{"id":"9cab8beb","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

\"Google

\n

Let's take a look at the data, which consists of two files:

\n","metadata":{"dc":{"key":"4"},"tags":["context"],"editable":false,"deletable":false,"papermill":{"status":"completed","duration":0.009023,"end_time":"2021-12-17T00:07:14.170932","exception":false,"start_time":"2021-12-17T00:07:14.161909"},"run_control":{"frozen":true}},"cell_type":"markdown"} {"id":"0e082686","source":"# Read in dataset\nimport pandas as pd\napps_with_duplicates = pd.read_csv(\"datasets/apps.csv\")\n\n# Drop duplicates from apps_with_duplicates\napps = apps_with_duplicates.drop_duplicates()\n\n# Print the total number of apps\nprint('Total number of apps in the dataset = ', len(apps.index))\n\n# Have a look at a random sample of 5 rows\nprint(apps.head())","outputs":[{"name":"stdout","text":"Total number of apps in the dataset = 9659\n Unnamed: 0 App \\\n0 0 Photo Editor & Candy Camera & Grid & ScrapBook \n1 1 Coloring book moana \n2 2 U Launcher Lite – FREE Live Cool Themes, Hide ... \n3 3 Sketch - Draw & Paint \n4 4 Pixel Draw - Number Art Coloring Book \n\n Category Rating Reviews Size Installs Type Price \\\n0 ART_AND_DESIGN 4.1 159 19.0 10,000+ Free 0 \n1 ART_AND_DESIGN 3.9 967 14.0 500,000+ Free 0 \n2 ART_AND_DESIGN 4.7 87510 8.7 5,000,000+ Free 0 \n3 ART_AND_DESIGN 4.5 215644 25.0 50,000,000+ Free 0 \n4 ART_AND_DESIGN 4.3 967 2.8 100,000+ Free 0 \n\n Content Rating Genres Last Updated \\\n0 Everyone Art & Design January 7, 2018 \n1 Everyone Art & Design;Pretend Play January 15, 2018 \n2 Everyone Art & Design August 1, 2018 \n3 Teen Art & Design June 8, 2018 \n4 Everyone Art & Design;Creativity June 20, 2018 \n\n Current Ver Android Ver \n0 1.0.0 4.0.3 and up \n1 2.0.0 4.0.3 and up \n2 1.2.4 4.0.3 and up \n3 Varies with device 4.2 and up \n4 1.1 4.4 and up \n","output_type":"stream"}],"metadata":{"dc":{"key":"4"},"tags":["sample_code"],"execution":{"iopub.status.busy":"2021-12-17T00:07:14.234405Z","iopub.status.idle":"2021-12-17T00:07:14.608125Z","iopub.execute_input":"2021-12-17T00:07:14.234819Z","shell.execute_reply":"2021-12-17T00:07:14.608455Z"},"papermill":{"status":"completed","duration":0.38859,"end_time":"2021-12-17T00:07:14.608648","exception":false,"start_time":"2021-12-17T00:07:14.220058"}},"cell_type":"code","execution_count":1} {"id":"66c2971b","source":"## 2. Data cleaning\n

Data cleaning is one of the most essential subtask any data science project. Although it can be a very tedious process, it's worth should never be undermined.

\n

By looking at a random sample of the dataset rows (from the above task), we observe that some entries in the columns like Installs and Price have a few special characters (+ , $) due to the way the numbers have been represented. This prevents the columns from being purely numeric, making it difficult to use them in subsequent future mathematical calculations. Ideally, as their names suggest, we would want these columns to contain only digits from [0-9].

\n

Hence, we now proceed to clean our data. Specifically, the special characters , and + present in Installs column and $ present in Price column need to be removed.

\n

It is also always a good practice to print a summary of your dataframe after completing data cleaning. We will use the info() method to acheive this.

","metadata":{"dc":{"key":"11"},"tags":["context"],"editable":false,"deletable":false,"papermill":{"status":"completed","duration":0.008449,"end_time":"2021-12-17T00:07:14.685001","exception":false,"start_time":"2021-12-17T00:07:14.676552"},"run_control":{"frozen":true}},"cell_type":"markdown"} {"id":"d17c3a65","source":"# List of characters to remove\nchars_to_remove = ['+', ',', '$']\n# List of column names to clean\ncols_to_clean = ['Installs', 'Price']\n\n# Loop for each column in cols_to_clean\nfor col in cols_to_clean:\n # Loop for each char in chars_to_remove\n for char in chars_to_remove:\n # Replace the character with an empty string\n apps[col] = apps[col].apply(lambda x: x.replace(char, ''))\n \n# Print a summary of the apps dataframe\nprint(apps.info())","outputs":[{"name":"stdout","text":"\nInt64Index: 9659 entries, 0 to 9658\nData columns (total 14 columns):\n # Column Non-Null Count Dtype \n--- ------ -------------- ----- \n 0 Unnamed: 0 9659 non-null int64 \n 1 App 9659 non-null object \n 2 Category 9659 non-null object \n 3 Rating 8196 non-null float64\n 4 Reviews 9659 non-null int64 \n 5 Size 8432 non-null float64\n 6 Installs 9659 non-null object \n 7 Type 9659 non-null object \n 8 Price 9659 non-null object \n 9 Content Rating 9659 non-null object \n 10 Genres 9659 non-null object \n 11 Last Updated 9659 non-null object \n 12 Current Ver 9651 non-null object \n 13 Android Ver 9657 non-null object \ndtypes: float64(2), int64(2), object(10)\nmemory usage: 1.1+ MB\nNone\n","output_type":"stream"}],"metadata":{"dc":{"key":"11"},"tags":["sample_code"],"execution":{"iopub.status.busy":"2021-12-17T00:07:14.761288Z","iopub.status.idle":"2021-12-17T00:07:14.779748Z","iopub.execute_input":"2021-12-17T00:07:14.763120Z","shell.execute_reply":"2021-12-17T00:07:14.780076Z"},"papermill":{"status":"completed","duration":0.037105,"end_time":"2021-12-17T00:07:14.780177","exception":false,"start_time":"2021-12-17T00:07:14.743072"}},"cell_type":"code","execution_count":2} {"id":"01f3ae9c","source":"## 3. Correcting data types\n

From the previous task we noticed that Installs and Price were categorized as object data type (and not int or float) as we would like. This is because these two columns originally had mixed input types: digits and special characters. To know more about Pandas data types, read this.

\n

The four features that we will be working with most frequently henceforth are Installs, Size, Rating and Price. While Size and Rating are both float (i.e. purely numerical data types), we still need to work on Installs and Price to make them numeric.

","metadata":{"dc":{"key":"18"},"tags":["context"],"editable":false,"deletable":false,"papermill":{"status":"completed","duration":0.008923,"end_time":"2021-12-17T00:07:14.842013","exception":false,"start_time":"2021-12-17T00:07:14.833090"},"run_control":{"frozen":true}},"cell_type":"markdown"} {"id":"ace8ef7e","source":"import numpy as np\n\n# Convert Installs to float data type\napps['Installs'] = apps['Installs'].astype('float')\n\n# Convert Price to float data type\napps['Price'] = apps['Price'].astype('float')\n\n# Checking dtypes of the apps dataframe\nprint(apps.info())","outputs":[{"name":"stdout","text":"\nInt64Index: 9659 entries, 0 to 9658\nData columns (total 14 columns):\n # Column Non-Null Count Dtype \n--- ------ -------------- ----- \n 0 Unnamed: 0 9659 non-null int64 \n 1 App 9659 non-null object \n 2 Category 9659 non-null object \n 3 Rating 8196 non-null float64\n 4 Reviews 9659 non-null int64 \n 5 Size 8432 non-null float64\n 6 Installs 9659 non-null float64\n 7 Type 9659 non-null object \n 8 Price 9659 non-null float64\n 9 Content Rating 9659 non-null object \n 10 Genres 9659 non-null object \n 11 Last Updated 9659 non-null object \n 12 Current Ver 9651 non-null object \n 13 Android Ver 9657 non-null object \ndtypes: float64(4), int64(2), object(8)\nmemory usage: 1.1+ MB\nNone\n","output_type":"stream"}],"metadata":{"dc":{"key":"18"},"tags":["sample_code"],"execution":{"iopub.status.busy":"2021-12-17T00:07:14.906095Z","iopub.status.idle":"2021-12-17T00:07:14.919360Z","iopub.execute_input":"2021-12-17T00:07:14.906501Z","shell.execute_reply":"2021-12-17T00:07:14.918956Z"},"papermill":{"status":"completed","duration":0.026135,"end_time":"2021-12-17T00:07:14.919446","exception":false,"start_time":"2021-12-17T00:07:14.893311"}},"cell_type":"code","execution_count":3} {"id":"12ed80fa","source":"## 4. 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:

\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":"25"},"tags":["context"],"editable":false,"deletable":false,"papermill":{"status":"completed","duration":0.009024,"end_time":"2021-12-17T00:07:15.031367","exception":false,"start_time":"2021-12-17T00:07:15.022343"},"run_control":{"frozen":true}},"cell_type":"markdown"} {"id":"3bdbda39","source":"import plotly\nplotly.offline.init_notebook_mode(connected=True)\nimport plotly.graph_objs as go\n\n# Print the total number of unique categories\nnum_categories = apps['Category'].nunique()\nprint('Number of categories = ', num_categories)\n\n# Count the number of apps in each 'Category'. \nnum_apps_in_category = apps['Category'].value_counts()\n\n# Sort num_apps_in_category in descending order based on the count of apps in each category\nsorted_num_apps_in_category = num_apps_in_category.sort_values(ascending=False)\n\ndata = [go.Bar(\n x = num_apps_in_category.index, # index = category name\n y = num_apps_in_category.values, # value = count\n)]\n\nplotly.offline.iplot(data)","outputs":[{"data":{"text/html":" \n "},"metadata":{},"output_type":"display_data"},{"name":"stdout","text":"Number of categories = 33\n","output_type":"stream"},{"data":{"text/html":"
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{"id":"51a4042f","source":"## 5. 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 left indicating that the majority of the apps are highly rated with only a few exceptions in the low-rated apps.

","metadata":{"dc":{"key":"32"},"tags":["context"],"editable":false,"deletable":false,"papermill":{"status":"completed","duration":0.013157,"end_time":"2021-12-17T00:07:15.402828","exception":false,"start_time":"2021-12-17T00:07:15.389671"},"run_control":{"frozen":true}},"cell_type":"markdown"} {"id":"8971c012","source":"# Average rating of apps\navg_app_rating = apps['Rating'].mean()\nprint('Average app rating = ', avg_app_rating)\n\n# Distribution of apps according to their ratings\ndata = [go.Histogram(\n x = apps['Rating']\n)]\n\n# Vertical dashed line to indicate the average app rating\nlayout = {'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\nplotly.offline.iplot({'data': data, 'layout': layout})","outputs":[{"name":"stdout","text":"Average app rating = 4.173243045387994\n","output_type":"stream"},{"data":{"text/html":"
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{"id":"638e00b0","source":"## 6. 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

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":"39"},"tags":["context"],"editable":false,"deletable":false,"papermill":{"status":"completed","duration":0.030325,"end_time":"2021-12-17T00:07:15.625591","exception":false,"start_time":"2021-12-17T00:07:15.595266"},"run_control":{"frozen":true}},"cell_type":"markdown"} {"id":"fef5e735","source":"%matplotlib inline\nimport seaborn as sns\nsns.set_style(\"darkgrid\")\nimport warnings\nwarnings.filterwarnings(\"ignore\")\n\n# Select rows where both 'Rating' and 'Size' values are present (ie. the two values are not null)\napps_with_size_and_rating_present = apps.dropna(subset=['Rating', 'Size'])\n\n# Subset for categories with at least 250 apps\nlarge_categories = apps_with_size_and_rating_present.groupby('Category').filter(lambda x: len(x) >= 250)\n\n# Plot size vs. rating\nplt1 = sns.jointplot(x = large_categories['Size'], y = large_categories['Rating'])\n\n# Select apps whose 'Type' is 'Paid'\npaid_apps = apps_with_size_and_rating_present[\n apps_with_size_and_rating_present['Type'] == 'Paid']\n\n# Plot price vs. rating\nplt2 = sns.jointplot(x = paid_apps['Price'], y = paid_apps['Rating'])","outputs":[{"data":{"image/png":"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\n","text/plain":"
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\n","text/plain":"
"},"metadata":{},"output_type":"display_data"}],"metadata":{"dc":{"key":"39"},"tags":["sample_code"],"execution":{"iopub.status.busy":"2021-12-17T00:07:15.726542Z","iopub.status.idle":"2021-12-17T00:07:20.163691Z","iopub.execute_input":"2021-12-17T00:07:15.726957Z","shell.execute_reply":"2021-12-17T00:07:20.164056Z"},"papermill":{"status":"completed","duration":4.472452,"end_time":"2021-12-17T00:07:20.164213","exception":false,"start_time":"2021-12-17T00:07:15.691761"}},"cell_type":"code","execution_count":6} {"id":"59382011","source":"## 7. Relation between app category and app price\n

So now comes the hard part. How are companies and developers supposed to make ends meet? What monetization strategies can companies use to maximize profit? The costs of apps are largely based on features, complexity, and platform.

\n

There are many factors to consider when selecting the right pricing strategy for your mobile app. It is important to consider the willingness of your customer to pay for your app. A wrong price could break the deal before the download even happens. Potential customers could be turned off by what they perceive to be a shocking cost, or they might delete an app they’ve downloaded after receiving too many ads or simply not getting their money's worth.

\n

Different categories demand different price ranges. Some apps that are simple and used daily, like the calculator app, should probably be kept free. However, it would make sense to charge for a highly-specialized medical app that diagnoses diabetic patients. Below, we see that Medical and Family apps are the most expensive. Some medical apps extend even up to \\$80! All game apps are reasonably priced below \\$20.

","metadata":{"dc":{"key":"46"},"tags":["context"],"editable":false,"deletable":false,"papermill":{"status":"completed","duration":0.032191,"end_time":"2021-12-17T00:07:20.296318","exception":false,"start_time":"2021-12-17T00:07:20.264127"},"run_control":{"frozen":true}},"cell_type":"markdown"} {"id":"06fafa10","source":"import matplotlib.pyplot as plt\nfig, ax = plt.subplots()\nfig.set_size_inches(15, 8)\n\n# Select a few popular app categories\npopular_app_cats = apps[apps.Category.isin(['GAME', 'FAMILY', 'PHOTOGRAPHY',\n 'MEDICAL', 'TOOLS', 'FINANCE',\n 'LIFESTYLE','BUSINESS'])]\n\n# Examine the price trend by plotting Price vs Category\nax = sns.stripplot(x = popular_app_cats['Price'], y = popular_app_cats['Category'], jitter=True, linewidth=1)\nax.set_title('App pricing trend across categories')\n\n# Apps whose Price is greater than 200\napps_above_200 = apps[apps['Price'] > 200]\napps_above_200[['Category', 'App', 'Price']]","outputs":[{"data":{"text/html":"
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CategoryAppPrice
3327FAMILYmost expensive app (H)399.99
3465LIFESTYLE💎 I'm rich399.99
3469LIFESTYLEI'm Rich - Trump Edition400.00
4396LIFESTYLEI am rich399.99
4398FAMILYI am Rich Plus399.99
4399LIFESTYLEI am rich VIP299.99
4400FINANCEI Am Rich Premium399.99
4401LIFESTYLEI am extremely Rich379.99
4402FINANCEI am Rich!399.99
4403FINANCEI am rich(premium)399.99
4406FAMILYI Am Rich Pro399.99
4408FINANCEI am rich (Most expensive app)399.99
4410FAMILYI Am Rich389.99
4413FINANCEI am Rich399.99
4417FINANCEI AM RICH PRO PLUS399.99
8763FINANCEEu Sou Rico394.99
8780LIFESTYLEI'm Rich/Eu sou Rico/أنا غني/我很有錢399.99
\n
","text/plain":" Category App Price\n3327 FAMILY most expensive app (H) 399.99\n3465 LIFESTYLE 💎 I'm rich 399.99\n3469 LIFESTYLE I'm Rich - Trump Edition 400.00\n4396 LIFESTYLE I am rich 399.99\n4398 FAMILY I am Rich Plus 399.99\n4399 LIFESTYLE I am rich VIP 299.99\n4400 FINANCE I Am Rich Premium 399.99\n4401 LIFESTYLE I am extremely Rich 379.99\n4402 FINANCE I am Rich! 399.99\n4403 FINANCE I am rich(premium) 399.99\n4406 FAMILY I Am Rich Pro 399.99\n4408 FINANCE I am rich (Most expensive app) 399.99\n4410 FAMILY I Am Rich 389.99\n4413 FINANCE I am Rich 399.99\n4417 FINANCE I AM RICH PRO PLUS 399.99\n8763 FINANCE Eu Sou Rico 394.99\n8780 LIFESTYLE I'm Rich/Eu sou Rico/أنا غني/我很有錢 399.99"},"metadata":{},"output_type":"execute_result","execution_count":7},{"data":{"image/png":"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\n","text/plain":"
"},"metadata":{},"output_type":"display_data"}],"metadata":{"dc":{"key":"46"},"tags":["sample_code"],"execution":{"iopub.status.busy":"2021-12-17T00:07:20.423389Z","iopub.status.idle":"2021-12-17T00:07:20.812839Z","iopub.execute_input":"2021-12-17T00:07:20.423804Z","shell.execute_reply":"2021-12-17T00:07:20.813166Z"},"papermill":{"status":"completed","duration":0.439404,"end_time":"2021-12-17T00:07:20.813289","exception":false,"start_time":"2021-12-17T00:07:20.373885"}},"cell_type":"code","execution_count":7} {"id":"38952b92","source":"## 8. Filter out \"junk\" apps\n

It looks like a bunch of the really expensive apps are \"junk\" apps. That is, apps that don't really have a purpose. Some app developer may create an app called I Am Rich Premium or most expensive app (H) just for a joke or to test their app development skills. Some developers even do this with malicious intent and try to make money by hoping people accidentally click purchase on their app in the store.

\n

Let's filter out these junk apps and re-do our visualization.

","metadata":{"dc":{"key":"53"},"tags":["context"],"editable":false,"deletable":false,"papermill":{"status":"completed","duration":0.034319,"end_time":"2021-12-17T00:07:20.938202","exception":false,"start_time":"2021-12-17T00:07:20.903883"},"run_control":{"frozen":true}},"cell_type":"markdown"} {"id":"a17ec1a2","source":"# Select apps priced below $100\napps_under_100 = popular_app_cats[popular_app_cats['Price'] < 100]\n\nfig, ax = plt.subplots()\nfig.set_size_inches(15, 8)\n\n# Examine price vs category with the authentic apps (apps_under_100)\nax = sns.stripplot(x = 'Price', y = 'Category', data = apps_under_100, jitter = True, linewidth = 1)\nax.set_title('App pricing trend across categories after filtering for junk apps')","outputs":[{"data":{"text/plain":"Text(0.5, 1.0, 'App pricing trend across categories after filtering for junk apps')"},"metadata":{},"output_type":"execute_result","execution_count":8},{"data":{"image/png":"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\n","text/plain":"
"},"metadata":{},"output_type":"display_data"}],"metadata":{"dc":{"key":"53"},"tags":["sample_code"],"execution":{"iopub.status.busy":"2021-12-17T00:07:21.066631Z","iopub.status.idle":"2021-12-17T00:07:21.413712Z","iopub.execute_input":"2021-12-17T00:07:21.067048Z","shell.execute_reply":"2021-12-17T00:07:21.413268Z"},"papermill":{"status":"completed","duration":0.384858,"end_time":"2021-12-17T00:07:21.413813","exception":false,"start_time":"2021-12-17T00:07:21.028955"}},"cell_type":"code","execution_count":8} {"id":"ed07581f","source":"## 9. Popularity of paid apps vs free apps\n

For apps in the Play Store today, there are five types of pricing strategies: free, freemium, paid, paymium, and subscription. Let's focus on free and paid apps only. Some characteristics of free apps are:

\n
    \n
  • Free to download.
    • \n
  • Main source of income often comes from advertisements.
    • \n
  • Often created by companies that have other products and the app serves as an extension of those products.
    • \n
  • Can serve as a tool for customer retention, communication, and customer service.
    • \n
\n

Some characteristics of paid apps are:

\n
    \n
  • Users are asked to pay once for the app to download and use it.
    • \n
  • The user can't really get a feel for the app before buying it.
    • \n
\n

Are paid apps installed as much as free apps? It turns out that paid apps have a relatively lower number of installs than free apps, though the difference is not as stark as I would have expected!

","metadata":{"dc":{"key":"60"},"tags":["context"],"editable":false,"deletable":false,"papermill":{"status":"completed","duration":0.03576,"end_time":"2021-12-17T00:07:21.524305","exception":false,"start_time":"2021-12-17T00:07:21.488545"},"run_control":{"frozen":true}},"cell_type":"markdown"} {"id":"a8d700ae","source":"trace0 = go.Box(\n # Data for paid apps\n y = apps[apps['Type'] == 'Paid']['Installs'],\n name = 'Paid'\n)\n\ntrace1 = go.Box(\n # Data for free apps\n y = apps[apps['Type'] == 'Free']['Installs'],\n name = 'Free'\n)\n\nlayout = go.Layout(\n title = \"Number of downloads of paid apps vs. free apps\",\n yaxis = dict(title = \"Log number of downloads\",\n type = 'log',\n autorange = True)\n)\n\n# Add trace0 and trace1 to a list for plotting\ndata = [trace0, trace1]\nplotly.offline.iplot({'data': data, 'layout': layout})","outputs":[{"data":{"text/html":"
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{"id":"773af051","source":"## 10. Sentiment analysis of user reviews\n

Mining user review data to determine how people feel about your product, brand, or service can be done using a technique called sentiment analysis. User reviews for apps can be analyzed to identify if the mood is positive, negative or neutral about that app. For example, positive words in an app review might include words such as 'amazing', 'friendly', 'good', 'great', and 'love'. Negative words might be words like 'malware', 'hate', 'problem', 'refund', and 'incompetent'.

\n

By plotting sentiment polarity scores of user reviews for paid and free apps, we observe that free apps receive a lot of harsh comments, as indicated by the outliers on the negative y-axis. Reviews for paid apps appear never to be extremely negative. This may indicate something about app quality, i.e., paid apps being of higher quality than free apps on average. The median polarity score for paid apps is a little higher than free apps, thereby syncing with our previous observation.

\n

In this notebook, we analyzed over ten thousand apps from the Google Play Store. We can use our findings to inform our decisions should we ever wish to create an app ourselves.

","metadata":{"dc":{"key":"67"},"tags":["context"],"editable":false,"deletable":false,"papermill":{"status":"completed","duration":0.053849,"end_time":"2021-12-17T00:07:21.853774","exception":false,"start_time":"2021-12-17T00:07:21.799925"},"run_control":{"frozen":true}},"cell_type":"markdown"} {"id":"24955b0c","source":"# Load user_reviews.csv\nreviews_df = pd.read_csv('datasets/user_reviews.csv')\n\n# Join the two dataframes\nmerged_df = apps.merge(reviews_df)\n\n# Drop NA values from Sentiment and Review columns\nmerged_df = merged_df.dropna(subset = ['Sentiment', 'Review'])\n\nsns.set_style('ticks')\nfig, ax = plt.subplots()\nfig.set_size_inches(11, 8)\n\n# User review sentiment polarity for paid vs. free apps\nax = sns.boxplot(x = 'Type', y = 'Sentiment_Polarity', data = merged_df)\nax.set_title('Sentiment Polarity Distribution')","outputs":[{"data":{"text/plain":"Text(0.5, 1.0, 'Sentiment Polarity Distribution')"},"metadata":{},"output_type":"execute_result","execution_count":10},{"data":{"image/png":"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\n","text/plain":"
"},"metadata":{},"output_type":"display_data"}],"metadata":{"dc":{"key":"67"},"tags":["sample_code"],"execution":{"iopub.status.busy":"2021-12-17T00:07:22.007946Z","iopub.status.idle":"2021-12-17T00:07:22.466318Z","iopub.execute_input":"2021-12-17T00:07:22.008647Z","shell.execute_reply":"2021-12-17T00:07:22.466663Z"},"papermill":{"status":"completed","duration":0.5183,"end_time":"2021-12-17T00:07:22.466787","exception":false,"start_time":"2021-12-17T00:07:21.948487"}},"cell_type":"code","execution_count":10}