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{ | ||
"nbformat": 4, | ||
"nbformat_minor": 0, | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
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"name": "ipython", | ||
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"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.7.6" | ||
}, | ||
"colab": { | ||
"name": "Power BI visualization task _Iyanuloluwa.ipynb", | ||
"provenance": [], | ||
"include_colab_link": true | ||
} | ||
}, | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"id": "view-in-github", | ||
"colab_type": "text" | ||
}, | ||
"source": [ | ||
"<a href=\"https://colab.research.google.com/github/dmarinere/10academysolution/blob/master/Power_BI_visualization_task__Iyanuloluwa.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"id": "J2Rds7qaU6Ss", | ||
"colab_type": "text" | ||
}, | ||
"source": [ | ||
"# Power BI Dashboard Task" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"id": "ea-V11kjU6Sx", | ||
"colab_type": "text" | ||
}, | ||
"source": [ | ||
"### Section 1: Explore the dashboard KPIs visualization challenge and answer the following questions\n", | ||
"* What is the total number of subscribers in the dataset?\n", | ||
"Answer: 751.06k\n", | ||
"* What is the total revenue?\n", | ||
"Answer: 5.22Billion \n", | ||
"* What is the total number of calls for MTN Ipulse tariff type?\n", | ||
"Answer: 20.11trillion\n", | ||
"* Which cluster_tag is the top voice user?\n", | ||
"Answer: Dormant \n", | ||
"* What is the average voice usage for all the customers?\n", | ||
"Answer: 45.71Billion\n", | ||
"* What is the share of weekday onnet voice usage?\n", | ||
"Answer: 71.08 Seconds\n", | ||
"* What is the share of weekend onnet voice usage?\n", | ||
"Answer: 70.62 Seconds\n", | ||
"* What is the share of weekend offnet voice usage?\n", | ||
"34.03 Seconds\n", | ||
"* What is the share of weekend voice usage (secs)? \n", | ||
"8.9Billion \n", | ||
"* Which cluster has the highest number of calls? \n", | ||
"Platinium\n", | ||
"* Which cluster has the lowest voice usage? \n", | ||
"Dormant\n", | ||
"* Which cluster has the highest night usage? \n", | ||
"Platinium" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"id": "mEN1Ue7LU6S0", | ||
"colab_type": "text" | ||
}, | ||
"source": [ | ||
"### Section 2: Explore the dashboard KPIs visualization challenge and answer the following questions\n", | ||
"* What is the average data usage? \n", | ||
"**1.58Trillion**\n", | ||
"* What is the average data usage for women? \n", | ||
"**1.58Trillion** \n", | ||
"What is the average data usage in ABIA state? \n", | ||
"**1.58Trillion*\n", | ||
"* What is the average data usage in BAUCHI state? \n", | ||
"**1.58Trillion**\n", | ||
"* Which cluster has the highest in bundle data usage? \n", | ||
"**Platinium**\n", | ||
"* What is the average data revenue? \n", | ||
"**50,580.56** \n", | ||
"* What is the average data usage for microsegment 1.10? \n", | ||
"**1.58Trillion**\n", | ||
"* What is the average data usage for the microsegment 0.80? \n", | ||
"**1.58Trillion**" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"id": "fBAPETl8U6S1", | ||
"colab_type": "text" | ||
}, | ||
"source": [ | ||
"### Section 3: Explore the dashboard KPIs visualization challenge and answer the following questions\n", | ||
"* What is the total lifetime value of the customers?\n", | ||
"10.36Billion Naira\n", | ||
"* What is the average sms usage?\n", | ||
"23.68Million\n", | ||
"* What can you diagnose when looking on voice usage trend? \n", | ||
"** we notice that in the 3rd to 4th month there is an huge decline in the usage of the Voice service which starts picking up when the 4th month starts\n", | ||
"* What can you diagnose when looking on sms usage trend? \n", | ||
"** We also notice something similar with the SMS usage service there was a decline in the number of people using it in the 3rd to 4th month it begins to see a growth as the 4th month starts" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"metadata": { | ||
"id": "sAiHJsihU6S3", | ||
"colab_type": "code", | ||
"colab": {} | ||
}, | ||
"source": [ | ||
"" | ||
], | ||
"execution_count": null, | ||
"outputs": [] | ||
} | ||
] | ||
} |