Zomato Analysis

Personal project in which I analyse Zomato data through NLP and Geospatial analysis. The project's Jupyter Notebook is uploaded above.

Language: Python

Packages/modules used:

• pandas
• numpy
• seaborn
• matplotlib.pyplot
• sqlite3
• nltk (FreqDist, bigrams, trigrams)
• nltk.corpus (RegexpTokenizer, stopwords)
• geocoder
• geopy
• geopy.geocoders (Nominatim)
• warnings
• folium (Map())
• folium.plugins (HeatMap)

Techniques/Concepts covered:

• Importing data (sqlite3)
• NULL handling
• For loops
• If else
• Data manipulation: unique(), replace(), split(), len(), apply(), lambda, type(), crosstab(), astype(), div(), lower(), most_common(), str.contains(), value_counts(), reset_index(), rename(), merge(), def()
• Data visualization: Stacked bar charts, Unigram/Bigram/Trigram charts, Geographical heat maps
• Frequency tables
• Dataframe filtering
• List tokenization
• List comprehension
• Unigram/Bigram/Trigram analysis
• Latitude/Longitude mapping
• Spatial/Geographical analysis