diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@
Data Inspector brings a total of 15 essential exploratory data analysis, data cleaning automations to make a dataset understandable. This is a perfect tool to get started with you data.
-data inspector helps to make
+
## Installation
```pip install data-inspector```
@@ -37,3 +37,9 @@ Package available at https://pypi.org/project/data-inspector/
+### Some visualizations
+
+
+
+
+
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diff --git a/notebook/.ipynb_checkpoints/example notebook-checkpoint.ipynb b/notebook/.ipynb_checkpoints/example notebook-checkpoint.ipynb
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+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebook/example notebook.ipynb b/notebook/example notebook.ipynb
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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Data Inspector \n",
+ "## This module brings different functions to make EDA, data cleaning easier. \n",
+ "### Author: Kazi Amit Hasan\n",
+ "\n",
+ "## Project Description: \n",
+ "\n",
+ "Data Inspector brings a total of 15 essential exploratory data analysis, data cleaning automations to make a dataset understandable. This is a perfect tool to get started with you data.\n",
+ "\n",
+ "\n",
+ "\n",
+ "I tried to show few of the features in this notebook. Hope you will find it helpful\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Installation"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Defaulting to user installation because normal site-packages is not writeable\n",
+ "Requirement already satisfied: data-inspector in /home/aci/.local/lib/python3.8/site-packages (0.0.8)\n",
+ "Requirement already satisfied: seaborn==0.11.1 in /home/aci/.local/lib/python3.8/site-packages (from data-inspector) (0.11.1)\n",
+ "Requirement already satisfied: pandas==1.1.2 in /home/aci/.local/lib/python3.8/site-packages (from data-inspector) (1.1.2)\n",
+ "Requirement already satisfied: numpy==1.18.5 in /home/aci/.local/lib/python3.8/site-packages (from data-inspector) (1.18.5)\n",
+ "Requirement already satisfied: scipy==1.6.2 in /usr/local/lib/python3.8/dist-packages (from data-inspector) (1.6.2)\n",
+ "Requirement already satisfied: matplotlib==3.1.2 in /usr/lib/python3/dist-packages (from data-inspector) (3.1.2)\n",
+ "Requirement already satisfied: python-dateutil>=2.7.3 in /home/aci/.local/lib/python3.8/site-packages (from pandas==1.1.2->data-inspector) (2.8.1)\n",
+ "Requirement already satisfied: pytz>=2017.2 in /usr/lib/python3/dist-packages (from pandas==1.1.2->data-inspector) (2019.3)\n",
+ "Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7.3->pandas==1.1.2->data-inspector) (1.14.0)\n",
+ "\u001b[33mWARNING: You are using pip version 21.0.1; however, version 21.2.4 is available.\n",
+ "You should consider upgrading via the '/usr/bin/python3.8 -m pip install --upgrade pip' command.\u001b[0m\n"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install data-inspector"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Importing data inspector "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import data_inspector as di\n",
+ "import pandas as pd"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data = pd.read_csv('train.csv')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "1 2 1 1 \n",
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+ " Name Sex Age SibSp \\\n",
+ "0 Braund, Mr. Owen Harris male 22.0 1 \n",
+ "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n",
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+ "metadata": {},
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+ ],
+ "source": [
+ "data.head()"
+ ]
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+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Line plot : line_plot(data, x_data, y_data, x_label=\"\", y_label=\"\", title=\"\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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\n",
+ "text/plain": [
+ "