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analysis_salaries_us

climate_change_action

In this story, I use Disability-Adjusted-Life-Years (DALY) Data from Kaggle to make this visualisation. Here, I've analysed the degree of impact countries in low, lower-middle, upper-middle and high income groups (according to World Bank Classification) face. The application of this is to highlight the need for greater reform in climate change.

data_cleaning_project_nashville_housing

This is a MySQL data cleaning project wherein I have removed multiple duplicates, deleted columns, standardised data values. Additionally, I created a profit made column to compute the profits made on different properties and I updated the table accordingly.

dcv_bostoncrime

This is a project that I did on Jupyter Notebook where I had to analyse missing data, correct misspellings, remove redundant to use reports from 2019. Moreover, I've analysed the following: a) What type of crimes are most prevalent? b) On which day is crime most reported? c) In which district is the reporting of the number of crimes the highest?

dognition_recommendations

I completed some visualisations as part of the exercises and projects that I did following a course by Duke University on Data Communication and Visualization using Tableau

energy_consumption_analysis-powerbi-

heart_failure_analysis

I made this dashboard on Tableau using dataset from kaggle at https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data

nutritional_deficiencies_analysis

substance_abuse

Analysis of Substance Abuse in the most prevalently reported as Top 5 in addiction worldwide- US, UK, Russia, Aghanistan, Iran. This also includes analysis of the correlation between substance abuse and other diseases like mental disorders, STDs and issues like self harm and interpersonal violence.

tb_burden_analysis

I created various dashboards to ascertain (a)Prevalence of all forms of TB across various countries divided into 6 regions, (b)Distribution of mortality, (c) Evaluation of Mortality (d)Comorbidities with HIV

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