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My Visualizations to Challenges in the website

Home Page: https://public.tableau.com/profile/anurag.peddi/

License: GNU General Public License v3.0

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maven-analytics's Introduction

Maven Analytics

My Visualizations to Challenges in the website

You can find more of my vizzes here

Mexico Toy Sales

Sales & inventory data for a fictitious chain of toy stores in Mexico called Maven Toys, including information about products, stores, daily sales transactions, and current inventory levels at each location.

Recommended Analysis

  • Which product categories drive the biggest profits? Is this the same across store locations?
  • Can you find any seasonal trends or patterns in the sales data?
  • Are sales being lost with out-of-stock products at certain locations?
  • How much money is tied up in inventory at the toy stores? How long will it last?

Jordan & LeBron Career Stats

Career game-level data for Michael Jordan and LeBron James (through October 2020) during the regular season and playoffs, including date, age, team, minutes played, and assorted stats.

Recommended Analysis

  • How do their regular season per game and total stats compare? What about their playoff stats?
  • At what age did each player have their highest scoring season?
  • How does their distribution of points scored per game compare?
  • How have their win percentages trended by season? Who has a better win percentage in the playoffs?

Marketing Campaign Results

Marketing campaign data of 2,240 customers of Maven Marketing, including customer profiles, product preferences, campaign successes/failures, and channel performance.

Recommended Analysis

  • Are there any null values or outliers? How will you handle them?
  • What factors are significantly related to the number of web purchases?
  • Which marketing campaign was the most successful?
  • What does the average customer look like?
  • Which products are performing best?

New Year's Eve Resolutions

2015 New Year's Eve resolutions tweets. Each record represents a single tweet and contains information about the date & time, geographic location, original text, and resolution category of the tweet.

Recommended Analysis

  • What is the most popular resolution category? Least popular?
  • Which resolution category was retweeted the most? Least?
  • Using the tweet_created field, and rounding to the nearest hour, what was the most popular hour of day to tweet? How many resolutions were tweeted?
  • Using a map visual, what U.S. State tweeted the highest number of NYE resolutions?
  • Which channels are underperforming?

NYC Traffic Accidents

Motor vehicle collisions reported by the New York City Police Department from January-August 2020. Each record represents an individual collision, including the date, time and location of the accident (borough, zip code, street name, latitude/longitude), vehicles and victims involved, and contributing factors.

Recommended Analysis

  • Compare the % of total accidents by month. Do you notice any seasonal patterns?
  • Break down accident frequency by day of week and hour of day. Based on this data, when do accidents occur most frequently?
  • On which particular street were the most accidents reported? What does that represent as a % of all reported accidents?
  • What was the most common contributing factor for the accidents reported in this sample (based on Vehicle 1)? What about for fatal accidents specifically?

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