#UKBankCustomerBaseline #StoryLine #InteractiveDashboard #Bins&Parameters #Annotations
- The majority of bank customers, 54%, are from the United Kingdom.
- The UK customer base primarily consists of white-collar workers, constituting 70% of their clientele. This could be attributed to London's status as the economic hub of Europe.
![Screenshot 2023-08-28 at 2 32 32 PM](https://private-user-images.githubusercontent.com/108412331/263654292-e5a6670d-cc3e-489f-b8ea-a691bd49b2f9.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTk2Nzc3NzQsIm5iZiI6MTcxOTY3NzQ3NCwicGF0aCI6Ii8xMDg0MTIzMzEvMjYzNjU0MjkyLWU1YTY2NzBkLWNjM2UtNDg5Zi1iOGVhLWE2OTFiZDQ5YjJmOS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjI5JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYyOVQxNjExMTRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT03N2M3NzI3N2NhYjMwNzkyOTM4NzU1MmRhOWRjMzMxYmYwZmRhZDU5ZmFkNTRjM2YxNDZlYWI4YWMyOGMxMGRhJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.ztLebErtlZht7yD3PBeVkybW-kBv8dpidmFnoPf5XJc)
- A significant majority of our customers are older individuals, with males making up the predominant group at 72%.
- Majority of the customers are more blue collar workers(48%), very few white - collar workers.
![Screenshot 2023-08-28 at 4 03 57 PM](https://private-user-images.githubusercontent.com/108412331/263678365-f4d1a0ad-1090-4796-8058-da2dbc1f0140.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTk2Nzc3NzQsIm5iZiI6MTcxOTY3NzQ3NCwicGF0aCI6Ii8xMDg0MTIzMzEvMjYzNjc4MzY1LWY0ZDFhMGFkLTEwOTAtNDc5Ni04MDU4LWRhMmRiYzFmMDE0MC5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjI5JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYyOVQxNjExMTRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1mODY5M2IzZTYxNDY2ZTcxZWM1MzkyNGJlYTY3ODQ3MmRmZjFmNGNmZWY4ZGQ3NGMzN2I5NjQzY2I2ZjlhODU2JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.hEo9kbiipXMxo7C7Hlu8PCiLjR8N-F7iKM1ZNjQH6Dk)
- Majority of customers are predominantly Females(74%) and maximum bank balance is below 35k within the age group of 28 - 30.
![Screenshot 2023-08-28 at 4 13 31 PM](https://private-user-images.githubusercontent.com/108412331/263680182-78edae1d-1da9-4514-98f4-d94898d6290e.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTk2Nzc3NzQsIm5iZiI6MTcxOTY3NzQ3NCwicGF0aCI6Ii8xMDg0MTIzMzEvMjYzNjgwMTgyLTc4ZWRhZTFkLTFkYTktNDUxNC05OGY0LWQ5NDg5OGQ2MjkwZS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjI5JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYyOVQxNjExMTRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1hNmQ5ZWFlYTkyMGQ3OTI0YjJlN2UxNTZkNWQ3YmRhZGZkN2UzOWMxOGYxZTYzYzRhZTFjNDg0Mzk0ZTlmYjYwJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.KRuQxUv0cflT7ZDgAb2ePaK44sXCrAApwpEj-PY5I2Y)
- In contrast to the general baseline, there's a distinct pattern in the distribution of balances. While the baseline shows a decrease, the "whales" category initially experiences an increase before eventually declining.
- The data for Wales indicates a higher-than-average presence of mid-sized balances.
![Screenshot 2023-08-28 at 4 05 33 PM](https://private-user-images.githubusercontent.com/108412331/263678609-ce63a2a0-7a25-4da1-82ff-715b9eaca473.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTk2Nzc3NzQsIm5iZiI6MTcxOTY3NzQ3NCwicGF0aCI6Ii8xMDg0MTIzMzEvMjYzNjc4NjA5LWNlNjNhMmEwLTdhMjUtNGRhMS04MmZmLTcxNWI5ZWFjYTQ3My5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjI5JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYyOVQxNjExMTRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0xMzY1NTFkOGM0ZGE1N2I3MzQ5NjAzMTk1NWVmYTc0YTVkY2E4MjU1NGViNzRiNTBhNDBjNmZlMzZiNjZiMTU2JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.f_afW4B--7fo0uWtzTuLzY-_GZWL9pgajsUFkTR_wIQ)
#Groups #GeographicalRoles #CalculatedField #Highlighter #Clustering #KmeansClustering #CrossDatabaseJoin #ThreeDimensionalModeling #TrendLine
- Average Revenue per city, Average Marketing Spend per city, Average Revenue on marketing investment per city (Revenue / Marketing Spend).
- Top 10 New locations having the best potential for the company to invest more funds into marketing.
- https://sds-platform-private.s3-us-east-2.amazonaws.com/uploads/P1-StartupExpansion.xlsx
- https://sds-platform-private.s3-us-east-2.amazonaws.com/uploads/P1-US-Cities-Population.csv
- Region 2 has better returns on marketing spend compared to Region 1.
![Screenshot 2023-09-05 at 12 15 34 PM](https://private-user-images.githubusercontent.com/108412331/265609216-82297e16-03e0-4de6-a5c3-f17ccfe52360.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTk2Nzc3NzQsIm5iZiI6MTcxOTY3NzQ3NCwicGF0aCI6Ii8xMDg0MTIzMzEvMjY1NjA5MjE2LTgyMjk3ZTE2LTAzZTAtNGRlNi1hNWMzLWYxN2NjZmU1MjM2MC5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjI5JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYyOVQxNjExMTRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT03MzNhMDExYTQ3NzU0NWVhNGRkMDRjODVlMWRlOTU4M2FmNDc0MzVlZWRhMDI2ZmJkODFmNzQxY2RkMzBkMTBhJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.RQey70pRftPZxRo_j2gaVZS1ghL2VwZIAfrDSiR899Y)
- Two new cities are situated within the lower-clustered cities, characterized by high marketing expenses but relatively low revenue. Therefore, it is advisable to allocate investments towards the higher-clustered cities, where marketing expenditure is moderate and revenue is consistently above average.
![Screenshot 2023-09-05 at 3 04 30 PM](https://private-user-images.githubusercontent.com/108412331/265655614-40ab8428-3223-4786-a64e-9429359315a2.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTk2Nzc3NzQsIm5iZiI6MTcxOTY3NzQ3NCwicGF0aCI6Ii8xMDg0MTIzMzEvMjY1NjU1NjE0LTQwYWI4NDI4LTMyMjMtNDc4Ni1hNjRlLTk0MjkzNTkzMTVhMi5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjI5JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYyOVQxNjExMTRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT01NjJiYjg1NjM2NjExM2IyYWRmM2MzN2VkNWFkM2JkNzk4Mjg0NWVhYmM3MDE5ZDlkNmNjNWUyYWYzOTZkNDYzJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.YT3_tqdCmL50A_OFSl1bqX9iDLV5FaT6enVDE9xi7dE)
Refined our analysis by cross joining the 2nd Dataset (Population), now inference from 2nd Challenge.
- Red Trendline: With every dollar spent on marketing, the company generates revenue of $0.94. Consequently, in this cluster or group of cities, the company is operating at a loss.
![Screenshot 2023-09-06 at 2 36 28 PM](https://private-user-images.githubusercontent.com/108412331/265956616-de091a30-9874-4d01-a8a5-4386a6028c6f.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTk2Nzc3NzQsIm5iZiI6MTcxOTY3NzQ3NCwicGF0aCI6Ii8xMDg0MTIzMzEvMjY1OTU2NjE2LWRlMDkxYTMwLTk4NzQtNGQwMS1hOGE1LTQzODZhNjAyOGM2Zi5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjI5JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYyOVQxNjExMTRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0zNjkyMTg0ZmUyMDlmNjYxMTA0NzAyYjQ2YTk4ZDk2ZmUyZjMxMzE2N2RiMDM0ZWQ1NDlmNTkyMWI3ZWRhNDgzJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.bkbAnZAQ7mRJNe7Qho6IDWYKG46Kbq_usnmHdKb2PZ8)
- Orange Trendline: With every dollar spent on marketing, the company generates revenue of $7.32. Consequently, in this cluster or group of cities, the company is profitable.
![Screenshot 2023-09-06 at 2 36 48 PM](https://private-user-images.githubusercontent.com/108412331/265956662-57ee357a-46e2-49d8-9a19-9e89f5e4ed5b.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTk2Nzc3NzQsIm5iZiI6MTcxOTY3NzQ3NCwicGF0aCI6Ii8xMDg0MTIzMzEvMjY1OTU2NjYyLTU3ZWUzNTdhLTQ2ZTItNDlkOC05YTE5LTllODlmNWU0ZWQ1Yi5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjI5JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYyOVQxNjExMTRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT03OGZlYWVjNWExY2RlMDdlZWJiZWEyNDAxMDBmZGRjMGEyZmJmZDk1ZDJmNmZmZGMzMmU1MWFkNzk2MzkxZWFjJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.HtbOFK25wd21n1QIPbTwE1kM_IDeMmP6ANtEaKupeLs)
- Blue Trendline: With every dollar spent on marketing, the company generates revenue of $3.17. Consequently, in this cluster or group of cities, the company is profitable.
![Screenshot 2023-09-06 at 2 37 00 PM](https://private-user-images.githubusercontent.com/108412331/265956700-981a1adc-3cd6-48a1-8b26-836e4240fa03.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTk2Nzc3NzQsIm5iZiI6MTcxOTY3NzQ3NCwicGF0aCI6Ii8xMDg0MTIzMzEvMjY1OTU2NzAwLTk4MWExYWRjLTNjZDYtNDhhMS04YjI2LTgzNmU0MjQwZmEwMy5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjI5JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYyOVQxNjExMTRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1mY2FlNTQ2OTVmMjZhMjgwNzRmNWQyYTI0MzlkYzE1ODQ4NDFhOTdkZmVlNTMzN2NiOWNkN2RlOGE4Mzc4NGYzJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.-wANC9sK3_dVyqTJgQKNgk4JrOQWmINKoSRhtPa41OA)
- Recommend that WeWashUSleep increase its marketing efforts in three new orange cities: California, Illinois, and New Jersey.
#ImportSpacialDataFromOpenSourcePlatforms #ImportpdfFile #JoinSpacialPdf #CleanData #RemoveDuplicates $CreategeographicalPolygons
- https://sds-platform-private.s3-us-east-2.amazonaws.com/uploads/P1-nyc-park-crime-stats-q1-2018.pdf
- https://sds-platform-private.s3-us-east-2.amazonaws.com/uploads/P1-NYC-Parks-and-Public-Spaces-Spatial-Files.zip
![Screenshot 2023-09-07 at 4 34 56 PM](https://private-user-images.githubusercontent.com/108412331/266296680-09b09af9-af4a-478c-a056-13f03f08fd74.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTk2Nzc3NzQsIm5iZiI6MTcxOTY3NzQ3NCwicGF0aCI6Ii8xMDg0MTIzMzEvMjY2Mjk2NjgwLTA5YjA5YWY5LWFmNGEtNDc4Yy1hMDU2LTEzZjAzZjA4ZmQ3NC5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjI5JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYyOVQxNjExMTRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT02M2UwODUxNzBkNTBkNmE0NTQ2NWFhNzE1NDQ1NmE4MGFlMjk3MjcxZWMxNWY4YzUyMThiMzY2OTYxNmVlMWVhJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.g_cuNypaUc1eca0a6C6-cnFdaU89Dl9mBxMukECiHSw)
#Filters #CalculatedFields #DataCleaning #RemoveDuplicates $TooltipVisualization
![Screenshot 2023-09-08 at 5 30 48 PM](https://private-user-images.githubusercontent.com/108412331/266604826-c71179d9-ce5d-487f-94d2-b601be64ec9a.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTk2Nzc3NzQsIm5iZiI6MTcxOTY3NzQ3NCwicGF0aCI6Ii8xMDg0MTIzMzEvMjY2NjA0ODI2LWM3MTE3OWQ5LWNlNWQtNDg3Zi05NGQyLWI2MDFiZTY0ZWM5YS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjI5JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYyOVQxNjExMTRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1jYjU1NjI5M2Q1N2JiOGIyOTdlYjlkYTVmZmUxYjA2ZGQ1OWI0NGZiMDgwZTM0YjczMGUyZmNjZTYwM2YwOWQ0JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.7kZH2gHP5PPqE6uLz1SoDahlXlgCxOWKDj609eWIECs)