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Diffstat (limited to 'blog/2020-07-20-video-game-sales.org')
| -rw-r--r-- | blog/2020-07-20-video-game-sales.org | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/blog/2020-07-20-video-game-sales.org b/blog/2020-07-20-video-game-sales.org index c86c320..4c5e8f4 100644 --- a/blog/2020-07-20-video-game-sales.org +++ b/blog/2020-07-20-video-game-sales.org @@ -38,7 +38,7 @@ df #+END_SRC #+CAPTION: Dataframe Results -[[https://img.0x4b1d.org/blog/20200720-data-exploration-video-game-sales/01_dataframe-min.png]] +[[https://img.cleberg.net/blog/20200720-data-exploration-video-game-sales/01_dataframe-min.png]] * Explore the Data @@ -48,7 +48,7 @@ df.describe() #+END_SRC #+CAPTION: df.describe() -[[https://img.0x4b1d.org/blog/20200720-data-exploration-video-game-sales/02_describe-min.png]] +[[https://img.cleberg.net/blog/20200720-data-exploration-video-game-sales/02_describe-min.png]] #+BEGIN_SRC python # This function shows the rows and columns of NaN values. For example, df[179,3] = nan @@ -66,7 +66,7 @@ sns.catplot(x='Platform', y='Global_Sales', data=df, jitter=False).set_xticklabe #+END_SRC #+CAPTION: Plot of Global Sales by Platform -[[https://img.0x4b1d.org/blog/20200720-data-exploration-video-game-sales/03_plot-min.png]] +[[https://img.cleberg.net/blog/20200720-data-exploration-video-game-sales/03_plot-min.png]] #+BEGIN_SRC python # This function plots the global sales by genre @@ -74,7 +74,7 @@ sns.catplot(x='Genre', y='Global_Sales', data=df, jitter=False).set_xticklabels( #+END_SRC #+CAPTION: Plot of Global Sales by Genre -[[https://img.0x4b1d.org/blog/20200720-data-exploration-video-game-sales/04_plot-min.png]] +[[https://img.cleberg.net/blog/20200720-data-exploration-video-game-sales/04_plot-min.png]] #+BEGIN_SRC python # This function plots the global sales by year @@ -82,7 +82,7 @@ sns.lmplot(x='Year', y='Global_Sales', data=df).set_xticklabels(rotation=45) #+END_SRC #+CAPTION: Plot of Global Sales by Year -[[https://img.0x4b1d.org/blog/20200720-data-exploration-video-game-sales/05_plot-min.png]] +[[https://img.cleberg.net/blog/20200720-data-exploration-video-game-sales/05_plot-min.png]] #+BEGIN_SRC python # This function plots four different lines to show sales from different regions. @@ -111,7 +111,7 @@ plt.show() #+END_SRC #+CAPTION: Plot of Regional Sales by Year -[[https://img.0x4b1d.org/blog/20200720-data-exploration-video-game-sales/06_plot-min.png]] +[[https://img.cleberg.net/blog/20200720-data-exploration-video-game-sales/06_plot-min.png]] * Investigate Outliers @@ -138,7 +138,7 @@ df3.describe() #+END_SRC #+CAPTION: Descriptive Statistics of 2006 Sales -[[https://img.0x4b1d.org/blog/20200720-data-exploration-video-game-sales/07_2006_stats-min.png]] +[[https://img.cleberg.net/blog/20200720-data-exploration-video-game-sales/07_2006_stats-min.png]] #+BEGIN_SRC python # Plot the results of the previous dataframe (games from 2006) - we can see the year's results were largely carried by Wii Sports @@ -146,7 +146,7 @@ sns.catplot(x="Genre", y="Global_Sales", data=df3, jitter=False).set_xticklabels #+END_SRC #+CAPTION: Plot of 2006 Sales -[[https://img.0x4b1d.org/blog/20200720-data-exploration-video-game-sales/08_plot-min.png]] +[[https://img.cleberg.net/blog/20200720-data-exploration-video-game-sales/08_plot-min.png]] #+BEGIN_SRC python # We can see 4 outliers in the graph above, so let's get the top 5 games from that dataframe @@ -155,7 +155,7 @@ df3.sort_values(by=['Global_Sales'], ascending=False).head(5) #+END_SRC #+CAPTION: Outliers of 2006 Sales -[[https://img.0x4b1d.org/blog/20200720-data-exploration-video-game-sales/09_outliers-min.png]] +[[https://img.cleberg.net/blog/20200720-data-exploration-video-game-sales/09_outliers-min.png]] * Discussion |