Dive into our latest exploratory data analysis where we unveil the dynamic stock performance of Netflix. Leveraging interactive visualizations, we dissect key trading metrics—opening and closing prices, trading volumes, and daily percentage changes—to offer a comprehensive view of Netflix's market behavior. This analysis not only highlights the stock's volatility but also its growth potential, providing valuable insights for investors and market watchers alike. Check out the full analysis for a deeper dive into what drives Netflix's stock performance.

1. Exploratory Data
Analysis of Netflix
Stock Performance

2. Introduction
• Welcome to our presentation on "Exploratory Data Analysis of Netflix
Stock Performance." Today, we will delve into the historical stock data of
Netflix, uncovering insights into its trading behavior. Our analysis includes
a detailed examination of the stock's opening and closing prices, the
highest and lowest prices, trading volumes, and the daily percentage
changes.
• Through a series of visualizations, we have captured the volatility,
trading patterns, and price trends that characterize Netflix's presence in
the stock market. This presentation aims to provide stakeholders with a
data-driven basis for understanding the market dynamics of Netflix's stock
and to aid in strategic decision-making.
• Let's begin by exploring the patterns and insights that the data reveals
about Netflix's stock performance.

4. • This histogram presents the distribution of the 'High'
prices for Netflix's stock. From the visualization, we can
observe the following:
• Multi-modal Distribution: The data appears to have
multiple peaks, suggesting that there are several price
ranges where the stock frequently traded at its highest
point during the day.
• Price Concentration: The highest frequency of 'High'
prices is concentrated in the lower to mid-price ranges.
There are fewer occurrences of very high prices, indicating
that while the stock does reach higher price points, it does
so less frequently.
• Volatility Indication: The spread of the distribution
indicates volatility in the stock's high prices. The wider the
spread, the more variability in the stock’s high price from
day to day.
• Range: The 'High' prices range from just above $200 to
around $700, with most of the data clustering around the
$300 to $500 range.
• This analysis provides stakeholders with insights into
the stock's price behavior, highlighting potential levels of
resistance where the stock price struggles to rise above.

6. This histogram represents the distribution of the lowest
daily prices (Low) for Netflix's stock. Key observations
from the graph include:
• Multi-modal Distribution: The data exhibits several
peaks, suggesting that the stock's low price has various
levels at which it stabilizes or encounters support
throughout the observed period.
• Concentration of Prices: Most of the low price's cluster
within the mid-price ranges, with fewer occurrences of
extremely low prices, indicating that the stock maintains a
certain level above lower price points.
• Spread of Prices: The spread of the distribution reflects
the stock's volatility at its low points, with a range
extending from around $200 to $700.
• Frequent Low-Price Range: The most frequent low-
price ranges appear to be around the $300 to $400 mark,
and another concentration around the $500 mark,
suggesting these are common levels where the stock price
tends to find a bottom during the trading sessions.
This graph provides stakeholders with an understanding of
where the stock price typically finds support during
market downtrends.

8. This histogram shows the distribution of Netflix's closing
stock prices. Key takeaways include:
• Multi-modal Distribution: There are multiple peaks,
indicating that the closing price often settles at several
distinct levels.
• Price Concentration: A significant number of closing
prices are concentrated around the mid-price ranges,
suggesting these are common levels at which the stock
ends the trading day.
• Range and Spread: The closing prices range from
slightly over $200 to nearly $700, with the bulk of prices
distributed between approximately $300 and $500. This
range indicates the stock's volatility and the breadth of
its price movements over the period captured.
• Volatility Insight: The spread and shape of the
distribution provide insight into the stock's stability and
volatility. A wider spread suggests greater price
variability at closing.
This information is crucial for stakeholders to understand
the stock's performance, particularly in terms of the
regularity of closing prices within specific ranges.

10. This histogram displays the distribution of trading volumes
for Netflix's stock, with the following key observations:
• Right-Skewed Distribution: The histogram shows a
right-skewed distribution, indicating that most trading days
have a relatively lower volume, with fewer days
experiencing very high trading volumes.
• Volume Concentration: The majority of the trading
volume values are concentrated on the lower end of the
spectrum, which suggests that on most days, the stock
trades within a more modest volume range.
• Outliers and Peaks: There are occasional spikes in
volume, which could be associated with specific events or
announcements that cause a surge in trading activity.
This data is valuable for stakeholders to understand the
typical and atypical trading volumes, which could influence
liquidity and price stability assessments.

12. This histogram illustrates the distribution of daily
percentage changes in the closing prices of Netflix's stock.
Here are the key observations:
• Central Tendency: The distribution is centered around
the zero mark, indicating that there are as many days with
positive changes as there are with negative ones.
• Volatility: The spread of the data points reflects the
volatility in the daily price changes. The presence of data
points farther from the mean suggests days with significant
price movements.
• Normality: The shape of the distribution appears to be
roughly normal, which is typical for daily stock returns,
indicating random fluctuations in price.
• Mean: The mean of the daily percentage change is
marked by the red dashed line and is close to zero, which is
typical for daily returns over a long period.
This graph is useful for stakeholders to gauge the stock's
daily volatility and to set expectations for normal price
movements.

14. This scatter plot illustrates the relationship between the
opening and closing prices of Netflix's stock. The
following points summarize the analysis of this graph:
• Linear Relationship: There is a clear linear
relationship between the opening and closing prices,
indicating that they often move in tandem.
• Consistency: Many points lie along the line where the
opening and closing prices are equal, suggesting that
on numerous occasions, the stock closes at the same
price at which it opened.
• Price Movement: Points above the line indicate days
where the closing price was higher than the opening
price, and points below the line show days where the
stock closed lower than it opened.
• Volatility: The spread of points around the line
suggests variability in intraday price movements.
This graph is valuable for stakeholders to understand the
daily price movement and to identify patterns or trends
in the stock's opening and closing behavior.

15. Conclusion
• In conclusion, our exploratory data analysis has provided valuable
insights into Netflix's stock performance over the analyzed period. We
observed a multi-modal distribution in the stock's daily high and low
prices, a general consistency in opening and closing prices, and
identified typical ranges for the stock's trading volume.
• The volatility analysis through daily percentage changes highlighted
the stock's stability and potential risks, which are crucial for investors'
expectations. The data-driven approach presented here serves as a
foundation for understanding the past performance and can be a
guiding tool for future investment strategies.
• Our findings offer a comprehensive overview that stakeholders can
leverage to make informed decisions. Thank you for joining us in this
analytical journey through Netflix's stock market data.