solved: I need help with this SQL project I am working on having…


I need help with this SQL project I am working on having…I need help with this SQL project I am working on having difficulties finishing. Despite all help from tutors no one was able to resolve the project. Please help me solve Project Part 2 – Ad Hoc Reporting. You currently have three requests in your inbox awaiting your response:–The LetsMeet CEO Evelyn wants to know how many Toastmasters events are occurring in each city.–The Growth team wants to know if membership is leveling off, and if so, why.–The Marketing team is looking for recommendations on groups to feature in an upcoming :Hey there,I’m working on a report on membership growth to date for Cat and after scanning the latest numbers noticed that it appears membership growth might be leveling off.I’m wondering if you can dig into the year-over-year membership growth for the whole organization. I’m worried there might be some errors in our data collection.Engineering has already informed me of at least one error regarding the city information in our grp_member table. It looks like you might need to amalgamate some smaller suburbs into into their wider geographic area (i.e. East Chicago and West Chicago should just be Chicago). I’ll send you an attachment with our required breakdown.Please include any insights into why membership doesn’t seem to be growing like it used to.Let me know if you can get to this by end of day.Cheers,Sammy- In their follow up e-mail Sammy included a helpful reminder that the joined column in the grp_member table represents the date a member joined a specific group, not the date they joined LetsMeet. They suggest instead that you use the date a member joined their first group as a proxy for when they joined the site.questions :1. Write a query that shows the growth of LetsMeet over the years based on the number of members who joined each year.* hint : Consider using a subquery to find the YEAR(MIN(joined)) and grouping them by the grp_member table, use the appropriate DML to rename the smaller cities to the name of their larger urban areas. Based on the attachment from Sammy, they should be combined as follows:Chicago – East Chicago, West Chicago, North Chicago, Chicago Heights, Chicago Ridge, ChicagoSan Francisco – San Francisco, South San FranciscoNew York – New York, West New York*hint : Don’t forget to SET SQL_SAFE_UPDATES = 0;Use UPDATE, SET, WHERE. These changes should be permanent.3. Time to see if there are any differences in year over year growth by city! Write three new queries that show the annual growth of LetsMeet for the larger geographical areas of Chicago, San Francisco, and New York.* hint : You can reuse your query from Step 2 here by adding a WHERE clause.4.You decide you want to dig deeper into membership growth specifically in 2017, the year when growth in membership seems to slow the most. Write a query to examine the month by month growth for LetsMeet in 2017. What do you notice about the resulting table?* hint :This query will be similar to your previous queries. Instead of looking at YEAR a member joined, you will need to look at MONTH. You will also need to use a WHERE clause to filter your results to the YEAR 2017.ConsiderImage transcription textvenue_ grp_member I venue_id INT(11) member_id INT(11) event city VARCHAR(45) category address_1 VARCHAR(200) I event_id VARCHAR(75) address_2 VAR CHAR(200) country CHAR(2) I category_id INT(11)created DATETIME hometown VARCHAR(45) category_name VARCHAR(45) city VARCHAR(45) … Show more… Show more  Computer ScienceEngineering & TechnologyMYSQL

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