My Visualizations to Challenges in the website
You can find more of my vizzes here
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?
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 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?
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?
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?