Exploratory Data Analysis on Dogecoin Using Python
By: Ashish Srivastav
Tags: Data Science, Python, Data Analysis, Exploratory Data Analysis, Data Visualization

using Pandas, NumPy, Matplotlib

Data analysis is a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis.

pandas is a software library for data manipulation and analysis.

Dogecoin is a cryptocurrency created by software engineers Billy Markus and Jackson Palmer, who decided to create a payment system as a joke, making fun of the wild speculation in cryptocurrencies at the time. Despite its satirical nature, some consider it a legitimate investment prospect

Here’s is Step-by-step Outline Of the Project:

1. Install Required Library

2. Download Dataset

3. Data Cleaning

4. Looking Into Data, answer some question and Plot Graph Accordingly

Install Required Library.

We Will Start With Installing the required Library like Pandas, Numpy Matplotlib

!pip install pandas

!pip install numpy

!pip install matplotlib

After Installing the required library we import them

After Importing the required library we are done with this section and ready to move into next Section of Downloading the Dataset

Download Dataset

We Start With Downloading the required dataset from Kaggle

After downloading the Dataset we save it into Same project folder where we are Working and import it by Using pandas in project

After Downloading the dataset into our project We now move into next step of Data Cleaning

Data Cleaning

In this process, first we find how many columns we have after that we remove the Unnecessary Column that We don’t use in our project column like “Adj Close ,Volume ”.

After Cleaning the data we have 2454 rows × 5 columns now

Looking Into Data answer some question and Plot Graph Accordingly

In this process, we look into our dataset and try to answer some interesting question from our dataset

Q1. What is the trend of market in first 15 days like in first 15 days which day has highest opening, closing. What is the highest and lowest value in first 15 days and try to plot the trend .

We start with making the data frame of first 15 days then start looking into data and plot graph accordingly.

From this graph we can See the trend of dogecoin in first 15 days and can conclude that on 2014–09–18 and on 2014–09–20 the Dogecoin Was at its lowest With the Value of 0.00027 and Was highest on 2014–09–26 With the Value of around 0.000472 in first 15 Days.

Q2. what is value of Dogecoin on the last day of the every year which year has highest opening and closing. What is the highest and lowest value on the last day of every year and try to plot the trend .

First we try find the data of last day of every year after then make new dataset by appending them in one another.

This is Our final Dataset Which Contain the Data of Last Day Of Every Year .Now we try to find the answer of our question and plot them.

From Graph We Conclude that On the Last Day of Year 2017 Went Well For Dogecoin Because in this year ,Dogecoin Has highest Opening ,highest Closing and has highest Value

Q3. By how much volume of Doge coin increases from Day 1 to last day and try to plot the trend .

Likewise in second question we first try to find the data of Day1 and Last Day after then make new dataset by appending them in one another.

After getting the data now we can answer our question that By how much volume of Doge coin increases from Day 1 to last day

The Dogecoin Was increase by 4955771400 Volume from Day 1 to last day.

Q4.What was the trend of market in Last 20 days of data and plot the trend accordingly.

First We extract the data of last 20 days from our Dataset.

After extracting the data now we try to get insights from our data like which day has highest opening ,highest closing etc.. and try to plot graph accordingly.

Market in last 20 days are something looks like this from this we can conclude that on 2021–05–18 the Dogecoin market reaches to its highest Value after that it Shows a dip.

Summary

1.First downloaded the required library

2. Downloaded our dataset.

3.Removeing the unnecessary data that we not going to use in our project.

4. Start looking into data and try to answer some question and plot graph accordingly

Future Work

Here are some ways in which project can be extended:

1.We can find on a particular day how the trend of Market looks like what is the high, lows ,Opening, Closing

2.We can find on which day has Highest Value, Lowest Value, Volume, Highest Opening ,Highest Closing etc..

3.We can plot graph individually for Highest Value, Lowest Value, Volume, Highest Opening ,Highest Closing etc..

References

Checkout the full notebook here : https://jovian.ai/ashishdotc4/dogecoin-analysis

Githublink:https://github.com/ashish-ash303/Dogecoin-Analysis

Pandas : https://pandas.pydata.org/

Matplotlib:https://matplotlib.org/

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