bhavanachitragar Goto Github PK
Name: BHAVANA C.R.
Type: User
Location: India
Name: BHAVANA C.R.
Type: User
Location: India
The two-tier architecture typically consists of a web tier and a database tier. The project emphasizes the use of custom Terraform modules to create and manage infrastructure components.
This project involves creating interactive dashboards to analyze sales data over a decade. The dashboard focuses on items types, displaying key metrics like total sales, sales trends by year, fat content distribution, and location type.
Working with pyspark module in python and using google colab environment in order to apply some queries to the dataset. The dataset consist of two csv files listening.csv and genre.csv. Also, visualizing query results using matplotlib.
This project uses AWS Lambda to fetch live weather data from an API and store it in DynamoDB. Changes in DynamoDB trigger another Lambda function to format and store the data in CSV files on Amazon S3. Snowflake then automatically ingests this data from S3 using Snowpipe for real-time analysis and visualization, ensuring efficient data processing
The Vinda Store Annual Report 2022 project involved cleaning and organizing sales data, including handling missing values, categorizing age groups, and removing duplicates. Pivot tables were created to summarize the data, which was then visualized through a comprehensive dashboard with interactive slicers for detailed analysis.
This project focuses on performing an end-to-end analysis of IPL data using Apache Spark on Databricks. It begins with setting up a Databricks environment, followed by ingesting and exploring the IPL dataset.
This project involves integrating live cricket score APIs into Power BI to enable real-time updates of match data. Data is fetched using Python in Power BI for cleaning and transformation. Within Power BI, DAX measures are created to calculate various cricket statistics like strike rate and economy, enhancing the dashboard's interactivity.
Simple demo file with different features of ajax and jquery
This Streamlit app is designed for Layoff Analysis. It allows users to explore and analyze layoff data from different perspectives, including overall analytics, country-specific insights, and individual company details.
This project involves retrieving and analyzing data from multiple database tables using various SQL join operations. It includes tasks such as using INNER, LEFT, and RIGHT JOINs, handling duplicates, and combining joins with WHERE clauses and aggregate functions. Additionally, it explores joining more than two tables to understand complex relations
PowerBI Report
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Some thing interesting about visualization, use data art
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China tencent open source team.