diff --git a/android_app_market_on_google_play/android_app_market_on_google_play.ipynb b/android_app_market_on_google_play/android_app_market_on_google_play.ipynb
index bd6715e..eceb611 100644
--- a/android_app_market_on_google_play/android_app_market_on_google_play.ipynb
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@@ -1 +1 @@
-{"cells":[{"metadata":{"dc":{"key":"4"},"deletable":false,"editable":false,"run_control":{"frozen":true},"tags":["context"]},"cell_type":"markdown","source":["## 1. Google Play Store apps and reviews\n","
Mobile apps are everywhere. They are easy to create and can be lucrative. Because of these two factors, more and more apps are being developed. In this notebook, we will do a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. We'll look for insights in the data to devise strategies to drive growth and retention.
\n","
\n","
Let's take a look at the data, which consists of two files:
\n","
\n","
apps.csv: contains all the details of the applications on Google Play. There are 13 features that describe a given app.
\n","
user_reviews.csv: contains 100 reviews for each app, most helpful first. The text in each review has been pre-processed and attributed with three new features: Sentiment (Positive, Negative or Neutral), Sentiment Polarity and Sentiment Subjectivity.
\n","
"]},{"metadata":{"dc":{"key":"4"},"tags":["sample_code"],"trusted":true},"cell_type":"code","source":["# Read in dataset\n","import pandas as pd\n","apps_with_duplicates = pd.read_csv(\"datasets/apps.csv\")\n","apps_with_duplicates.head()\n","\n","# Drop duplicates\n","apps = apps_with_duplicates.drop_duplicates(subset=\"App\")\n","\n","# Print the total number of apps\n","print('Total number of apps in the dataset = ', apps.shape[0])\n","\n","# Have a look at a random sample of 5 rows\n","n = 5\n","apps.sample(n)"],"execution_count":10,"outputs":[{"output_type":"stream","name":"stdout","text":"Total number of apps in the dataset = 9659\n"},{"output_type":"execute_result","data":{"text/plain":" Unnamed: 0 App Category Rating Reviews Size \\\n7153 8227 DB Customer Connect BUSINESS 4.2 100 6.3M \n2549 3277 DuraSpeed TOOLS 3.8 5431 1.3M \n5416 6425 BL 1-Click Camera PHOTOGRAPHY NaN 4 1.4M \n3387 4273 J. Polep Plus Mobile PRODUCTIVITY NaN 0 44M \n4764 5748 Digital Clock AW-7 TOOLS 4.1 484 2.9M \n\n Installs Type Price Content Rating Genres \\\n7153 10,000+ Free 0 Everyone Business \n2549 10,000,000+ Free 0 Everyone Tools \n5416 100+ Paid $3.99 Everyone Photography \n3387 100+ Free 0 Everyone Productivity \n4764 100,000+ Free 0 Everyone Tools \n\n Last Updated Current Ver Android Ver \n7153 July 21, 2018 2.0.0 4.1 and up \n2549 November 13, 2017 1.5.0 6.0 and up \n5416 August 18, 2016 2.0.160818 2.3 and up \n3387 March 26, 2018 1.1.4 5.0 and up \n4764 March 6, 2018 2.0 4.3 and up ","text/html":"
\n\n
\n \n
\n
\n
Unnamed: 0
\n
App
\n
Category
\n
Rating
\n
Reviews
\n
Size
\n
Installs
\n
Type
\n
Price
\n
Content Rating
\n
Genres
\n
Last Updated
\n
Current Ver
\n
Android Ver
\n
\n \n \n
\n
7153
\n
8227
\n
DB Customer Connect
\n
BUSINESS
\n
4.2
\n
100
\n
6.3M
\n
10,000+
\n
Free
\n
0
\n
Everyone
\n
Business
\n
July 21, 2018
\n
2.0.0
\n
4.1 and up
\n
\n
\n
2549
\n
3277
\n
DuraSpeed
\n
TOOLS
\n
3.8
\n
5431
\n
1.3M
\n
10,000,000+
\n
Free
\n
0
\n
Everyone
\n
Tools
\n
November 13, 2017
\n
1.5.0
\n
6.0 and up
\n
\n
\n
5416
\n
6425
\n
BL 1-Click Camera
\n
PHOTOGRAPHY
\n
NaN
\n
4
\n
1.4M
\n
100+
\n
Paid
\n
$3.99
\n
Everyone
\n
Photography
\n
August 18, 2016
\n
2.0.160818
\n
2.3 and up
\n
\n
\n
3387
\n
4273
\n
J. Polep Plus Mobile
\n
PRODUCTIVITY
\n
NaN
\n
0
\n
44M
\n
100+
\n
Free
\n
0
\n
Everyone
\n
Productivity
\n
March 26, 2018
\n
1.1.4
\n
5.0 and up
\n
\n
\n
4764
\n
5748
\n
Digital Clock AW-7
\n
TOOLS
\n
4.1
\n
484
\n
2.9M
\n
100,000+
\n
Free
\n
0
\n
Everyone
\n
Tools
\n
March 6, 2018
\n
2.0
\n
4.3 and up
\n
\n \n
\n
"},"metadata":{},"execution_count":10}]},{"metadata":{"dc":{"key":"11"},"deletable":false,"editable":false,"run_control":{"frozen":true},"tags":["context"]},"cell_type":"markdown","source":["## 2. Data cleaning\n","
The three features that we will be working with most frequently henceforth are Installs, Size, and Price. A careful glance of the dataset reveals that some of these columns mandate data cleaning in order to be consumed by code we'll write later. Specifically, the presence of special characters (, $ +) and letters (M k) in the Installs, Size, and Price columns make their conversion to a numerical data type difficult. Let's clean by removing these and converting each column to a numeric type.
"]},{"metadata":{"dc":{"key":"11"},"tags":["sample_code"],"trusted":true},"cell_type":"code","source":["# List of characters to remove\n","chars_to_remove = ['+', ',', 'M', '$']\n","# List of column names to clean\n","cols_to_clean = ['Installs', 'Size', 'Price']\n","\n","# Loop for each column\n","for col in cols_to_clean:\n"," # Replace each character with an empty string\n"," for char in chars_to_remove:\n"," apps[col] = apps[col].str.replace(char, '')\n"," # Convert col to numeric\n"," apps[col] = pd.to_numeric(apps[col]) "],"execution_count":11,"outputs":[]},{"metadata":{"dc":{"key":"18"},"deletable":false,"editable":false,"run_control":{"frozen":true},"tags":["context"]},"cell_type":"markdown","source":["## 3. Exploring app categories\n","
With more than 1 billion active users in 190 countries around the world, Google Play continues to be an important distribution platform to build a global audience. For businesses to get their apps in front of users, it's important to make them more quickly and easily discoverable on Google Play. To improve the overall search experience, Google has introduced the concept of grouping apps into categories.
\n","
This brings us to the following questions:
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\n","
Which category has the highest share of (active) apps in the market?
\n","
Is any specific category dominating the market?
\n","
Which categories have the fewest number of apps?
\n","
\n","
We will see that there are 33 unique app categories present in our dataset. Family and Game apps have the highest market prevalence. Interestingly, Tools, Business and Medical apps are also at the top.
"]},{"metadata":{"dc":{"key":"18"},"tags":["sample_code"],"trusted":true},"cell_type":"code","source":["import plotly\n","plotly.offline.init_notebook_mode(connected=True)\n","import plotly.graph_objs as go\n","\n","# Print the total number of unique categories\n","num_categories = len(apps['Category'].unique())\n","print('Number of categories = ', num_categories)\n","\n","# Count the number of apps in each 'Category' and sort them in descending order\n","num_apps_in_category = apps['Category'].value_counts().sort_values(ascending = False)\n","\n","data = [go.Bar(\n"," x = num_apps_in_category.index, # index = category name\n"," y = num_apps_in_category.values, # value = count\n",")]\n","\n","plotly.offline.iplot(data)"],"execution_count":12,"outputs":[{"output_type":"display_data","data":{"text/html":" \n "},"metadata":{}},{"output_type":"stream","name":"stdout","text":"Number of categories = 33\n"},{"output_type":"display_data","data":{"application/vnd.plotly.v1+json":{"config":{"linkText":"Export to 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\n \n \n \n \n
"},"metadata":{}}]},{"metadata":{"dc":{"key":"25"},"deletable":false,"editable":false,"run_control":{"frozen":true},"tags":["context"]},"cell_type":"markdown","source":["## 4. Distribution of app ratings\n","
After having witnessed the market share for each category of apps, let's see how all these apps perform on an average. App ratings (on a scale of 1 to 5) impact the discoverability, conversion of apps as well as the company's overall brand image. Ratings are a key performance indicator of an app.
\n","
From our research, we found that the average volume of ratings across all app categories is 4.17. The histogram plot is skewed to the right indicating that the majority of the apps are highly rated with only a few exceptions in the low-rated apps.
"]},{"metadata":{"dc":{"key":"25"},"tags":["sample_code"],"trusted":true},"cell_type":"code","source":["# Average rating of apps\n","avg_app_rating = apps['Rating'].mean()\n","print('Average app rating = ', avg_app_rating)\n","\n","# Distribution of apps according to their ratings\n","data = [go.Histogram(\n"," x = apps['Rating']\n",")]\n","\n","# Vertical dashed line to indicate the average app rating\n","layout = {'shapes': [{\n"," 'type' :'line',\n"," 'x0': avg_app_rating,\n"," 'y0': 0,\n"," 'x1': avg_app_rating,\n"," 'y1': 1000,\n"," 'line': { 'dash': 'dashdot'}\n"," }]\n"," }\n","\n","plotly.offline.iplot({'data': data, 'layout': layout})"],"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":"Average app rating = 4.173243045387994\n"},{"output_type":"display_data","data":{"application/vnd.plotly.v1+json":{"config":{"linkText":"Export to 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\n \n \n \n \n
"},"metadata":{}}]},{"metadata":{"dc":{"key":"32"},"deletable":false,"editable":false,"run_control":{"frozen":true},"tags":["context"]},"cell_type":"markdown","source":["## 5. Size and price of an app\n","
Let's now examine app size and app price. For size, if the mobile app is too large, it may be difficult and/or expensive for users to download. Lengthy download times could turn users off before they even experience your mobile app. Plus, each user's device has a finite amount of disk space. For price, some users expect their apps to be free or inexpensive. These problems compound if the developing world is part of your target market; especially due to internet speeds, earning power and exchange rates.
\n","
How can we effectively come up with strategies to size and price our app?
\n","
\n","
Does the size of an app affect its rating?
\n","
Do users really care about system-heavy apps or do they prefer light-weighted apps?
\n","
Does the price of an app affect its rating?
\n","
Do users always prefer free apps over paid apps?
\n","
\n","
We find that the majority of top rated apps (rating over 4) range from 2 MB to 20 MB. We also find that the vast majority of apps price themselves under \\$10.
"]},{"metadata":{"dc":{"key":"32"},"tags":["sample_code"],"trusted":true},"cell_type":"code","source":["%matplotlib inline\n","import seaborn as sns\n","sns.set_style(\"darkgrid\")\n","import warnings\n","warnings.filterwarnings(\"ignore\")\n","\n","# Plot size vs. rating\n","plt1 = sns.jointplot(x = apps['Size'], y = apps['Rating'], kind = 'hex')\n","\n","# Subset out apps whose type is 'Paid'\n","paid_apps = apps[apps['Type'] == 'Paid']\n","\n","# Plot price vs. rating\n","plt2 = sns.jointplot(x = paid_apps['Price'], y = paid_apps['Rating'])"],"execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":"","image/svg+xml":"\n\n\n\n","image/png":"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