Thank you so much!!! It feels great to hear this!!!

Prajakta Patil

Hi Kardam, Migraine is exactly what I got when looking at the data or when Seema was looking for the numbers. I wanted to portray the complexity of the companies in my visualisation, hence the chart. I designed it like I would design a game where the reader would have to be involved in looking for data and making sense of it. I guess the idea didn't work. Thank you for your feedback. I'll make sure we do better next time. :)

Prajakta Patil

Hello Venkatarangan, Thank you for your comment; we will work on it your feedback. I wanted to use a visualisation that depicted the complexity of both companies' business models hence the experiment with the layout. I've now learnt that it wasn't a great idea. :D

Prajakta Patil

Hi Ratheejit, Happy to know that you found the post very lucid. I hope the following points help you with your queries: 1. In-app purchases would refer to revenue that flows through the app stores. It would not include other revenue generators like the official website, for example. 2. The data pertaining to Southeast Asia does not include India, primarily because the regional trends vary. Coming to your other point, we did analyse region specific trends for video app downloads and spending, but it did reveal much other than what the broad data already says, which is why we did not include it in our data visualisation.

Prajakta Patil

Thanks Ekta, but it will be unfair to take all the credit for it. All the infographics you see are a product of extensive research made by Seema with a few contributions from me. I merely helped in executing the ambitious data visualisation ideas.

Prajakta Patil

Thank you for your inputs Kardam. You make a valid point when you say that we should standardise our units. Ideally we prefer mentioning numbers upto two decimal places. In this case, the original values for the top three companies were mentioned in trillion and post conversion, we did not have exact values for the first two decimal places. Hence only those three differ in the format.

Prajakta Patil

Hi Kiran, the dataset used for the study is composed of a little over 135,000 hotels to which our data partner Rategain has access. But the number varies from country to country. Hence, we've mentioned only the scale and not the actual values. The idea is to show growth over a period of time for the same number of hotels in each country.

Prajakta Patil

Thanks Aritra, these are some really interesting points you've made.

Prajakta Patil

Hi Devadas, the story presents an overview of the impact that lockdown has had on e-commerce companies and is not a one to one comparison between the players. With respect to price hikes, the numbers presented in the story are averages based on data collected by Dataweave on over 25,000 products in 30 cities across India, and at an individual level the prices for some products could be much higher.

Prajakta Patil

Hi Ankit, while comparing data for two separate periods would be interesting, the idea of the story is to quantitatively understand the impact of lockdown on e-commerce companies, which is why a much larger timeframe was chosen.

Prajakta Patil

Hi Kardam, yes stock availability and price hikes have seen fluctuations geographically in some categories but nothing to establish a trend yet.

Prajakta Patil

Hi Soumalya, I agree that the pure play e-grocers have an advantage over other e-commerce players, but this did not translate into revenue because they were logistically unprepared to cater to a high surge in demand. We've done a detailed story on this, here's the link: https://the-ken.com/story/covid-19-spurs-indian-e-commerce-to-raise-stakes-in-grocery-gamble/. About your question on price increase, I think the data provides limited evidence to suggest either causation or correlation, especially in these exceptional times.

Prajakta Patil