Use of Percentage Ranges ✅
In the agriculture-dominant group, percentage ranges for water use (71%–88%) are presented collectively rather than on a region-by-region basis. This approach condenses the data and prevents overcomplicating the report.
This simple ability to group information can save a lot of time and help you focus more on criteria other than Task Achievement.
@dilshodbekravshanov ✈️