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style: corrections to grammar in Descriptive Analytics Tasks section of readme #8

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style: corrections to grammar in Descriptive Analytics Tasks section of readme #8

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10 changes: 5 additions & 5 deletions README.md
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Expand Up @@ -98,21 +98,21 @@ For any requests where the `Latitude` and `Longitude` fields are empty, set the

Include logging that lets the executor know how many of the records failed to join, and include a join error threshold above which the script will error out. Please motivate why you have selected the error threshold that you have. Please also log the time taken to perform the operations described, and within reason, try to optimise latency and computational resources used.

### 3. Descriptive Analytic Tasks (if applying for a Data Analyst Position)
### 3. Descriptive Analytics Tasks (if applying for a Data Analyst Position)
*Note:* We are most interested in how you reason about the problem.

Please use the `sr_hex_truncated.csv` dataset to address the following.
Please use the `sr_hex_truncated.csv` dataset to address the following:

Please provide the following:
1. An answer to the question "In which 3 suburbs should the Urban Waste Management directorate concentrate their infrastructure improvement efforts?". Please motivate how you related the data provided to infrastructure issues.
2. An answer to the questions:
1. Focusing on the Urban Waste Management directorate - "What is the median & 80th percentile time to complete each service request across the City?" (each row represent a service request).
2. Focusing on the Urban Waste Management directorate - "What is the median & 80th percentile time to complete each service request for the 3 suburbs identified in (1)?" (each row represent a service request).
1. Focusing on the Urban Waste Management directorate - "What is the median & 80th percentile time to complete each service request across the City?" (each row represents a service request).
2. Focusing on the Urban Waste Management directorate - "What is the median & 80th percentile time to complete each service request for the 3 suburbs identified in (1)?" (each row represents a service request).
3. "Is there any significant differences in the median and 80th percentile completion times between the City as a whole and the 3 suburbs identified in(1)?". Please elaborate on the similarities or differences.
3. Provide a visual mock of a dashboard for the purpose of monitoring progress in applying the insights developed in (1) & (2). It should focus the user on performance pain points. Add a note for each visual element, explaining how it helps fulfill this overall function. Please also provide a brief explanation as to how the data provided would be used to realise what is contained in your mock.
4. Identify value-adding insights for the management of Urban Waste Management, from the dataset provided, in regard to waste collection within the City.

The **final deliverable** is a report (in PDF form) for the Executive Management team of the City. An Executive-level, non-specialist should be able to read the report and follow your analysis without guidance.
The **final deliverable** is a report (in PDF form) for the executive Management team of the City. An Executive-level, non-specialist should be able to read the report and follow your analysis without guidance.

### 4. Predictive Analytic Tasks (if applying for a Data Science Position)
Using the `sr_hex.csv` dataset, please chose __two__ of the following:
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